Enhanced Intelligent Video Monitoring using Hybrid Integration of Spatiotemporal Autoencoders and Convolutional LSTMs Ankita Umale-Nagmote, Charu Goel, Nidhi Lal Informatica Slovenia, 2025 Perceiving meaningful activities in surveillance videos presents significant challenges due to the ambiguous nature of anomalies and scene complexity. This paper proposes a hybrid deep learning framework that combines spatial-temporal autoencoders with convolutional LSTMs for automated anomaly detection in surveillance videos. The architecture integrates stacked convolutional autoencoders for semi-supervised feature representation with LSTM networks for preserving temporal information. Experiments conducted on the UCSD Ped1 dataset demonstrate that our LSTM-based Stacked CAE achieves an AUC of 83.5%, a detection rate of 81.5%, and an Equal Error Rate (EER) of 19.2%. The model particularly excels in temporal pattern recognition with an accuracy of 84.5% and sequence processing efficiency of 82.7%. Comparative analysis with state-of-the-art methods reveals that the proposed architecture achieves competitive performance, particularly in handling complex motion patterns and maintaining temporal consistency. The model shows significant improvement in false alarm rate reduction at 15.8% compared to the basic CAE’s 17.2%. The results demonstrate that integrating LSTM with stacked convolutional autoencoders provides a robust framework for real-world surveillance applications, especially in scenarios requiring both spatial and temporal anomaly detection.
5G User Equipment (UE) Positioning and Localization Estimation using Machine Learning Sanket Survase, Raman Diwan, Kumari Nidhi Lal, Shishupal Kumar 2024 International Conference on Electrical Electronics and Computing Technologies Iceect 2024, 2024 The emergence of 5G technology has ushered in a new era of connectivity, making communications faster and cheaper. One of the main challenges of 5G networks is accuracy and efficiency, which are important for many applications such as driver less cars, smart cities and virtual reality. This research paper explores the integration of machine learning techniques to improve the accuracy and reliability of 5G infrastructure. The plan uses rich data generated by 5G networks, combining various parameters such as signal strength, flight time and angle of arrival. Machine learning algorithms are used to process this data and create good models for the correct location. The system is designed to adapt to dynamic and complex urban environments where traditional methods often encounter limitations. The main contribution of this research includes the development of a new machine learning-based distribution algorithm suitable for 5G networks, a comprehensive evaluation of performance comparison with the existing system, and evaluation of recommendations for feasibility and implementation. The results showed significant improvements in accuracy and reliability, demonstrating the potential of machine learning to revolutionize the 5G workplace.
A prediction approach of coronavirus disease 2019 cases in India using regression analysis modeling of machine learning Kumari Nidhi Lal, Shishupal Kumar Computer Intelligence Against Pandemics Tools and Methods to Face New Strains of Covid 19, 2023 A significant international epidemic and serious public health concern have been brought on by the arrival of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; also known as the coronavirus virus or 2019-nCoV) illness (COVID-19) in China at the end of 2019. As of February 20, 2021, India had been home to more than 10,977,387 confirmed cases and 156,240 fatalities, according to the data from the World Health Organization (WHO). The WHO designated COVID-19 as the sixth public health emergency of global concern on January 30, 2020. On May 15, 2020, 81,990 cases have been verified in India. In this regard, the Indian Council of Medical Research takes action to fulfill the wishes of coronavirus patients by offering them intensive treatment. Between April 1 and May 14, 2020, the daily COVID-19 infection rate in India was regularly between 20.64% and 30.81% of patients who are actually sick. India is now coping with the epidemic issue. In India, the number of patients who have become infected since May 14 has roughly followed an exponential trajectory. If this pattern continues for another week, there will be between 1 lakh and 13 lakh infected persons by the middle of March, and India will face a grave situation. By mid-March 2020, there will be a demand for up to 710,761 hospital isolation beds since intensive care units will then be at capacity. In this chapter, we covered the COVID-19 preparations and their effects on the world's second-most populous nation. A prognostication model is suggested as a contribution to accurately predict COVID-19 corroborated instances. Our study could help political leading lights and health-conscious organizations to allocate the necessary employees, beds, and intensive care facilities in handling the issue over the coming days and weeks.
A recent study based on prediction approach over Coronavirus disease-2019 cases in India using regression modeling of artificial intelligence Shishupal Kumar, Kumari Nidhi Lal, Aman Singh Innovations in Healthcare Informatics from Interoperability to Data Analysis, 2023 The advent of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; formerly named coronavirus virus or 2019-nCoV) disease (COVID-19) in China at the end of 2019 has caused a large global outbreak and is a major public health issue. As of February 20, 2021, data from the World Health Organization (WHO) have shown that more than 10,977,387 confirmed cases and 156,240 deaths have been identified in India. On January 30, 2020, the WHO declared COVID-19 as the sixth public health emergency of international concern. In India, there are 81,990 numbers of confirmed cases that have been identified as on May 15, 2020. In this regard, the Indian Council of Medical Research (ICMR) takes an initiative for providing intensive care to COVID-19 patients and to fulfill their needs. The percentage of patients infected with COVID-19 reported daily in India between April 1 and May 14, 2020 has been consistently between 20.64% and 30.81% of patients who are actively infected. Currently, India is sustaining in the pandemic situation. The number of patients infected since May 14 in India closely follows an exponential trend. If this trend continues for 1 more week, there will be 1-13 lakhs infected patients till mid-March and India will enter into a serious situation. Intensive care units are then at maximum capacity; up to 710,761 hospital isolation beds will be needed by mid-March, 2020. In this chapter, we discuss the preparations related to COVID-19 and its impact on the second highest populated country in the world. A prediction model is proposed to forecast the COVID-19 confirmed cases with high accuracy. The analysis might help political leaders and health authorities to allocate enough resources, including personnel, beds, and intensive care facilities, to manage the situation in the next few days and weeks.
Crime Prediction Using K-Nearest Neighboring Algorithm Akash Kumar, Aniket Verma, Gandhali Shinde, Yash Sukhdeve, Nidhi Lal International Conference on Emerging Trends in Information Technology and Engineering Ic Etite 2020, 2020
AI-Driven Dynamic Cache Policy Selection in ICN R Bishnoi, G Singh, A Kumar, KN Lal, S Maiti Computational Intelligence in Communications and Business Analytics: 7th … , 2026 2026
Maximizing Minimum Flow Rates Using Graph Conversion Techniques in Rechargeable Wireless Sensor Networks (rWSN) S Kumar, KN Lal Research Advances in Intelligent Computing: Volume 3 , 2026 2026
Classification of Sleep Stage for Human Wellness from Single-Channel EEG Using Convolutional Neural Network of Deep Learning KN Lal, R Agrawal, S Agarwal Research Advances in Intelligent Computing: Volume 3 , 2026 2026
Generalized Amplification Factor Model for DDoS Attacks with Network Dynamics J Sharma, KN Lal Data Science and Applications: Proceedings of ICDSA 2025, Volume 8 8, 269 , 2026 2026
Comparative Security Analysis through Lightweight Cipher in IoT AK Soni, KN Lal, S Maiti 2026 IEEE International Students' Conference on Electrical, Electronics and … , 2026 2026
Machine Learning Based Smart Recommendation System for Selection of Routing protocols in MANETs B Rakesh, D Yaswanth, KN Lal ICT Systems and Sustainability: Proceedings of ICT4SD 2025, Volume 6 6, 91 , 2025 2025
A Distance Metric Based Strategy for Detection of Interest Flooding Attack (IFA) in Information-Centric Networking (ICN) KN Lal, K Malani, A Gadekar International Conference on Sustainable Computing and Intelligent Systems, 33-43 , 2025 2025
Generalized Amplification Factor Model for DDoS Attacks with Network Dynamics J Sharma, KN Lal International Conference on Data Science and Applications, 269-281 , 2025 2025
Enhanced intelligent video monitoring using hybrid integration of spatiotemporal autoencoders and convolutional LSTMs A Umale-Nagmote, C Goel, N Lal Informatica 49 (18) , 2025 2025 Citations: 5
Automatic multimedia classification based on mood recognition of drivers in Internet-of-vehicle using fog computing KN Lal, Lekhraj Wireless Networks 31 (3), 2027-2038 , 2025 2025
5g user equipment (ue) positioning and localization estimation using machine learning S Survase, R Diwan, KN Lal, S Kumar 2024 International Conference on Electrical Electronics and Computing … , 2024 2024 Citations: 3
Vision-based outlier detection techniques in automated surveillance: a survey and future ideas A Umale, N Lal, C Goel Multimedia Tools and Applications 83 (5), 14565-14607 , 2024 2024 Citations: 4
A lung sound recognition model to diagnoses the respiratory diseases by using transfer learning KN Lal Multimedia Tools and Applications 82 (23), 36615-36631 , 2023 2023 Citations: 39
A prediction approach of coronavirus disease 2019 cases in India using regression analysis modeling of machine learning S Kumar, KN Lal Computer Intelligence Against Pandemics: Tools and Methods to Face New … , 2023 2023
Computer intelligence against pandemics: tools and methods to face new strains of COVID-19 S Bhattacharyya, J Sekhar Banerjee, S Gorbachev, K Muhammad, ... De Gruyter , 2023 2023 Citations: 8
A recent study based on prediction approach over Coronavirus disease-2019 cases in India using regression modeling of artificial intelligence S Kumar, KN Lal, A Singh 2023
A deep learning approach for anomalous user-intrusion detection in social media network system N Lal, S Kumar, G Kaidan Deep Learning for Social Media Data Analytics, 255-275 , 2022 2022 Citations: 1
An emergency event detection approach in real-time for efficient vehicle safety in Smart City N Lal, S Kumar Multimedia Tools and Applications 81 (5), 6373-6388 , 2022 2022 Citations: 7
Automatic speaker recognition using transfer learning approach of deep learning models S Ganvir, N Lal 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021 Citations: 8
A road monitoring approach with real-time capturing of events for efficient vehicles safety in smart city N Lal, S Kumar, VK Chaurasiya Wireless Personal Communications 114 (1), 657-674 , 2020 2020 Citations: 13
MOST CITED SCHOLAR PUBLICATIONS
Crime prediction using K-nearest neighboring algorithm A Kumar, A Verma, G Shinde, Y Sukhdeve, N Lal 2020 International conference on emerging trends in information technology … , 2020 2020 Citations: 81
A lung sound recognition model to diagnoses the respiratory diseases by using transfer learning KN Lal Multimedia Tools and Applications 82 (23), 36615-36631 , 2023 2023 Citations: 39
A centrality-measures based caching scheme for content-centric networking (CCN) KN Lal, A Kumar Multimedia Tools and Applications 77 (14), 17625-17642 , 2018 2018 Citations: 34
Modified design of microstrip patch antenna for WiMAX communication system KN Lal, AK Singh Proceedings of the 2014 IEEE Students' Technology Symposium, 386-389 , 2014 2014 Citations: 33
Modified trial division algorithm using KNJ-factorization method to factorize RSA public key encryption N Lal, AP Singh, S Kumar 2014 International Conference on Contemporary Computing and Informatics … , 2014 2014 Citations: 31
A forwarding strategy based on ANFIS in internet-of-things-oriented wireless sensor network (WSN) using a novel fuzzy-based cluster head protocol S Kumar, N Lal, VK Chaurasiya Annals of Telecommunications 73 (9), 627-638 , 2018 2018 Citations: 29
Detection of malicious node behaviour via I-watchdog protocol in mobile Ad Hoc network with DSDV routing scheme N Lal, S Kumar, A Saxena, VK Chaurasiya Procedia Computer Science 49, 264-273 , 2015 2015 Citations: 29
An energy efficient IPv6 packet delivery scheme for industrial IoT over G. 9959 protocol based wireless sensor network (WSN) S Kumar, N Lal, VK Chaurasiya Computer Networks 154, 79-87 , 2019 2019 Citations: 26
Caching methodologies in Content centric networking (CCN): A survey N Lal, S Kumar, G Kadian, VK Chaurasiya Computer Science Review 31, 39-50 , 2019 2019 Citations: 26
An effective approach for mobile ad hoc network via I-Watchdog protocol N Lal arXiv preprint arXiv:1412.8013 , 2014 2014 Citations: 24
E-health application over 5G using Content-Centric networking (CCN) KN Lal, A Kumar 2017 International conference on IOT and application (ICIOT), 1-5 , 2017 2017 Citations: 23
A cache content replacement scheme for information centric network KN Lal, A Kumar Procedia Computer Science 89, 73-81 , 2016 2016 Citations: 20
A popularity based content eviction scheme via betweenness-centrality caching approach for content-centric networking (CCN) KN Lal, A Kumar Wireless Networks 25 (2), 585-596 , 2019 2019 Citations: 17
A road monitoring approach with real-time capturing of events for efficient vehicles safety in smart city N Lal, S Kumar, VK Chaurasiya Wireless Personal Communications 114 (1), 657-674 , 2020 2020 Citations: 13
An efficient update strategy for content synchronization in Content-Centric Networking (CCN) N Lal, S Kumar, VK Chaurasiya IEEE China Communications , 2019 2019 Citations: 12
A heuristic edf uplink scheduler for real time application in wimax communication N Lal, AP Singh, S Kumar, S Mittal, M Singh arXiv preprint arXiv:1501.04553 , 2015 2015 Citations: 11
A prediction model of detecting liver diseases in patients using logistic regression of machine learning PSM Keerthana, N Phalinkar, R Mehere, K Bhanu Prakash Reddy, N Lal Proceedings of the international conference on innovative computing … , 2020 2020 Citations: 10
An adaptive neuro-fuzzy inference system-based caching scheme for content-centric networking N Lal, S Kumar, VK Chaurasiya Soft Computing 23 (12), 4459-4470 , 2019 2019 Citations: 9
Computer intelligence against pandemics: tools and methods to face new strains of COVID-19 S Bhattacharyya, J Sekhar Banerjee, S Gorbachev, K Muhammad, ... De Gruyter , 2023 2023 Citations: 8
Automatic speaker recognition using transfer learning approach of deep learning models S Ganvir, N Lal 2021 6th International Conference on Inventive Computation Technologies … , 2021 2021 Citations: 8
