Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jamin Rahman Jim"'
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100647- (2024)
Unmanned aerial vehicles (UAV), often unmanned aerial systems, are increasingly used in many industries, such as agriculture, forestry, the military, and disaster management. This is because they have the potential to perform tasks remotely without h
Externí odkaz:
https://doaj.org/article/8db53002e48d45e68ad582be48834112
Autor:
Nafiz Ahmed, Anik Kumar Saha, Md. Abdullah Al Noman, Jamin Rahman Jim, M.F. Mridha, Md Mohsin Kabir
Publikováno v:
Natural Language Processing Journal, Vol 9, Iss , Pp 100112- (2024)
Human–Agent Interaction is at the forefront of rapid development, with integrating deep learning techniques into natural language processing representing significant potential. This research addresses the complicated dynamics of Human–Agent Inter
Externí odkaz:
https://doaj.org/article/a70f74614f904b77947cddf74244d5a4
Publikováno v:
Healthcare Analytics, Vol 5, Iss , Pp 100340- (2024)
Data augmentation involves artificially expanding a dataset by applying various transformations to the existing data. Recent developments in deep learning have advanced data augmentation, enabling more complex transformations. Especially vital in the
Externí odkaz:
https://doaj.org/article/60504dd11a3e48d3a485188520293a3f
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110462- (2024)
The “Tea Leaf Age Quality” dataset represents a pioneering agricultural and machine-learning resource to enhance tea leaf classification, detection, and quality prediction based on leaf age. This comprehensive collection includes 2208 raw images
Externí odkaz:
https://doaj.org/article/c978372f10114971af2033614a4de49d
Autor:
Showrov Islam, Md. Tarek Aziz, Hadiur Rahman Nabil, Jamin Rahman Jim, M. F. Mridha, Md. Mohsin Kabir, Nobuyoshi Asai, Jungpil Shin
Publikováno v:
IEEE Access, Vol 12, Pp 35728-35753 (2024)
Generative Adversarial Networks are a class of artificial intelligence algorithms that consist of a generator and a discriminator trained simultaneously through adversarial training. GANs have found crucial applications in various fields, including m
Externí odkaz:
https://doaj.org/article/581d7603f99c4153b909d8112cd5a2c7
Autor:
Md. Eshmam Rayed, S.M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim, Md Mohsin Kabir, M.F. Mridha
Publikováno v:
Informatics in Medicine Unlocked, Vol 47, Iss , Pp 101504- (2024)
Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognitio
Externí odkaz:
https://doaj.org/article/9c292b3c5a85463c99a52f21a991239d
Publikováno v:
IEEE Access, Vol 11, Pp 118318-118347 (2023)
The Metaverse, a transformative digital realm, holds immense promise for reshaping industries and human interactions while potentially addressing global challenges and democratizing opportunities. However, it also introduces a spectrum of complexitie
Externí odkaz:
https://doaj.org/article/ea18effb32ff4700b32b6b5be6afa692