Zobrazeno 1 - 10
of 2 794
pro vyhledávání: '"Convolution Neural Networks"'
Autor:
Wenwen ZHANG, Yadong HU, Wenke SUN, Mingxuan PAN, Zhaopeng SHEN, Xinghu ZHOU, Jin QIAN, Peng WANG
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 21, Pp 190-197 (2024)
In order to explore the feasibility of combining near-infrared (NIR) spectroscopy and deep learning network for quantitative moisture detection, the dried Porphyra was divided into 479 groups, which detected the NIR spectra and moisture content. Four
Externí odkaz:
https://doaj.org/article/86ea1f4844e14a43b4dd8f31ed9dcc63
Autor:
Sallama Adhab Resen
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 843-848 (2024)
Intelligent systems demand interaction with a variety of complex environments. For example, a robot might need to interact with complicated geometric structures in an environment. Accurate geometric reasoning is required to define the objects navig
Externí odkaz:
https://doaj.org/article/3f4aaf0d8df44dcd86cfd0c3b14f5daf
Autor:
Ritesh Maurya, Satyajit Mahapatra, Malay Kishore Dutta, Vibhav Prakash Singh, Mohan Karnati, Geet Sahu, Nageshwar Nath Pandey
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Skin cancer is a lethal disease, and its early detection plays a pivotal role in preventing its spread to other body organs and tissues. Artificial Intelligence (AI)-based automated methods can play a significant role in its early detection.
Externí odkaz:
https://doaj.org/article/aa6d0a5e4df148d9987abd875de1fcff
Autor:
Suneetha Madduluri, T. Kishore Kumar
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Many societal institutions have increased standards for the efficacy and dependability of identification systems in response to the ever-increasing sophistication of computer technology. Biometric identity systems have mostly supplanted the
Externí odkaz:
https://doaj.org/article/db7171f54fff48eba2eb2872ea52c738
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 2, Pp 172-186 (2024)
As an important research topic in recent years, semantic segmentation has been widely applied to image understanding problems in various fields. With the successful application of deep learning methods in machine vision, the superior performance has
Externí odkaz:
https://doaj.org/article/4885a77424ab491d9a0946989c5dc085
Publikováno v:
Earth and Space Science, Vol 11, Iss 10, Pp n/a-n/a (2024)
Abstract Typical ionosondes operate with >5 min time intervals, which is enough to obtain regular parameters of the ionosphere, but insufficient to observe short‐term processes in the Earth's ionosphere. The key point for this study is to increase
Externí odkaz:
https://doaj.org/article/01473c43816a42168a83c11ac9cecda8
Autor:
Pradnya Moon, Ganesh Yenurkar, Vincent O. Nyangaresi, Ayush Raut, Nikhil Dapkekar, Jay Rathod, Piyush Dabare
Publikováno v:
Engineering Reports, Vol 6, Iss 10, Pp n/a-n/a (2024)
Abstract The biggest challenge the deaf and dumb group faces is that individuals around them do not understand sign language, which they use to communicate with one another. Written communication is slower than face‐to‐face contact, despite the f
Externí odkaz:
https://doaj.org/article/8831fae608304f6fab5ab0f9c5d2187e
Autor:
K. Nishanth Rao, Osamah Ibrahim Khalaf, V. Krishnasree, Aruru Sai Kumar, Deema Mohammed Alsekait, S. Siva Priyanka, Ahmed Saleh Alattas, Diaa Salama AbdElminaam
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36773- (2024)
In cases of brain tumors, some brain cells experience abnormal and rapid growth, leading to the development of tumors. Brain tumors represent a significant source of illness affecting the brain. Magnetic Resonance Imaging (MRI) stands as a well-estab
Externí odkaz:
https://doaj.org/article/b39a0411e5eb4004bdac8d04213a06fd
Autor:
Mazleenda Mazni, Abdul Rashid Husain, Mohd Ibrahim Shapiai, Izni Syahrizal Ibrahim, Devi Willieam Anggara, Riyadh Zulkifli
Publikováno v:
Alexandria Engineering Journal, Vol 92, Iss , Pp 310-320 (2024)
This study introduces a pioneering system for real-time classification and measurement of concrete surface cracks, a crucial aspect of Structural Health Monitoring (SHM). We harness the power of transfer learning (TL) in Convolutional Neural Networks
Externí odkaz:
https://doaj.org/article/c7bc2719435c41fea5cffb593c4d6e8c
Publikováno v:
Geoderma, Vol 448, Iss , Pp 116954- (2024)
Soil’s pivotal role in environmental and agricultural processes underscores the importance of accurate soil property predictions for informed decisions and sustainable land management. Spectroscopic techniques, particularly mid-infrared (MIR) spect
Externí odkaz:
https://doaj.org/article/ba3c10fd2b034b25a3b5df5e3b8151a3