most citedPresent and Future of AI in Renewable Energy Domain : A Comprehensive Survey

6 citations · 10 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2025★ 1 cited

A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning

Sarwar Saif, Md Jahirul Islam, Md. Zihad Bin Jahangir +4

The arrival of Machine Learning (ML) completely changed how we can unlock valuable information from data. Traditional methods, where everything was stored in one place, had big pro…

cs.CV2025

Fall Detection from Indoor Videos using MediaPipe and Handcrafted Feature

Fatima Ahmed, Parag Biswas, Abdur Rashid +1

Falls are a common cause of fatal injuries and hospitalization. However, having fall detection on person, in particular for senior citizens can prove to be critical. Presently,ther…

cs.LG2025

Principles and Components of Federated Learning Architectures

MD Abdullah Al Nasim, Fatema Tuj Johura Soshi, Parag Biswas +4

Federated Learning (FL) is a machine learning framework where multiple clients, from mobiles to enterprises, collaboratively construct a model under the orchestration of a central…

cs.LG2025★ 1 cited

An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies

Parag Biswas, Abdur Rashid, abdullah al masum +4

Energy management decreases energy expenditures and consumption while simultaneously increasing energy efficiency, reducing carbon emissions, and enhancing operational performance.…

cs.AI2024★ 1 cited

Power Plays: Unleashing Machine Learning Magic in Smart Grids

Abdur Rashid, Parag Biswas, abdullah al masum +2

The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks.…

cs.AI2024

Trustworthy XAI and Application

MD Abdullah Al Nasim, A. S. M Anas Ferdous, Abdur Rashid +4

Artificial Intelligence (AI) is an important part of our everyday lives. We use it in self-driving cars and smartphone assistants. People often call it a "black box" because its co…

cs.CR2024★ 1 cited

Securing the Diagnosis of Medical Imaging: An In-depth Analysis of AI-Resistant Attacks

Md Abdullah Al Nasim, Parag Biswas, Abdur Rashid +4

Machine learning (ML) is a rapidly developing area of medicine that uses significant resources to apply computer science and statistics to medical issues. ML's proponents laud its…

cs.AI2024

AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey

Parag Biswas, Abdur Rashid, Angona Biswas +3

Reduced environmental effect, lower operating costs, and a stable and sustainable energy supply for current and future generations are the main reasons why power optimization is im…

cs.LG2024★ 6 cited

Present and Future of AI in Renewable Energy Domain : A Comprehensive Survey

Abdur Rashid, Parag Biswas, Angona Biswas +3

Artificial intelligence (AI) has become a crucial instrument for streamlining processes in various industries, including electrical power systems, as a result of recent digitalizat…