Neural Behavior Chain Learning of Mobile Robot Actions by Lejla Banjanovic-Mehmedovic, Dzenisan Golic, Fahrudin Mehmedovic, Jasna Havic

“…This paper presents a visual/motor behavior learning approach, based on neural networks. We propose Behavior Chain Model (BCM) in order to create a way of behavior learning. …”
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EFFECTIVENESS OF MOBILE LEARNING IN NARRATIVE WRITING AT SECONDARY SCHOOLS by Raganeswari Ramasamy, Mariam Mohamad, Mageswaran Sanmugam, Chee Mei Hooi

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Analysis of students discipline on the learning process at elementary school by Roza Angita, Yuli Witanto

“…If these various problems are left unchecked, they will interfere with the student learning process and have an impact on their learning achievement. …”
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Machine learning approaches to Landsat change detection analysis by Galen Richardson, Anders Knudby, Morgan A. Crowley, Michael Sawada, Wenjun Chen

“…When monitoring Earth’s surface change using Landsat data and machine learning, it is essential to consider the implications of the size of the study area, specifics of the machine learning model, and image temporal density. …”
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Geometric quantum machine learning with horizontal quantum gates by Roeland Wiersema, Alexander F. Kemper, Bojko N. Bakalov, Nathan Killoran

“…In the current framework of geometric quantum machine learning, the canonical method for constructing a variational ansatz that respects the symmetry of some group action is by forcing the circuit to be equivariant, i.e., to commute with the action of the group. …”
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TDMA-based user scheduling policies for federated learning by Meixia TAO, Dong WANG, Rui SUN, Naifu ZHANG

Subjects: “…federated learning…”
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Federated learning optimization algorithm based on incentive mechanism by Youliang TIAN, Shihong WU, Ta LI, Lindong WANG, Hua ZHOU

Subjects: “…federated learning…”
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Organizational Learning in the Hotel Industry: an eclectic instrument of measurement by Adriana L. Fernandes, Raul M. S. Laureano, Bráulio Alturas

Subjects: “…organizational learning…”
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A guide for active learning in synergistic drug discovery by Shuhui Wang, Alexandre Allauzen, Philippe Nghe, Vaitea Opuu

“…Active learning, which integrates experimental testing into the learning process, has been proposed to address this challenge. …”
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Machine learning potential predictor of idiopathic pulmonary fibrosis by Chenchun Ding, Quan Liao, Renjie Zuo, Shichao Zhang, Zhenzhen Guo, Junjie He, Ziwei Ye, Weibin Chen, Sunkui Ke

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Graph Deep Active Learning Framework for Data Deduplication by Huan Cao, Shengdong Du, Jie Hu, Yan Yang, Shi-Jinn Horng, Tianrui Li

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Machine Learning Methods for Weather Forecasting: A Survey by Huijun Zhang, Yaxin Liu, Chongyu Zhang, Ningyun Li

Subjects: “…machine learning…”
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Cleanup Sketched Drawings: Deep Learning-Based Model by Amal Ahmed Hasan Mohammed, Jiazhou Chen

“…This paper demonstrates the efficiency and effectiveness of using deep learning in cleaning and improving the roughly drawn image in an automatic way. …”
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Survey of research on application of heuristic algorithm in machine learning by Yanping SHEN, Kangfeng ZHENG, Chunhua WU, Yixian YANG

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Application of Extreme Learning Machine Algorithm for Drought Forecasting by Muhammad Ahmad Raza, Mohammed M. A. Almazah, Zulfiqar Ali, Ijaz Hussain, Fuad S. Al-Duais

“…This research has inferred the implication and the appropriateness of the extreme learning machine (ELM) algorithm for drought forecasting. …”
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IMPLEMENTATION OF EDUCATIONAL PROGRAMS USING DISTANCE LEARNING TECHNOLOGIES by Nadezda V. Shestak, Natilia M. Podzolkova

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The Coming Coronavirus Crisis: What Can We Learn? by Matteo Lucchese, Mario Pianta

“…What are some of the lessons that can be learned? This article argues that health is a global public good. …”
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Knowledge triple extraction in cybersecurity with adversarial active learning by Tao LI, Yuanbo GUO, Ankang JU

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Improving online learning through student stress evaluation by Elty Sarvia, Christina Wirawan, Meilena Kristianti, Zukhruf Ramadhani

Subjects: “…online learning…”
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Adaptive clustering federated learning via similarity acceleration by Suxia ZHU, Binke GU, Guanglu SUN

Subjects: “…federated learning…”
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