A Parallelization of Non-Serial Polyadic Dynamic Programming on GPU. - Tausif Diwan; Jitendra V. Tembhurne (J. Comput. Inf. Technol., 2019)

A multi-class skin Cancer classification using deep convolutional neural networks. - Saket S. Chaturvedi; Jitendra V. Tembhurne; Tausif Diwan (Multim. Tools Appl., 2020)

IIITN NLP at SMM4H 2021 Tasks: Transformer Models for Classification on Health-Related Imbalanced Twitter Datasets. - Varad Pimpalkhute; Prajwal Nakhate; Tausif Diwan (SMM4H@NAACL-HLT, 2021)

Sentiment analysis in textual, visual and multimodal inputs using recurrent neural networks. - Jitendra V. Tembhurne; Tausif Diwan (Multim. Tools Appl., 2021)

BrC-MCDLM: breast Cancer detection using Multi-Channel deep learning model. - Jitendra V. Tembhurne; Anupama Hazarika; Tausif Diwan (Multim. Tools Appl., 2021)

Multi-channel Deep Model for Classification of Alzheimer's Disease Using Transfer Learning. - Sriram Dharwada; Jitendra V. Tembhurne; Tausif Diwan (ICDCIT, 2022)

Script-Independent Text Segmentation from Document Images. - Parul Sahare; Jitendra V. Tembhurne; Mayur Rajaram Parate; Tausif Diwan; Sanjay B. Dhok (Int. J. Ambient Comput. Intell., 2022)

Identification of Plant Diseases Using Multi-Level Classification Deep Model. - Jitendra V. Tembhurne; Tarun Saxena; Tausif Diwan (Int. J. Ambient Comput. Intell., 2022)

Mc-DNN: Fake News Detection Using Multi-Channel Deep Neural Networks. - Jitendra V. Tembhurne; Md. Moin Almin; Tausif Diwan (Int. J. Semantic Web Inf. Syst., 2022)

Sentiment analysis: a convolutional neural networks perspective. - Tausif Diwan; Jitendra V. Tembhurne (Multim. Tools Appl., 2022)

Object detection using YOLO: challenges, architectural successors, datasets and applications. - Tausif Diwan; G. Anirudh; Jitendra V. Tembhurne (Multim. Tools Appl., 2023)

Improvised detection of deepfakes from visual inputs using light weight deep ensemble model. - Saroj Kumar Panda; Tausif Diwan; Omprakash G. Kakde; Jitendra V. Tembhurne (Multim. Tools Appl., 2023)

Plant disease detection using deep learning based Mobile application. - Jitendra V. Tembhurne; Saurav M. Gajbhiye; Vedant R. Gannarpwar; Harshal R. Khandait; Purva R. Goydani; Tausif Diwan (Multim. Tools Appl., 2023)

Skin cancer detection using ensemble of machine learning and deep learning techniques. - Jitendra V. Tembhurne; Nachiketa Hebbar; Hemprasad Yashwant Patil; Tausif Diwan (Multim. Tools Appl., 2023)

Hybrid cuttle Fish-Grey wolf optimization tuned weighted ensemble classifier for Alzheimer's disease classification. - Umakant Mandawkar; Tausif Diwan (Biomed. Signal Process. Control., 2024)

An Optimal Weighted Ensemble of 3D CNNs for Early Diagnosis of Alzheimer's Disease. - Sriram Dharwada; Jitendra V. Tembhurne; Tausif Diwan (SN Comput. Sci., 2024)

Personalized federated learning for the detection of COVID-19. - Dharwada Sesha Sriram; Aseem Ranjan; Vedant Ghuge; Naveen Rathore; Raghav Agarwal; Tausif Diwan; Jitendra V. Tembhurne (Multim. Tools Appl., 2024)

GA-MPG: efficient genetic algorithm for improvised mobile plan generation. - Rohan S. Shukla; Ekta A. Ghuse; Tausif Diwan; Jitendra V. Tembhurne; Parul Sahare (J. Ambient Intell. Humaniz. Comput., 2024)

Deep learning based 3D multimodal CNN for brain tumor segmentation and detection. - Aniket Tiwari; Divyansh Kumar; Hanuman Sidh; Parul Sahare; Tausif Diwan; Vishal Satpute (Iran J. Comput. Sci., 2024)

An Empirical Survey on the Classification Strategies for Automated Alzheimer's Disease. - Umakant Mandawkar; Tausif Diwan (SN Comput. Sci., 2024)

Meta-Transformers: A Hybrid Approach for Medical Image Segmentation With U-Net and Meta-Learning. - Neha Tirpude; Tausif Diwan; Meera Dhabu (IEEE Access, 2025)

Early detection of stroke disease using patients previous medical data instil with deep learning. - Tausif Diwan; Saurav M. Gajbhiye; Purva R. Goydani; Vedant R. Gannarpwar; Harshal R. Khandait; Jitendra V. Tembhurne; Parul Sahare (Multim. Tools Appl., 2025)