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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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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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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Pengembangan Aplikasi E-Learning Edu IT : Pembuatan Aplikasi Ujian Essay Online serta Upload Download Materi Kuliah by Maria Bellaniar Ismiati, Latius Hermawan

“…  Dunia pendidikan sekarang sudah banyak yang menggunakan kecanggihan teknologi dan berbasis internet, seperti proses belajar mengajar secara elektronik atau dikenal dengan e-learning. Salah satu fitur e-learning dalam proses belajar mengajar adalah dapat menampilkan materi, soal latihan, percakapan melalui text/video maupun video, kuis, dan ujian secara elektronik. …”
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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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FIRM image analysis: A machine learning workflow for quantifying extracellular matrix components from electron microscopy images. by Nicholas T Gigliotti, Justin Lee, Emily H Mang, Giancarlo R Zambrano, Mitra L Taheri

“…Current imaging techniques allow us to visualize these critical remodeling events and developments in image analysis have employed a combination of analysis software and machine learning techniques to improve the efficiency and accuracy with which features are measured. …”
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Analisis Model Mental Mahasiswa dalam Pengembangan E-Learning Pemrograman Berbasis Gamifikasi Menggunakan Metode Agile UX by Retno Indah Rokhmawati, Fitra Abdurrachman Bachtiar, Fajar Pradana, Kharis Alfian

“…Abstract The purpose of this research is to analyze students' mental models of how their behavior learns programming material. This mental model is then applied to improve the e-learning CodeManiac design. …”
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How rural school teachers can support the learning adjustment of left‐behind children under the ‘double‐reduction’ policy by Xuedi Pi, Jianping Huang, Jiong Niu

“…Finally, the result revealed that rural teachers help LBC change their learning attitudes, thereby promoting self‐learning ability.…”
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A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. by Fayaz Hassan, Zafi Sherhan Syed, Aftab Ahmed Memon, Saad Said Alqahtany, Nadeem Ahmed, Mana Saleh Al Reshan, Yousef Asiri, Asadullah Shaikh

“…The intended use of CFS and PCA in the machine learning pipeline serves two folds benefit, first is that the resultant feature matrix contains attributes that are most useful for recognizing malicious traffic, and second that after CFS and PCA, the feature matrix has a smaller dimensionality which in turn means that smaller number of weights need to be trained for the dense layers (connections are required for the dense layers) which resulting in smaller model size. …”
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A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction by Md. Alamin Talukder, Majdi Khalid, Nasrin Sultana

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A NEED ANALYSIS ON ICT-BASED ENGLISH MATERIAL FOR TEACHING AND LEARNING OF READING FOR HIGH SCHOOL STUDENTS IN SOUTH BENGKULU by Margareta Margareta, Safnil Safnil, Irwan Koto

“…This research was aimed to find out ICT media are preferred by high school students in South Bengkulu in learning reading and to describe the reading materials should be used with ICT media. …”
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A pelvis MR transformer-based deep learning model for predicting lung metastases risk in patients with rectal cancer by Yin Li, Yin Li, Yin Li, Shuang Li, Shuang Li, Ruolin Xiao, Ruolin Xiao, Xi Li, Yongju Yi, Yongju Yi, Liangyou Zhang, Liangyou Zhang, You Zhou, You Zhou, Yun Wan, Chenhua Wei, Liming Zhong, Liming Zhong, Wei Yang, Wei Yang, Lin Yao, Lin Yao, Lin Yao

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On the interaction between implicit statistical learning and the alternation advantage: Evidence from manual and oculomotor serial reaction time tasks. by Arianna Compostella, Marta Tagliani, Maria Vender, Denis Delfitto

“…In this study, we examine how implicit statistical learning (ISL) interacts with the cognitive bias of the alternation advantage in serial reaction time (SRT) tasks. …”
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A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…The results of this study provide a technical and practical foundation for the integration of the YOLO series of algorithms with other deep learning techniques and its wide applications. Besides, these results serve as a valuable reference for achieving intelligent advances in complex underground coal mine scenarios such as drilling sites for gas drainage.…”
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Panoramic radiographic features for machine learning based detection of mandibular third molar root and inferior alveolar canal contact by A. Canberk Ulusoy, Tuğçe Toprak, M. Alper Selver, Pelin Güneri, Betül İlhan

Subjects: “…Machine learning…”
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Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation by Nagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay kumar, Mahesh T R, Mohammad Alojail, Saurabh Raj Sangwan, Mo Saraee

“…This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. …”
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A Case Study of an Evaluation of Pen-and-Paper Homework and Project-Based Learning of Statistical Literacy in an Introductory Statistics Course by Kristin Lilly, Basil M. Conway

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Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

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