Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems by Daulet Magzymov, Meruyert Makhatova, Zhassulan Dairov, Murat Syzdykov

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Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes by Hamzah Abdel-Aziz, Xenofon Koutsoukos

“…In this paper, we introduce an online model learning methodology to identify a nonparametric dynamical model for buildings when the thermal load is latent (i.e., the thermal load cannot be measured). …”
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Examining changes in foreign language educators’ attitudes towards the use of computer-assisted learning by Tamara Oshchepkova, Olesya M. Tolstykh, Ekaterina V. Panasenko, Natalia A. Nazarova, Natalia V. Petrova

“…However, what originally started as integrating multimedia resources into the learning environment soon escalated into a comprehensive transformation, which included innovations such as online platforms and adaptive learning systems that became part of language teaching curricula. …”
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Learning by doing y rendimiento académico en estudiantes de Administración de Empresas by Oriana Cortés Bracho, Libnazaret Betancourt Rodriguez, Jorge Mejía Turizo, Adelaida del Carmen Ojeda Beltrán

“…Objetivo: analizar como la metodología Learning by Doing se relaciona en el rendimiento académico en estudiantes de administración de empresas. …”
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Learner support in a distributed learning environment:the use of WWW-based teachware packages by Christian Langenbach, Freimut Bodendorf

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Jonathan C. KAMKHAJI, Policy learning and the Euro. The EU's responses to the sovereign debt crisis by Bishoy L. Zaki

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Learning to Be a Father: How Do We Do It? Isn't there a Manual Somewhere? by Garett D. Evans, Kate Fogarty

“… Learning to be a good father is not for wimps. It takes time, energy, interest, and responsibility. …”
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Multiagent Reinforcement Learning-Based Taxi Predispatching Model to Balance Taxi Supply and Demand by Yongjian Yang, Xintao Wang, Yuanbo Xu, Qiuyang Huang

“…To solve this problem, we propose a Multiagent Reinforcement Learning- (MARL-) based taxi predispatching model through analyzing the running data of 13,000 taxis. …”
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Graph-to-sequence deep reinforcement learning based complex task deployment strategy in MEC by Zhuo CHEN, Mintao CAO, Zhiyuan ZHOU, Xin HUANG, Yan LI

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Online technologies for language learning and teaching: innovations, practices and perceptions from students and teachers by Ma Qing, Wang Lixun

“…Journal of China Computer-Assisted Language Learning…”
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NMDA Receptor Subunits Change after Synaptic Plasticity Induction and Learning and Memory Acquisition by María Verónica Baez, Magalí Cecilia Cercato, Diana Alicia Jerusalinsky

“…NMDA ionotropic glutamate receptors (NMDARs) are crucial in activity-dependent synaptic changes and in learning and memory. NMDARs are composed of two GluN1 essential subunits and two regulatory subunits which define their pharmacological and physiological profile. …”
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Predicting the Adsorption Efficiency Using Machine Learning Framework on a Carbon-Activated Nanomaterial by Kalapala Prasad, V. Ravi Kumar, R. Suresh Kumar, A. S. Rajesh, Anjani Kumar Rai, Essam A. Al-Ammar, Saikh Mohammad Wabaidur, Amjad Iqbal, Dawit Kefyalew

“…Thus, by using machine learning framework, the adsorption efficiency of paracetamol on a carbon-activated nanomaterial was predicted.…”
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Comparison and Supervised Learning of Segmentation Methods Dedicated to Specular Microscope Images of Corneal Endothelium by Yann Gavet, Jean-Charles Pinoli

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Building Resilience in Rural STEM Teachers Through a Noyce Professional Learning Community by Sharon S. Vestal, Robert S. Burke, Larry M. Browning, Laura Hasselquist, Patrick D. Hales, Matthew L. Miller, Madhav P. Nepal, P. Troy White

Subjects: “…professional learning community…”
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A New Approach to Estimate Concentration Levels with Filtered Neural Nets for Online Learning by Woodo Lee, Junhyoung Oh, Jaekwoun Shim

“…However, the concentration level is lowered in the online learning class, and the student’s learning rate decreases. …”
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Evaluation of the ABC pathway in patients with atrial fibrillation: A machine learning cluster analysis by Jingyang Wang, Haiyang Bian, Jiangshan Tan, Jun Zhu, Lulu Wang, Wei Xu, Lei Wei, Xuegong Zhang, Yanmin Yang

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Towards Transparent AI in Medicine: ECG-Based Arrhythmia Detection with Explainable Deep Learning by Oleksii Kovalchuk, Oleksandr Barmak, Pavlo Radiuk, Liliana Klymenko, Iurii Krak

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Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis by Jun He, Xiang Li, Yong Chen, Danfeng Chen, Jing Guo, Yan Zhou

“…To solve the problem, we propose a deep transfer learning method based on 1D-CNN for rolling bearing fault diagnosis. …”
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HOW GENERATIVE AI AUTONOMOUS AGENTS SHAPE THE CURRENT BUSINESS TRENDS AND SMART LEARNING by Josef Daněk, Jan Pospíšil

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Less Is More: Machine Learning-Based Shortened Sleep Questionnaires for Efficient Clinical Practice by Eui Min Jeong, Jae Kyoung Kim

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