Integrating Neuroscience and Pedagogical Practices to enhance University Learning by Claudio O. Cervino

“… In recent decades, education has begun to benefit from discoveries in Neuroscience, offering new perspectives to enhance teaching and learning. Neuroeducation, which integrates neurophysiological, psychological, and pedagogical knowledge, allows us to understand learning through brain function and to design strategies tailored to students' cognitive and emotional mechanisms. …”
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Composite Learning Prescribed Performance Control of Nonlinear Systems by Fang Zhu, Wei Xiang, Chunzhi Yang

“…This paper investigates a composite learning prescribed performance control (PPC) scheme for uncertain strict-feedback system. …”
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Mitigating acceptance and resistance in the fatwas on the ruling of learning English by Alharbi Ahlam, Bahammam Lubna, Almansour Tahani

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Artificial intelligence applications in intracerebral hemorrhage care: implications for clinical and nursing practice - a narrative literature review by Seoyoung Kim, Jungmin Lee, Soo-Hyun Nam

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Small-world network properties and cortical responses of Tai Chi Yunshou: Insights from fNIRS by Jin Fan, Ruijun He, Dongling Zhong, Xiaobo Liu, Huan Liu, Zhi Chen, Qinjian Dong, Yuxi Li, Chen Xue, Jiaming Zhang, Cheng Xie, XianJun Xiao, Xiaoshen Hu, Xi Wu, Juan Li, Rongjiang Jin

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Project-Based Activity as a Means of Socio-Emotional Development in Preschool Children by Valeriya A. Plotnikova, Alexander N. Veraksa, Nikolai E. Veraksa, Nataliya S. Nikolaeva

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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

Subjects: “…Functional Magnetic Resonance Imaging…”
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Understanding the Borderline Brain: A Review of Neurobiological Findings in Borderline Personality Disorder (BPD) by Eleni Giannoulis, Christos Nousis, Ioanna-Jonida Sula, Maria-Evangelia Georgitsi, Ioannis Malogiannis

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Detection and tracking of mask wearing based on deep learning by Wang Lin, Nan Gaigai

“…In order to reduce the consumption of a large number of human resources in manual inspection of mask wearing, this paper proposes a method of mask wearing detection and tracking based on deep learning, which is divided into two modules: detection and tracking. …”
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Scaffolding the Flipped Classroom to Enhance Students’ Learning Process by Coyan Tromp

“…However, substantial differences were noted in learning activities and outcomes between attendees and non-attendees, as well as in their valuation of the supportive and activating function of the joint classes. …”
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Deep Learning-Based Dzongkha Handwritten Digit Classification by Yonten Jamtsho, Pema Yangden, Sonam Wangmo, Nima Dema

“…With the advancement in deep learning technology, many machine learning algorithms were developed to tackle the problem of pattern recognition. …”
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Q-Learning Enabled Green Communication in Internet of Things by Mukesh Kumar, Sushil Kumar, Ankita Jaiswal, Pankaj Kumar Kashyap

“…To alleviate the problem of stochastic link quality as channel gain reinforcement based Q-learning energy balanced routing is presented in this paper. …”
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Edge Cloud Resource Scheduling with Deep Reinforcement Learning by Y. Feng, M. Li, J. Li, Y. Yu

“…Moreover, we develop innovative reward functions and concurrent processing mechanisms to minimize training time. …”
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Research on image generation technology based on deep learning by Li Jinchen

“…In the realm of image creation, deep learning stands out as an effective and valuable machine learning technique. …”
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Intercept Guidance of Maneuvering Targets with Deep Reinforcement Learning by Zhe Hu, Liang Xiao, Jun Guan, Wenjun Yi, Hongqiao Yin

“…In this paper, a novel guidance law based on a reinforcement learning (RL) algorithm is presented to deal with the maneuvering target interception problem using a deep deterministic policy gradient descent neural network. …”
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Smart Learning Development Model of Indonesian Higher Education by Sudrajat Jajat, Samyono Widodo

“…The research method used in this study is the Research and Development (R&D) method through a case study of the intelligent learning process in the Entrepreneurship Study Program, Bina Nusantara University (Binus). …”
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Machine Learning-Based Weld Classification for Quality Monitoring by Rojan Ghimire, Rajiv Selvam

“…The softmax activation function is employed in the output layer to categorize the input into the six weld categories. …”
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Analysis of Financial Reports in Companies Using Machine Learning by Piven Artem

“…The article aims to develop new algorithms for the automated analysis of financial reports based on machine learning algorithms, which increase the efficiency and accuracy of converting financial information into a text form. …”
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Forecasting renewable energy for microgrids using machine learning by Piyumi Sudasinghe, Damayanthi Herath, Isiwara Karunarathne, Hansani Weeratunge, Lahiru Jayasuriya

“…Abstract Microgrids, comprised of interconnected loads and distributed energy resources, function as single controllable entities with respect to the main grid. …”
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Double machine learning and design in batch adaptive experiments by Li Harrison H., Owen Art B.

“…By extending the framework of double machine learning, we show this rate suffices for our pooled estimator to attain the targeted precision after each batch, as long as nuisance function estimates converge at rate op(N−1⁄4){o}_{p}\left({N}^{-1/4}). …”
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