Zobrazeno 1 - 10
of 2 856
pro vyhledávání: '"Convolution Neural Networks"'
Neuro-Fuzzy Logic for Automatic Animation Scene Generation in Movie Arts in Digital Media Technology
Autor:
Liu Peng
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-15 (2024)
Abstract Animation scene generation (ASG) is the best digital media tool for lifelike scenes, particularly for movies. Traditional animation methods are laborious, computationally intensive, and scalable. Thus, this work addresses animation productio
Externí odkaz:
https://doaj.org/article/e983da212b4a493989dc3d23a7dcc23b
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Iss 4, Pp 1879-1888 (2024)
Among all new cancer cases diagnosed, breast cancer has been leading in count, followed by prostate and lung cancer. Breast cancer also has the highest chances of getting cured, if it gets early diagnosis, thus increasing the lives of not only women
Externí odkaz:
https://doaj.org/article/47332dc8f1244549b3f9f9bb780d1e21
Publikováno v:
Fatigue of Aircraft Structures, Vol 2023, Iss 15, Pp 183-200 (2024)
Accurate prediction of Remaining Useful Life (RUL) is crucial for Prognostics and Health Management (PHM), particularly in predictive maintenance strategies aimed at ensuring the reliability of industrial systems. This study compares two approaches f
Externí odkaz:
https://doaj.org/article/5c38220c679640f4b5f46b42e756bba3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Detecting glucose levels is crucial for diabetes patients as it enables timely and effective management, preventing complications and promoting overall health. In this endeavor, we have designed a novel, affordable point-of-care diagnostic d
Externí odkaz:
https://doaj.org/article/04d2541e49af41e3b9df9dbdd2206f11
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
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:
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