Surjeet Dalal

Scopus Publications

Generative AI for Multimedia Content Processing, Security and Privacy: Fundamentals, Advances and Applications
Surjeet Dalal, Umesh Kumar Lilhore, Shalini Bhaskar Bajaj, Momina Shaheen
Generative AI for Multimedia Content Processing Security and Privacy Fundamentals Advances and Applications, 2026
GenAD-SM: optimized transformer-VAE model for precision anomaly detection for smart manufacturing in industry 5.0
Surjeet Dalal, Umesh Kumar Lilhore, Sarita Simaiya, Deo Prakash, Sunita Yadav, Kuldeep Kumar, Ajay Kaushik
Journal of Intelligent Manufacturing, 2026
A Deep Learning Framework with Learning without Forgetting for Intelligent Surveillance in IoT-enabled Home Environments in Smart Cities
Surjeet Dalal, Neeraj Dahiya, Amit Verma, Neetu Faujdar, Sarita Rathee, Vivek Jaglan, Uma Rani, Dac-Nhuong Le
Recent Advances in Computer Science and Communications, 2026
Background: Internet of Things (IoT) technology in smart urban homes has revolutionised sophisticated monitoring. This progress uses interconnected devices and systems to improve security, resource management, and resident safety. Smart cities use technology to improve efficiency, sustainability, and quality. Internet of Things-enabled intelligent monitoring technologies are key to this goal. Objectives: Intelligent monitoring in IoT-enabled homes in smart cities improves security, convenience, and quality of life from advanced technologies. Using live monitoring and risk identification tools to quickly discover and resolve security breaches and suspicious activity to protect citizens. Intelligent devices allow homeowners to remotely control lighting, security locks, and surveillance cameras. Using advanced technologies to regulate heating, cooling, and lighting based on occupancy and usage. Method: This study introduces a deep learning architecture that uses LwF (Learning without Forgetting) to keep patterns while absorbing new data. The authors use IoT devices to collect and analyse data in real-time for monitoring and surveillance. They use sophisticated data preprocessing to handle IoT devices' massive data. The authors train the deep learning model with historical and real-time data and cross-validation to ensure resilience. Result: The proposed model has been validated on two different Robloflow datasets of 7382 images. The proposed model gains an accuracy level of 98.27%. The proposed Yolo-LwF model outperforms both the original Yolo and LwF models in terms of detection speed and adaptive learning. Conclusion: By raising the bar for intelligent monitoring solutions in smart cities, the suggested system is ideal for real-time, adaptive surveillance in IoT-enabled households. By embracing adaptability and knowledge retention, authors envision heightened security and safety levels in urban settings.
Correction to: Securing fog computing in healthcare with a zero-trust approach and blockchain (EURASIP Journal on Wireless Communications and Networking, (2025), 2025, 1, (5), 10.1186/s13638-025-02431-6)
Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith
Eurasip Journal on Wireless Communications and Networking, 2025
Securing fog computing in healthcare with a zero-trust approach and blockchain
Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Kashif Saleem, Ehab Seif Ghith
Eurasip Journal on Wireless Communications and Networking, 2025
As healthcare systems increasingly adopt fog computing to improve responsiveness and real-time data processing at the edge, significant security challenges emerge due to the decentralized architecture. The traditional perimeter-based security models are inadequate for addressing the dynamic and distributed nature of fog networks, leaving them vulnerable to unauthorized access, data tampering, and latency issues. Therefore, this paper proposes a novel security framework that integrates blockchain (BC) and software-defined network (SDN) technologies, underpinned by zero-trust (ZT) principles, to address these challenges in latency-sensitive healthcare environments. The proposed framework enhances security by combining BC’s immutable transaction logs for data integrity and traceability with SDN’s dynamic network reconfiguration for real-time access control and anomaly detection. The integration of BC and SDN supports continuous authentication and monitoring using cryptographic protocols (SHA-256A and RSA-2048) to secure data transmission. Additionally, tasks are dynamically allocated to fog nodes based on a multi-metric scheduling mechanism that considers fog node capacity, proximity, and compliance with predefined security protocols. The framework was evaluated using iFogSim, simulating a healthcare environment with 50 IoT devices, 10 fog nodes, and varying workloads (100–1000 tasks/min). The key evaluation performance metrics include intrusion detection rate (IDR), data integrity (DI), task completion rate (TCR), average task response time (ART), and average block time. The implementation results demonstrate satisfactory improvements compared to existing models: a 40% increase in IDR, a 30% enhancement in DI, a 15.29% rise in TCR, and a 39.66% reduction in ART. Moreover, the baseline IDR (85%) and DI (70%) were drawn from ZT-1, while TCR (85%) and ART (300 ms) were measured using ZT-2 as benchmarks. These findings illustrate the feasibility of integrating BC, SDN, and ZT principles to mitigate threats such as unauthorized access, data tampering, and delays in latency-sensitive tasks.
GAN-CSA: Enhanced Generative Adversarial Networks for Accurate Detection and Surgical Guidance in Skull Base Brain Metastases
Surjeet Dalal, Neeraj Dahiya, Shakti Kundu, Amit Verma, Gaytri Devi, Manel Ayadi, Mitiku Dubale, Arshad Hashmi
International Journal of Computational Intelligence Systems, 2025
Skull-base brain metastases pose significant diagnostic and surgical challenges due to their proximity to vital neurological structures. We propose an enhanced Generative Adversarial Network (GAN) model optimised with the Crow Search Algorithm (CSA) to improve detection accuracy and intraoperative decision-making. The GAN framework facilitates high-fidelity image generation and segmentation, while CSA fine-tunes hyperparameters for improved model stability and accuracy. Trained on high-resolution brain MRI datasets with expert annotations, our model achieved a precision of 97.43%, surpassing existing approaches in accuracy and robustness. The system accurately delineates tumour margins and adjacent anatomical structures in real-time, enhancing surgical guidance and reducing operative risks. The inclusion of CSA significantly improved GAN convergence and reduced false positives. This integrated GAN-CSA approach shows promise for revolutionizing neuro-oncology practices by enabling safer and more precise skull base surgeries. As an initial proof-of-concept, the evaluation was limited to 156 MR volumes from a single scanner, and future cross-centre studies will be pursued to establish robustness across varying field strengths, coils, and imaging protocols.
Optimized XGBoost Model with Whale Optimization Algorithm for Detecting Anomalies in Manufacturing
Surjeet Dalal, Uma Rani, Umesh Kumar Lilhore, Neeraj Dahiya, Reenu Batra, Nasratullah Nuristani, Dac-Nhuong Le
Journal of Computational and Cognitive Engineering, 2025
Anomalies and defects in the manufacturing process hinder operating efficiency and product quality. The Whale Optimization Algorithm (WOA) optimizes the XGBoost model for better anomaly identification by iteratively refining hyperparameters. Experiments using real-world manufacturing datasets prove proposed model works. Comparing the proposed model to traditional anomaly detection methods shows its superior performance in industry patent concept. The optimized XGBoost model's interpretability and anomaly detection features are also discussed. In this paper, WOA is applied in this work to optimize hyperparameters of XGBoost, a robust gradient boosting technique for accurate anomaly detection in manufacturing systems. Optimized XGBoost gained 1.00 precision value, 0.9 recall value, and 0.96 f1-score for class 0.0 and gained a 0.95 precision value, 1.00 recall value, and a 0.97 f1-score for class 1.0. The proposed model gained 0.993 Train Score and 0.964 Test Score. Our findings suggest that integrating XGBoost with the WOA may uncover manufacturing process irregularities. Optimization improves detection accuracy and provides a flexible and interpretable framework, helping modern industrial processes maintain quality and efficiency. This research encourages machine learning optimization for industrial patent applications, advancing anomaly detection methods. Received: 2 June 2024 | Revised: 29 August 2024 | Accepted: 27 September 2024 Conflicts of Interest The authors declare that they have no conflicts of interest to this work. Data Availability Statement Data are available on request from the corresponding author upon reasonable request. Author Contribution Statement Surjeet Dalal: Conceptualization, Validation, Writing – original draft, Project administration. Uma Rani: Conceptualization, Formal analysis, Writing – review & editing. Umesh Kumar Lilhore: Methodology, Investigation, Resources, Writing – original draft. Neeraj Dahiya: Methodology, Data curation, Writing - review & editing. Reenu Batra: Software, Visualization, Supervision. Nasratullah Nuristani: Software, Formal analysis, Investigation, Visualization. Dac-Nhuong Le: Validation, Supervision, Project administration.
Intelligent waste sorting for sustainable environment: A hybrid deep learning and transfer learning model
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Magdalena Radulescu, Daniel Balsalobre-Lorente
Gondwana Research, 2025
Enhanced heart disease diagnosis and management: A multi-phase framework leveraging deep learning and personalized nutrition
Ritika Ritika, Rajender Singh Chhillar, Sandeep Dalal, Surjeet Dalal, Iyyappan Moorthi, Mitiku Dubale, Arshad Hashmi
Plos One, 2025
In health care, an accurate diagnosis with the help of a data-driven forecasting framework takes the risk factors associated with heart disease. However, building such an effective model using deep learning (DL) methods requires high-quality data, i.e., data free of outliers or anomalies. The current paper proposes a new approach to diagnosing and controlling heart diseases by utilizing a multi-tiered data acquisition model, data pre-processing, feature extraction, and DL. The framework encompasses four types of datasets. The first phase of the proposed methodology consists of data acquisition, while the second phase includes advanced data preprocessing for each data type. In phase three, multi-feature extraction methods are used to extract the features from the dataset. In phase four, a combined feature selection technique of ReliefF and Pearson correlation is used to select the best features. Phase five of the study is the formulation of the CILAD-Net DL model that integrates CNN, Inception Net, LSTM, and Angle DetectNet to accurately detect heart disease. The sixth phase implements Deep Reinforcement Learning (DRL) for nutrition recommendations based on the detected disease, thus improving the treatment individualization. The developed model’s experimental outcomes are validated with other prevailing models in terms of accuracy, recall, hamming loss, and so on. Finally, the outcomes of the proposed model attain the higher accuracy of 0. 998 for the CILAD-Net model, which is significantly better than DenseNet-201 with 0. 988, ANN with 0. 987, KNN with 0. 977, and CL-Net with 0. 984.
SAD-GAN: A Novel Secure Anomaly Detection Framework for Enhancing the Resilience of Cyber-Physical Systems
Monica Bhutani, Surjeet Dalal, Musaed Alhussein, Umesh Kumar Lilhore, Khursheed Aurangzeb, Amir Hussain
Cognitive Computation, 2025
Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques
Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Akshat Agrawal, Uma Rani, Anand Mohan
Multimedia Tools and Applications, 2025
Optimized XGBoost Hyper-Parameter Tuned Model with Krill Herd Algorithm (KHA) for Accurate Drinking Water Quality Prediction
Nikhil Malik, Arpna Kalonia, Surjeet Dalal, Dac-Nhuong Le
SN Computer Science, 2025
Revolutionizing air quality forecasting: Fusion of state-of-the-art deep learning models for precise classification
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar
Urban Climate, 2025
An Attention-Driven Hybrid Deep Neural Network for Enhanced Heart Disease Classification
Umesh Kumar Lilhore, Sarita Simaiya, Musaed Alhussein, Surjeet Dalal, Khursheed Aurangzeb, Amir Hussain
Expert Systems, 2025
Hybrid Mathematical Optimization Techniques in AI
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal
Mathematical Methods in the Digital Age, 2025
Advancing healthcare through the opportunities and challenges of quantum computing
Amena Mahmoud, Surjeet Dalal, Umesh Kumar Lilhore
Quantum Computing, 2025
Quantum computing in drug and chemical
Bijeta Seth, Surjeet Dalal, Umesh Kumar Lilhore
Quantum Computing, 2025
Integrating Zero-Shot Learning with Convolutional neural network in predicting dissolved oxygen and Salinity in river water
Arpna Kalonia, Nikhil Malik, Surjeet Dalal
International Journal of Computing and Digital Systems, 2025
Smart grid stability prediction model using two-way attention based hybrid deep learning and MPSO
Umesh Kumar Lilhore, Surjeet Dalal, Magdalena Radulescu, Marinela Barbulescu
Energy Exploration and Exploitation, 2025
Highlighting major issues with quantum computing in healthcare
Neeraj Dahiya, Amit Malik, Surjeet Dalal, Vivek Jaglan, Momina Shaheen
Quantum Computing, 2025
A Post-Quantum Hybrid Encryption Framework for Securing Biometric Data in Consumer Electronics
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Asma Alshuhail, Ahlam Almusharraf
IEEE Transactions on Consumer Electronics, 2025
A Hybrid Model for Short-Term Energy Load Prediction Based on Transfer Learning with LightGBM for Smart Grids in Smart Energy Systems
Surjeet Dalal, Umesh Kumar Lilhore, Bijeta Seth, Magdalena Radulescu, Sofiane Hamrioui
Journal of Urban Technology, 2025
The impact of AI and automation on income inequality in BRICS countries and the role of structural factors and women's empowerment
Muhammad Suhrab, Chen Pinglu, Radulescu Magdalena, Jahangeer Ahmed Soomro, Surjeet Dalal
Quantum Computing, 2025
Navigating urban congestion: Optimizing LSTM with RNN in traffic prediction
Surjeet Dalal, Vivek Jaglan, Akshat Agrawal, Ajay Kumar, Shashikant J. Joshi, Mamta Dahiya
Aip Conference Proceedings, 2024
Traffic forecasting using LSTM and SARIMA models: A comparative analysis
Surjeet Dalal, Momina Shaheen, Umesh Kumar Lilhore, Ajay Kumar, Seema Sharma, Mamta Dahiya
Aip Conference Proceedings, 2024
EXPLORING CHATGPT'S EFFICACY IN IDENTIFYING POTENTIAL BUSINESS PARTNERS: A COMPARATIVE STUDY
Anatolijs Prohorovs, Surjeet Dalal, Magdalena Radulescu
Economics and Culture, 2024
Improving efficiency and sustainability via supply chain optimization through CNNs and BiLSTM
Surjeet Dalal, Umesh Kumar Lilhore, Sarita Simaiya, Magdalena Radulescu, Lucian Belascu
Technological Forecasting and Social Change, 2024
Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis
Umesh Kumar Lilhore, Sarita Simiaya, Musaed Alhussein, Neetu Faujdar, Surjeet Dalal, Khursheed Aurangzeb
BMC Medical Informatics and Decision Making, 2024
Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Sultan Algarni
Journal of Cloud Computing, 2024
Prevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model
Umesh Kumar Lilhore, Surjeet Dalal, Neeraj Varshney, Yogesh Kumar Sharma, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Roobaea Alroobaea, Sarita Simaiya, Martin Margala, Prasun Chakrabarti
Scientific Reports, 2024
Correction to: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease (Scientific Reports, (2023), 13, 1, (14605), 10.1038/s41598-023-41314-y)
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan
Scientific Reports, 2024
Enhancing cloud network security with a trust-based service mechanism using k-anonymity and statistical machine learning approach
Himani Saini, Gopal Singh, Sandeep Dalal, Umesh Kumar Lilhore, Sarita Simaiya, et al.
Peer to Peer Networking and Applications, 2024
Optimizing cloud service provider selection with firefly-guided fuzzy decision support system for smart cities
Surjeet Dalal, Ajay Kumar, Umesh Kumar Lilhore, Neeraj Dahiya, Vivek Jaglan, Uma Rani
Measurement Sensors, 2024
A systematic literature review for load balancing and task scheduling techniques in cloud computing
Nisha Devi, Sandeep Dalal, Kamna Solanki, Surjeet Dalal, Umesh Kumar Lilhore, Sarita Simaiya, Nasratullah Nuristani
Artificial Intelligence Review, 2024
Optimising air quality prediction in smart cities with hybrid particle swarm optimization-long-short term memory-recurrent neural network model
Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Samiya, Vivek Jaglan, Roobaea Alroobaea, Momina Shaheen, Faizan Ahmad
Iet Smart Cities, 2024
A dynamic and optimized routing approach for VANET communication in smart cities to secure intelligent transportation system via a chaotic multi-verse optimization algorithm
Sumit, Rajender Singh Chhillar, Sandeep Dalal, Surjeet Dalal, Umesh Kumar Lilhore, Sarita Samiya
Cluster Computing, 2024
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Sarita Simaiya, Mamta Dahiya, Shilpi Tomar, Arshad Hashmi
Multimedia Tools and Applications, 2024
ProtienCNN-BLSTM: An efficient deep neural network with amino acid embedding-based model of protein sequence classification and biological analysis
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Neetu Faujdar, Yogesh Kumar Sharma, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Shilpi Tomar, Ehab Ghith, Mehdi Tlija
Computational Intelligence, 2024
An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing
Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Yogesh Kumar Sharma
Earth Science Informatics, 2024
FdAI: Demand Forecast Model for Medical Tourism in India
Rekha Nagar, Yudhvir Singh, Meenakshi Malik, Surjeet Dalal
SN Computer Science, 2024
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Robertas Damaševičius
Multimedia Tools and Applications, 2024
Optimizing mineral identification for sustainable resource extraction through hybrid deep learning enabled FinTech model
Magdalena Radulescu, Surjeet Dalal, Umesh Kumar Lilhore, Sarita Saimiya
Resources Policy, 2024
Convergence of Artificial Intelligence and Internet of Things for Software-Defined Radios
Shilpa Mehta, Xue Jun Li, Surjeet Dalal
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
Umesh Kumar Lilhore, Surjeet Dalal, Sarita Simaiya
Computers and Security, 2024
Bug Predicting Survey Using Advanced Machine Learning Algorithms
Chandra Bhan Singh, Namit Gupta, Surjeet Dalal
Proceedings International Conference on Computing Power and Communication Technologies Ic2pct 2024, 2024
Interpretable Features of YOLO v8 for Weapon Detection - Performance Driven Approach
Sameer Arora, Surjeet Dalal, Ms. Nishu Sethi
Proceedings 2024 International Conference on Emerging Innovations and Advanced Computing Innocomp 2024, 2024
MAPPING OF E-WALLETS WITH FEATURES
Alisha Sikri, Surjeet Dalal, N.P Singh, Dac‐Nhuong Le
Cyber Security in Parallel and Distributed Computing Concepts Techniques Applications and Case Studies, 2024
Preface
Surjeet Dalal, Neeraj Dahiya, Vivek Jaglan, Deepika Koundal, Dac-Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Foreword
Surjeet Dalal, Neeraj Dahiya, Vivek Jaglan, Deepika Koundal, Dac-Nhuong Le
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
Reshaping Intelligent Business and Industry: Convergence of AI and IoT at the Cutting Edge
Dalal, Surjeet, Dahiya, Neeraj, Jaglan, Vivek, Koundal, Deepika, Le Dac-Nhuong 1983-
Reshaping Intelligent Business and Industry Convergence of AI and Iot at the Cutting Edge, 2024
A novel deep learning model for predicting marine pollution for sustainable ocean management
Michael Onyema Edeh, Surjeet Dalal, Musaed Alhussein, Khursheed Aurangzeb, Bijeta Seth, Kuldeep Kumar
Peerj Computer Science, 2024
A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city
Surjeet Dalal, Umesh Kumar Lilhore, Magdalena Radulescu, Sarita Simaiya, Vivek Jaglan, Ashish Sharma
Environmental Science and Pollution Research, 2024
COVID-19 Detection using Hybrid CNN-RNN Architecture with Transfer Learning from X-Rays
Deepti Deshwal, Pardeep Sangwan, Naveen Dahiya, Umesh Kumar Lilhore, Surjeet Dalal, Sarita Simaiya
Current Medical Imaging, 2024
Enhanced cardiovascular disease prediction through self-improved Aquila optimized feature selection in quantum neural network & LSTM model
Aman Darolia, Rajender Singh Chhillar, Musaed Alhussein, Surjeet Dalal, Khursheed Aurangzeb, Umesh Kumar Lilhore
Frontiers in Medicine, 2024
Secure WSN Architecture Utilizing Hybrid Encryption with DKM to Ensure Consistent IoV Communication
Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, Yogesh Kumar Sharma, Shilpi Tomar, Arshad Hashmi
Wireless Personal Communications, 2024
Management and prediction of navigation of industrial robots based on neural network
Edeh Michael Onyema, Surjeet Dalal, Celestine Iwendi, Bijeta Seth, Nwogbe Odinakachi, Anyalor Maureen Chichi
International Journal of Services Economics and Management, 2024
Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency
Surjeet Dalal, Umesh Kumar Lilhore, Nidhi Sharma, Shakti Arora, Sarita Simaiya, Manel Ayadi, Nouf Abdullah Almujally, Amel Ksibi
Peerj Computer Science, 2024
Preface
2024 4th International Symposium on Artificial Intelligence and Intelligent Manufacturing Aiim 2024, 2024
Correction to: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree (Journal of Cloud Computing, (2023), 12, 1, (137), 10.1186/s13677-023-00517-4)
Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally, Amel Ksibi
Journal of Cloud Computing, 2023
Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Surjeet Dalal, Umesh Kumar Lilhore, Neetu Faujdar, Sarita Simaiya, Manel Ayadi, Nouf A. Almujally, Amel Ksibi
Journal of Cloud Computing, 2023
Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
Surjeet Dalal, Poongodi Manoharan, Umesh Kumar Lilhore, Bijeta Seth, Deema Mohammed alsekait, Sarita Simaiya, Mounir Hamdi, Kaamran Raahemifar
Journal of Cloud Computing, 2023
Correction: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment (Journal of Cloud Computing, (2023), 12, 1, (14), 10.1186/s13677-022-00356-9)
Surjeet Dalal, Poongodi Manoharan, Lilhore Umesh Kumar, Bijeta Seth, Deema Mohammed alsekait, Sarita Simaiya, Mounir Hamdi, Kaamran Raahemifar
Journal of Cloud Computing, 2023
Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
Umesh Kumar Lilhore, Surjeet Dalal, Neetu Faujdar, Martin Margala, Prasun Chakrabarti, Tulika Chakrabarti, Sarita Simaiya, Pawan Kumar, Pugazhenthan Thangaraju, Hemasri Velmurugan
Scientific Reports, 2023
Hybrid model for precise hepatitis-C classification using improved random forest and SVM method
Umesh Kumar Lilhore, Poongodi Manoharan, Jasminder Kaur Sandhu, Sarita Simaiya, Surjeet Dalal, Abdullah M. Baqasah, Majed Alsafyani, Roobaea Alroobaea, Ismail Keshta, Kaamran Raahemifar
Scientific Reports, 2023
Driving technologies of industry 5.0 in the medical field
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu
Digitalization Sustainable Development and Industry 5 0 an Organizational Model for Twin Transitions, 2023
A breast cancer risk predication and classification model with ensemble learning and big data fusion
Varshali Jaiswal, Praneet Saurabh, Umesh Kumar Lilhore, Mayank Pathak, Sarita Simaiya, Surjeet Dalal
Decision Analytics Journal, 2023
Forecasting students' adaptability in online entrepreneurship education using modified ensemble machine learning model
Amit Malik, Edeh Michael Onyema, Surjeet Dalal, Umesh Kumar Lilhore, Darpan Anand, Ashish Sharma, Sarita Simaiya
Array, 2023
HIDM: Hybrid Intrusion Detection Model for Industry 4.0 Networks Using an Optimized CNN-LSTM with Transfer Learning
Umesh Kumar Lilhore, Poongodi Manoharan, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah, Surjeet Dalal, Ashish Sharma, Kaamran Raahemifar
Sensors, 2023
An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
Surjeet Dalal, Umesh Kumar Lilhore, Poongodi Manoharan, Uma Rani, Fadl Dahan, Fahima Hajjej, Ismail Keshta, Ashish Sharma, Sarita Simaiya, Kaamran Raahemifar
Sensors, 2023
A hybrid machine learning model for timely prediction of breast cancer
Surjeet Dalal, Edeh Michael Onyema, Pawan Kumar, Didiugwu Chizoba Maryann, Akindutire Opeyemi Roselyn, Mercy Ifeyinwa Obichili
International Journal of Modeling Simulation and Scientific Computing, 2023
Optimized LightGBM model for security and privacy issues in cyber-physical systems
Surjeet Dalal, M. Poongodi, Umesh Kumar Lilhore, Fadl Dahan, Thavavel Vaiyapuri, Ismail Keshta, Sultan Mesfer Aldossary, Amena Mahmoud, Sarita Simaiya
Transactions on Emerging Telecommunications Technologies, 2023
Optimized Deep Learning with Learning without Forgetting (LwF) for Weather Classification for Sustainable Transportation and Traffic Safety
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu, Teodor Florin Cilan, Luminita Serbanescu
Sustainability Switzerland, 2023
Evaluation of IoT-Enabled hybrid model for genome sequence analysis of patients in healthcare 4.0
Edeh Michael Onyema, Umesh Kumar Lilhore, Praneet Saurabh, Surjeet Dalal, Arinze Steve Nwaeze, Asogwa Tochukwu Chijindu, Lauritta Chinazaekpere Ndufeiya-Kumasi, Sarita Simaiya
Measurement Sensors, 2023
Chi-Square Method of Feature Selection: Impact of Pre-Processing of Data
International Journal of Intelligent Systems and Applications in Engineering, 2023
Analysis of Rank Aggregation Techniques for Rank Based on the Feature Selection Technique
Alisha Sikri, N. P. Singh, Surjeet Dalal
International Journal on Recent and Innovation Trends in Computing and Communication, 2023
The Smart Analysis of Poisson Distribution Pattern Based Industrial Automation in Industry 4.0
Shashikala H. K, Surjeet Dalal
2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2023, 2023
Machine learning model for Water Quality evaluation: Systematic Review
Nikhil, Arpna, Surjeet Dalal
2023 2nd International Conference on Smart Technologies for Smart Nation Smarttechcon 2023, 2023
Disease Detection in Crop's using Transfer Learning: An analysis on Detection through Computer
Ashish Bishnoi, Shambhu Bharadwaj, Surjeet Dalal
2023 International Conference on Communication Security and Artificial Intelligence Iccsai 2023, 2023
A precise coronary artery disease prediction using Boosted C5.0 decision tree model
Surjeet Dalal, Umesh Kumar Lilhore, Sarita Simaiya, Vivek Jaglan, Anand Mohan, Sachin Ahuja, Akshat Agrawal, Martin Margala, Prasun Chakrabarti
Journal of Autonomous Intelligence, 2023
A Blockchain-based secure Internet of Medical Things framework for smart healthcare
Journal of Autonomous Intelligence, 2023
Hybrid XGBoost model with hyperparameter tuning for prediction of liver disease with better accuracy
Surjeet Dalal, Edeh Michael Onyema, Amit Malik
World Journal of Gastroenterology, 2022
House price prediction using hedonic pricing model and machine learning techniques
John Zaki, Anand Nayyar, Surjeet Dalal, Zainab H. Ali
Concurrency and Computation Practice and Experience, 2022
Predicting Fraud in Financial Payment Services through Optimized Hyper-Parameter-Tuned XGBoost Model
Surjeet Dalal, Bijeta Seth, Magdalena Radulescu, Carmen Secara, Claudia Tolea
Mathematics, 2022
Design of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities
Edeh Michael Onyema, Surjeet Dalal, Carlos Andrés Tavera Romero, Bijeta Seth, Praise Young, Mohd Anas Wajid
Journal of Cloud Computing, 2022
Bootstrapping random forest and CHAID for prediction of white spot disease among shrimp farmers
Michael Onyema Edeh, Surjeet Dalal, Ibidun Christiana Obagbuwa, B. V. V. Siva Prasad, Shalini Zanzote Ninoria, Mohd Anas Wajid, Ademola Olusola Adesina
Scientific Reports, 2022
Energy Efficient Routing Protocol in Novel Schemes for Performance Evaluation
S. Pradeep, Yogesh Kumar Sharma, Chaman Verma, Surjeet Dalal, Cvpr Prasad
Applied System Innovation, 2022
An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks
Surjeet Dalal, Bijeta Seth, Vivek Jaglan, Meenakshi Malik, Surbhi, Neeraj Dahiya, Uma Rani, Dac-Nhuong Le, Yu-Chen Hu
Soft Computing, 2022
Artificial Intelligence-Based Ensemble Learning Model for Prediction of Hepatitis C Disease
Michael Onyema Edeh, Surjeet Dalal, Imed Ben Dhaou, Charles Chuka Agubosim, Chukwudum Collins Umoke, Nneka Ernestina Richard-Nnabu, Neeraj Dahiya
Frontiers in Public Health, 2022
Integrating encryption techniques for secure data storage in the cloud
Bijeta Seth, Surjeet Dalal, Vivek Jaglan, Dac‐Nhuong Le, Senthilkumar Mohan, Gautam Srivastava
Transactions on Emerging Telecommunications Technologies, 2022
Bi-Directional Long Short-Term Memory Neural Networks for Music Composition
Sahana Shetty, Surjeet Dalal
4th International Conference on Emerging Research in Electronics Computer Science and Technology Icerect 2022, 2022
RETRACTION:An efficient driver behavioral pattern analysis based on fuzzy logical feature selection and classification in big data analysis
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Ujjawal Maan, Dac-Nhuong Le
Journal of Intelligent and Fuzzy Systems, 2022
Deriving driver behavioral pattern analysis and performance using neural network approaches
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le
Intelligent Automation and Soft Computing, 2022
An integrated approach on verification of signatures using multiple classifiers (SVM and Decision Tree): A multi-classification approach
Department of CSE, SRM University, Delhi-NCR, Sonipat, Haryana, India, Jindal et al.
International Journal of Advanced and Applied Sciences, 2022
Machine learning-based forecasting of potability of drinking water through adaptive boosting model
Surjeet Dalal, Edeh Michael Onyema, Carlos Andrés Tavera Romero, Lauritta Chinazaekpere Ndufeiya-Kumasi, Didiugwu Chizoba Maryann, Ajima Judith Nnedimkpa, Tarandeep Kaur Bhatia
Open Chemistry, 2022
Prediction of occupation stress by implementing convolutional neural network techniques
Surjeet Dalal, Osamah Ibrahim Khalaf
Journal of Cases on Information Technology, 2021
Driving pattern profiling and classification using deep learning
Meenakshi Malik, Rainu Nandal, Surjeet Dalal, Vivek Jalglan, Dac-Nhuong Le
Intelligent Automation and Soft Computing, 2021
Enhancement of Patient Facial Recognition through Deep Learning Algorithm: ConvNet
Edeh Michael Onyema, Piyush Kumar Shukla, Surjeet Dalal, Mayuri Neeraj Mathur, Mohammed Zakariah, Basant Tiwari
Journal of Healthcare Engineering, 2021
Secure cloud data storage system using hybrid paillier⇓blowfish algorithm
Bijeta Seth, Surjeet Dalal, Dac-Nhuong Le, Vivek Jaglan, Neeraj Dahiya, Akshat Agrawal, Mayank Mohan Sharma, Deo Prakash, K. D. Verma
Computers Materials and Continua, 2021
Artificial intelligence technique for detecting bone irregularity using fastai
Proceedings of the International Conference on Industrial Engineering and Operations Management, 2020
Software Process Improvement Assessment for Cloud Application Based on Fuzzy Analytical Hierarchy Process Method
Surjeet Dalal, Akshat Agrawal, Neeraj Dahiya, Jatin Verma
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2020
Ddos attacks simulation in cloud computing environment
Research Scholar, SRM University, Sonepat, (Haryana) India., Shakti Arora*, Dr. Surjeet Dalal, Professor, Teerthanker Mahaveer University, Moradabad (U.P), India.
International Journal of Innovative Technology and Exploring Engineering, 2019
Integrity verification mechanisms adopted in cloud environment
Research Scholar, Department of Computer Science, SRM University, Sonepat, Haryana 131029, India., Shakti Arora, Dr. Surjeet Dalal, Associate Professor, Department of Computer Science, SRM University, Sonepat, Haryana 131029, India.
International Journal of Engineering and Advanced Technology, 2019
Early detection of glaucoma disease in retinal fundus images using spatial FCM with level set segmentation
Research Scholar, School of Information Technology, Engineering, VIT, Vellore, Tamilnadu, India, B. Sudha, Dr. Surjeet Dalal, Associate Professor, Dept. of Computer Science, Engineering, SRM University, Haryana, India, Dr. Kathiravan Srinivasan, Associate Professor, School of Information Technology, Engineering, VIT, Vellore, Tamilnadu, India.
International Journal of Engineering and Advanced Technology, 2019
A Hybrid Approach to Authentication of Signature Using DTSVM
Upasna Jindal, Surjeet Dalal
Advances in Intelligent Systems and Computing, 2019
Trust evaluation factors in cloud computing with open stack
Shakti Arora, Surjeet Dalal
Journal of Computational and Theoretical Nanoscience, 2019
An optimized cloud architecture for integrity verification
Shakti Arora, Surjeet Dalal
Journal of Computational and Theoretical Nanoscience, 2019
Securing bioinformatics cloud for big data: Budding buzzword or a glance of the future
Bijeta Seth, Surjeet Dalal, Raman Kumar
Studies in Computational Intelligence, 2019
A variant of secret sharing protected with Poly-1305
Shakti Arora, Surjeet Dalal, Raman Kumar
Studies in Computational Intelligence, 2019
Hybrid homomorphic encryption scheme for secure cloud data storage
Bijeta Seth, Surjeet Dalal, Raman Kumar
Studies in Computational Intelligence, 2019
A hybrid approach of secret sharing with fragmentation and encryption in cloud environment for securing outsourced medical database: A revolutionary approach
Dac-Nhuong Le, Bijeta Seth, Surjeet Dalal, , , and
Journal of Cyber Security and Mobility, 2018
Performance Analysis of Cloud Resource Provisioning Algorithms
Shilpa Kukreja, Surjeet Dalal
Advances in Intelligent Systems and Computing, 2018
Analytical Assessment of Security Mechanisms of Cloud Environment
Bijeta Seth, Surjeet Dalal
Advances in Intelligent Systems and Computing, 2018
Efficient Tuning of COCOMO Model Cost Drivers Through Generalized Reduced Gradient (GRG) Nonlinear Optimization with Best-Fit Analysis
Surjeet Dalal, Neeraj Dahiya, Vivek Jaglan
Advances in Intelligent Systems and Computing, 2018
Optimizing performance of fuzzy decision support system with multiple parameter dependency for cloud provider evaluation
International Journal of Engineering and Technology Uae, 2018
Integrated approach for performance scrutiny of cloud resource provisioning algorithms
S Dalal, S Kukreja, Vishakha
Communication and Computing Systems Proceedings of the International Conference on Communication and Computing Systems Icccs 2016, 2017
Performance of integrated signature verification approach: Review
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Refining of image using self-organizing map with clustering
Neeraj Dahiya, Surjeet Dalal, Gundeep Tanwar
Aip Conference Proceedings, 2016
Designing hybrid security architecture in multi cloud system
International Journal of Control Theory and Applications, 2016
Analyzing spoofing attacks in wireless networks
Keshav Jindal, Surjeet Dalal, Kamal Kumar Sharma
International Conference on Advanced Computing and Communication Technologies Acct, 2014

Surjeet Dalal

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS