Labiodentals /r/ here to stay: Deep learning shows us why by Hannah King, Emmanuel Ferragne

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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

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Procedural Memory: Computer Learning in Control Subjects and in Parkinson’s Disease Patients by C. Thomas-Antérion, B. Laurent, N. Foyatier-Michel, S. Laporte, D. Michel

“…We used perceptual motor tasks involving the learning of mouse control by looking at a Macintosh computer screen. …”
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Affective Computing for Learning in Education: A Systematic Review and Bibliometric Analysis by Rajamanickam Yuvaraj, Rakshit Mittal, A. Amalin Prince, Jun Song Huang

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External Constraints on the Development of Quality Assessment of Students’ Learning in Higher Education by Juan C. Manrique-Arribas, Víctor M. López-Pastor, Andrés Palacios-Picos

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Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data by Thanh-Tung Nguyen, Joshua Zhexue Huang, Thuy Thi Nguyen

“…This approach enables one to generate more accurate trees, while allowing one to reduce dimensionality and the amount of data needed for learning RFs. An extensive set of experiments has been conducted on 47 high-dimensional real-world datasets including image datasets. …”
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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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['UBI-XGB: IDENTIFICATION OF UBIQUITIN PROTEINS USING MACHINE LEARNING MODEL'] by Sikandar Rahu, Ali Ghulam, Ali Farman, Dhani Bux Talpur, Mir Sajjad Hussain Talpur, Erum Saba, Zulfikar Ahmed Maher, Saima Tunio

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A Dictionary Learning Method with Total Generalized Variation for MRI Reconstruction by Hongyang Lu, Jingbo Wei, Qiegen Liu, Yuhao Wang, Xiaohua Deng

“…This work proposes a novel dictionary learning model that integrates two sparse regularization methods: the total generalized variation (TGV) approach and adaptive dictionary learning (DL). …”
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Lessons Learned and Questions Raised by an Atypical Case of Clozapine-Induced Myocarditis by Charles H. Earnshaw, Lucy Powell, Owen Haeney

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Identification of Civil Infrastructure Damage Using Ensemble Transfer Learning Model by A. Shamila Ebenezer, S. Deepa Kanmani, V. Sheela, K. Ramalakshmi, V. Chandran, M. G. Sumithra, B. Elakkiya, Bharani Murugesan

“…This article uses cutting-edge deep learning technology to identify structural damage from images for a civil engineering application. …”
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Tips, Tricks, and Guides in Descemet Membrane Endothelial Keratoplasty Learning Curve by Davide Borroni, Carlos Rocha de Lossada, Mohit Parekh, Kunal Gadhvi, Chiara Bonzano, Vito Romano, Hannah J. Levis, Aris Tzamalis, Bernhard Steger, Miguel Rechichi, Marina Rodriguez-Calvo-de-Mora

“…Here, we collate and share tips and tricks from our collective experiences to support the learning curve and outcomes in DMEK for both the novice and more experienced corneal transplant surgeons.…”
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Wafer Defect Classification Algorithm With Label Embedding Using Contrastive Learning by Jeongjoon Hwang, Somi Ha, Dohyun Kim

Subjects: “…Deep learning…”
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Automatic Monitoring System for Seed Germination Test Based on Deep Learning by Qi Peng, Lifen Tu, Yunyun Wu, Zhenyu Yu, Gerui Tang, Wei Song

“…In order to improve breeding efficiency, an automatic monitoring system for seed germination tests based on deep learning was designed. It includes a modified germination thermostat, connected with a three-dimensional movable camera bin with built-in camera; a multifunctional software system capable of online, offline, and sentinel mode monitoring; a dense distributed small target detection algorithm (DDST-CenterNet) for seed germination monitoring systems. …”
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Revitalizing Art with Technology: A Deep Learning Approach to Virtual Restoration by Nurrohmah Endah Putranti, Shyang-Jye Chang, Muhammad Raffiudin

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Investigating academic resilience in learning English: an ecological context of undergraduate students by Faiza Liaqat, Muhammad Islam, Muhammad Umer Azim, Ahmad Sohail Lodhi

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Interbehavioral survey about learning by observation in didactic interactions of illustration and feedback by Luis Galindo-Rodríguez, Héctor Silva-Victoria, Valeria Serrano de la Cruz, Edgar Rocha-Hernández, Ricardo Galguera-Rosales

Subjects: “…Learning by observation…”
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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…Remote sensing imagery, Geographic Information System (GIS) tools, and machine learning algorithms are leveraged to process and interpret satellite data for accurate land-cover classification. …”
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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…Artificial neural networks have achieved a great success in simulating the information processing mechanism and process of neuron supervised learning, such as classification. However, traditional artificial neurons still have many problems such as slow and difficult training. …”
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Digital learning initiatives forging inclusive education in post-conflict nations by Siddiqullah Barikzai, Vijayakumar Bharathi S, Arif Perdana

Subjects: “…E-learning, digital learning…”
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