Effectiveness of machine learning methods in detecting grooming: a systematic meta-analytic review by Marcelo Leiva-Bianchi, Nicolas Castillo, César A. Astudillo, Francisco Ahumada-Méndez

“…Abstract This study presents a systematic review (SR) and meta-analysis (MA) on the use of machine learning (ML) methods for detecting online grooming, a form of manipulation and child sexual abuse. …”
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An Empirical Evaluation of Supervised Learning Methods for Network Malware Identification Based on Feature Selection by C. Manzano, C. Meneses, P. Leger, H. Fukuda

“…The classifying network traffic method using machine learning shows to perform well in detecting malware. …”
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Retracted: Comparative Analysis of Different Efficient Machine Learning Methods for Fetal Health Classification by Applied Bionics and Biomechanics

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Health literacy prediction models based on machine learning methods: a scoping review by PAN Xiang, TONG Yingge, LI Yixuan, NI Ke, CHENG Wenqian, XIN Mengyu, HU Yuying

“…Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. …”
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Performance Evaluation of Artificial Neural Network Methods Based on Block Machine Learning Classification by Raya Hamdy, Mohammed Younis

“…This study proposes a block-by-block (5x5 chunks) segmentation method for semantic segmentation, which involves image dissection, feature extraction, and model training based on specific color and textural properties. …”
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Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Francisco J. Barrera, Ying Wei, Amal Cheema, Anuradha Lala, Andrew Beam, Murray A. Mittleman

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Plant Disease Detection and Classification Using Deep Learning Methods: A Comparison Study by Pei-Wern Chin, Kok-Why Ng, Naveen Palanichamy

“…This paper also aims to improve the accuracy and efficiency of plant disease detection and classification methods by proposing an optimised and lightweight YOLOv8 architecture model. …”
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Comment on “Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs” by Manas Bajpai

“…Comment on “Detection of Mucous Retention Cysts Using Deep Learning Methods on Panoramic Radiographs”…”
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Evaluating groundwater potential with the synergistic use of geospatial methods and advanced machine learning approaches by Vicky Anand, Vishnu D. Rajput, Tatiana Minkina, Saglara Mandzhieva, Aastha Sharma, Deepak Kumar, Sunil Kumar

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Gait Recognition via Enhanced Visual–Audio Ensemble Learning with Decision Support Methods by Ruixiang Kan, Mei Wang, Tian Luo, Hongbing Qiu

“…This setup lays a solid foundation for subsequent methods and updating strategies. The core framework consists of enhanced ensemble learning methods and Dempster–Shafer Evidence Theory (D-SET). …”
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Electrophysiological effects of kappa-opioid analgesic, RU-1205, using machine learning methods by K. Yu. Kalitin, O. Yu. Mukha, A. A. Spasov

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Using Explainable Machine Learning Methods to Predict the Survivability Rate of Pediatric Respiratory Diseases by Roshan Kumar, V Srirama, Krishnaraj Chadaga, H Muralikrishna, Niranjana Sampathila, Srikanth Prabhu, Rajagopala Chadaga

“…The KBest feature selection method is used initially to get the best fifteen features from the dataset. …”
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Modeling saturation exponent of underground hydrocarbon reservoirs using robust machine learning methods by Abhinav Kumar, Paul Rodrigues, A. K. Kareem, Tingneyuc Sekac, Sherzod Abdullaev, Jasgurpreet Singh Chohan, R. Manjunatha, Kumar Rethik, Shivakrishna Dasi, Mahmood Kiani

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Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification by Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred Ingabire

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METHODS AND TOOLS FOR DEVELOPING COMPUTER LEARNING SOFTWARE ON ELECTRICAL ENGINEERING BASED ON WIKI TECHNOLOGY by Roman V. Alekhin, Pavel A. Butyrin, Pavel R. Varshavskiy, Alexander P. Eremeev

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Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. by Morgan A Ziegenhorn, Kaitlin E Frasier, John A Hildebrand, Erin M Oleson, Robin W Baird, Sean M Wiggins, Simone Baumann-Pickering

“…This study shows how a machine learning toolkit can effectively mitigate this problem by detecting and classifying echolocation clicks using a combination of unsupervised clustering methods and human-mediated analyses. …”
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Evidence-Informed Education and Practice in Collaborative Learning Units: A Mixed-Methods Study by Diane Sawchuck, Lenora Marcellus, Darlaine Jantzen, Yonabeth Nava de Escalante

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Mapping Wind Turbine Distribution in Forest Areas of China Using Deep Learning Methods by Pukaiyuan Yang, Zhigang Zou, Wu Yang

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Blended learning in English language teaching: A comparison with traditional methods and pedagogical implications by Lekić Jelena, Vešović Marija, Fijuljanin Fahreta

“…This paper analyzes the implementation of the blended learning approach in English language teaching, comparing it with traditional educational methods. …”
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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

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