Results 31 to 40 of about 72,837 (301)
Frontiers in OncologyIntroductionThis large case-control study explored the application of machine learning models to identify risk factors for primary invasive incident breast cancer (BC) in the Iranian population. This study serves as a bridge toward improved BC prevention,
Mostafa Dianati-Nasab +9 more
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Energy-Efficient Federated Learning With Resource Allocation for Green IoT Edge Intelligence in B5G
IEEE Access, 2023 An edge intelligence-aided Internet-of-Things (IoT) network has been proposed to accelerate the response of IoT services by deploying edge intelligence near IoT devices.
Adeb Salh +7 more
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Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
Advances in Distributed Computing and Artificial Intelligence Journal, 2018 Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological evolution. , such as natural selection and genetic inheritance.
Zulfiqar ALI +2 more
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Mexican Axolotl Optimization: A Novel Bioinspired Heuristic
Mathematics, 2021 When facing certain problems in science, engineering or technology, it is not enough to find a solution, but it is essential to seek and find the best possible solution through optimization.
Yenny Villuendas-Rey +4 more
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A computational intelligence optimization algorithm based on the behavior of the social-spider
, 2014 Classical optimization methods often face great difficulties while dealing with several engineering applications. Under such conditions, the use of computational intelligence approaches has been recently extended to address challenging real-world ...
Padilla, A. +7 more
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Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source
Hybrid Metaheuristic Algorithm for Optimizing Monogastric Growth Curve (Pigs and Broilers)
AgriEngineering, 2022 Brazil is one of the world’s biggest monogastric producers and exporters (of pig and broiler meat). Farmers need to improve their production planning through the reliability of animal growth forecasts.
Marco Antonio Campos Benvenga +3 more
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Computational intelligence techniques for bioprocess modelling, supervision and control
, 2009 This research book presents the use of computational intelligence paradigms in bioprocess related tasks namely modeling, supervision, monitoring and control, diagnostic, learning and optimization, with applications to several areas. Aimed at researchers,
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Computational Intelligence Application in Electrical Engineering [PDF]
, 2022 The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering.
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