Reinforcement Learning Based Stochastic Shortest Path Finding in Wireless Sensor Networks by Wenwen Xia, Chong Di, Haonan Guo, Shenghong Li

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A Reinforcement Learning Based Approach for Efficient Routing in Multi-FPGA Platforms by Umer Farooq, Habib Mehrez, Najam Ul Hasan

Subjects: “…reinforcement learning…”
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Evaluating the Transformative Impact of Online Education on Medical Student Learning Outcomes [Letter] by Benhissoune A, Abdulqadir A, Shah H

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Predicting Course Grade through Comprehensive Modelling of Students’ Learning Behavioral Pattern by Danial Hooshyar, Yeongwook Yang

“…This study aims to model students’ online learning behavior and accordingly predict their course achievement. …”
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Bearing Fault Classification Using Improved Antlion Optimizer and Extreme Learning Machine by Zhuanzhe Zhao, Yu Zhang, Qiang Ma, Yujian Rui, Guowen Ye, Mengxian Wang, Yongming Liu, Zhen Zhang, Neng Wei, Zhijian Tu

“…Secondly, in order to solve the disadvantage that extreme learning machine (ELM) network is easy to fall into local optimization, this ELALO algorithm is used to initialize the weights and thresholds of its network and to form the new pattern recognition model, ELALO-ELM. …”
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Motor Learning Deficits in a Neonatal Mouse Model of Hypoxic-Ischemic Injury by Maria Marlicz, Weronika Matysik, Emily Zucker, Sarah Lee, Hannah Mulhern, Jennifer Burnsed

“…At p30, we assessed complex motor performance and learning using the accelerating rotarod and complex running wheel tasks. …”
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Modeling the development of e-learning based on instructional leadership: a mixed study by Abolfazl Mansouri kia, Mahmood Safari, Masoomeh Oladian

Subjects: “…learning development…”
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On learning molecular biology in François Gros’ lab in the late 1970s and early 1980s by Minty, Adrian

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UKSSL: Underlying Knowledge Based Semi-Supervised Learning for Medical Image Classification by Zeyu Ren, Xiangyu Kong, Yudong Zhang, Shuihua Wang

Subjects: “…Deep learning…”
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A survey of MRI-based brain tissue segmentation using deep learning by Liang Wu, Shirui Wang, Jun Liu, Lixia Hou, Na Li, Fei Su, Xi Yang, Weizhao Lu, Jianfeng Qiu, Ming Zhang, Li Song

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Development and experimental validation of a machine learning model for the prediction of new antimalarials by Mukul Kore, Dimple Acharya, Lakshya Sharma, Shruthi Sridhar Vembar, Sandeep Sundriyal

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Deep learning based physical layer wireless communication techniques:opportunities and challenges by Guan GUI, Yu WANG, Hao HUANG

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Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

“…Event-based machine learning promises more energy-efficient AI on future neuromorphic hardware. …”
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A Speech Recognition Method Using Competitive and Selective Learning Neural Networks by Hu Guangrui Xu Xiong Yan Yonghong

“…In this paper,a basic principle called the equidistortion principle for vector clustering is theoretically derived by using Gersho’s asymptotic theory,and a new competitive learning algorithm is prorosed with a selection mechanism,called the CLS（Competitive and Selective Learning）algorithm.Because the selection mechanism enables the system to escape from local minima,the proposed algorithm can obtain better performance without a particular initialization procedure.A new neural network algorithm with competitive learning and multiple safe rejection schemes are proposed in the context of parallel,self organizing,hierarchical neural networks（PSHNN）.The input of PSHNN is a subset of the output scores of HMM.The experimental results indicate that the recognition ability of the method based on competitive learning neural network is higher than that of the traditional HMM method.…”
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Efektivitas mindful learning dalam konteks pendidikan di Indonesia (2000-2024) by Ryan Angga Pratama, Adhilla Salsabila Putri Artha, Nurfitri Zainal Abidin

Subjects: “…mindful learning…”
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Innovative Arabic Language Learning: Redefining Language Archetypes Using Artificial Intelligence by Hadid Asfar, Ilya Husna, Yasmadi Yasmadi, Ashabul Khairi, Karmila Suryani, Al Ikhlas, Ade Sri Madona

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Retracted: Machine Learning and Artificial Intelligence in the Food Industry: A Sustainable Approach by Journal of Food Quality

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Online Pedagogical Tutorial Tactics Optimization Using Genetic-Based Reinforcement Learning by Hsuan-Ta Lin, Po-Ming Lee, Tzu-Chien Hsiao

“…Recent research has demonstrated that when the learning contents were controlled so as to be the same, different tutorial tactics would make difference in students’ learning gains. …”
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Method of Evaluating and Predicting Traffic State of Highway Network Based on Deep Learning by Jiayu Liu, Xingju Wang, Yanting Li, Xuejian Kang, Lu Gao

“…The accurate evaluation and prediction of highway network traffic state can provide effective information for travelers and traffic managers. Based on the deep learning theory, this paper proposes an evaluation and prediction model of highway network traffic state, which consists of a Fuzzy C-means (FCM) algorithm-based traffic state partition model, a Long Short-Term Memory (LSTM) algorithm-based traffic state prediction model, and a K-Means algorithm-based traffic state discriminant model. …”
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The Elite Paradigm Driving Australian Aid Policy: Learning to Live With the ‘Cautious Consensus’ by Benjamin Day, Tamas Wells

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