Zobrazeno 1 - 10
of 5 586
pro vyhledávání: '"Multi-layer perceptron"'
Autor:
Mustapha Marzouglal, Abdelkerim Souahlia, Lakhdar Bessissa, Djillali Mahi, Abdelaziz Rabehi, Yahya Z. Alharthi, Amanuel Kumsa Bojer, Aymen Flah, Mosleh M. Alharthi, Sherif S. M. Ghoneim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Organic photovoltaic (OPV) cells are at the forefront of sustainable energy generation due to their lightness, flexibility, and low production costs. These characteristics make OPVs a promising solution for achieving sustainable development
Externí odkaz:
https://doaj.org/article/bc967b119b97459588903483b5384dfd
Autor:
Alessandro Guazzo, Michele Atzeni, Elena Idi, Isotta Trescato, Erica Tavazzi, Enrico Longato, Umberto Manera, Adriano Chió, Marta Gromicho, Inês Alves, Mamede de Carvalho, Martina Vettoretti, Barbara Di Camillo
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss S4, Pp 1-16 (2024)
Abstract Background Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disease that results in death within a short time span (3-5 years). One of the major challenges in treating ALS is its highly heterogeneous disease progression
Externí odkaz:
https://doaj.org/article/83a5df42901d410fa243fba3e8db20d0
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract This study aims to assess the efficacy of machine learning models in predicting solute concentration (C) distribution in a membrane separation process, using the input parameters which are spatial coordinates. Computational fluid dynamics (C
Externí odkaz:
https://doaj.org/article/6b4a74b8ed10434c99c5a6e99ccfcf61
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 10, Pp 4177-4191 (2024)
The accuracy of landslide susceptibility prediction (LSP) mainly depends on the precision of the landslide spatial position. However, the spatial position error of landslide survey is inevitable, resulting in considerable uncertainties in LSP modelin
Externí odkaz:
https://doaj.org/article/6b749188568245bb9b21322fedcdcbf7
Autor:
Abdullah Alkhammash
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This study investigates simulation of pharmaceutical separation via membrane distillation process by computational simulation and machine learning modeling strategy. The efficacy of three regression models, i.e., Multi-layer Perceptron (MLP)
Externí odkaz:
https://doaj.org/article/19e3976deb494901bc730cce4091b0d5
Publikováno v:
Journal of Information Systems and Informatics, Vol 6, Iss 3, Pp 2022-2036 (2024)
This research proposes an IoT-based system for classifying plant suitability using pH data and soil humidity parameters. The system utilizes Run-Length Encoding (RLE) to compress sensor data, which is transmitted to a database server via the Esp8266
Externí odkaz:
https://doaj.org/article/654a4b1536374a96bec3cb0090a6c010
Autor:
M. S. Gad, H. E. Fawaz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Ecological and environmental problems resulting from fossil fuels are due to the harmful emissions released into the atmosphere. The rising interest in searching for alternative fuels like biodiesel is growing to solve these problems. Waste
Externí odkaz:
https://doaj.org/article/d026c8514c464005933a48b5c06bd735
Autor:
Md Babor Ali, Saleha Jamal
Publikováno v:
Geology, Ecology, and Landscapes, Pp 1-19 (2024)
Urban green spaces, despite their recognized importance for sustainable urban development, face significant challenges to their resilience and viability due to rapid urbanization and various associated pressures. The scientific problem addressed in t
Externí odkaz:
https://doaj.org/article/bc57867da9fd4dd581c861b95f9a7a8f
Autor:
Sang Wouk Cho, Seungjin Baek, Sookyeong Han, Chang Oh Kim, Hyeon Chang Kim, Yumie Rhee, Namki Hong
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 15, Iss 4, Pp 1418-1429 (2024)
Abstract Background Computed tomography (CT) body compositions reflect age‐related metabolic derangements. We aimed to develop a multi‐outcome deep learning model using CT multi‐level body composition parameters to detect metabolic syndrome (MS
Externí odkaz:
https://doaj.org/article/601e9b03f96942e58e5ec31437018b35
Autor:
Sarah Sabeeh
Publikováno v:
Misan Journal of Engineering Sciences, Vol 3, Iss 1, Pp 63-83 (2024)
Classification of sensor data plays a crucial role in different fields, aiding in important tasks like detecting faults, recognizing events and predicting maintenance needs. This research paper thoroughly explores the use of machine learning methods,
Externí odkaz:
https://doaj.org/article/a28e0abb4dd14ccb9c4527257a93242d