Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

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How learning to read Braille in visual and tactile domains reorganizes the sighted brain by Maciej Gaca, Alicja M. Olszewska, Dawid Droździel, Agnieszka Kulesza, Małgorzata Paplińska, Bartosz Kossowski, Katarzyna Jednoróg, Jacek Matuszewski, Aleksandra M. Herman, Artur Marchewka

“…Learning tactile Braille reading leverages cross-modal plasticity, emphasizing the brain’s ability to reallocate functions across sensory domains. …”
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The impact of incidental learning on the acquisition of the sound /p/ by Arabic-speaking EFL learners by Altakhaineh Abdel Rahman Mitib, Alsaraireh Mohammad Yousef, Alhendi Hiba

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Detection Method of Limb Movement in Competitive Sports Training Based on Deep Learning by Chunlin Qin, Shenglu Huo

“…In order to solve the above problems, a limb movement detection method in competitive sports training based on deep learning is proposed. The force change parameters of sports limb movements in the process of sports are computed to achieve the detection of limb movements in competitive sports training, and the limb movement characteristics in competitive sports training are extracted using a deep learning algorithm. …”
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review by M. A. D. Buser, J. K. van derRest, M. H. W. A. Wijnen, R. R. deKrijger, A. F. W. van derSteeg, M. M. van denHeuvel‐Eibrink, M. Reismann, S. Veldhoen, L. Pio, M. Markel

“…This indicates a need for advanced image processing technology such as Deep Learning (DL). Aim Our review focused on the use of DL in multidisciplinary imaging in pediatric surgical oncology. …”
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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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The learning public health system: A new paradigm for disease surveillance and prevention by Rajiv Saran

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Development of a laboratory-based learning model via digital platform environment by Van-Phuong Dao, Thi-Luong Nguyen, Van-Hong Bui, Vu-Hoang Tran, Phuong Nguyen-Truc Phan, Minh-Dao Nguyen

Subjects: “…laboratory learning model…”
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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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Thrust and Pressure Control in a Solid Propulsion System via Reinforcement Learning by Zuohao Hua, Zhuang Fu, Lu Niu

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Needs Analysis in Developing Digital Flashcards for Indonesian Language Learning in Elementary School by Hanisah Hanisah, Moh Sutomo, Saihan Saihan

Subjects: “…digital flashcard; indonesiam language learning; elemntary school…”
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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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Multi-RIS-Assisted 3D Localization and Synchronization via Deep Learning by Alireza Fadakar, Maryam Sabbaghian, Henk Wymeersch

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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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