Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

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INTERNET-BASED APPROACH IN DISTANCE LEARNING OF PARAGRAPH-WRITING COURSE AT STKIP MUHAMMADIYAH BARRU by Siti Hardiyanti Amri

Subjects: “…Distance learning…”
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The learning subject in a medicine career: the medical health care process, the clinical method by Luis Alberto Corona Martínez

“…The present paper is based on the need to incorporate the learning subject category to the professional practitioner model contained in the curriculum of the medicine career. …”
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Performance Prediction of Building Integrated Photovoltaic System Using Hybrid Deep Learning Algorithm by Manivannan Ragupathi, Rengaraj Ramasubbu

“…Here, we demonstrate how to use the multitask learning algorithm to create a multitime scale model for solar BIPV forecasting. …”
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Creativity interwoven into the fabric of learning, an example from a postgraduate nutritional science module by Chrissi Nerantzi, Haleh Moravej, Ioanna Iosifidou, Leticia Nani Silva

“… This paper is a patchwork of reflective accounts linked to the experience of a postgraduate module that was co-designed by a teaching team using creative approaches to learning. The teaching team  provide a rationale for the design and approaches used in this module. …”
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Intensive Cold-Air Invasion Detection and Classification with Deep Learning in Complicated Meteorological Systems by Ming Yang, Hao Ma, Bomin Chen, Guangtao Dong

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The Impact of Technological Pedagogical Content Knowledge (TPACK) on Learning Outcomes: A Bibliometric Review by Marta Florentina Simangunsong, Ikaputera Waspada, Rasto Rasto, Ilham Muhammad, Fadli Agus Triansyah, Ashari Gunawan

Subjects: “…bibliometric, learning outcomes, tpack…”
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Exploring Teachers’ Perceptions of EFL Students’ Engagement in Collaborative Learning: Implementation Issues and Suggestions by Ali Abbas Falah Alzubi, Mohd Nazim, Jalal Ahmad

“…The evolving landscape of collaborative learning in English education for the last two decades has witnessed a notable research surge in diverse contexts. …”
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Predict the Maximum Dry Density of Soil Based on Individual and Hybrid Methods of Machine Learning by Ghanshyam Tejani, Behnam Sadaghat, Sumit Kumar

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Learning Curve of Uniportal Compared With Biportal Endoscopic Techniques for the Treatment of Lumbar Disc Herniation by Yuquan Liu, Xiang Li, Haining Tan, Xinyi Hao, Bin Zhu, Yong Yang, Lingjia Yu

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Hierarchical Aggregation for Federated Learning in Heterogeneous IoT Scenarios: Enhancing Privacy and Communication Efficiency by Chen Qiu, Ziang Wu, Haoda Wang, Qinglin Yang, Yu Wang, Chunhua Su

Subjects: “…hierarchical federated learning…”
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Glaucoma detection and staging from visual field images using machine learning techniques. by Nahida Akter, Jack Gordon, Sherry Li, Mikki Poon, Stuart Perry, John Fletcher, Thomas Chan, Andrew White, Maitreyee Roy

“…The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.…”
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Reviewing the Impact of Generative AI on ‎Language Learning and Teaching: A Synthesis of Potentials and Pitfalls by Hewa Fouad Ali, Zahra Abdulmutalib Muhammed

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The Attention Mechanism Performance Analysis for Football Players Using the Internet of Things and Deep Learning by Chuan Mou

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Machine Learning-Based Modeling of Hot Carrier Injection in 40 nm CMOS Transistors by Xhesila Xhafa, Ali Dogus Gungordu, Mustafa Berke Yelten

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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

Subjects: “…Deep learning…”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

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RSS Tracking Control for AVs Under Bayesian-Network-Based Intelligent Learning Scheme by Kun Zhang, Kezhen Han, Nanbin Zhao

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Func-Bagging: An Ensemble Learning Strategy for Improving the Performance of Heterogeneous Anomaly Detection Models by Ruinan Qiu, Yongfeng Yin, Qingran Su, Tianyi Guan

Subjects: “…ensemble learning…”
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DDL R-CNN: Dynamic Direction Learning R-CNN for Rotated Object Detection by Weixian Su, Donglin Jing

“…To address these challenges, this paper introduces a novel approach known as Dynamic Direction Learning R-CNN (DDL R-CNN), which comprises a dynamic direction learning (DDL) module and a boundary center region offset generation network (BC-ROPN). …”
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