Deep Learning Image Classification Rontgen Dada pada Kasus Covid-19 Menggunakan Algoritma Convolutional Neural Network by Leni Anggraini Susanti, Agus Mohamad Soleh, Bagus Sartono

“…Proses pelatihan menggunakan learning rate 0.0001, optimasi stochastic gradient descent (SGD), dan sepuluh iterasi. …”
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İNFORMAL ÖĞRENME ORTAMLARININ ORTAOKUL ÖĞRENCİLERİNİN MATEMATİK TUTUMUNA ETKİSİ - THE EFFECT OF THE MATHEMATICAL LEARNING AREAS TO THE ATTITUDES TOWARDS MATHEMATICS by Sezgin Çağlar, Yusuf Ünal, Büşra Çalışkan, Ramazan Gürel, Burcu Durmaz

Subjects: “…informal learning…”
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Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks by P. Mamatha, S. Balaji, S. Sai Anuraghav

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THE IMPLEMENTATION OF SCIENTIFIC LEARNING APPROACH AT 10th GRADE ENGLISH CLASSES OF SENIOR HIGH SCHOOL 4 KOTA BENGKULU by Hikma Wipaqi

“…The second component was learning materials that supported the implementation of scientific learning approach and the third component was an assessment in scientific learning approach. …”
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Seismic Fragility Analysis of the Reinforced Concrete Continuous Bridge Piers Based on Machine Learning and Symbolic Regression Fusion Algorithms by Hanbo Zhu, Changqing Miao

“…The analysis results indicated that the standard deviation of the composite IM fragility curve proposed in this paper is 60% to 70% smaller than the other composite indicators which verified the efficiency, practicality, proficiency, and sufficiency of the proposed machine learning and symbolic regression fusion algorithms in constructing composite IMs.…”
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The Potential of Online Tasks to Facilitate Autonomous Language Learning with the Use of Online Dictionaries in a Higher Education ESP Classroom by Carolina Girón-García

Subjects: “…language learning…”
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Konseling Behavioral Dengan Teknik Self-Regulated Learning dan Self-Management Untuk Meningkatkan Motivasi Berprestasi Siswa by Kadek Sri Widirahayu, I Ketut Dharsana, Nyoman Dantes

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MOOCs Usage in Russian Higher Educational Institutions: Why Is Not There Any Increasing Demand for MOOCs During Emergency Distance Learning by U. S. Zakharova, K. A. Vilkova, R. N. Abramov

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Author Correction: Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

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The effect of educational philosophies on learning principles with the mediating role of epistemological beliefs among faculty members of University of Sistan and Baluchestan by sara jenabadi, Vali Mehdinezhad

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A Bionic Social Learning Strategy Pigeon-Inspired Optimization for Multi-Unmanned Aerial Vehicle Cooperative Path Planning by Yankai Shen, Xinan Liu, Xiao Ma, Hong Du, Long Xin

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Load frequency control in isolated island city microgrids using deep graph reinforcement learning considering extensive scenarios by Ping He, Xiongwei Huang, Ruobing He, Linkun Yuan

“…In addition, transfer learning is utilized to bolster the agents’ learning efficacy and adaptability to new conditions. …”
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Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey by Manhui Zhang, Xian Xia, Qiqi Wang, Yue Pan, Guanyi Zhang, Zhigang Wang

Subjects: “…machine learning algorithms…”
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A deep learning model based on RGB and hyperspectral images for efficiently detecting tea green leafhopper damage symptoms by Yang Xu, Yilin Mao, He Li, Jiazhi Shen, Xiuxiu Xu, Shuangshuang Wang, Shah Zaman, Zhaotang Ding, Yu Wang

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Metformin for Treating Gestational Diabetes: What Have We Learned During the Last Two Decades? A Systematic Review by Angeliki Gerede, Ekaterini Domali, Christos Chatzakis, Chrysoula Margioula-Siarkou, Stamatios Petousis, Sofoklis Stavros, Konstantinos Nikolettos, Evanthia Gouveri, Sotirios Sotiriou, Panagiotis Tsikouras, Konstantinos Dinas, Nikolaos Nikolettos, Nikolaos Papanas, Dimitrios G. Goulis, Alexandros Sotiriadis

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Evaluation of Spatial and Temporal Performance of Deep Learning Models for Travel Demand Forecasting: Application to Bike-Sharing Demand Forecasting by Jaehyung Lee, Jinhee Kim

“…Deep learning approaches are widely employed for forecasting short-term travel demand to respond to real-time demand. …”
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Intelligent recognition of subsurface utilities and voids: A ground penetrating radar dataset for deep learning applicationsMendeley Data by Abdelaziz Mojahid, Driss El Ouai, Khalid El Amraoui, Khalil El-Hami, Hamou Aitbenamer

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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Enhancing Critical Thinking Skills of Junior High School Student: Development of Interactive Worksheet Based on Discovery Learning Model by Khumaeroh Dwi Nur'aini, Abdul Rachman Taufik

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Identification of Intracranial Germ Cell Tumors Based on Facial Photos: Exploratory Study on the Use of Deep Learning for Software Development by Yanong Li, Yixuan He, Yawei Liu, Bingchen Wang, Bo Li, Xiaoguang Qiu

“…MethodsA multicenter, phased approach was adopted for the development and validation of a deep learning model, GVisageNet, dedicated to the screening of midline brain tumors from normal controls (NCs) and iGCTs from other midline brain tumors. …”
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