Pranesh Das

Employment

• National Institute of Technology Warangal Assistant Professor Gr. I
  2026 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (24)

• Cross-modal uncertainty modeling framework for unseen video anomaly detection
  Neurocomputing 2026 DOI: 10.1016/j.neucom.2025.132591
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• An unsupervised domain adaptation approach for remote sensing scene classification using adaptive incremental density-based clustering and multi-objective optimization
  Computers and Electrical Engineering 2026 DOI: 10.1016/j.compeleceng.2025.110908
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• A modified Gray Wolf Optimization algorithm for early detection of Parkinson’s Disease
  Biomedical Signal Processing and Control 2025 DOI: 10.1016/j.bspc.2025.108061
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• An automated incremental density-based clustering approach using unsupervised deep learning and multi-objective optimization
  Computers and Electrical Engineering 2025 DOI: 10.1016/j.compeleceng.2025.110109
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• Enhancing Automated Short Answer Grading with Prompt-Driven Augmentation and Prompt Adaptive Oversampling
  2025 DOI: 10.1007/978-3-031-78119-3_12
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• Disaster Tweets Classification for Multilingual Tweets Using Machine Learning Techniques
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-48984-6_10
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• ReFLIP-VAD: Towards Weakly Supervised Video Anomaly Detection via Vision-Language Model
  IEEE Transactions on Circuits and Systems for Video Technology 2024 DOI: 10.1109/TCSVT.2024.3482007
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• SCEOMOO: A novel Subspace Clustering approach using Evolutionary algorithm, Off-spring generation and Multi-Objective Optimization
  Applied Soft Computing 2023 DOI: 10.1016/J.ASOC.2023.110185
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• Statistically aided Binary Multi-Objective Grey Wolf Optimizer: a new feature selection approach for classification
  The Journal of Supercomputing 2023 DOI: 10.1007/S11227-023-05145-Y
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• MSDeepNet: A Novel Multi-stream Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos
  Communications in Computer and Information Science 2023 DOI: 10.1007/978-3-031-39059-3_11
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