Pointer meters recognition method in the wild based on innovative deep learning techniques by Jiajun Feng, Haibo Luo, Rui Ming

“…Abstract This study presents a novel approach to identifying meters and their pointers in modern industrial scenarios using deep learning. We developed a neural network model that can detect gauges and one or more of their pointers on low-quality images. …”
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Brain tumor segmentation by deep learning transfer methods using MRI images by E.Y. Shchetinin

“…In recent years, deep learning methods applied to brain tumor segmentation have shown promising results. …”
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Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm by Lang Chai, Rui Huang

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Fusion reconstruction mechanism and contrast learning method for WSN abnormal node detection by YE Miao, CHENG Jin, HUANG Yuan, JIANG Qiuxiang, WANG Yong

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach. by Rodrigue Govan, Romane Scherrer, Baptiste Fougeron, Christine Laporte-Magoni, Roman Thibeaux, Pierre Genthon, Philippe Fournier-Viger, Cyrille Goarant, Nazha Selmaoui-Folcher

“…Our approach utilized a comprehensive strategy combining machine learning models trained on binarized incidences, along with descriptive techniques for identifying key factors. …”
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The Role of Psycholinguistics in Developing Arabic Language Learning Methods: A Literature Review by Dea Adinda, Era Fazira, Fadhla Abi Hidayah, Sahkholid Nasution

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Machine Learning and Statistical Test–Based Culvert Condition Impact Factor Analysis by Ce Gao, Zhibin Li, Hazem Elzarka, Hongyan Yan, Peijin Li

“…Although the use of machine learning (ML) techniques to predict culvert conditions has been proven to be a promising tool for enhancing culvert management and enabling proactive scheduling of maintenance tasks, the information provided by the developed ML models has been given little attention for further use and analysis. …”
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Research on Innovative Apple Grading Technology Driven by Intelligent Vision and Machine Learning by Bo Han, Jingjing Zhang, Rolla Almodfer, Yingchao Wang, Wei Sun, Tao Bai, Luan Dong, Wenjing Hou

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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

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COLLABORATIVE ONLINE INTERNATIONAL LEARNING: SUGGESTIONS FOR UKRAINIAN MEDICAL EDUCATION AND INTERDISCIPLINARY COOPERATION by Yu.V. Lysanets, J. Ward, C. Zhang, T. Downing, O.M. Bieliaieva

Subjects: “…collaborative online international learning…”
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Mathematical Validation of Proposed Machine Learning Classifier for Heterogeneous Traffic and Anomaly Detection by Azidine Guezzaz, Younes Asimi, Mourade Azrour, Ahmed Asimi

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On the Readiness of Scientific Data Papers for a Fair and Transparent Use in Machine Learning by Joan Giner-Miguelez, Abel Gómez, Jordi Cabot

“…Abstract To ensure the fairness and trustworthiness of machine learning (ML) systems, recent legislative initiatives and relevant research in the ML community have pointed out the need to document the data used to train ML models. …”
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BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance by Panagiotis Tsikas, Athanasios Chassiakos, Vasileios Papadimitropoulos, Antonios Papamanolis

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Estimation of Acetic Acid Concentration from Biogas Samples Using Machine Learning by Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer

“…The project aims to use NIR sensors and machine learning algorithms to estimate the acetic acid concentration in a biogas substrate based on the measured intensities of the substrate. …”
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Comprehensive Review of Meta-Learning Methods for Cold-Start Issue in Recommendation Systems by Jamallah M. Zawia, Maizatul Akmar Binti Ismail, Mohammad Imran, Buce Trias Hanggara, Diva Kurnianingtyas, Silvi Asna, Quang Tran Minh

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Implementing essential diagnostics-learning from essential medicines: A scoping review. by Moriasi Nyanchoka, Mercy Mulaku, Bruce Nyagol, Eddy Johnson Owino, Simon Kariuki, Eleanor Ochodo

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Conceptual images and learning obstacles in exponentiation and logarithms: A hermeneutic phenomenological analysis by Yuvita Andriani Kusumadewi, Riki Andriatna

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A CME Automatic Detection Method Based on Adaptive Background Learning Technology by Zhenping Qiang, Xianyong Bai, Qinghui Zhang, Hong Lin

“…In this paper, we describe a technique, which uses an adaptive background learning method to detect the CME (coronal mass ejections) automatically from SOHO/LASCO C2 image sequences. …”
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An Example of an Activity Developed in Accordance with the 5E Learning Model for Teaching Solutions by Samih Bayrakçeken, İclal Avinç Akpınar

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Hierarchical RIME algorithm with multiple search preferences for extreme learning machine training by Rui Zhong, Chao Zhang, Jun Yu

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