Dr. Anita Sahoo

About Dr. Anita Sahoo

Dr. Anita Sahoo, With an exceptional h-index of 8 and a recent h-index of 6 (since 2020), a distinguished researcher at Jaypee Institute of Information Technology, specializes in the field of Computational Intelligence, Computer Vision, Pattern Recognition, Quantum Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

QCLR: Quantum-LSTM contrastive learning framework for continuous mental health monitoring

An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction

MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring

Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery

Effective Approach for Computer Programming Text-Book Content Translation to Hindi Language

Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring

Quantum enhanced machine learning for unobtrusive stress monitoring

Stock Prices Prediction Based on Social Influence & Historic Data

Dr. Anita Sahoo Information

University

Position

India

Citations(all)

246

Citations(since 2020)

182

Cited By

139

hIndex(all)

8

hIndex(since 2020)

6

i10Index(all)

8

i10Index(since 2020)

2

Email

University Profile Page

Google Scholar

Dr. Anita Sahoo Skills & Research Interests

Computational Intelligence

Computer Vision

Pattern Recognition

Quantum Machine Learning

Top articles of Dr. Anita Sahoo

Title

Journal

Author(s)

Publication Date

QCLR: Quantum-LSTM contrastive learning framework for continuous mental health monitoring

Expert Systems with Applications

Anupama Padha

Anita Sahoo

2024/3/15

An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction

Annals of Data Science

Parul Agarwal

Anita Sahoo

Divyanshi Garg

2024/1/24

MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring

Quantum Machine Intelligence

Anupama Padha

Anita Sahoo

2023/4/5

Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery

Computer Methods and Programs in Biomedicine

Bhavana Bansal

Anita Sahoo

2023/1/1

Effective Approach for Computer Programming Text-Book Content Translation to Hindi Language

Anita Sahoo

Amogh Bansal

Ansh Mishra

Modit Modit

2023/11/23

Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring

Anupama Padha

Anita Sahoo

2023/4/15

Quantum enhanced machine learning for unobtrusive stress monitoring

Anupama Padha

Anita Sahoo

2022/8/4

Stock Prices Prediction Based on Social Influence & Historic Data

Prashant Kumar

Sneha Adhikari

Parul Agarwal

Anita Sahoo

2022/8/4

A parametrized quantum LSTM model for continuous stress monitoring

Anupama Padha

Anita Sahoo

2022/3/23

Chaotic driven gorilla troops optimizer based NMF approach for integrative analysis of multiple source data

International Journal of Information Technology

Bhavana Bansal

Anita Sahoo

2022/12

Advancements in Quantum-PSO and Its Application in Sustainable Development

Anita Sahoo

Pratibha Singh

2022

Hybrid Gorilla Troops Optimizer-Based NMF Algorithm for Integrative Data Analysis

Bhavana Bansal

Anita Sahoo

2022/11/10

Intelligent framework with controlled behavior for gene regulatory network reconstruction

International Journal of Information Retrieval Research (IJIRR)

Bhavana Bansal

Aparajita Nanda

Anita Sahoo

2022/1/1

Identification of endometrial tuberculosis in infertility using Non-Subsampled Contourlet based convolution neural network

Expert Systems with Applications

Varsha Garg

Anita Sahoo

Vikas Saxena

2022/9/15

A cognitive approach to endometrial tuberculosis identification using hierarchical deep fusion method

Soft Computing

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/11/5

Fusion Framework for Morphological and Multispectral Textural Features for Identification of Endometrial Tuberculosis

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/8/5

Enhanced textural analysis for endometrial tuberculosis identification from ultrasound images

International Journal of Information Technology

Varsha Garg

Anita Sahoo

Vikas Saxena

2021/4

Identification of female genital tuberculosis in infertility using textural features

International Journal of Swarm Intelligence

Varsha Garg

Anita Sahoo

Vikas Saxena

2021

Gradient Local Auto Correlation Co-occurrence Machine Learning Model for Endometrial Tuberculosis Identification

Varsha Garg

Anita Sahoo

Vikas Saxena

2021

Issuesand Strategies for Modeling Gene Regulatory Networks

Bhavana Bansal

Aparajita Nanda

Anita Sahoo

2020/2/19

See List of Professors in Dr. Anita Sahoo University(Jaypee Institute of Information Technology)