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Quan Quan, Zhongqiang Zhang • Journal of Mathematics
(2022)
With the rapid development of economy and information technology, traditional manufacturing industry is facing severe challenges. Enterprises need to rectify the traditional manufacturing industry and realize the transformation from traditi...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/8572424
Ikram Jennane, Yousef Farhaoui, Mohamed Khalifa Boutahir • Energies
(2026)
This study investigates multi-horizon forecasting of solar-based green hydrogen (H2) production in Southern Morocco (Dakhla: 23.7° N, 15.9° W; Laâyoune: 27.2° N, 13.2° W; and Guelmim: 29.0° N, 10.1° W) using daily meteorological time series...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/en19173984
Heming Jia, Marjan Kordani, Iman Ahmadianfar, Arvin Samadi Koucheksaraee et al. • Engineering Applications of Computational Fluid Mechanics
(2026)
Precise forecasting of water quality indices (WQI) is essential for safeguarding ecosystems, human health, and sustainable water resource management. This study presents an innovative approach for evaluating river Water Quality Indices usin...
DOAJ
Open Access (DOAJ)
DOI: 10.1080/19942060.2025.2602582
Y. Y. Abdullahi, A. S. Nur, A. Sale • Journal of Applied Sciences and Environmental Management
(2025)
Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed. Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest...
DOAJ
Open Access (DOAJ)
Sarah M. Alghamdi, Paul N. Schofield, Robert Hoehndorf • Disease Models & Mechanisms
(2022)
Computing phenotypic similarity helps identify new disease genes and diagnose rare diseases. Genotype–phenotype data from orthologous genes in model organisms can compensate for lack of human data and increase genome coverage. In the past d...
DOAJ
Open Access (DOAJ)
DOI: 10.1242/dmm.049441
Mazen Kadhim Shekedl, Farhad Salimi, Neda Azimi • Journal of Renewable Energy and Environment
(2026)
The efficiency of bio-oil production from municipal solid waste was investigated using microwave-assisted pyrolysis. The effects of temperature, pyrolysis time, and microwave power on bio-oil yield were evaluated using Response Surface Meth...
DOAJ
Open Access (DOAJ)
DOI: 10.30501/jree.2026.563599.2716
M. Graça Pereira, Martim Santos, Renata Magalhães, Cláudia Rodrigues et al. • Behavioral Sciences
(2025)
University students are at increased risk of developing burnout and psychological distress from high academic workloads and performance expectations. The purpose of this study is to analyze the relationship between psychological and lifesty...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bs15040505
Mikhail Ivanenko, Damian Wanta, Waldemar T. Smolik, Przemysław Wróblewski et al. • Life
(2024)
This study investigated the potential of machine-learning-based stroke image reconstruction in capacitively coupled electrical impedance tomography. The quality of brain images reconstructed using the adversarial neural network (cGAN) was e...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/life14030419
Danilo Bzdok, Naomi Altman, Martin I. Krzywinski • Nature Methods
(2018)
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Open Access
DOI: https://doi.org/10.1038/nmeth.4642
PMC: 6082636
Geoffrey Holmes, A. Donkin, Ian H. Witten • Australian and New Zealand Intelligent Information Systems Conference (ANZIIS)
(2002)
WEKA is a workbench for machine learning that is intended to aid in the application of machine learning techniques to a variety of real-world problems, in particular, those arising from agricultural and horticultural domains. Unlike other m...
OPENALEX
DOI: https://doi.org/10.1109/anziis.1994.396988
Sumeet Dua, Xian Du • Auerbach Publications eBooks
(2011)
With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research to...
OPENALEX
DOI: https://doi.org/10.1201/b10867
Daniele Ucci, Leonardo Aniello, Roberto Baldoni • Computers & Security
(2018)
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Open Access
DOI: https://doi.org/10.1016/j.cose.2018.11.001
George Em Karniadakis, Ioannis G. Kevrekidis, Lu Lu, Paris G. Perdikaris et al. • Nature Reviews Physics
(2021)
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Open Access
DOI: https://doi.org/10.1038/s42254-021-00314-5
Rodrigo Fernandes de Mello, Moacir Antonelli Ponti • Springer eBooks
(2018)
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DOI: https://doi.org/10.1007/978-3-319-94989-5
Ricardo Vinuesa, Steven L. Brunton • Nature Computational Science
(2022)
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Open Access
DOI: https://doi.org/10.1038/s43588-022-00264-7
Mengnan Du, Ninghao Liu, Xia Hu • Communications of the ACM
(2019)
Uncovering the mysterious ways machine learning models make decisions....
OPENALEX
Open Access
DOI: https://doi.org/10.1145/3359786
Grace W. Lindsay • Frontiers in Computational Neuroscience
(2020)
Attention is the important ability to flexibly control limited computational resources. It has been studied in conjunction with many other topics in neuroscience and psychology including awareness, vigilance, saliency, executive control, an...
OPENALEX
cc-by
DOI: https://doi.org/10.3389/fncom.2020.00029
PMC: 7177153
Christine Preisach, Hans Burkhardt, Lars Schmidt-Thieme, Reinhold Decker • Studies in classification, data analysis, and knowledge organization
(2008)
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DOI: https://doi.org/10.1007/978-3-540-78246-9
Patrick Doupé, James H. Faghmous, Sanjay Basu • Value in Health
(2019)
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Open Access
DOI: https://doi.org/10.1016/j.jval.2019.02.012
Dipanjan Sarkar, Raghav Bali, Tushar Sharma • Apress eBooks
(2017)
This book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, desi...
OPENALEX
DOI: https://doi.org/10.1007/978-1-4842-3207-1