Výsledky vyhľadávania - ML: Reinforcement Learning Algorithms*

Systematic literature review on reinforcement learning in non-communicable disease interventions Autor Zhao, Yanfeng, Chaw, Jun Kit, Liu, Lin, Chaw, Sook Hui, Ang, Mei Choo, Ting, Tin Tin

“…) algorithms have been successfully applied to preventing and controlling NCDs. Reinforcement learning (RL…”
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A scoping review of methodologies for applying artificial intelligence to physical activity interventions Autor An, Ruopeng, Shen, Jing, Wang, Junjie, Yang, Yuyi

“…•An increasing trend was observed of adopting state-of-the-art deep learning and reinforcement learning models over standard machine learning…”
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Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy Autor Ji, Yucheng, Fu, Xiaoqian, Ding, Feng, Xu, Yongtao, He, Yang, Ao, Min, Xiao, Fulai, Chen, Dihao, Dey, Poulumi, Qin, Wentao, Xiao, Kui, Ren, Jingli, Kong, Decheng, Li, Xiaogang, Dong, Chaofang

“… Due to the inadequate accuracy of conventional stress-strain machine learning (ML) models caused by corrosion factors, a novel reinforcement self-learning ML algorithm combined with calculated features (accuracy R2 >0.92) is developed…”
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AI-Enabled Traffic Control Prioritization in Software-Defined IoT Networks for Smart Agriculture Autor Masood, Fahad, Khan, Wajid Ullah, Jan, Sana Ullah, Ahmad, Jawad

“… As a solution to this, we offer a novel framework that combines Machine Learning (ML) with a Reinforcement Learning (RL…”
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A machine learning tutorial for spatial auditory display using head-related transfer functions Autor McMullen, Kyla, Wan, Yunhao

“… This work addresses the use of ML techniques such as dimensionality reduction, unsupervised learning, supervised learning, reinforcement learning, and deep learning algorithms…”
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Artificial intelligence and machine learning applications in biopharmaceutical manufacturing Autor Rathore, Anurag S., Nikita, Saxena, Thakur, Garima, Mishra, Somesh

“…–ML algorithms, including multivariate data analysis, artificial neural networks, and reinforcement learning…”
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How are Machine Learning and Artificial Intelligence Used in Digital Behavior Change Interventions? A Scoping Review Autor Bucher, Amy, Blazek, E. Susanne, Symons, Christopher T.

“…To assess the current real-world applications of machine learning (ML) and artificial intelligence (AI…”
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Navigating the evolution of two-dimensional carbon nitride research: integrating machine learning into conventional approaches Autor Mondal, Deep, Datta, Sujoy, Jana, Debnarayan

“… and structural properties. Recent advances in machine learning (ML) have opened new avenues for exploring and optimizing the potential of these materials…”
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Machine Learning in Healthcare Autor Habehh, Hafsa, Gohel, Suril

“… Here we provide a brief overview of machine learning-based approaches and learning algorithms including supervised, unsupervised, and reinforcement learning along with examples…”
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A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management Autor Boroujeni, Sayed Pedram Haeri, Razi, Abolfazl, Khoshdel, Sahand, Afghah, Fatemeh, Coen, Janice L., O’Neill, Leo, Fule, Peter, Watts, Adam, Kokolakis, Nick-Marios T., Vamvoudakis, Kyriakos G.

“…) and deep learning models, has created an unprecedented momentum to implement and develop more effective wildfire management…”
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Emerging Technologies for 6G Communication Networks: Machine Learning Approaches Autor Puspitasari, Annisa Anggun, An, To Truong, Alsharif, Mohammed H., Lee, Byung Moo

“… Therefore, using the ML algorithm and its derivatives…”
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Using Knowledge Graphs and Reinforcement Learning for Malware Analysis Autor Piplai, Aritran, Ranade, Priyanka, Kotal, Anantaa, Mittal, Sudip, Narayanan, Sandeep Nair, Joshi, Anupam

“… Compared to traditional ML algorithms, reinforcement learning does not need a mapping of the input-output space or a specific user-defined metric to compare data points…”
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Machine learning applications in prostate cancer magnetic resonance imaging Autor Cuocolo, Renato, Cipullo, Maria Brunella, Stanzione, Arnaldo, Ugga, Lorenzo, Romeo, Valeria, Radice, Leonardo, Brunetti, Arturo, Imbriaco, Massimo

“…With this review, we aimed to provide a synopsis of recently proposed applications of machine learning (ML…”
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Machine Learning: Algorithms, Real-World Applications and Research Directions Autor Sarker, Iqbal H.

“…), particularly, machine learning (ML) is the key. Various types of machine learning algorithms such as supervised, unsupervised, semi-supervised, and reinforcement learning exist in the area…”
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Machine learning in gastrointestinal surgery Autor Sakamoto, Takashi, Goto, Tadahiro, Fujiogi, Michimasa, Kawarai Lefor, Alan

“… Three subfields of ML are supervised learning, unsupervised learning, and reinforcement learning…”
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A Novel FPGA-Based Circuit Simulator for Accelerating Reinforcement Learning-Based Design of Power Converters Autor Xu, Zhenyu, Yu, Miaoxiang, Cai, Jillian, Yang, Qing, Jeong, Yeonho, Wei, Tao

“… Recent research has shown that machine learning (ML) algorithms, such as reinforcement learning (RL…”
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An overview of artificial intelligence and machine learning in shoulder surgery Autor Cho, Sung-Hyun, Kim, Yang-Soo

“… This review explores the fundamental paradigms of ML, including supervised, unsupervised, and reinforcement learning, alongside key algorithms such as XGBoost, neural networks, and generative adversarial networks…”
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A comprehensive review of machine learning and IoT solutions for demand side energy management, conservation, and resilient operation Autor Elsisi, Mahmoud, Amer, Mohammed, Dababat, Alya’, Su, Chun-Lien

“… Most saving strategies are economically viable where several algorithms can be employed to reduce energy consumption to reduce costs to a considerable extent. Machine learning (ML…”
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Heuristic Algorithms for RIS-Assisted Wireless Networks: Exploring Heuristic-Aided Machine Learning Autor Zhou, Hao, Erol-Kantarci, Melike, Liu, Yuanwei, Poor, H. Vincent

“… Moreover, we combine heuristic algorithms with machine learning (ML), and propose three heuristic-aided ML algorithms…”
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Needs, Pains, and Motivations in Autonomous Agents Autor Starzyk, Janusz A., Graham, James, Puzio, Leszek

“…This paper presents the development of a motivated learning (ML) agent with symbolic I/O…”
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