Zobrazeno 1 - 10
of 102
pro vyhledávání: '"machine learning and artificial"'
In the hydrology field, time series forecasting is crucial for efficient water resource management, improving flood and drought control and increasing the safety and quality of life for the general population. However, predicting long-term streamflow
Externí odkaz:
http://arxiv.org/abs/2312.08763
Autor:
Lukasik, Michal, Nagarajan, Vaishnavh, Rawat, Ankit Singh, Menon, Aditya Krishna, Kumar, Sanjiv
The success of modern neural networks has prompted study of the connection between memorisation and generalisation: overparameterised models generalise well, despite being able to perfectly fit (memorise) completely random labels. To carefully study
Externí odkaz:
http://arxiv.org/abs/2310.05337
Autor:
Dhruv Gopalakrishnan, Luca Dellantonio, Antonio Di Pilato, Wahid Redjeb, Felice Pantaleo, Michele Mosca
Publikováno v:
Frontiers in Quantum Science and Technology, Vol 3 (2024)
Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has become apparent that they face challenges stemming
Externí odkaz:
https://doaj.org/article/12c561943653444f813450045d17ae83
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102773- (2024)
Load forecasting is a crucial task, which is carried out by utility companies for sake of power grids' successful planning, optimized operation and control, enhanced performance, and guaranteed reliability and adequacy. It mainly reduces the gap betw
Externí odkaz:
https://doaj.org/article/c3bd7c5b56114a9892aedf03dacb7dec
Publikováno v:
International Journal of Organizational Analysis, 2023, Vol. 32, Issue 4, pp. 681-701.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOA-01-2023-3581
Autor:
A. D. Baydalin
Publikováno v:
Вестник Дагестанского государственного технического университета: Технические науки, Vol 50, Iss 4, Pp 51-58 (2024)
Objective. The aim of the study is to implement and evaluate the optimization method based on the Markowitz portfolio theory. Method. The model is built using the Python programming language and the necessary libraries. Also, to solve the problem, th
Externí odkaz:
https://doaj.org/article/c836c23c95ad4709bf355fc978766d29
Autor:
Oluwabunmi Ogungbe, Chris T. Longenecker, Andrea Beaton, Sarah de Loizaga, Luisa Campos Caldeira Brant, Ruth‐Alma N. Turkson Ocran, Pouya Bastani, Fred Stephen Sarfo, Yvonne Commodore‐Mensah
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 2 (2024)
Cardiovascular diseases (CVDs) remain the leading cause of death and disability worldwide. Digital health technologies are important public health interventions for addressing the burden of cardiovascular disease. In this article, we discuss the impo
Externí odkaz:
https://doaj.org/article/e11b75867a3a487dae401b3552b2aedc
Publikováno v:
Frontiers in Surgery, Vol 10 (2023)
Externí odkaz:
https://doaj.org/article/e2d6054960864fb2a578a47595db29a3
Autor:
Sarfaraz K. Niazi, Zamara Mariam
Publikováno v:
Pharmaceuticals, Vol 17, Iss 1, p 22 (2023)
In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transformative force, bridging the realms of biology and technology. This paper overviews CADDs historical evolution, categorization into structure-based and l
Externí odkaz:
https://doaj.org/article/5b19b93e84184eefbf12d7eff5f6f848