Abhinav Kumar

Orcid: 0000-0001-9741-4020

Affiliations:
  • Indian Institute of Technology (BHU), Varanasi, Uttar, India


According to our database1, Abhinav Kumar authored at least 17 papers between 2020 and 2024.

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Bibliography

2024
Artificial Intelligence-Based Model for Predicting the Minimum Inhibitory Concentration of Antibacterial Peptides Against ESKAPEE Pathogens.
IEEE J. Biomed. Health Informatics, April, 2024

EnDL-HemoLyt: Ensemble Deep Learning-Based Tool for Identifying Therapeutic Peptides With Low Hemolytic Activity.
IEEE J. Biomed. Health Informatics, April, 2024

A Label-Efficient Semi Self-Supervised Learning Framework for IoT Devices in Industrial Process.
IEEE Trans. Ind. Informatics, February, 2024

2023
Multi-scale temporal convolutional networks and continual learning based <i>in silico</i> discovery of alternative antibiotics to combat multi-drug resistance.
Expert Syst. Appl., April, 2023

2022
Deep-AVPpred: Artificial Intelligence Driven Discovery of Peptide Drugs for Viral Infections.
IEEE J. Biomed. Health Informatics, 2022

MediSecFed: Private and Secure Medical Image Classification in the Presence of Malicious Clients.
IEEE Trans. Ind. Informatics, 2022

Accelerating the discovery of antifungal peptides using deep temporal convolutional networks.
Briefings Bioinform., 2022

StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides.
Briefings Bioinform., 2022

Deep-AFPpred: identifying novel antifungal peptides using pretrained embeddings from seq2vec with 1DCNN-BiLSTM.
Briefings Bioinform., 2022

2021
A Novel Cloud-Assisted Secure Deep Feature Classification Framework for Cancer Histopathology Images.
ACM Trans. Internet Techn., 2021

CoMHisP: A Novel Feature Extractor for Histopathological Image Classification Based on Fuzzy SVM With Within-Class Relative Density.
IEEE Trans. Fuzzy Syst., 2021

Imbalanced Breast Cancer Classification Using Transfer Learning.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

MetaMed: Few-shot medical image classification using gradient-based meta-learning.
Pattern Recognit., 2021

MobiHisNet: A Lightweight CNN in Mobile Edge Computing for Histopathological Image Classification.
IEEE Internet Things J., 2021

Deep-ABPpred: identifying antibacterial peptides in protein sequences using bidirectional LSTM with word2vec.
Briefings Bioinform., 2021

AniAMPpred: artificial intelligence guided discovery of novel antimicrobial peptides in animal kingdom.
Briefings Bioinform., 2021

2020
Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer.
Inf. Sci., 2020


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