Anima Pramanik

According to our database, Anima Pramanik authored at least 15 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RBKWOT: Rough-Allowance Borderline K-Mode Clustering, Weighted Oversampling Technique for Class Imbalance Handling.

Anima Pramanik, Sankar K. Pal

IEEE Trans. Syst. Man Cybern. Syst., April, 2026

FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer's Disease using MRI Scan Images.

Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Indranil Bose

Inf. Syst. Frontiers, April, 2026

2025

Real-time fall detection on roads using transfer learning-based granulated Bi-LSTM.

Anima Pramanik, Soumick Sarker, Sobhan Sarkar, Sankar K. Pal

Knowl. Based Syst., 2025

Self-supervised learning for labeling unlabeled imbalanced data using generalized label distribution.

Jiangtao Deng, Leilei Chang, Anima Pramanik, Xiaobin Xu

J. Frankl. Inst., 2025

2023

Video surveillance-based fall detection system using object-level feature thresholding and Z-numbers.

Anima Pramanik, Sobhan Sarkar, Sankar K. Pal

Knowl. Based Syst., November, 2023

An integrated approach using rough set theory, ANFIS, and Z-number in occupational risk prediction.

Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti

Eng. Appl. Artif. Intell., 2023

2022

Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers.

Anima Pramanik, Sankar Kumar Pal, Jhareswar Maiti, Pabitra Mitra

IEEE Trans. Intell. Transp. Syst., 2022

Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking.

Anima Pramanik, Sankar K. Pal, Jhareswar Maiti, Pabitra Mitra

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Correction to: An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis.

Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik

Neural Comput. Appl., 2022

An integrated approach using growing self-organizing map-based genetic K-means clustering and tolerance rough set in occupational risk analysis.

Sobhan Sarkar, Numan Ejaz, Jhareswar Maiti, Anima Pramanik

Neural Comput. Appl., 2022

2021

RT-GSOM: Rough tolerance growing self-organizing map.

Anima Pramanik, Sobhan Sarkar, Jhareswar Maiti, Pabitra Mitra

Inf. Sci., 2021

COVID-19 outbreak: A data-driven optimization model for allocation of patients.

Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti, Genserik Reniers

Comput. Ind. Eng., 2021

Deep learning in multi-object detection and tracking: state of the art.

Sankar K. Pal, Anima Pramanik, Jhareswar Maiti, Pabitra Mitra

Appl. Intell., 2021

Real-Time Detection of Traffic Anomalies Near Roundabouts.

Anima Pramanik, Sobhan Sarkar, Chawki Djeddi, Jhareswar Maiti

Proceedings of the Pattern Recognition and Artificial Intelligence, 2021

Predicting and Analysing Pedestrian Injury Severity: A Machine Learning-Based Approach.

Anjali Rao, Sobhan Sarkar, Anima Pramanik, Jhareswar Maiti

Proceedings of the Seventh International Conference on Mathematics and Computing, 2021