Zobrazeno 1 - 10
of 1 725
pro vyhledávání: '"Neural network models"'
Autor:
Andrey V. Melnikov, Yuri M. Polishchuk, Mikhail A. Rusanov, Valerian R. Abbazov, Gleb A. Kochergin, Matvey A. Kupriyanov, Oksana A. Baisalyamova, Oleg I. Sokolkov
Publikováno v:
Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 806-814 (2024)
The study aimed to improve the efficiency of detecting and mapping felling using satellite imagery, in order to identify violations of environmental regulations. Traditional remote sensing data interpretation methods are labor-intensive and require
Externí odkaz:
https://doaj.org/article/37570a4e247b4bef9b08a82112c265f7
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 36, Pp 4582-4590 (2024)
Background With the aging population, the incidence of pressure injury (PI) is gradually increasing. This not only severely impacts the quality of life for patients but also increases healthcare expenditures. However, the early detection and accurate
Externí odkaz:
https://doaj.org/article/cbd60122a3a344709198a7612376d3c0
Autor:
Varucha Misra, A.K. Mall
Publikováno v:
Crop Design, Vol 3, Iss 4, Pp 100075- (2024)
Sugar beet, a sugar crop, faces a persistent threat from foliar and root diseases, finally leading to substantial yield losses. Traditional methods of disease identification and severity assessment are often time-consuming, error-prone, and impractic
Externí odkaz:
https://doaj.org/article/5370ead1ba9b4e37bcf39fbf96b80587
Autor:
Shahzar Hafeez, Ayesha Ishaq, Azeem Intisar, Tariq Mahmood, Muhammad Imran Din, Ejaz Ahmed, Muhammad Rizwan Tariq, Muhammad Amin Abid
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e37951- (2024)
Numerous harmful phenolic contaminants are discharged into water that pose a serious threat to environment where two of the most important purification methodologies for the mitigation of phenolic contaminants are adsorption and photocatalysis. Besid
Externí odkaz:
https://doaj.org/article/6c263777fd284da68cf354b130fc7116
Publikováno v:
Business Ethics and Leadership, Vol 8, Iss 1, Pp 220-233 (2024)
Maintaining high standards in socio-economic research and achieving leadership positions in scientific circles requires a scientist to have a perfect command of mathematical tools developing accurate forecasts. Traditional forecasting methods typical
Externí odkaz:
https://doaj.org/article/62d41c04044e4321a1de4fefddb1ec8f
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 6, Iss 1, Pp 699-735 (2024)
In this review, we compiled convolutional neural network (CNN) methods which have the potential to automate the manual, costly and error-prone processing of medical images. We attempted to provide a thorough survey of improved architectures, popular
Externí odkaz:
https://doaj.org/article/2a732a765d5e40f19eb48ab3a0139191
Publikováno v:
Applied Mathematics in Science and Engineering, Vol 32, Iss 1 (2024)
ABSTRACTIn this paper, we offer a new modelling approach for hepatitis C virus (HCV) infection models with cytotoxic T lymphocytes (CTL) immune responses. The standard neural network models with reaction-diffusion terms are generalized to the discont
Externí odkaz:
https://doaj.org/article/116c48142a4a44bf981d6b8f36c489a4
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32679- (2024)
The Internet of Things is based on the traditional Internet and its purpose is to achieve information exchange between users and devices, as well as between devices. The rapid development of sensor technology, communication network technology, and co
Externí odkaz:
https://doaj.org/article/bf74a0fd54c2483cac026bbe353ca8cd
Autor:
Elham Ghanbari Adivi, Ali Raeisi
Publikováno v:
آب و فاضلاب, Vol 34, Iss 6, Pp 55-73 (2024)
A reliable simulation of wastewater effluent parameters is important for reducing the operational costs of a wastewater treatment plant. In this study, optimized artificial neural networks and inclusive multiple models are used to predict the effluen
Externí odkaz:
https://doaj.org/article/ec98b375376a4ae384db8866d1181c17