Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Nasim, Md Abdullah Al"'
One of today's most significant and transformative technologies is the rapidly developing field of artificial intelligence (AI). Deined as a computer system that simulates human cognitive processes, AI is present in many aspects of our daily lives, f
Externí odkaz:
http://arxiv.org/abs/2410.17139
The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks. By adding advanced data analytics, these systems can better manage th
Externí odkaz:
http://arxiv.org/abs/2410.15423
Autor:
Jahangir, Md. Zihad Bin, Akter, Sumaiya, Nasim, MD Abdullah Al, Gupta, Kishor Datta, George, Roy
Wounds, such as foot ulcers, pressure ulcers, leg ulcers, and infected wounds, come up with substantial problems for healthcare professionals. Prompt and accurate segmentation is crucial for effective treatment. However, contemporary methods need an
Externí odkaz:
http://arxiv.org/abs/2408.11064
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 capacity to handle vast, complicated, and erratic medical data. It's c
Externí odkaz:
http://arxiv.org/abs/2408.00348
Autor:
Rashid, Abdur, Biswas, Parag, Biswas, Angona, Nasim, MD Abdullah Al, Gupta, Kishor Datta, George, Roy
Artificial intelligence (AI) has become a crucial instrument for streamlining processes in various industries, including electrical power systems, as a result of recent digitalization. Algorithms for artificial intelligence are data-driven models tha
Externí odkaz:
http://arxiv.org/abs/2406.16965
Autor:
Biswas, Parag, Rashid, Abdur, Biswas, Angona, Nasim, Md Abdullah Al, Gupta, Kishor Datta, George, Roy
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 important. Power optimization makes ensuring that energy is used more ef
Externí odkaz:
http://arxiv.org/abs/2406.15732
Autor:
Huda, Nafisa Labiba Ishrat, Biswas, Angona, Nasim, MD Abdullah Al, Rahman, Md. Fahim, Ahmed, Shoaib
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 to solve a variety of problems in medical sector. Medical images are
Externí odkaz:
http://arxiv.org/abs/2307.04771
Autor:
Bhuiyan, Mosabbir, Nasim, MD Abdullah Al, Saif, Sarwar, Gupta, Kishor Datta, Alam, Md Jahangir, Talukder, Sajedul
Medical imaging plays an important role in the medical sector in identifying diseases. X-ray, computed tomography (CT) scans, and magnetic resonance imaging (MRI) are a few examples of medical imaging. Most of the time, these imaging techniques are u
Externí odkaz:
http://arxiv.org/abs/2306.06491
Autor:
Jidney, Tasmia Tahmida, Biswas, Angona, Nasim, MD Abdullah Al, Hossain, Ismail, Alam, Md Jahangir, Talukder, Sajedul, Hossain, Mofazzal, Ullah, Md Azim
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 computerized systems can result in improved diagnostic accuracy. An automated m
Externí odkaz:
http://arxiv.org/abs/2306.04750
Autor:
Sarker, Shuvra, Biswas, Angona, Nasim, MD Abdullah Al, Ali, Md Shahin, Puppala, Sai, Talukder, Sajedul
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. These images provide vital information for clinical diagnosis, and in
Externí odkaz:
http://arxiv.org/abs/2306.02055