Lightweight 3DCNN-BiLSTM Model for Human Activity Recognition using Fusion of RGBD Video Sequences , Vijay Singh Rana, Ankush Joshi, Kamal Kant Verma International Journal of Information Technology and Computer Science, 2025 Over the past two decades, the automatic recognition of human activities has been a prominent research field. This task becomes more challenging when dealing with multiple modalities, different activities, and various scenarios. Therefore, this paper addresses activity recognition task by fusion of two modalities such as RGB and depth maps. To achieve this, two distinct lightweight 3D Convolutional Neural Network (3DCNN) are employed to extract space time features from both RGB and depth sequences separately. Subsequently, a Bidirectional LSTM (Bi-LSTM) network is trained using the extracted spatial temporal features, generating activity score corresponding to each sequence in both RGB and depth maps. Then, a decision level fusion is applied to combine the score obtained in the previous step. The novelty of our proposed work is to introduce a lightweight 3DCNN feature extractor, designed to capture both spatial and temporal features form the RGBD video sequences. This improves overall efficiency while simultaneously reducing the computational complexity. Finally, the activities are recognized based the fusion scores. To assess the overall efficiency of our proposed lightweight-3DCNN and BiLSTM method, it is validated on the 3D benchmark dataset UTKinectAction3D, achieving an accuracy of 96.72%. The experimental findings confirm the effectiveness of the proposed representation over existing methods.
The Evolution of Public Administration in the AI Era Ankush Joshi Transforming Public Administration Through AI Driven Predictive Analytics, 2025 This chapter explores the transformative impact of Artificial Intelligence (AI) and predictive analytics on public administration. It traces the evolution from traditional bureaucratic governance to AI-powered systems that enhance efficiency, transparency, and responsiveness. The chapter examines how AI automates administrative tasks, supports data-driven decision-making, and enables proactive policy formulation. It presents global case studies across sectors such as smart cities, healthcare, and law enforcement. Ethical concerns, including bias, transparency, and data privacy, are critically analyzed. The chapter concludes with future directions, emphasizing ethical frameworks, human-AI collaboration, and inclusive digital governance for the 21st century.
Harnessing artificial intelligence for sustainable food production Ankush Joshi AI Innovations for Transforming Food Production, 2025 Artificial Intelligence (AI) is transforming sustainable agriculture by improving efficiency, productivity, and environmental stewardship. This chapter explores AI's role in addressing challenges like resource inefficiencies, environmental degradation, and labor shortages. AI-driven systems optimize resource management, such as precision irrigation and targeted pesticide use, reducing water and chemical waste while enhancing crop health. Robotics and automation, including self-driving tractors and AI-powered robots, streamline planting, harvesting, and weeding, boosting efficiency. Real-world case studies highlight AI's impact on yields and productivity. Challenges include data quality, infrastructure gaps, ethical concerns, and socio-economic impacts like job displacement. Emerging trends such as climate-adaptive farming, AI-driven soil management, and blockchain integration promise further advancements. Collaboration among stakeholders is essential to achieve an efficient, equitable, and sustainable agricultural future.
Personalized learning experiences: AI applications in the metaverse for education Ankush Joshi, Vikash Kumar, Gesu Thakur, Naman Chauhan Navigating AI and the Metaverse in Scientific Research, 2025 This chapter explores the transformative potential of artificial intelligence (AI) in the metaverse for personalized learning. It examines how AI technologies, including machine learning, natural language processing, and adaptive algorithms, create immersive, learner-centered environments tailored to individual needs, preferences, and goals. The discussion highlights case studies, ethical considerations, and real-world challenges, such as data privacy, accessibility, and algorithmic bias. Future directions are outlined, focusing on scalability, hyper-personalization, and the convergence of emerging technologies like blockchain and brain-computer interfaces. By addressing these factors, the chapter envisions a metaverse that fosters equitable, inclusive, and innovative educational experiences, shaping the future of learning.
AI and Blockchain for Enhanced Cybersecurity in Industrial Robotics Ankush Joshi Advancing Cybersecurity in Smart Factories Through Autonomous Robotic Defenses, 2025 Industrial robotics are pivotal in modern manufacturing, enhancing efficiency and precision in the Industry 4.0 era. However, their interconnected nature makes them vulnerable to cyber threats such as malware attacks, unauthorized access, and data breaches, resulting in operational disruptions and financial losses. Traditional security measures often fall short in addressing these risks. Integrating artificial intelligence and blockchain offers a robust solution. AI enables real-time anomaly detection and proactive threat response, while blockchain ensures data integrity through its decentralized, immutable ledger. Together, they provide a multi-layered defense, securing robotic systems and fostering transparency. Despite challenges like scalability and implementation costs, advancements in lightweight AI algorithms and blockchain protocols are addressing these limitations. This chapter explores the synergies between AI and blockchain, highlighting their transformative potential for securing industrial robotics and guiding stakeholders in adopting resilient cybersecurity frameworks.
The Role of AI and Machine Learning in E-Government Startups Ankush Joshi, Vikash Kumar Startup Driven E Government Digital Innovation for Sustainable Ecosystems, 2025 This chapter examines the transformative role of artificial intelligence and machine learning in e-government startups, focusing on their potential to enhance governance, operational efficiency, and citizen engagement. Key applications, such as automating citizen services, data-driven decision-making, fraud detection, and personalized interactions, are explored alongside global and Indian case studies that highlight their impact on transparency and public service delivery. Ethical challenges, including data privacy, algorithmic bias, and transparency, are addressed, emphasizing the need for robust regulatory frameworks and ethical AI practices. The chapter also investigates emerging trends like AI-blockchain integration and predictive analytics, offering insights into the future of AI-driven e-governance. By discussing challenges, opportunities, and policy recommendations, this chapter provides a roadmap for governments and startups to harness AI and ML responsibly, ensuring these technologies create smarter, inclusive, and citizen-centric governance systems while mitigating risks.
A primer for governance Ankush Joshi, Vikash Kumar, Gesu Thakur, Naman Chauhan, Ritik Kumar Singh Leveraging Futuristic Machine Learning and Next Generational Security for E Governance, 2024
Preface Ethical Frontier of AI and Data Analysis, 2024
The ethical frontier of AI and data analysis Kumar, Rajeev, Joshi, Ankush, Sharan, Hari Om, Peng, Sheng-Lung 1965-, Dudhagara, Chetan R. Ethical Frontier of AI and Data Analysis, 2024
AI-Based Autonomous System For Smart Vehicle Transportation For Traffic Optimization, And Accident Prevention A Sharma, A Joshi, PC Verma, TA Usmani, MK Sharma INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 706-729 , 2026 2026
Harnessing AI for Energy Efficiency in 6G Networks: Challenges, Solutions, and Future Directions N Chauhan, G Thakur, A Joshi, V Kumar, Y Singh Artificial Intelligence (AI) for IT Energy Efficiency and Green AI for … , 2026 2026
Neural Pathways of SIoT: Enabling Smarter Choices A Joshi Social Internet of Things (SIoT) and Machine Learning—Enhancing … , 2026 2026
Machine Learning Algorithms for Disease Prediction and Diagnosis A Joshi, V Kumar, N Chauhan, G Thakur Patient-Centric 6G, 134-152 , 2026 2026
Future Proofing Healthcare: A Roadmap with 6G V Kumar, A Joshi, N Chauhan, BK Ray Patient-Centric 6G, 54-65 , 2026 2026
Revolutionizing Healthcare Communication: The Transformative Potential of 6G Technologies N Chauhan, G Thakur, A Joshi, V Kumar, A Kumar, Y Singh Patient-Centric 6G, 80-104 , 2026 2026
The Evolution of Public Administration in the AI Era A Joshi Transforming Public Administration Through AI-Driven Predictive Analytics … , 2026 2026 Citations: 1
Harnessing Artificial Intelligence for Sustainable Food Production A Joshi AI Innovations for Transforming Food Production, 25-56 , 2026 2026
Patient-Centric 6G: A New Era in Smart Healthcare R Kumar, A Joshi, P Bajaj, D Parygin CRC Press , 2025 2025
Augmented Reality and Virtual Reality in Urology: Innovations in Detection and Diagnosis N Chauhan, G Thakur, A Joshi, V Kumar, Y Singh Augmented and Virtual Reality in Immersive Healthcare, 85-115 , 2025 2025
A Unified Deep Learning Approach for Human Activity Recognition with RGB-D Data VS Rana, A Joshi, KK Verma 2025 International Conference on Innovations and Emerging Technologies In AI … , 2025 2025
Transparent AI in Medical Imaging: Bridging Insights and Clinical Expertise A Joshi, D Joshi, C Kandpal, A Kumar, V Kumar, N Chauhan 2025 7th International Conference on Information Systems and Computer … , 2025 2025
Enhancing Cloud Security in Critical Infrastructure with Deep Learning A Joshi, D Joshi, C Kandpal, A Kumar, N Chauhan, V Kumar 2025 7th International Conference on Information Systems and Computer … , 2025 2025
Understanding Quantum Computing: From Qubits to Quantum Algorithms V Kumar, A Joshi, G Thakur, N Chauhan, RK Singh Quantum Machine Learning in Industrial Automation, 117-133 , 2025 2025 Citations: 1
Sensor-Based Digital Signal System for Tunnel Crossings S Kashyap, M Kaif, V Kumar, A Joshi Authorea Preprints , 2025 2025
Enhanced Cybersecurity A Joshi Advancing Cybersecurity in Smart Factories Through Autonomous Robotic … , 2025 2025
Understanding Virtual Reality (VR) and Its Applications in Healthcare BP Singh, A Joshi, RK Singh Augmented Wellness: Exploring the Power of VR and AR in Healthcare, 25-45 , 2025 2025
The transformative impact of AI technologies on decision-making processes and operational efficiency across sectors, with a focus on finance N Chauhan, G Thakur, A Joshi, V Kumar, A Kumar, Y Singh Generative AI in FinTech: Revolutionizing Finance Through Intelligent … , 2025 2025 Citations: 2
Harnessing Big Data Visualization in Bioinformatics: From Data to Discovery A Joshi, G Thakur, V Kumar, Y Singh, D Joshi Cyber-Physical Systems Security: A Multi-disciplinary Approach, 259-290 , 2025 2025 Citations: 3
The Role of AI and Machine Learning in E-Government Startups A Joshi, V Kumar Startup-Driven E-Government: Digital Innovation for Sustainable Ecosystems, 1-26 , 2025 2025 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Ethical considerations in AI development BP Singh, A Joshi The ethical frontier of AI and data analysis, 156-179 , 2024 2024 Citations: 47
An overview of python libraries for data science A Joshi, H Tiwari Journal of Engineering Technology and Applied Physics 5 (2), 85-90 , 2023 2023 Citations: 43
The ethical frontier of AI and data analysis R Kumar, A Joshi, HO Sharan, SL Peng, CR Dudhagara IGI Global , 2024 2024 Citations: 38
Security for E-governance A Joshi, H Tiwari Journal of Information and Operations Management 3 (1), 254 , 2012 2012 Citations: 19
Comparison of various round robin scheduling algorithms A Joshi, SB Goyal 2019 8th International Conference System Modeling and Advancement in … , 2019 2019 Citations: 14
Modified Round Robin Algorithm by Using Priority Scheduling SG Ankush Joshi Advances in Computational Sciences and Technology 10 (6), 1543-1549 , 2017 2017 Citations: 12
A primer for governance A Joshi, V Kumar, G Thakur, N Chauhan, RK Singh Leveraging futuristic machine learning and next-generational security for e … , 2025 2025 Citations: 8
The impact of cloud computing on data science and engineering: Opportunities and challenges A Joshi, V Kumar, G Thakur, HV Pant, BP Singh 2024 International Conference on Electrical Electronics and Computing … , 2024 2024 Citations: 8
AI and blockchain for enhanced cybersecurity in industrial robotics A Joshi Advancing Cybersecurity in Smart Factories Through Autonomous Robotic … , 2025 2025 Citations: 6
Ethical decision-making in artificial intelligence: frameworks, challenges, and future directions N Chauhan, G Thakur, A Joshi, V Kumar, Y Singh Responsible AI for digital health and medical analytics, 267-292 , 2025 2025 Citations: 6
The intersection of AI, ML, and industry: A review of emerging trends in real-world applications A Joshi, V Kumar, N Chauhan, A Kumar, RK Singh 2024 4th International Conference on Advancement in Electronics … , 2024 2024 Citations: 5
Describing the Research Initiative: Unmanned Aircraft Education in Technology V Kumar, A Joshi, G Thakur, N Chauhan, A Kumar, BP Singh Journal of Recent Innovations in Computer Science and Technology 1 (1), 27-37 , 2024 2024 Citations: 5
A Modified Version of Round Robin Algorithm “Modulo Based Round Robin Algorithm” KS ANKUSH JOSHI, S B GOYAL International Journal of Advanced Science and Technology 29, 576-578 , 2020 2020 Citations: 5
Leveraging Deep Learning for Enhanced Security in Cloud-Based Critical Infrastructure A Joshi, V Kumar, N Chauhan, G Thakur Deep Learning Innovations for Securing Critical Infrastructures, 389-404 , 2025 2025 Citations: 4
Harnessing Big Data Visualization in Bioinformatics: From Data to Discovery A Joshi, G Thakur, V Kumar, Y Singh, D Joshi Cyber-Physical Systems Security: A Multi-disciplinary Approach, 259-290 , 2025 2025 Citations: 3
M-learning to lead the future of education in India A Joshi International Journal of Applied Services Marketing Perspectives 2 (2), 409 , 2013 2013 Citations: 3
The transformative impact of AI technologies on decision-making processes and operational efficiency across sectors, with a focus on finance N Chauhan, G Thakur, A Joshi, V Kumar, A Kumar, Y Singh Generative AI in FinTech: Revolutionizing Finance Through Intelligent … , 2025 2025 Citations: 2
Personalized Learning Experiences: AI Applications in the Metaverse for Education A Joshi, V Kumar, G Thakur, N Chauhan Navigating AI and the Metaverse in Scientific Research, 413-434 , 2025 2025 Citations: 2
Sentiment Analysis of Speeches using VADER, Sentiment Intensity Analyzer, and TextBlob A Joshi, D Joshi, V Kumar, A Kumar, RK Singh, N Chauhan 2024 4th International Conference on Advancement in Electronics … , 2024 2024 Citations: 2
Review of techniques and algorithms of load balancing in cloud computing N Chauhan, G Thakur, A Joshi, V Kumar, A Kumar Journal of Recent Innovations in Computer Science and Technology 1 (1), 15-26 , 2024 2024 Citations: 2