Short-term Precipitation Forecast Correction in Beijing-Tianjin-Hebei Region Based on Deep Learning by Wang Yuhong, Kong Dexuan, Zhu Shoupeng, Zhang Nan, Ji Yan, Zhang Shan, Xu Huan

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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

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Machine learning of whole-brain resting-state fMRI signatures for individualized grading of frontal gliomas by Yue Hu, Xin Cao, Hongyi Chen, Daoying Geng, Kun Lv

Subjects: “…Functional connectivity…”
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Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

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Optimal feedback control of dynamical systems via value-function approximation by Kunisch, Karl, Walter, Daniel

“…A self-learning approach for optimal feedback gains for finite-horizon nonlinear continuous time control systems is proposed and analysed. …”
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Cross-domain service chain mapping mechanism based on Q-learning by Hongqi ZHANG, Rui HUANG, Yingjie YANG, Dexian CHANG, Liancheng ZHANG

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Machine learning based multi-parameter droplet optimisation model study by Ting Li, Likun Lu, Qingtao Zeng, Kexin Liao

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Image Classification Model Based on Contrastive Learning With Dynamic Adaptive Loss by Quandeng Gou, Jingxuan Zhou, Zi Li, Fangrui Zhang, Yuheng Ren

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A Multitask Deep Learning Model for Predicting Myocardial Infarction Complications by Fazliddin Makhmudov, Normakhmad Ravshanov, Dilshot Akhmedov, Oleg Pekos, Dilmurod Turimov, Young-Im Cho

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The analysis of generative adversarial network in sports education based on deep learning by Eerdenisuyila Eerdenisuyila, Hongming Li, Wei Chen

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Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

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An Extreme Learning Machine Based on the Mixed Kernel Function of Triangular Kernel and Generalized Hermite Dirichlet Kernel by Senyue Zhang, Wenan Tan

“…According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme learning machine based on a generalized triangle Hermitian kernel function was proposed in this paper. …”
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BeatProfiler: Multimodal In Vitro Analysis of Cardiac Function Enables Machine Learning Classification of Diseases and Drugs by Youngbin Kim, Kunlun Wang, Roberta I. Lock, Trevor R. Nash, Sharon Fleischer, Bryan Z. Wang, Barry M. Fine, Gordana Vunjak-Novakovic

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Machine learning-based compression of quantum many body physics: PCA and autoencoder representation of the vertex function by Jiawei Zang, Matija Medvidović, Dominik Kiese, Domenico Di Sante, Anirvan M Sengupta, Andrew J Millis

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Optimizing the Function of Museums as a Medium for Evaluating History Learning in Supporting Students' Critical Thinking Skills by Rahmawati Rahmawati, Joko Sayono, Indah Wahyu Puji Utami, Ramli Akhmad

“… The use of museums as a medium for evaluating history learning plays a strategic role in improving the quality of the learning process while sharpening students' critical thinking skills. …”
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Terrain Referenced Navigation Using a Multilayer Radial Basis Function-Based Extreme Learning Machine by Jungshin Lee, Changky Sung, Juhyun Oh

“…In this study, a high-precision terrain regression model to fit the DEM is generated using the extreme learning machine technique based on the multilayer radial basis function. …”
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An open-source automated rodent paradigm for forelimb movement in motor control, executive functions, and learning studies by Alavie Mirfathollahi, Mohammad Taghi Ghodrati, Vahid Shalchyan, Mohammad Reza Zarrindast, Mohammad Reza Daliri

“…The system provides customizability and extensibility, rendering it a suitable and cost-effective solution for diverse experiments related to forelimb movement, executive functions, and learning studies. We explored three training strategies and assessed their effectiveness. …”
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Reference Function Based Spatiotemporal Fuzzy Logic Control Design Using Support Vector Regression Learning by Xian-Xia Zhang, Ye Jiang, Shiwei Ma, Bing Wang

“…This paper presents a reference function based 3D FLC design methodology using support vector regression (SVR) learning. …”
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Harnessing the potential of human induced pluripotent stem cells, functional assays and machine learning for neurodevelopmental disorders by Ziqin Yang, Ziqin Yang, Nicole A. Teaney, Nicole A. Teaney, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Elizabeth D. Buttermore, Mustafa Sahin, Mustafa Sahin, Mustafa Sahin, Wardiya Afshar-Saber, Wardiya Afshar-Saber

“…Recent progress in machine learning (ML) algorithms also presents unprecedented opportunities to advance the NDD research process. …”
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Recognition of flight cadets brain functional magnetic resonance imaging data based on machine learning analysis by Lu Ye, Shuhao Weng, Dongfeng Yan, Shan Ma, Xi Chen

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