Images Within Images? A Multi-image Paradigm with Novel Key-Value Graph Oriented Steganography. - Subhrangshu Adhikary (ICO, 2021)

Automatized Marine Vessel Monitoring from Sentinel-1 Data Using Convolution Neural Network. - Surya Prakash Tiwari; Sudhir Kumar Chaturvedi; Subhrangshu Adhikary; Saikat Banerjee; Sourav Basu (IGARSS, 2021)

Estimation of Chlorophyll-a From Oceanographic Properties - An Indirect Approach. - Surya Prakash Tiwari; Subhrangshu Adhikary; Saikat Banerjee (IGARSS, 2022)

Dynamic time warping approach for optimized locomotor impairment detection using biomedical signal processing. - Subhrangshu Adhikary; Arindam Ghosh 002 (Biomed. Signal Process. Control., 2022)

iBMSR: Intelligent Body Mass Status Recognition from Respiratory Auscultation. - Subhrangshu Adhikary; Arindam Ghosh 002; Subrata Nandi (COMSNETS, 2023)

Price Prediction of Digital Currencies using Machine Learning. - Ashutosh Dhar Dwivedi; Subhayu Dutta; Subhrangshu Adhikary; Jens Myrup Pedersen (DSAA, 2023)

Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface. - Subhrangshu Adhikary; Kushal Jain; Biswajit Saha; Deepraj Chowdhury (CoRR, 2023)

COVID-19 Spreading Prediction and Impact Analysis by Using Artificial Intelligence for Sustainable Global Health Assessment. - Subhrangshu Adhikary; Sonam Chaturvedi; Sudhir Kumar Chaturvedi; Saikat Banerjee (CoRR, 2023)

Dependence of Physiochemical Features on Marine Chlorophyll Analysis with Learning Techniques. - Subhrangshu Adhikary; Sudhir Kumar Chaturvedi; Saikat Banerjee; Sourav Basu (CoRR, 2023)

Nature Inspired Evolutionary Swarm Optimizers for Biomedical Image and Signal Processing - A Systematic Review. - Subhrangshu Adhikary (CoRR, 2023)

DeCrypt: a 3DES inspired optimised cryptographic algorithm. - Deepraj Chowdhury; Ajoy Dey; Ritam Garai; Subhrangshu Adhikary; Ashutosh Dhar Dwivedi; Uttam Ghosh; Waleed S. Alnumay (J. Ambient Intell. Humaniz. Comput., 2023)

PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification. - Subhrangshu Adhikary; Sai Deepak Varalasetty; Sree Teja Nadella; Arindam Ghosh 002; Subrata Nandi (Biomed. Signal Process. Control., 2024)

TinyWolf - Efficient on-device TinyML training for IoT using enhanced Grey Wolf Optimization. - Subhrangshu Adhikary; Subhayu Dutta; Ashutosh Dhar Dwivedi (Internet Things, 2024)

VisFormers - Combining Vision and Transformers for Enhanced Complex Document Classification. - Subhayu Dutta; Subhrangshu Adhikary; Ashutosh Dhar Dwivedi (Mach. Learn. Knowl. Extr., 2024)

FedTinyWolf - A Memory Efficient Federated Embedded Learning Mechanism. - Subhrangshu Adhikary; Subhayu Dutta (IEEE Embed. Syst. Lett., 2024)

MusicalBSI - musical genres responses to fMRI signals analysis with prototypical model agnostic meta-learning for brain state identification in data scarce environment. - Subhayu Dutta; Saptiva Goswami; Sonali Debnath; Subhrangshu Adhikary; Anandaprova Majumder (Comput. Biol. Medicine, 2025)

Fish species identification on low resolution - a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16. - Subhrangshu Adhikary; Saikat Banerjee; Rajani Singh; Ashutosh Dhar Dwivedi (PeerJ Comput. Sci., 2025)