Anju Yadav

发表

Chapter 17 Ensemble method for multiclassification of COVID-19 virus using spatial and frequency domain features over X-ray images

V. Pal, Ashraya Gupta, Anju Yadav, 2022, Artificial Intelligence and Machine Learning for EDGE Computing.

FVC-NET: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning

Tarandeep Singh Walia, Atef Zaguia, Aayush Kumar, 2022, Comput. Intell. Neurosci..

Analysis of Optimal Number of Cluster Heads on Network Lifetime in Clustered Wireless Sensor Networks

Anju Yadav, Yogita, Vipin Pal, 2021 .

DDC protocol to protract network lifetime of wireless sensor networks

Anju Yadav, Vipin Pal, Yogita Yogita, 2020, International Journal of Computers and Applications.

Paradigms of Image Compression and Encryption: A Review

Pratistha Mathur, Anju Yadav, Viveak Kumar Verma, 2019, 2019 2nd International Conference on Intelligent Communication and Computational Techniques (ICCT).

Key Feature Extraction and Machine Learning-Based Automatic Text Summarization

Vivek Kumar Verma, Tarun Jain, Anju Yadav, 2018, Advances in Intelligent Systems and Computing.

Evaluation of Machine Learning Algorithms for the Detection of Fake Bank Currency

V. Pal, Anju Yadav, V. Verma, 2021, 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence).

AFD-Net: Apple Foliar Disease multi classification using deep learning on plant pathology dataset

Jerry Chun-Wei Lin, V. Bhateja, V. Pal, 2022, Plant and Soil.

Supervised Machine Learning Approach For The Prediction of Breast Cancer

Vivek Kumar Verma, Ashish Jain, Tarun Jain, 2020, 2020 International Conference on System, Computation, Automation and Networking (ICSCAN).

An Empirical Analysis of Heart Disease Prediction Using Data Mining Techniques

Ashish Kumar, Anju Yadav, V. Verma, 2021, Data Engineering for Smart Systems.

BID-Net: An Automated System for Bone Invasion Detection Occurring at Stage T4 in Oral Squamous Carcinoma Using Deep Learning

A. Chakrabarty, V. Pal, P. Agarwal, 2022, Comput. Intell. Neurosci..

Automated Detection and Classification of Breast Cancer Tumour Cells using Machine Learning and Deep Learning on Histopathological Images

V. Pal, Vanshika Jain, Anju Yadav, 2021, 2021 6th International Conference for Convergence in Technology (I2CT).

BRMCF: Binary Relevance and MLSMOTE Based Computational Framework to Predict Drug Functions From Chemical and Biological Properties of Drugs

V. Pal, Yogita Thakran, Pranab Das, 2022, IEEE/ACM Transactions on Computational Biology & Bioinformatics.

Performance Analysis of Deep Learning Models for Binary Classification of Cancer Gene Expression Data

Yogita, A. Chakrabarty, V. Pal, 2022, Journal of healthcare engineering.

A Chaotic Genetic Algorithm for Wireless Sensor Networks

Anju Yadav, Ketan Jha, Vipin Pal, 2018 .

Magnetic Field Line-Based Node Deployment Strategy for Wireless Sensor Networks

R. P. Yadav, Anju Yadav, Yogita, 2018 .