Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset by Omid Kohandel Gargari, Mobina Fathi, Shahryar Rajai Firouzabadi, Ida Mohammadi, Mohammad Hossein Mahmoudi, Mehran Sarmadi, Arman Shafiee

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Mapping global annual urban land cover fractions (2001–2020) derived with multi-objective deep learning by Haoyu Wang, Qian Wang, Xiuyuan Zhang, Shihong Du, Lubin Bai, Shuping Xiong

“…Accordingly, this study proposes a novel deep learning unmixing algorithm, Normalized Non-negative Multi-objective Residual T-ConvLSTM (NNMRT) model, with strong encoding and recognition capacities for extracting GAULCF. …”
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A Deep Learning Based Estimator for Light Flavour Elliptic Flow in Heavy Ion Collisions at LHC Energies by Barnaföldi Gergely Gábor, Mallick Neelkamal, Prasad Suraj, Sahoo Raghunath, Mishra Aditya Nath

“…We developed a deep learning feed-forward network for estimating elliptic flow (v2) coefficients in heavy-ion collisions from RHIC to LHC energies. …”
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Annotation-free deep learning for predicting gene mutations from whole slide images of acute myeloid leukemia by Bo-Han Wei, Xavier Cheng-Hong Tsai, Kuo-Jui Sun, Min-Yen Lo, Sheng-Yu Hung, Wen-Chien Chou, Hwei-Fang Tien, Hsin-An Hou, Chien-Yu Chen

“…Abstract The rapid development of deep learning has revolutionized medical image processing, including analyzing whole slide images (WSIs). …”
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Breaking barriers in STEAM education: Analyzing competence acquisition through project-based learning in a European context by Paula García-Llamas, Angela Taboada, Patricia Sanz-Chumillas, Luísa Lopes Pereira, Roberto Baelo Álvarez

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Retracted: Development Path and Mechanism of Cultural Tourism Integration Based on Deep Learning Mobile Big Data Analysis by Journal of Electrical and Computer Engineering

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Retracted: Analysis Method of Agricultural Total Factor Productivity Based on Stochastic Block Model (SBM) and Machine Learning by Journal of Food Quality

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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

Subjects: “…Leukaemia diagnosis; blood smear; feature extraction; machine learning…”
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Multi-omic and machine learning analysis of mitochondrial RNA modification genes in lung adenocarcinoma for prognostic and therapeutic implications by Xiao Zhang, Jiatao Liu, Yaolin Cao, Wei Wang, Haoran Lin, Yue Yu

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Enhancing Semi-Supervised Learning With Concept Drift Detection and Self-Training: A Study on Classifier Diversity and Performance by Jose L. M. Perez, Roberto S. M. Barros, Silas G. T. C. Santos

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Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

“…We introduce Distributed Cross-Learning for Equitable Federated models (D-CLEF), which incorporates horizontally- or vertically-partitioned data without disseminating patient-level records, to protect patients’ privacy. …”
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Optimizing fast charging protocols for lithium-ion batteries using reinforcement learning: Balancing speed, efficiency, and longevity by Khairy Sayed, Mahmoud Aref, Mishari Metab Almalki, Mahmoud A. Mossa

Subjects: “…Reinforcement learning…”
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Combination of mentor-based and resident-based learning may benefit to improving the ability of clinical practice in resident training by Min Li, Tao Liu, Yiqiong Wen, Min Zhang, Wenye Zhu, Xuming Wang, Yunjiao Hou, Lin Li, Anju Zu, Shibo Sun

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Effects of the Scientific Argumentation Based Learning Process on Teaching the Unit of Cell Division and Inheritance to Eighth Grade Students by Ceyda Balci, Nilgun Yenice

“… The aim of this study is to analyse the effects of scientific argumentation based learning process on the eighth grade students’ achievement in the unit of “cell division and inheritance”. …”
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Self-regulated Learning as a Mediator between Authoritative Parenting and Academic Achivement of Junior high School Students by Husnaini Husnaini, Rita Eka Izzaty

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LISTENING AND SPEAKING SKILLS AS LEARNING AND TARGET NEEDS IN BUSINESS ENGLISH PROGRAM FOR TOUR GUIDE DIPLOMA STUDENTS IN KENYA. by Douglas Ondara Orang'i

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Vibration Images-Driven Fault Diagnosis Based on CNN and Transfer Learning of Rolling Bearing under Strong Noise by Hongwei Fan, Ceyi Xue, Xuhui Zhang, Xiangang Cao, Shuoqi Gao, Sijie Shao

“…Deep learning-based fault diagnosis of rolling bearings is a hot research topic, and a rapid and accurate diagnosis is important. …”
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Beyond motor learning: Insights from infant magnetic resonance imaging on the critical role of the cerebellum in behavioral development by Lauren Wagner, Melis E Cakar, Megan Banchik, Emily Chiem, Siobhan Sive Glynn, Amy H Than, Shulamite A Green, Mirella Dapretto

“…We conclude that the cerebellum is implicated in many non-motor behaviors and implicit learning mechanisms in infancy. The field’s current limitations include inconsistencies in study design, a paucity of gold-standard infant neuroimaging tools, and treatment of the cerebellum as a uniform structure. …”
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Quizlet as a Learning Tool for Enhancing L2 Learners’ Lexical Retention: Should It be Used in Class or at Home? by Long Quoc Nguyen, Ha Van Le

“…In the twenty-first century, with the evolution of technologies, teaching and learning practices, especially in second language acquisition, have taken a significant leap. …”
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Predicting the reduction in heatstroke and heart disease-related mortality under urban modification scenarios using machine learning by Yukitaka Ohashi, Ko Nakajima, Yuya Takane, Yukihiro Kikegawa, Tomohiko Ihara, Kazutaka Oka

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