Data Mining, Machine Learning, AI, Image Processing
34
Scopus Publications
1179
Scholar Citations
11
Scholar h-index
11
Scholar i10-index
Scopus Publications
Assessing the impact of urban expansion, deforestation and long-term climate variations in the Himalayan foothills: A machine learning approach Pooja Joshi, Neelam Sharma, Devanshu Ghildiyal, Sameer Rawat Environment Conservation Journal, 2026 This study assesses decadal climate-land cover interactions in Dehradun (2014–2025) using Landsat and CHIRPS/ERA5 data. Utilizing multi-index feature engineering (NDVI, SAVI, NDBI, MNDWI) to enhance class separability by 37%, the research compares three machine learning models: CART, Random Forest (RF), and K-Means. CART achieved the highest overall accuracy (99.88%), significantly outperforming K-Means (89.2%). Findings reveal urban expansion of 33.0% (150.96 to 200.73 km²), a 6.0% decline in water bodies, and a 1.6% loss in dense forest, with 420 hectares lost specifically in the Lacchiwala Range. Climate analysis shows that the temperature will rise by 1.2°C, and that warming will speed up to 0.21°C/year after 2020, which is twice the global average. These shifts have created a 2.3°C urban-forest thermal gradient and reduced evaporative cooling by 18%. The study advocates for adaptive governance and forest corridor restoration to mitigate hydrological vulnerability in the Himalayan foothills.
Advanced Online Proctoring: Facial Emotion Monitoring with Attentive-Net Sangeeta Lamba, Neelam Sharma Advances in Artificial Intelligence and Machine Learning, 2025 The Attentive Proctoring System proposed in this paper addresses the growing need for reliable remote examination solutions amid the global shift toward online learning. Traditional methods of human proctoring are often constrained by scalability issues and resource demands, rendering them inefficient in the face of large-scale online assessments. Leveraging advanced deep learning techniques, our framework aims to ensure exam integrity through a multi-phase approach. By preprocessing video frames captured from students’ webcams and employing techniques such as background subtraction and face detection with YOLOv7- SGCN, we establish a robust foundation for identifying potential irregularities. YOLOv7- SGCN is ideally suited for real-time applications since it offers reliable and effective identification of questionable activity with no processing overhead. However, Attentive-Net improves attention-based feature learning, increasing the precision of recognizing tiny behavioral cues. Further enhancing security measures, our system integrates multi-modal liveness detection and head pose estimation, providing comprehensive monitoring capabilities. Emotion detection, facilitated by a Faster R-CNN, enables the identification of unauthorized aids like mobile devices or books. The integration of Attentive-Net allows for dynamic focus adjustment based on various component outputs, ensuring a thorough examination of pertinent areas within the image. With mechanisms in place for alert and intervention, our system offers a proactive approach to maintaining exam integrity, thereby fostering trust and confidence in the online examination process.
Human intrusion detection by optimize dragon deep belief network Garima Bohra, C.K. Jha, Neelam Sharma Computational Methods in Science and Technology Proceedings of the 4th International Conference on Computational Methods in Science and Technology Iccmst 2024, 2025
Human Crime Based Intrusion Detection by Semantic Features Using LSTM with Inception Deep Learning Approach International Journal of Intelligent Systems and Applications in Engineering, 2024
Data-Aware Cache Management for Graph Analytics Neelam Sharma, Varun Venkitaraman, Newton, Vikash Kumar, Shubham Singhania, et al. Proceedings of the 2022 Design Automation and Test in Europe Conference and Exhibition Date 2022, 2022
Probabilistic approach to predict landslide susceptibility based on dynamic parameters for Uttarkashi, Uttarakhand (India) Journal of Scientific and Industrial Research, 2021
Smart E-Exam Proctoring with Emotion Detection and Distance Estimation S Lamba, N Sharma Doctoral Symposium on Computational Intelligence, 435-446 , 2025 2025
Assessment of Advancements in Online Examination Proctoring Systems S Lamba, N Sharma International Conference on Computing and Communication Networks, 675-690 , 2024 2024
Human intrusion detection by optimize dragon deep belief network G Bohra, CK Jha, N Sharma Computational Methods in Science and Technology, 46-49 , 2024 2024
Human activity recognition using residual deep network with extreme learning G Bohra, CK Jha, N Sharma Computational Methods in Science and Technology, 50-54 , 2024 2024
Asymmetric multi-image wavelength multiplexing cryptosystem using QZ algorithm and unequal modulus decomposition I Saini, N Sharma Optics & Laser Technology 172, 110505 , 2024 2024 Citations: 17
Human Activity Recognition Using Hierarchical Hybrid Multi-CNN ELM Classifier G Bohra, C Kumar, N Sharma Journal of Electrical Systems 20 (10s), 1068-1085 , 2024 2024
Human Crime Based Intrusion Detection by Semantic Features Using LSTM with Inception Deep Learning Approach NS G Bohra ,C K Jha International Journal of Intelligent Systems and Applications in Engineering 12 , 2023 2023
Vulnerability Analysis Of ML-Based Intrusion Detection Systems Against Evasion Attacks S Buriya, N Sharma Educational Administration: Theory and Practice 29 (4), 1960-1968 , 2023 2023
A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing R Jain, N Sharma Cluster Computing 26 (6), 3587-3610 , 2023 2023 Citations: 47
Malware Detection Using 1d Convolution with Batch Normalization and L2 Regularization for Android S Buriya, N Sharma 2023 International Conference on System, Computation, Automation and … , 2023 2023 Citations: 3
A Deadline-Budget Constrained Task Admission Control for a Software-as-a-Service Provider in Cloud Computing R Jain, N Sharma Iraqi Journal of Science, 5280-5290 , 2023 2023
Security Assessment of Deep Learning Model for Intrusion Detection System Against Adversarial Example S Buriya, N Sharma International Conference on Intelligent Computing Systems and Applications … , 2023 2023
EMITS-F: A Model of Embodied Fuzzy Intelligent Tutoring System P Asopa, N Sharma International Conference on Information and Communication Technology for … , 2023 2023 Citations: 2
Hybrid machine learning approach for landslide prediction, Uttarakhand, India P Kainthura, N Sharma Scientific Reports 12 (1), 1-23 , 2022 2022 Citations: 99
A ‘Divide and Embed’approach in a robust crypto-watermarking technique for enhancing the embedding capacity U Verma, N Sharma Biomedical Signal Processing and Control 76, 103694 , 2022 2022 Citations: 7
Advanced Online Proctoring: Facial Emotion Monitoring with Attentive-Net. Advances in Artificial Intelligence and Machine Learning. 2025; 5 (2): 207 S Lamba, N Sharma Sensors 22, 654 , 2022 2022
Enhancing the Security of Medical Images in Telemedicine Using Region-based Crypto-Watermarking Approach U Verma, N Sharma 2022 12th International Conference on Cloud Computing, Data Science … , 2022 2022 Citations: 6
A Deadline-Constrained Time-Cost-Effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing R Jain, N Sharma International Journal of Applied Metaheuristic Computing (IJAMC) 13 (1), 1-21 , 2022 2022 Citations: 12
Probabilistic Approach to Predict Landslide Susceptibility based on Dynamic Parameters for Uttarkashi, Uttarakhand (India) P Kainthura, N Sharma Journal of Scientific and Industrial Research (JSIR) 80 (08), 716-725 , 2021 2021 Citations: 4
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India P Kainthura, N Sharma Georisk: Assessment and Management of Risk for Engineered Systems and … , 2021 2021 Citations: 66
MOST CITED SCHOLAR PUBLICATIONS
Intrusion detection using naive Bayes classifier with feature reduction S Mukherjee, N Sharma Procedia Technology 4, 119-128 , 2012 2012.0 Citations: 701
Hybrid machine learning approach for landslide prediction, Uttarakhand, India P Kainthura, N Sharma Scientific Reports 12 (1), 1-23 , 2022 2022.0 Citations: 99
Machine learning driven landslide susceptibility prediction for the Uttarkashi region of Uttarakhand in India P Kainthura, N Sharma Georisk: Assessment and Management of Risk for Engineered Systems and … , 2021 2021.0 Citations: 66
Handwritten Digit Recognition Using CNN H Jain, N Sharma Proceedings of the Second International Conference on Information Management … , 2021 2021.0 Citations: 49
A quantum inspired hybrid SSA–GWO algorithm for SLA based task scheduling to improve QoS parameter in cloud computing R Jain, N Sharma Cluster Computing 26 (6), 3587-3610 , 2023 2023.0 Citations: 47
A novel multi-classifier layered approach to improve minority attack detection in IDS N Sharma, S Mukherjee Procedia Technology 6, 913-921 , 2012 2012.0 Citations: 46
Hybrid mode of medical image watermarking to enhance robustness and imperceptibility N Verma, U., Sharma International Journal of Innovative Technology and Exploring Engineering 9 … , 2019 2019.0 Citations: 40
Layered approach for intrusion detection using naïve Bayes classifier N Sharma, S Mukherjee Proceedings of the International Conference on Advances in Computing … , 2012 2012.0 Citations: 35
Asymmetric multi-image wavelength multiplexing cryptosystem using QZ algorithm and unequal modulus decomposition I Saini, N Sharma Optics & Laser Technology 172, 110505 , 2024 2024.0 Citations: 17
A Deadline-Constrained Time-Cost-Effective Salp Swarm Algorithm for Resource Optimization in Cloud Computing R Jain, N Sharma International Journal of Applied Metaheuristic Computing (IJAMC) 13 (1), 1-21 , 2022 2022.0 Citations: 12
A systematic analysis of nature inspired workflow scheduling algorithm in heterogeneous cloud environment R Jain, N Sharma, P Jain 2017 International Conference on Intelligent Communication and Computational … , 2017 2017.0 Citations: 11
A Study on the Impact of Dimensions of Risk Management on Risk Management Practices in It Projects in the UAE VK Vijayan, DN Sharma International Journal of Management 11 (9) , 2020 2020.0 Citations: 8
A ‘Divide and Embed’approach in a robust crypto-watermarking technique for enhancing the embedding capacity U Verma, N Sharma Biomedical Signal Processing and Control 76, 103694 , 2022 2022.0 Citations: 7
A QoS Aware Binary Salp Swarm Algorithm for Effective Task Scheduling in Cloud Computing R Jain, N Sharma Progress in Advanced Computing and Intelligent Engineering, 462-473 , 2021 2021.0 Citations: 7
Enhancing the Security of Medical Images in Telemedicine Using Region-based Crypto-Watermarking Approach U Verma, N Sharma 2022 12th International Conference on Cloud Computing, Data Science … , 2022 2022.0 Citations: 6
Intrusion detection using naive bayes classifier with feature reduction 4: 119–128 S Mukherjee, N Sharma Elsevier , 2012 2012.0 Citations: 5
Probabilistic Approach to Predict Landslide Susceptibility based on Dynamic Parameters for Uttarkashi, Uttarakhand (India) P Kainthura, N Sharma Journal of Scientific and Industrial Research (JSIR) 80 (08), 716-725 , 2021 2021.0 Citations: 4
Deep analysis of chatbots: Features, methodology, and comparison V Verma, I Nigam, C Taragi, N Sharma Recent Advances in Sciences, Engineering, Information Technology … , 0 Citations: 4
Malware Detection Using 1d Convolution with Batch Normalization and L2 Regularization for Android S Buriya, N Sharma 2023 International Conference on System, Computation, Automation and … , 2023 2023.0 Citations: 3
Artificial Neural Network based Dual Layered Predictive Model for Rare Attack Detection U Shrivastava, N Sharma 2020 International Conference on Computational Performance Evaluation (ComPE … , 2020 2020.0 Citations: 3