Revisiting specific learning disorder in context of the Rights of Persons with Disabilties Act, 2016 by Thomas John, Choudhary Laxmi Narayan

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Chord Types and Figuration: A Bayesian Learning Model of Extended Chord Profiles by Christoph Finkensiep, Petter Ericson, Sebasian Klassmann, Martin Rohrmeier

“…To this end, we develop a computational model of chord types that distinguishes chord tones and “figuration tones” and can be learned using Bayesian inference following methods in computational cognitive science. …”
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Deep, Surface, or Both? A Study of Occupational Therapy Students’ Learning Concepts by Tore Bonsaksen

“…Students’ conceptualization of learning has been associated with their approaches to studying. …”
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Design and Implementation of an Online Learning Behavior Evaluation System Based on Data Mining by Bo Zhang, Jiali Xie

“…In order to study the problem that most of the existing Web-based distance education systems lack the monitoring of the learning process and the evaluation of students’ online learning behavior, a method of designing an online learning behavior evaluation system based on data mining is proposed, and an online learning behavior evaluation system is implemented. …”
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A recurrence model for non-puerperal mastitis patients based on machine learning by Gaosha Li, Qian Yu, Feng Dong, Zhaoxia Wu, Xijing Fan, Lingling Zhang, Ying Yu

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Influence of using animated video media in online learning at junior high school by Risma Rizqiana Haq, Lies Diana Dwi Irawati

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A parallel spatiotemporal deep learning network for highway traffic flow forecasting by Dongxiao Han, Juan Chen, Jian Sun

“…Considering these key points, this article proposes a parallel spatiotemporal deep learning network for short-term highway traffic flow forecasting, which learns features from the time and space dimensions. …”
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Prediction of Metro Train-Induced Tunnel Vibrations Using Machine Learning Method by Zhuosheng Xu, Meng Ma, Zikai Zhou, Xintong Xie, Haoxiang Xie, Bolong Jiang, Zhongshuai Zhang

“…To improve the accuracy efficiency, the machine learning (ML) method was introduced to predict the tunnel vibration responses. …”
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Deep learning helps discriminate between autoimmune hepatitis and primary biliary cholangitis by Alessio Gerussi, Oliver Lester Saldanha, Giorgio Cazzaniga, Damiano Verda, Zunamys I. Carrero, Bastian Engel, Richard Taubert, Francesca Bolis, Laura Cristoferi, Federica Malinverno, Francesca Colapietro, Reha Akpinar, Luca Di Tommaso, Luigi Terracciano, Ana Lleo, Mauro Viganó, Cristina Rigamonti, Daniela Cabibi, Vincenza Calvaruso, Fabio Gibilisco, Nicoló Caldonazzi, Alessandro Valentino, Stefano Ceola, Valentina Canini, Eugenia Nofit, Marco Muselli, Julien Calderaro, Dina Tiniakos, Vincenzo L’Imperio, Fabio Pagni, Nicola Zucchini, Pietro Invernizzi, Marco Carbone, Jakob Nikolas Kather

“…This study investigates the use of a deep learning (DL)-based pipeline for the diagnosis of AIH and PBC to aid differential diagnosis. …”
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GGSYOLOv5: Flame recognition method in complex scenes based on deep learning. by Fucai Sun, Liping Du, Yantao Dai

“…In this paper, a deep learning-based flame recognition method for complex scenes, GGSYOLOv5, is proposed. …”
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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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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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