Abhishek Kesarwani

Orcid: 0000-0003-3971-6906

Affiliations:
  • National Institute of Technology Rourkela, India
  • National Institute of Technology Durgapur, India


According to our database1, Abhishek Kesarwani authored at least 11 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
CFWF-Net: A cross-lead fractional wavelet frequency-aware framework for morphology-perturbation-resilient and domain-adaptive ECG arrhythmia classification.
Expert Syst. Appl., 2026

2025
Non-invasive anaemia detection based on palm pallor video using tree-structured 3D CNN and vision transformer models.
J. Exp. Theor. Artif. Intell., August, 2025

Attention enabled precise haemoglobin prediction: A GNN based non-invasive approach.
Biomed. Signal Process. Control., 2025

2024
Multi-scale Vision Transformer toward improved non-invasive anaemia detection using palm video.
Multim. Tools Appl., November, 2024

Dual mode information fusion with pre-trained CNN models and transformer for video-based non-invasive anaemia detection.
Biomed. Signal Process. Control., February, 2024

2023
Smartphone-based non-invasive haemoglobin level estimation by analyzing nail pallor.
Biomed. Signal Process. Control., August, 2023

Non-invasive anaemia detection by examining palm pallor: A smartphone-based approach.
Biomed. Signal Process. Control., 2023

2022
Development of trust based access control models using fuzzy logic in cloud computing.
J. King Saud Univ. Comput. Inf. Sci., 2022

Non-invasive Haemoglobin Prediction Using Nail Color Features: An Approach of Dimensionality Reduction.
Proceedings of the Intelligent Computing Theories and Application, 2022

Non-invasive Haemoglobin Estimation Using Different Colour and Texture Features of Palm.
Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2021
COVID-19 Detection on Chest X-Ray and CT Scan Images Using Multi-image Augmented Deep Learning Model.
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021


  Loading...