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Research

Self-supervised representation learning and Domain Adaptation
Working with EISLAB, Machine Learning, LuleƄ University of Technology , Sweden on Self-supervised learning & Domain Adaptation. The proposed network mainly focused on building an efficient classification and segmentation architecture for Diabetic Retinopathy Detection, PotHole Detection and Remotely Sensed Satellite Image classification
Modified Dense Convolutional Neural Networks for COVID-19 Prediction from Chest Radiological Examinations
Communicated Work

Biomedical Engineering Letters (BMEL)

Assess and Analyze Covid-19 Immunization Process using Co-win :A Data Science Approach to make India self-reliant and safe

CEUR-WS.org, SysCom 2021

Analysis & Prognosis Of Sustainable Development Goals Using Big Data-Based Approach During COVID-19 Pandemic

Sustainable Technology and Entrepreneurship, Elsevier

Impact And Usability Of Artificial Intelligence In Manufacturing Workflow To Empower Industry 4.0

CEUR-WS.org, SysCom 2021

Influence And Establishment Of Smart Transport In Smart Cities

CEUR-WS.org, SysCom 2021

Predicting Catastrophic Events Using Machine Learning Models For Natural Language Processing

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Role Of Social Media In Covid-19 Pandemic: A Literature Review

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

An Inquisitive Prospect On The Shift Towards Online Form Of Digital Media, Before, During, And After The COVID-19 Pandemic: A Technological Analysis

Advances in Data Computing, Communication and Security, Springer Nature

Deep Learning In Robotics For Strengthening Industry 4.0.: Opportunities, Challenges And Future Directions

Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities, Springer Nature

A Comparative Study Of Generative Adversarial Networks For Text-To-Image Synthesis
Published, IJSSCI: Volume 14, Issue 1, Article 14

International Journal of Software Science and Computational Intelligence

An Investigative Study Into The Impact Of Artificial Intelligence And Internet Of Things In Modern Times And Hereafter

AAP CRC Press, Taylor & Francis Group

The Perspective Of Security And Privacy Models For Fog-Enabled IoT In Smart Cities
Accepted Work

Secure Edge and Fog Computing Enabled AI for IoT and Smart Cities, Springer