Suicide risk prediction for Korean adolescents based on machine learning by Haitao Wang, Han Yuan, Yunong Zhang, Qixuan Wang, Zeng Gao, Mujuan Zhao

“…As a result, machine learning (ML) techniques have become progressively incorporated into psychiatric care. …”
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Deep Learning Innovations for Underwater Waste Detection: An In-Depth Analysis by Jaskaran Singh Walia, Kavietha Haridass, L. K. Pavithra

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Deep learning based quantitative cervical vertebral maturation analysis by Fulin Jiang, Abbas Ahmed Abdulqader, Yan Yan, Fangyuan Cheng, Tao Xiang, Jinghong Yu, Juan Li, Yong Qiu, Xin Chen

“…The data distribution to an 8:1:1 for training, validation, and testing. …”
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Hearts, Data, and Artificial Intelligence Wizardry: From Imitation to Innovation in Cardiovascular Care by Panteleimon Pantelidis, Polychronis Dilaveris, Samuel Ruipérez-Campillo, Athina Goliopoulou, Alexios Giannakodimos, Panagiotis Theofilis, Raffaele De Lucia, Ourania Katsarou, Konstantinos Zisimos, Konstantinos Kalogeras, Evangelos Oikonomou, Gerasimos Siasos

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Application of machine learning algorithm to predict the behavior of stocks marketed in Brazil by Gabriel Donadio Costa, Rogério João Lunkes

“…Thus, three machine learning models were trained using variables from the technical and/or fundamental analysis. …”
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Cutting-Edge Machine Learning in Biomedical Image Analysis: Editorial for <i>Bioengineering</i> Special Issue: “Recent Advance of Machine Learning in Biomedical Image Analysis” by Sheng Lian, Zhiming Luo

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Navigating the missing data maze: exploring multiple imputation techniques for environmental performance index data by Muhammed Haziq Muhammed Nor, Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Wan Hanna Melini Wan Mohtar, Bernard Kok Bang Lee

“…Future research may explore deep learning techniques for handling missing data in environmental datasets like EPI.…”
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Semi-Supervised Learning for Intrusion Detection in Large Computer Networks by Brandon Williams, Lijun Qian

“…This research explores data-driven security by applying semi-supervised machine learning techniques for intrusion detection in large-scale network environments. …”
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Comparison of Machine Learning Methods for Predicting Electrical Energy Consumption by Retno Wahyusari, Sunardi Sunardi, Abdul Fadlil

“…To enhance prediction accuracy, the researchers included a data pre-processing step using min-max normalization. …”
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Federated Learning for Human Activity Recognition: Overview, Advances, and Challenges by Ons Aouedi, Alessio Sacco, Latif U. Khan, Dinh C. Nguyen, Mohsen Guizani

“…Human Activity Recognition (HAR) has seen remarkable advances in recent years, driven by the widespread use of wearable devices and the increasing demand for personalized healthcare and activity tracking. Federated Learning (FL) is a promising paradigm for HAR that enables the collaborative training of machine learning models on decentralized devices while preserving data privacy. …”
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Conceptualizing an AI-based Police Robot for Preventing Online Child Sexual Exploitation and Abuse:<subtitle>Part 2 – Legal Analysis of PrevBOT</subtitle> by Inger Marie Sunde, Nina Sunde

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Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach by Mehdi Fasihi, Mirko Sodini, Alex Falcon, Francesco Degano, Paolo Sivilotti, Giuseppe Serra

“…This paper proposes a semi-supervised approach that begins with a small set of labeled phenological stage examples and automatically generates new annotations for large volumes of unlabeled climatic data. This approach aims to address key challenges in phenological analysis. …”
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Analysis of the Association between Teachers’ Classroom Teaching Behaviors and Students’ Knowledge Acceptance Based on Psychological Data Analysis by Tianjin Yao, Xiuye Yang

“…This paper adopts the method of psychological data analysis to conduct in-depth research and analysis on the correlation between teachers’ classroom teaching behaviors and students’ knowledge acceptance. …”
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A Complete EDA and DL Pipeline for Softwarized 5G Network Intrusion Detection by Abdallah Moubayed

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A comprehensive review on the applications of chemometrics in analytical chemistry by Projesh Saha, Bibhas Pandit, Soma Pramanik, Bhupendra Shrestha

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Navigating the microarray landscape: a comprehensive review of feature selection techniques and their applications by Fangling Wang, Azlan Mohd Zain, Yanjie Ren, Mahadi Bahari, Azurah A. Samah, Zuraini Binti Ali Shah, Norfadzlan Bin Yusup, Rozita Abdul Jalil, Azizah Mohamad, Nurulhuda Firdaus Mohd Azmi

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Unveiling geological complexity in the Serra Dourada Granite using self-organizing maps and hierarchical clustering: Insights for REE prospecting in the Goiás Tin Province, Brasíli... by Guilherme Ferreira da Silva, Marcos Vinícius Ferreira, Lucy Takehara Chemale, Igor Vasconcelos Santana, Nilson Francisquini Botelho

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Optimization of sports injury treatment through artificial intelligence: Methods for effective prevention, diagnosis and rehabilitation by Kimi Milić Marko, Sinanović Šćepan, Jestrović Vladimir

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CCTV image‐based classification of blocked trash screens by Rory Cornelius Smith, Andrew Paul Barnes, Jingjing Wang, Simon Dooley, Christopher Rowlatt, Thomas Rodding Kjeldsen

Subjects: “…data augmentation…”
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Impact of SAR Image Quantization Method on Target Recognition With Neural Networks by Kangwei Li, Di Wang, Daoxiang An

Subjects: “…Data augmentation…”
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