Zobrazeno 1 - 10
of 1 110
pro vyhledávání: '"Angona, A."'
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
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:
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
Autor:
Biswas, Angona, Nasim, MD Abdullah Al, Imran, Al, Sejuty, Anika Tabassum, Fairooz, Fabliha, Puppala, Sai, Talukder, Sajedul
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 employing a generator network to create new data samples that are the
Externí odkaz:
http://arxiv.org/abs/2306.02019
Autor:
Biswas, Angona, Nasim, MD Abdullah Al, Ali, Md Shahin, Hossain, Ismail, Ullah, Md Azim, Talukder, Sajedul
The development of medical science greatly depends on the increased utilization of machine learning algorithms. By incorporating machine learning, the medical imaging field can significantly improve in terms of the speed and accuracy of the diagnosti
Externí odkaz:
http://arxiv.org/abs/2306.01827
Autor:
Soto-Angona, Óscar, Fortea, Adriana, Fortea, Lydia, Martínez-Ramírez, María, Santamarina, Estevo, López, Francisco José Gil, Knudsen, Gite Moos, Ona, Genís
Publikováno v:
In European Neuropsychopharmacology August 2024 85:35-42
