6 citations · 11 across the 9 of their papers we have counts for
9 papers
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.…
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…
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…
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…
Invariant Scattering Transform for Medical Imaging
Nafisa Labiba Ishrat Huda, Angona Biswas, MD Abdullah Al Nasim +2
Invariant scattering transform introduces new area of research that merges the signal processing with deep learning for computer vision. Nowadays, Deep Learning algorithms are able…
AutoML Systems For Medical Imaging
Tasmia Tahmida Jidney, Angona Biswas, MD Abdullah Al Nasim +5
The integration of machine learning in medical image analysis can greatly enhance the quality of healthcare provided by physicians. The combination of human expertise and computeri…
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
Shuvra Sarker, Angona Biswas, MD Abdullah Al Nasim +3
The field of medical imaging is an essential aspect of the medical sciences, involving various forms of radiation to capture images of the internal tissues and organs of the body.…
Generative Adversarial Networks for Data Augmentation
Angona Biswas, MD Abdullah Al Nasim, Al Imran +4
One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation. GANs work by…
Active Learning on Medical Image
Angona Biswas, MD Abdullah Al Nasim, Md Shahin Ali +3
The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can sig…