Reverse design of broadband sound absorption structure based on deep learning method by Yihong Zhou, Lifeng Ma, Xi Kang, Zhiyuan Zhu

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Living, Caring, Learning – Setting boundaries for the wellbeing of everyone in bleeding disorders care by Harrison Cathy

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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…We performed hyperparameter tuning with grid search CV on Machine Learning algorithms such as Ada Boost and Gradient Boosting. …”
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Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625 by A. S. Rajesh, M. S. Prabhuswamy, M. Rudra Naik

“…Thus, this work provides the best machine learning approach to the prognosis of the roughness in dry turning of Inconel 625, which would save a lot of time and unnecessary wastage of the work material.…”
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Automatic Synthesis of Recurrent Neurons for Imitation Learning From CNC Machine Operators by Hoa Thi Nguyen, Roland Olsson, Oystein Haugen

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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

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Liberating the open and distance learning model from the chains of oppressive education theories by Mackenzie Ishmael Chibambo, Joseph Jinja Divala, Aggripa Chingombe

“…This study argues that open and distance learning (ODL) continues to function as a platform for producing factory-like workers and white-collar laborers whose primary function is to serve the capitalist labor market. …”
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CodeContrast: A Contrastive Learning Approach for Generating Coherent Programming Exercises by Nicolás Torres

Subjects: “…contrastive learning…”
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Analysis of College Students’ Public Opinion Based on Machine Learning and Evolutionary Algorithm by Jinqing Zhang, Pengchao Zhang, Bin Xu

“…The recent information explosion may have many negative impacts on college students, such as distraction from learning and addiction to meaningless and fake news. …”
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Stealthy data poisoning attack method on offline reinforcement learning in unmanned systems by ZHOU Xue, MAN Dapeng, XU Chen, LYU Jiguang, ZENG Fanyi, GAO Chaoyang, YANG Wu

Subjects: “…offline reinforcement learning…”
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Third Grade Manatee Curriculum—Lesson 1: Starting to Learn about Manatees by Heather Maness, Ruth Francis-Floyd, Maia McGuire

“…(Photo credit: Keith Ramos, USFWS) VM204/VM204: Third Grade Manatee Curriculum—Lesson 1: Starting to Learn about Manatees (ufl.edu) …”
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DC serial arc fault recognition in aircraft using machine learning techniques by Raul Carreira Rufato, Thierry Ditchi, Cyril Van de Steen, Thierry Lebey, Yacine Oussar

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ADAPTIVE E-TUTORSHIP USING STUDENTS CONTEXT IN TECHNOLOGY ENHANCED LEARNING ENVIRONMENTS by Clara Inés Peña de Carrillo, Choquet Chriatophe

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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

Subjects: “…Autonomous Learning…”
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Optimizing dental implant identification using deep learning leveraging artificial data by Shintaro Sukegawa, Kazumasa Yoshii, Takeshi Hara, Futa Tanaka, Yoshihiro Taki, Yuta Inoue, Katsusuke Yamashita, Fumi Nakai, Yasuhiro Nakai, Ryo Miyazaki, Takanori Ishihama, Minoru Miyake

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Determination of Learning Needs of Patients Undergoing Total Knee Replacement Surgery at Discharge by Emel Ceyhan, Hande Cengiz Açıl

“…Introduction: This study was planned to determine the learning needs of patients who underwent total knee replacement (TKR) surgery at discharge. …”
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CONTEXTUAL TEACHING & LEARNING (CTL) UNTUK MENINGKATKAN PENGETAHUAN DALAM SCREENING KESEHATAN by Elfi Quyumi Rahmawati

Subjects: “…skrining Kesehatan; Contextual Teaching & Learning; anak sekolah…”
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Leveraging machine learning to predict residential location choice: A comparative analysis by Vahid Noferesti, Hamid Mirzahossein

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Broken Wire Detection System for PCCPs Based on Raspberry Pi and Deep Learning by SUN Xuechao, ZHANG Youyuan, ZHU Jinxiang, WANG Ping, YIN Da

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Globally scalable glacier mapping by deep learning matches expert delineation accuracy by Konstantin A. Maslov, Claudio Persello, Thomas Schellenberger, Alfred Stein

“…Here we address this gap and propose Glacier-VisionTransformer-U-Net (GlaViTU), a convolutional-transformer deep learning model, and five strategies for multitemporal global-scale glacier mapping using open satellite imagery. …”
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