Forming the Professional Identity of Future Teachers through Service-Learning by I. A. Rudneva, O. A. Kozyreva

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Deep learning-enhanced defects detection for printed circuit boards by Van-Truong Nguyen, Xuan-Thuc Kieu, Duc-Tuan Chu, Xiem HoangVan, Phan Xuan Tan, Tuyen Ngoc Le

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A Motor Learning Oriented, Compliant and Mobile Gait Orthosis by A. Calanca, S. Piazza, P. Fiorini

“…In fact Cerebral Palsy patients usually have weak biofeedback mechanisms and consequently are hardly inclined to learn movements. To achieve this behavior ARGO deploys a torque planning algorithm and a force control system. …”
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Application of Learning Analytics in Higher Education: Datasets, Methods and Tools by Yu. Yu. Dyulicheva

Subjects: “…learning analytics…”
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An Ensemble Based Machine Learning Classification for Automated Glaucoma Detection by Digvijay J. Pawar, Yuvraj K. Kanse, Suhas S. Patil

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PRACTICAL LEARNING: ANALISIS VISUAL PADA KARYA ANAK-ANAK by Dyah Ayu Wiwid Sintowoko, Adrian Permana Zen, Yusep Febrian

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The Construction of Sports Health Management Model Based on Deep Learning by Junniao Meng, Song Wang

“…Deep learning is a new direction in the field of machine learning. …”
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Integrating Inquiry and Learning Community in Teaching Speaking: An Experimental Study by Barep Sarinauli, Sabirin

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Translational Approach to Behavioral Learning: Lessons from Cerebellar Plasticity by Guy Cheron, Bernard Dan, Javier Márquez-Ruiz

“…The high learning capacity of the Purkinje cells specifically controlled by the climbing fiber represents a major element within the feed-forward and feedback loops of the cerebellar cortex. …”
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Motion Objects Segmentation and Shadow Suppressing without Background Learning by Y.-P. Guan

“…An approach to segmenting motion objects and suppressing shadows without background learning has been developed. Since wavelet transformation indicates the position of sharper variation, it is adopted to extract the information contents with the most meaningful features based on two successive video frames only. …”
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Deep learning and explainable AI for classification of potato leaf diseases by Sarah M. Alhammad, Doaa Sami Khafaga, Walaa M. El-hady, Farid M. Samy, Khalid M. Hosny

Subjects: “…deep learning…”
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Machine learning based quantitative pain assessment for the perioperative period by Gayeon Ryu, Jae Moon Choi, Hyeon Seok Seok, Jaehyung Lee, Eun-Kyung Lee, Hangsik Shin, Byung-Moon Choi

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Harmonic Classification with Enhancing Music Using Deep Learning Techniques by Wen Tang, Linlin Gu

“…Technique of machine learning such the convolutional neural network (CNN) will systematically extract the chord sequence to achieve the superiority context model. …”
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Adversarial imitation learning with deep attention network for swarm systems by Yapei Wu, Tao Wang, Tong Liu, Zhicheng Zheng, Demin Xu, Xingguang Peng

Subjects: “…Adversarial imitation learning…”
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Editorial: AI and machine learning application for neurological disorders and diagnosis by Kandala N. V. P. S. Rajesh, Venkata Mani Vakamulla, T. Sunil Kumar

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Wavelet Domain Multidictionary Learning for Single Image Super-Resolution by Xiaomin Wu, Jiulun Fan, Jian Xu, Yanzi Wang

“…Therefore, an algorithm to learn 4 coupled principal component analysis (PCA) dictionaries to describe the relationship between the approximation subband and the detail subbands is proposed in this paper. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

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Hippocampal Regulation of Postsynaptic Density Homer1 by Associative Learning by Nicholas E. Clifton, Darren Cameron, Simon Trent, Lucy H. Sykes, Kerrie L. Thomas, Jeremy Hall

“…The activity-induced expression of short Homer1 isoforms, Homer1a and Ania-3, is thought to be related to processes of learning and memory. However, the precise regulation of Homer1a and Ania-3 with different components of learning has not been investigated. …”
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Learning to Live Through Loss: Helping Children Understand Death by Carolyn S. Wilken

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The philosophical view of learning from existential experiences in childhood Summary by Martins Veide

Subjects: “…learning…”
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