Loveleen Gaur

Scopus Publications

Towards secure democracy: a hybrid blockchain-enabled secure and scalable e-voting system with sharding and post-quantum cryptography
Rabiul Rahat, Sohel Ahmed Joni, Nishat Tasnin, Partho Ghose, Loveleen Gaur
International Journal of System Assurance Engineering and Management, 2026
A novel fuzzy clustering approach with transition matrix for explainable evaluation of social media-based digital literacy interventions
Rustam, Diana Noor Anggraini, Koredianto Usman, Loveleen Gaur
Expert Systems with Applications, 2026
Guest editorial: Unleashing the power of crowdsourcing, open innovation and co-creation for enhancing quality and business excellence
Gurmeet Singh, Loveleen Gaur
TQM Journal, 2026
As organizations strive to remain competitive in an increasingly dynamic business landscape, the principles of Total Quality Management (TQM) are being reshaped by digital transformation, distributed knowledge and the rising expectations for participation. The present Special Issue, “Crowdsourcing, Open Innovation, and Co-creation for Enhancing Quality and Business,” explores this shifting paradigm through a multidisciplinary lens. The selected papers in this issue bring forward novel frameworks, empirical insights and practical recommendations for how firms and public organizations can enhance quality and performance by engaging broader ecosystems of contributors.The paper by Sboui et al. (2026) investigates initial trust in AI-based chatbots among Generation Z users in Tunisia's telecommunications sector. Their structural equation modeling results highlight that compatibility and social influence enhance trust, while technology anxiety reduces it. Interestingly, perceived ease of use and performance expectancy do not have significant influence. These findings emphasize that successful co-creation with AI systems depends on more than just functionality – it also requires a socio-technical alignment with user expectations and emotional comfort.Two papers explore how gamification and community dynamics can stimulate user engagement on digital platforms. Sharma et al. (2026) apply the DeLone & McLean model and self-determination theory to explore the behavioral outcomes of crowdsourcing within Pokémon Go communities. Their results suggest that system and information quality, combined with intrinsic motivation, drive engagement from consumption to content creation.In parallel, Behl et al. (2026) examine productivity and engagement of gig workers through the lens of media richness and dialogic communication theories. Their results reinforce the role of high-quality, two-way interaction in motivating gig workers, especially when game elements are included. Both papers offer valuable implications for platform designers and digital strategists aiming to maximize engagement quality.Grimaldi et al. (2026) present a systematic literature review that consolidates knowledge on how crowdsourcing supports quality improvement in production and manufacturing processes. This paper fills a critical gap by categorizing the advantages, challenges and potential application domains for organizations seeking to integrate crowdsourcing into their innovation pipelines.Chang et al. (2026) propose a novel DFSS methodology tailored to the insurance sector, combining TRIZ and the Importance–Satisfaction model. Their practical case study demonstrates how new service designs can reduce customer complaints and enhance satisfaction. It serves as a benchmark for structured innovation in service settings.Meanwhile, Jha et al. (2026) explore open-source innovation in the pharmaceutical industry. Their comparative case study of malaria and tuberculosis drug discovery initiatives reveal the nuanced factors influencing successful open design. In resource-constrained and high-impact domains, open innovation offers a promising path for developing quality-driven solutions with societal benefit.Caporuscio et al. (2026) examine smart city infrastructure and propose a dynamic simulation comparing silo-based versus crowdsourced data architectures. Their findings show that crowdsourcing configurations generate more value for app developers and end-users, thereby enhancing the smart city ecosystem.In another public-facing study, the paper by Garcia-Ledezma and Zubieta (2026) on Mexico City's Bus Rapid Transit system illustrates how Twitter enables real-time user participation in service monitoring. Through sentiment and content analysis, the study reveals how digital public feedback loops can drive service quality improvements – a prime example of co-creation in public transportation.Rao et al. (2026) explore how customer-perceived employee competence influences loyalty through justice perception and customer affection in the Indian banking context. Their study adds an important behavioral layer to the quality conversation, demonstrating that emotional and ethical dimensions of service encounters strongly impact long-term loyalty – particularly in rural and underbanked regions.The papers in this Special Issue collectively affirm that crowdsourcing, open innovation and co-creation are no longer experimental ideas but core mechanisms for enhancing quality and competitive advantage. Whether through enabling citizen voice, integrating gig work into innovation workflows or leveraging emotional and trust-based mechanisms in AI and human service channels, the principles of TQM are being extended into participatory, intelligent and dynamic domains.For scholars, this collection provides rich theoretical foundations and empirical paths for future research. For practitioners, it offers actionable insights into designing collaborative and inclusive quality strategies that align with today's complex, digital-first environments.As we look forward, The TQM Journal remains committed to supporting scholarship that bridges theory and practice, innovation and tradition and inclusivity with excellence in quality management.We thank all authors and reviewers for their valuable contributions and insights. Special thanks to the editorial board and the Emerald production team for their support in bringing this issue to fruition.
An Interpretable Machine Learning Framework for Anxiety Detection
Devanshi Gaur, Loveleen Gaur
International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
We investigated and assessed the SWELL Knowledge Work Dataset's HRV characteristics for anxiety identification. The model used is linear classification model under five-fold stratified cross-validation. The subsequent performance is average but constant, that reflects the intrinsic similarity between Anxiety and non-Anxiety autonomic responses rather than model overfitting. The feature importance and distributional analyses are also conducted to highlight the influence of cardiac timing and interim variability measures that are constant with proven autonomic physiology. The results demonstrated that transparent models could catch significant Anxiety-related signals from HRV signals and thus create a careful and physiology-conscious methodology to Anxiety analytics.
Adaptive Machine Learning-Driven Operational Risk Assessment for Autonomous Digital Transformation Systems
Parvathy Raman, Loveleen Gaur
2026 Innovations in Machine Engineering and Digital Conference Imed 2026, 2026
Systems for autonomous digital transformation are based on machine learning (ML)-based control loops and self-managing infrastructure where operational failures often propagate through complex interactions. Static rules-based traditional risk assessment methodologies are not sufficient to address such an environment. This paper discusses an adaptive, ML model for operational risk assessment of autonomous digital systems under uncertainty. Operational risk is modeled as a forward-looking probabilistic signal derived from temporal task-event telemetry. We assess the approach with task event traces from Google cluster tasks. Risk events are generated by extreme temporal variations in task lifecycle transitions, indicating the scheduling instability that comes ahead of operational degradation. Performance analysis results show the performance to be excellent under extreme class imbalance (positive rate ≈ 0.54%), obtaining an ROC-AUC of 1.00 and precision-recall AUC of 0.959. Results from risk timeline analysis confirm higher risk scores are in fact typically observed before events of instability, substantiating the fit of this framework for the early warning of autonomous digital transformation systems.
A Comparative Analysis of Term Deposits in India Before and After UPI Adoption
Shriram Gaur, Loveleen Gaur, Parimala Veluvali
International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
The Indian finance sector has changed significantly since the introduction of the Unified Payments Interface (UPI) in 2016. This framework not only provides an instant, low-cost, and around-the-clock money transfer but also makes payments frictionless. It immensely reduced the dependency on cash/credit/debit cards and gained so much popularity that it is used equally by both smaller merchants and large brands. UPI adoption has been exponential in its short lifespan. Therefore, extensive research has been conducted to highlight its impact on consumer behavior and financial implications. However, few studies have been conducted to understand its impact on traditional saving instruments, such as term deposits (which include fixed and recurring deposits). This study implements a descriptive, comparative, and correlational research design methodology using secondary data. This secondary data comprises monthly term deposit data published by the RBI on its website and UPI monthly transaction volume data available on the NCPI website. The results indicate moderate growth in term deposits in the post-UPI period. The correlation analysis indicates a weak positive association (0.34) between UPI transactions and term deposit growth. This indicates that the UPI may have acted as a behavioral inflection point rather than a direct causal factor. Hence, this study contributes to existing literature by suggesting how payment convenience may indirectly impact traditional term deposits.
Modeling Adoption Intention of Generative AI Chatbots in Higher Education: A Quantitative Decision-Oriented Analysis
Shubham Puranik, Loveleen Gaur, Ramakrishnan Raman
2026 Innovations in Machine Engineering and Digital Conference Imed 2026, 2026
Generative AI (GenAI) chatbots application in educational settings is influenced by measurable decisions and utility features rather than understanding or perceived risk. We propose a measurable adoption intention model utilizing survey data collected from 131 university students. Multiple constructs demonstrating perceived benefits, awareness, concerns, and institutional challenges were analyzed using multiple linear regression. The model explained 30.0% of the variance in adoption intention (R<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> = 0.300, F = 13.47, p < 0.001). Perceived benefits emerged as the dominant predictor (β = 0.428, p < 0.001), while awareness (p = 0.906), concerns (p = 0.574), and challenges (p = 0.103) did not demonstrate self-sufficient statistical significance. The results imply that adoption intention is predominantly utility-driven rather than controlled by familiarity or perceived risk. This study contributes a quantitative, system-level viewpoint on the implementation of GenAI chatbots in higher education.
Secure and Explainable Generative AI and Consumer Trust in India: A Thematic Analysis and Systematic Review
Subhadeep Ghosh, Loveleen Gaur, R Meenakshi, Ramakrishnan Raman
2026 Innovations in Machine Engineering and Digital Conference Imed 2026, 2026
Generative AI application is becoming one of the most effective technologies that attracts a large number of consumers and organization. The lack of research on explainable AI (XAI) created an influence on the author to initiate this study. The primary objective of this study is to identify the impact of secure and trustworthy XAI on Indian consumer purchase decisions, trust, and behavior. Prisma 2020 and the systematic literature review method have been used by the researcher to evaluate 45 peer-reviewed journal articles. The overall findings indicate consumer preference are being increased towards the Explainable AI and trustworthiness in the Generative AI. This study discusses different psychological factors along with the regulatory framework to derive the implications of this technology and the policies. This SLR highlights the emergency of contact-aware emergency responses and responsible approaches to foster sustainable consumer trust.
Generative AI-Driven Conversational Commerce and Consumer Behavior: Investigating Trust, Social Influence, and Purchase Intent in India's Direct Selling Sector
Subhadeep Ghosh, Loveleen Gaur, R Meenakshi, Ramakrishnan Raman
2026 Innovations in Machine Engineering and Digital Conference Imed 2026, 2026
Generative artificial intelligence (AI) is currently being deployed in different industries. However, in the direct selling industry, most people prefer social influence over any kind of technology. Hence, systematic literature review of 33 articles guided by PRISMA were done in this study. Trust, perceived usefulness, anthropomorphism, and social influence are the primary drivers of purchase intention. The generative AI has enormous potential for increasing decision-making and informal engagement in the direct selling model. Trust in AI can directly influence confidence and purchase intention. Personalization and perceived usefulness add a good amount of consumer value by simplifying information processing and reducing uncertainty in purchase decisions. Therefore, the literature suggests with the help of a proper conceptual model, generative AI-driven conversational commerce can boom the direct selling industry by having trust, purchase intent, and social influence. As per the research gap, this study only includes data from previously researched articles, no data has been taken by doing primary data collection.
Generative AI in Organizational Learning: Knowledge Structure and Trend
Subhadeep Ghosh, Anam Afaq, Loveleen Gaur, R Meenakshi, Ramakrishnan Raman
International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
The rapid proliferation of generative artificial intelligence (GenAI) within organizations raises questions about how AI will enable employees to learn new competencies through an OL lens. Previous research on AI-enabled learning and skill formation, while recognized separately, rarely disentangles GenAI adoption from learning and competencies. In this study, we adopt a focused exploratory synthesis to explore this intersection further and propose a G-M-O-C framework to conceptually map GenAI, managerial orientation, OLC, and competencies. Using a PRISMA-guided screening process for transparency, we analyzed a targeted corpus of peerreviewed studies through bibliometric mapping and thematic synthesis to identify more dominant conceptual overlaps above statistical effect sizes. Our findings suggest that GenAI contributes to competency development through learning systems (managerial systems) rather than simply through technology adoption. By reframing GenAI as a socio-technical enabler embedded within learning systems, we attempt to build a theory as a next step for future empirical and longitudinal research on workforce development in deep AI-enabled organizations.
An integrated model to evaluate the transparency in predicting employee churn using explainable artificial intelligence
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti, Gurmeet Singh, Paul Jones, Sascha Kraus
Journal of Innovation and Knowledge, 2025
A critical insight into the intersection of sustainability and technology
Anam Afaq, Loveleen Gaur, Gurmeet Singh, Michal Erben, Alberto Ferraris
International Journal of Contemporary Hospitality Management, 2025
Generative Artificial Intelligence and Ethics for Healthcare
Generative Artificial Intelligence and Ethics for Healthcare, 2025
Base learners and weak learners: The building blocks of ensemble learning
Ensemble Machine Learning Advances in Research and Applications, 2024
Ensemble machine learning: Advances in research and applications
Ensemble Machine Learning Advances in Research and Applications, 2024
Preface
Ensemble Machine Learning Advances in Research and Applications, 2024
Exploring new dimensions in OTT consumption: an empirical study on perceived risks, descriptive norms and goal-directed behaviour
Garima Sahu, Gurinder Singh, Gurmeet Singh, Loveleen Gaur
Asia Pacific Journal of Marketing and Logistics, 2024
Landscape of next generation sequencing using pattern recognition: Performance analysis and applications
Landscape of Next Generation Sequencing Using Pattern Recognition Performance Analysis and Applications, 2024
Sustainability metrics and measurement in industry 4.0-enabled SCM
Siva Raja Sindiramutty, NZ Jhanjhi, Chong Eng Tan, Navid Ali Khan, Husin Jazri, Loveleen Gaur
Convergence of Industry 4 0 and Supply Chain Sustainability, 2024
Preface
Generative Artificial Intelligence and Ethics Standards Guidelines and Best Practices, 2024
From Algorithms to Ethics: XAI’s Impact on E-Commerce
Loveleen Gaur
Studies in Computational Intelligence, 2024
Responsible Implementations of Generative AI for Multidisciplinary Use
Gaur, Loveleen
Responsible Implementations of Generative AI for Multidisciplinary Use, 2024
Generative Artificial Intelligence and Ethics: Standards, Guidelines, and Best Practices
Gaur, Loveleen
Generative Artificial Intelligence and Ethics Standards Guidelines and Best Practices, 2024
Ethical Considerations: Case Scenarios
Loveleen Gaur, Devanshi Gaur
Studies in Computational Intelligence, 2024
Amyotrophic Lateral Sclerosis (ALS) Monitoring Using Explainable AI
Loveleen Gaur, Devanshi Gaur
Studies in Computational Intelligence, 2024
Explainable Artificial Intelligence (XAI) on Neurogenerative Diseases
Loveleen Gaur, Devanshi Gaur
Studies in Computational Intelligence, 2024
Decoding the Recommender System: A Comprehensive Guide to Explainable AI in E-commerce
Garima Sahu, Loveleen Gaur
Studies in Computational Intelligence, 2024
IoT-Based Railway Logistics: Security Issues and Challenges
N.Z. Jhanjhi, Loveleen Gaur, Imran Taj
Cybersecurity in the Transportation Industry, 2024
Global Navigation Satellite Systems for Logistics: Cybersecurity Issues and Challenges
Noor Zaman Jhanjhi, Loveleen Gaur, Navid Ali Khan
Cybersecurity in the Transportation Industry, 2024
Promises, Opportunities, and Challenges
Anam Afaq, Meenu Chaudhary, Loveleen Gaur
Generative Artificial Intelligence and Ethics Standards Guidelines and Best Practices, 2024
From Code to Conscience: Ethics and Generative Artificial Intelligence
Meenu Chaudhary, Saloni Tiwari, Ajay Gangele, Loveleen Gaur
Responsible Implementations of Generative AI for Multidisciplinary Use, 2024
Generative AI’s Impact on the Hospitality Industry
Anam Afaq, Meenu Chaudhary, Loveleen Gaur, Rajender Kumar
Generative Artificial Intelligence and Ethics Standards Guidelines and Best Practices, 2024
Introduction to Explainable AI (XAI) in E-Commerce
Meenu Chaudhary, Loveleen Gaur, Gurinder Singh, Anam Afaq
Studies in Computational Intelligence, 2024
Editorial: Advancements of deep learning in medical imaging for neurodegenerative diseases
Loveleen Gaur, Patrick Siarry, Ajith Abraham, Oscar Castillo
Frontiers in Neuroscience, 2024
Preface
Metaverse Applications for Intelligent Healthcare, 2023
Metaverse applications for intelligent healthcare
Metaverse Applications for Intelligent Healthcare, 2023
Demystifying metaverse applications for intelligent healthcare
Loveleen Gaur, Devanshi Gaur, Anam Afaq
Metaverse Applications for Intelligent Healthcare, 2023
Ethical considerations in the use of the metaverse for healthcare
Loveleen Gaur, Devanshi Gaur, Anam Afaq
Metaverse Applications for Intelligent Healthcare, 2023
Metaverse: Virtual meditation
Siva Raja Sindiramutty, Noor Zaman Jhanjhi, Sayan Kumar Ray, Husin Jazri, Navid Ali Khan, Loveleen Gaur
Metaverse Applications for Intelligent Healthcare, 2023
Metaverse: Virtual gyms and sports
Siva Raja Sindiramutty, Noor Zaman Jhanjhi, Sayan Kumar Ray, Husin Jazri, Navid Ali Khan, Loveleen Gaur, Abdalla Gharib, Amaranadha Reddy Manchuri
Metaverse Applications for Intelligent Healthcare, 2023
Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer's Disease
Gaur Loveleen, Bhandari Mohan, Bhadwal Singh Shikhar, Jhanjhi Nz, Mohammad Shorfuzzaman, Mehedi Masud
ACM Transactions on Multimedia Computing Communications and Applications, 2023
Artificial intelligence for carbon emissions using system of systems theory
Loveleen Gaur, Anam Afaq, Gursimar Kaur Arora, Nabeel Khan
Ecological Informatics, 2023
Disruptive technologies in international business: Challenges and opportunities for emerging markets
Maurya, Alka ca. 20./21. Jh., Munoz, J. Mark, Gaur, Loveleen, Singh, Gurinder, Walter de Gruyter GmbH & Co. KG
Disruptive Technologies in International Business Challenges and Opportunities for Emerging Markets, 2023
Medical image-based detection of COVID-19 using Deep Convolution Neural Networks
Loveleen Gaur, Ujwal Bhatia, N. Z. Jhanjhi, Ghulam Muhammad, Mehedi Masud
Multimedia Systems, 2023
Preface
Emerging Trends Techniques and Applications in Geospatial Data Science, 2023
Emerging trends, techniques, and applications in geospatial data science
Gaur, Loveleen, Garg, Pradeep K.
Emerging Trends Techniques and Applications in Geospatial Data Science, 2023
A trip down memory lane to travellers’ food experiences
Anam Afaq, Loveleen Gaur, Gurmeet Singh
British Food Journal, 2023
Social CRM: linking the dots of customer service and customer loyalty during COVID-19 in the hotel industry
Anam Afaq, Loveleen Gaur, Gurmeet Singh
International Journal of Contemporary Hospitality Management, 2023
BrainSegNeT: A Lightweight Brain Tumor Segmentation Model Based on U-Net and Progressive Neuron Expansion
Partho Ghose, Milon Biswas, Loveleen Gaur
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2023
Investigating the impact of Personality Tendencies and Gratification Aspects on OTT Short Video Consumption: A case of YouTube Shorts
Garima Sahu, Loveleen Gaur, Gurmeet Singh
Proceedings of 2023 3rd International Conference on Innovative Practices in Technology and Management Iciptm 2023, 2023
COVID-19: transforming air passengers’ behaviour and reshaping their expectations towards the airline industry
Anam Afaq, Loveleen Gaur, Gurmeet Singh, Amandeep Dhir
Tourism Recreation Research, 2023
Aspect-Based Opinion Mining of Customer Reviews in the Hospitality Industry: Leveraging Recursive Neural Tensor Network Algorithm
Anam Afaq, Gurinder Singh, Loveleen Gaur, Shikha Kapoor
Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
Supervised Neural Networks for Fruit Identification
Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Louisa Kessi, Loveleen Gaur
Communications in Computer and Information Science, 2023
Auguring Fake Face Images Using Dual Input Convolution Neural Network
Mohan Bhandari, Arjun Neupane, Saurav Mallik, Loveleen Gaur, Hong Qin
Journal of Imaging, 2023
Light Convolutional Neural Network to Detect Eye Diseases from Retinal Images: Diabetic Retinopathy and Glaucoma
Milon Biswas, Sudipto Chaki, Saurav Mallik, Loveleen Gaur, Kanad Ray
Lecture Notes in Networks and Systems, 2023
SMLBT: secure machine learning and blockchain-based telemedicine model for the remote areas of developing countries
Milon Biswas, Atanu Shome, Prodipta Promit Mukherjee, Loveleen Gaur, Zhongming Zhao
International Journal of Computational Biology and Drug Design, 2023
HAC-Bchain: A Secure and Scalable Blockchain-Shard Based E-Voting System
Sohel Ahmed Joni, Rabiul Rahat, Nishat Tasnin, Partho Ghose, Loveleen Gaur
Proceedings of 2023 IEEE Technology and Engineering Management Conference Asia Pacific Temscon Aspac 2023, 2023
Leveraging Unity 3D and Vuforia Engine for Augmented Reality Application Development
Meenu Chaudhary, Gurinder Singh, Loveleen Gaur, Nidhi Mathur, Shikha Kapoor
Proceedings International Conference on Technological Advancements in Computational Sciences Ictacs 2023, 2023
IoT-enabled convolutional neural networks: Techniques and applications
Iot Enabled Convolutional Neural Networks Techniques and Applications, 2022
Intelligent Decision Support Systems for Smart City Applications
Intelligent Decision Support Systems for Smart City Applications, 2022
Preface
Intelligent Decision Support Systems for Smart City Applications, 2022
Preface
Digital Twins and Healthcare Trends Techniques and Challenges, 2022
Digital twins and healthcare: Trends, techniques, and challenges
Gaur, Loveleen, Zaman, Noor 1972-
Digital Twins and Healthcare Trends Techniques and Challenges, 2022
Digital twin and healthcare research agenda and bibliometric analysis
Loveleen Gaur, Jyoti Rana, Noor Zaman Jhanjhi
Digital Twins and Healthcare Trends Techniques and Challenges, 2022
The role of the IoT and digital twin in the healthcare digitalization process: IoT and digital twin in the healthcare digitalization process
Imdad Ali Shah, Quratulain Sial, Noor Zaman Jhanjhi, Loveleen Gaur
Digital Twins and Healthcare Trends Techniques and Challenges, 2022
Use cases for digital twin
Imdad A Shah, Quratulain Sial, N. Z. Jhanjhi, Loveleen Gaur
Digital Twins and Healthcare Trends Techniques and Challenges, 2022
Cybersecurity in Smart Cities: Detection of Opposing Decisions on Anomalies in the Computer Network Behavior
Danijela Protic, Loveleen Gaur, Miomir Stankovic, Md Anisur Rahman
Electronics Switzerland, 2022
Detecting COVID-19 infection status from chest X-ray and CT scan via single transfer learning-driven approach
Partho Ghose, Muhaddid Alavi, Mehnaz Tabassum, Md. Ashraf Uddin, Milon Biswas, Kawsher Mahbub, Loveleen Gaur, Saurav Mallik, Zhongming Zhao
Frontiers in Genetics, 2022
Exploring customer adoption of autonomous shopping systems
Shavneet Sharma, Gurmeet Singh, Loveleen Gaur, Anam Afaq
Telematics and Informatics, 2022
Reinforcing customer journey through artificial intelligence: a review and research agenda
Jyoti Rana, Loveleen Gaur, Gurmeet Singh, Usama Awan, Muhammad Imran Rasheed
International Journal of Emerging Markets, 2022
Does psychological distance and religiosity influence fraudulent customer behaviour?
Shavneet Sharma, Gurmeet Singh, Loveleen Gaur, Rashmini Sharma
International Journal of Consumer Studies, 2022
Applications of computational intelligence techniques to software engineering problems
Loveleen Gaur, Gurinder Singh, Mike Hinchey, Gurmeet Singh, Vishal Jain
Innovations in Systems and Software Engineering, 2022
Deep features to detect pulmonary abnormalities in chest X-rays due to infectious diseaseX: Covid-19, pneumonia, and tuberculosis
Md. Kawsher Mahbub, Milon Biswas, Loveleen Gaur, Fayadh Alenezi, KC Santosh
Information Sciences, 2022
Explanation-Driven Deep Learning Model for Prediction of Brain Tumour Status Using MRI Image Data
Loveleen Gaur, Mohan Bhandari, Tanvi Razdan, Saurav Mallik, Zhongming Zhao
Frontiers in Genetics, 2022
Approaches and applications of deep learning in virtual medical care
Humayun, Mamoona, Gaur, Loveleen, Zaman, Noor, IGI Global
Approaches and Applications of Deep Learning in Virtual Medical Care, 2022
Preface
Approaches and Applications of Deep Learning in Virtual Medical Care, 2022
Optimized breast cancer premature detection method with computational segmentation: A systematic review mapping
Soobia Saeed, Noor Zaman Jhanjhi, Mehmood Naqvi, Mamoona Humyun, Muneer Ahmad, Loveleen Gaur
Approaches and Applications of Deep Learning in Virtual Medical Care, 2022
A systematic mapping study of low-grade tumor of brain cancer and CSF fluid detecting approaches and parameters
Soobia Saeed, Habibullah Bin Haroon, Mehmood Naqvi, Noor Zaman Jhanjhi, Muneer Ahmad, Loveleen Gaur
Approaches and Applications of Deep Learning in Virtual Medical Care, 2022
Explainable Artificial Intelligence for Intelligent Transportation Systems: Ethics and Applications
Loveleen Gaur, Biswa Mohan Sahoo
Explainable Artificial Intelligence for Intelligent Transportation Systems Ethics and Applications, 2022
Lean and Green in Supply Chain Management: Push and Pull Mechanism
Loveleen Gaur, Aayush Tyagi
Management and Industrial Engineering, 2022
A Latent Dirichlet Allocation Technique for Opinion Mining of Online Reviews of Global Chain Hotels
Anam Afaq, Loveleen Gaur, Gurmeet Singh
Proceedings of 3rd International Conference on Intelligent Engineering and Management Iciem 2022, 2022
Analyzing the Users' De-familiarity with Thumbnails on OTT Platforms to Influence Content Streaming
Garima Sahu, Loveleen Gaur, Gurmeet Singh
3rd IEEE 2022 International Conference on Computing Communication and Intelligent Systems Icccis 2022, 2022
Classifying Customers' Journey from Online Reviews of Amazon Fresh via Sentiment Analysis and Topic Modelling
Jyoti Rana, Loveleen Gaur, KC Santosh
Proceedings 2022 3rd International Conference on Computation Automation and Knowledge Management Iccakm 2022, 2022
Comparative Analysis of Entropy Weight Method and C5 Classifier for Predicting Employee Churn
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti
Proceedings of 3rd International Conference on Intelligent Engineering and Management Iciem 2022, 2022
Cloud Driven Framework for Skin Cancer Detection using Deep CNN
Loveleen Gaur, Ujwal Bhatia, Sumedha Bakshi
Proceedings of 2nd International Conference on Innovative Practices in Technology and Management Iciptm 2022, 2022
Detecting the Employee Satisfaction in Retail: A Latent Dirichlet Allocation and Machine Learning approach
Meenu Chaudhary, Loveleen Gaur, Amlan Chakrabarti
Proceedings 2022 3rd International Conference on Computation Automation and Knowledge Management Iccakm 2022, 2022
Impact of customer experience on attitude and repurchase intention in online grocery retailing: A moderation mechanism of value Co-creation
Kumari Anshu, Loveleen Gaur, Gurmeet Singh
Journal of Retailing and Consumer Services, 2022
Evaluating Performance of Adam Optimization by Proposing Energy Index
Mohan Bhandari, Pramod Parajuli, Pralhad Chapagain, Loveleen Gaur
Communications in Computer and Information Science, 2022
Air Quality Index (AQI) Using Time Series Modelling During COVID Pandemic
Aayush Tyagi, Loveleen Gaur, Gurinder Singh, Anil Kumar
Lecture Notes in Electrical Engineering, 2022
Analyzing Consequences of Artificial Intelligence on Jobs using Topic Modeling and Keyword Extraction
Loveleen Gaur, Noor Zaman Jhanjhi, Sumedha Bakshi, Pranshi Gupta
Proceedings of 2nd International Conference on Innovative Practices in Technology and Management Iciptm 2022, 2022
Determinants of Artificial Intelligence Systems and Its Impact on the Performance of Accounting Firms
Shelly Oberoi, Sunil Kumar, R. K. Sharma, Loveleen Gaur
Lecture Notes in Electrical Engineering, 2022
Grid-Search Integrated Optimized Support Vector Machine Model for Breast Cancer Detection
Partho Ghose, Selina Sharmin, Loveleen Gaur, Zhongming Zhao
Proceedings 2022 IEEE International Conference on Bioinformatics and Biomedicine Bibm 2022, 2022
Envisaging Employee Churn Using MCDM and Machine Learning
Meenu Chaudhary, Loveleen Gaur, NZ Jhanjhi, Mehedi Masud, Sultan Aljahdali
Intelligent Automation and Soft Computing, 2022
The Function of Driver Categorisation in the Ride-Hailing Industry: A study on On-demand Transport
Meenu Chaudhary, Ajay Gangele, Mohd Naved, Loveleen Gaur, Gurinder Singh
Proceedings 2022 3rd International Conference on Computation Automation and Knowledge Management Iccakm 2022, 2022
A Secured Peer-to-Peer Messaging System Based on Blockchain
Shamim Ahmed, Milon Biswas, Md. Hasanuzzaman, Md. Julkar Nayeen Mahi, Md. Ashraful Islam, Sudipto Chaki, Loveleen Gaur
Proceedings of 3rd International Conference on Intelligent Engineering and Management Iciem 2022, 2022
An Intelligent and Multi-Functional Stick for Blind People Using IoT
Shamim Ahmed, Md. Munam Shaharier, Srijan Roy, Anika Akhtar Lima, Milon Biswas, Md. Julkar Nayeen Mahi, Sudipto Chaki, Loveleen Gaur
Proceedings of 3rd International Conference on Intelligent Engineering and Management Iciem 2022, 2022
Prototype Development of an Assistive Smart-Stick for the Visually Challenged Persons
Milon Biswas, Sudipto Chaki, Fahad Ahammed, Adeeba Anis, Jannatul Ferdous, Atiya Masuda Siddika, Dipu Akter Shila, Loveleen Gaur
Proceedings of 2nd International Conference on Innovative Practices in Technology and Management Iciptm 2022, 2022
Applying niche and gratification theory approach to examine the users' indulgence towards over-the-top platforms and conventional TV
Garima Sahu, Loveleen Gaur, Gurmeet Singh
Telematics and Informatics, 2021
Role of artificial intelligence and robotics to foster the touchless travel during a pandemic: a review and research agenda
Loveleen Gaur, Anam Afaq, Gurmeet Singh, Yogesh Kumar Dwivedi
International Journal of Contemporary Hospitality Management, 2021
Capitalizing on big data and revolutionary 5G technology: Extracting and visualizing ratings and reviews of global chain hotels
Loveleen Gaur, Anam Afaq, Arun Solanki, Gurmeet Singh, Shavneet Sharma, N.Z. Jhanjhi, Hoang Thi My, Dac-Nhuong Le
Computers and Electrical Engineering, 2021
AI in Sustainable Public Healthcare
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
AI in Precision Medicine
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Societal Impact:- AI in Public Health Issues
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Introduction to AI in Public Health
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Open Public Health Issues
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Preface
Springerbriefs in Applied Sciences and Technology, 2021
The Rise of Robots to Help Combat Covid-19
Anam Afaq, Loveleen Gaur
Proceedings of International Conference on Technological Advancements and Innovations Ictai 2021, 2021
COVID-19 a “BIG RESET”—Role of GHRM in Achieving Organisational Sustainability in Context to Asian Market
Meenu Chaudhary, Loveleen Gaur
Lecture Notes in Networks and Systems, 2021
Privacy, Security, and Ethical Issues
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Case Studies—AI for Infectious Disease
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
AI Solutions to Public Health Issues
KC Santosh, Loveleen Gaur
Springerbriefs in Applied Sciences and Technology, 2021
Predictability, Power and Procedures of Citation Analysis
Sandeep Mathur, Loveleen Gaur
Lecture Notes in Networks and Systems, 2021
Leveraging Artificial Intelligence Tools to Combat the COVID-19 Crisis
Loveleen Gaur, Gurinder Singh, Vernika Agarwal
Communications in Computer and Information Science, 2021
COVID-19 Real Time Impact Analysis India vs USA
Govind Agarwal, Loveleen Gaur, Ankur Singh Bist
Communications in Computer and Information Science, 2021
Impact of chatbot in transforming the face of retailing-an empirical model of antecedents and outcomes
Kumari Anshu, Loveleen Gaur, Arun Solanki
Recent Advances in Computer Science and Communications, 2021
Disposition of Youth in Predicting Sustainable Development Goals Using the Neuro-fuzzy and Random Forest Algorithms
Loveleen Gaur, Gurmeet Singh, Arun Solanki, N. Z. Jhanjhi, Ujwal Bhatia, et al.
Human Centric Computing and Information Sciences, 2021
Metamorphosis of CRM: Incorporation of social media to customer relationship management in the hospitality industry
Loveleen Gaur, Anam Afaq
Handbook of Research on Engineering Innovations and Technology Management in Organizations, 2020
Preface
Gaur, Loveleen, Solanki, Arun 1985-, Jain, Vishal, Khazanchi, Deepak
Handbook of Research on Engineering Innovations and Technology Management in Organizations, 2020
Handbook of research on engineering innovations and technology management in organizations
Handbook of Research on Engineering Innovations and Technology Management in Organizations, 2020
Preface
Handbook of Research on Engineering Innovations and Technology Management in Organizations, 2020
Handbook of research on engineering innovations and technology management in organizations
Gaur, Loveleen, Solanki, Arun 1985-, Jain, Vishal, Khazanchi, Deepak
Handbook of Research on Engineering Innovations and Technology Management in Organizations, 2020
Developing internet of things maturity model (IoT-MM) for manufacturing
Information Technology, Amity International Business School, Noida, India., Dr Loveleen Gaur*, Ravi Ramakrishnan, Research Scholar, Amity International Business School, Noida, India.
International Journal of Innovative Technology and Exploring Engineering, 2019
Evaluating niche e-commerce indian retail websites: User perspective
Amity International Business School, Amity University, Noida, India., Kumari Anshu, Loveleen Gaur, Amity International Business School, Amity University, Noida, India., Vernika Agarwal, Amity International Business School, Amity University, Noida, India.
International Journal of Innovative Technology and Exploring Engineering, 2019
E-satisfaction estimation: A comparative analysis using AHP and intuitionistic fuzzy TOPSIS
Kumari Anshu, Loveleen Gaur
Journal of Cases on Information Technology, 2019
Comparison between Multinomial and Bernoulli Naïve Bayes for Text Classification
Gurinder Singh, Bhawna Kumar, Loveleen Gaur, Akriti Tyagi
2019 International Conference on Automation Computational and Technology Management Icactm 2019, 2019
Internet of Things: Approach and Applicability in Manufacturing
Ravi Ramakrishnan, Loveleen Gaur
Internet of Things Approach and Applicability in Manufacturing, 2019
Innovation in Product Design: IoT Objects Driven New Product Innovation and Prototyping Using 3D Printers
Ravi Ramakrishnan, Loveleen Gaur
Securing the Internet of Things Concepts Methodologies Tools and Applications, 2019
Managing Customers Online Recovery - An Insight for E-Retailers Using Conjoint Analysis
Kumari Anshu, Loveleen Gaur
International Conference on Amp Amp Quot Computational Intelligence and Communication Technology Amp Amp Quot Cict 2018, 2018
Consumer preference analysis for websites using e-TailQ and AHP
Loveleen Gaur, Kumari Anshu
International Journal of Engineering and Technology Uae, 2018
Harnessing potentials of social media in transforming businesses
Loveleen Gaur, Kumari Anshu
International Journal of Engineering and Technology Uae, 2018
Factors influencing the digital business strategy
Pertanika Journal of Social Sciences and Humanities, 2017
Evaluating satisfaction level of grocery E-retailers using intuitionistic fuzzy TOPSIS and ECCSI model
Kumari Anshu, Loveleen Gaur, Deepak Khazanchi
2017 International Conference on Infocom Technologies and Unmanned Systems Trends and Future Directions Ictus 2017, 2017
Understanding consumer preferences using IoT smartmirrors
Pertanika Journal of Science and Technology, 2017
Internet of things – technology adoption model in India
Pertanika Journal of Science and Technology, 2017
Smart electricity distribution in residential areas: Internet of Things (IoT) based advanced metering infrastructure and cloud analytics
Ravi Ramakrishnan, Loveleen Gaur
2016 International Conference on Internet of Things and Applications Iota 2016, 2016
Evolution of payments bank and impact from M-PESA: A case of mobile banking services in India
Gourav Vyas, Loveleen Gaur, Gurinder Singh
ACM International Conference Proceeding Series, 2016
GOOGLE ANALYTICS: A Tool to make websites more Robust
Loveleen Gaur, Gurinder Singh, Jeyta, Shubhankar Kumar
ACM International Conference Proceeding Series, 2016
Innovation in Product Design: IoT Objects Driven New Product Innovation and Prototyping Using 3D Printers
Ravi Ramakrishnan, Loveleen Gaur
Additive Manufacturing Breakthroughs in Research and Practice, 2016
Application of internet of things (Iot) for smart process manufacturing in indian packaging industry
Ravi Ramakrishnan, Loveleen Gaur
Advances in Intelligent Systems and Computing, 2016
Feasibility and efficacy of BLE Beacon IoT devices in inventory management at the shop floor
Ravi Ramakrishnan, Loveleen Gaur, Gurinder Singh
International Journal of Electrical and Computer Engineering, 2016
Frugal innovation in India: The case of Tata Nano
International Journal of Applied Engineering Research, 2015

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