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2020 – today
- 2026
[j5]Sanjay Roka, Manoj Diwakar
, Prabhishek Singh, Laxman Singh, Deepak Garg:
A survey on abnormal behavior detection based intelligence information video surveillance system using optimized machine learning methods. Eng. Appl. Artif. Intell. 166: 113438 (2026)- 2025
- [c3]Harshit Singhal, Manoj Diwakar, Neeraj Kumar Pandey, Sanjay Roka, Aditya Joshi, Prabhishek Singh:
Efficient Driver Fatigue Detection via Face-Centric Transfer Learning with MobileNetV2. ICACDS 2025: 218-228 - [c2]Ansh Bansal, Manoj Diwakar, Neeraj Kumar Pandey, Sanjay Roka, Prabhishek Singh, Aditya Joshi:
Integrating Convolutional Neural Networks and Transformer Architecture for Accurate Potato Leaf Disease Detection. ICACDS 2025: 319-328 - 2024
- [j4]Sanjay Roka, Manoj Diwakar:
DSLSTM: a deep convolutional encoder-decoder architecture for abnormality detection in video surveillance. Clust. Comput. 27(4): 4925-4940 (2024) - [c1]Om Bhatt, Vaibhav Kotiyal, Shreyas Tyagi, Sanjay Roka, Pramod Mehra:
CNN and Transformer based Brain Tumor Detection and Classification System. ICCCNT 2024: 1-5 - 2023
- [j3]Sanjay Roka, Manoj Diwakar:
Deep stacked denoising autoencoder for unsupervised anomaly detection in video surveillance. J. Electronic Imaging 32(3) (2023) - [j2]Sanjay Roka, Manoj Diwakar, Prabhishek Singh, Pragya Singh:
Anomaly behavior detection analysis in video surveillance: a critical review. J. Electronic Imaging 32(4) (2023) - [j1]Sanjay Roka, Manoj Diwakar:
CViT: A Convolution Vision Transformer for Video Abnormal Behavior Detection and Localization. SN Comput. Sci. 4(6): 829 (2023)
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