Sex estimation with ensemble learning: an analysis using anthropometric measurements of piriform aperture by Muhammed Emin Parlak, Yasin Etli, Murat Beyhan, Kubilay Kanat, Hüseyin Alper Kızıloğlu

“…In this study, it was aimed to perform sex estimation by using the anthropometric measurements of piriform aperture obtained by computed tomography and 3D reconstruction techniques, discriminant function analysis, machine learning algorithms, and ensemble learning method. …”
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Enhancing Generative Class Incremental Learning Performance With a Model Forgetting Approach by Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

“…GCIL is one of the hot topics in the field of computer vision, and it is considered one of the important tasks in society as one of the continual learning approaches for generative models. The ability to forget is a crucial brain function that facilitates continual learning by selectively discarding less relevant information for humans. …”
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Counterfactual explanations of tree based ensemble models for brain disease analysis with structure function coupling by Shaolong Wei, Zhen Gao, Hongcheng Yao, Xiaoyu Qi, Mingliang Wang, Jiashuang Huang

“…Abstract Convergent evidence has suggested that the disruption of either structural connectivity (SC) or functional connectivity (FC) in the brain can lead to various neuropsychiatric disorders. …”
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Industry 4.0 digital technologies for the advancement of renewable energy: Functions, applications, potential and challenges by Ghinwa Naeem, Muhammad Asif, Muhammad Khalid

“…This study contributes to the literature by systematically investigating the role of 13 key Industry 4.0 digital technologies − Smart meters, Smart grids, Artificial Intelligence, Machine Learning, Digital Twin, 3D Printing, Big Data Analytics, Robotics, Sensors, Internet of Things, Cloud computing, Blockchain, and Cyber Security − in terms of their functions, applications, and potential in the RES. …”
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Influence of Light Regimes on Production of Beneficial Pigments and Nutrients by Microalgae for Functional Plant-Based Foods by Xiang Huang, Feng Wang, Obaid Ur Rehman, Xinjuan Hu, Feifei Zhu, Renxia Wang, Ling Xu, Yi Cui, Shuhao Huo

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Investigating the impact of sleep quality on cognitive functions among students in Tokyo, Japan, and London, UK by Joshua Ampofo, Binghai Sun, Geoffrey Bentum-Micah, Geoffrey Bentum-Micah, Li Qinggong, Wang Changfeng, Le Guoan, Qian Xusheng

“…At the same time, cognitive tests, including the Rey Auditory Verbal Learning Test and the Stroop Test, evaluated memory, attention, problem-solving, and executive functions.ResultsSignificant negative correlations emerged between PSQI scores and cognitive performance, indicating that poorer sleep quality correlated with diminished cognitive abilities across domains. …”
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Scene Matching Method for Children’s Psychological Distress Based on Deep Learning Algorithm by Junli Su

“…Based on the summary and analysis of previous research works, this paper expounded the research status and significance of the scene matching method for children’s psychological distress, elaborated the development background, current status, and future challenges of deep learning algorithm, introduced the methods and principles of depth spatiotemporal feature extraction algorithm and dynamic scene understanding algorithm, constructed a scene matching model for children’s psychological distress based on deep learning algorithm, analyzed the scene feature extraction and matching function construction of children’s psychological distress, proposed a scene matching method for children’s psychological distress based on deep learning algorithm, performed scene feature matching and information processing of children’s psychological distress, and finally conduced a simulation experiment and analyzed its results. …”
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Development of Chemical Physics Practicum Module Contextual Learning for Prospective Chemistry Teachers by Imas Eva Wijayanti, Ratna Sari Siti Aisyah, Andini Andini, Ida Paridah, Khoirunnisa Khoirunnisa, Sutihat Sutihat

“…<p class="Abstract"><span lang="EN-US">Learning chemistry requires practicum which functions to enrich understanding of chemical materials. …”
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Rock fracture type recognition based on deep feature learning of microseismic signals by LI Dianze, XU Huajie, ZHANG Bo

“…However, conventional machine learning methods for microseismic signal analysis exhibited limited feature extraction capabilities and were highly susceptible to noise, leading to reduced classification accuracy and poor generalization performance. …”
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Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development by Tahir Rashid, Inam Illahi, Qasim Umer, Muhammad Arfan Jaffar, Waheed Yousuf Ramay, Hanadi Hakami

“…Crowdsourcing Software Development (CSD) platforms, i.e., TopCoder, function as intermediaries connecting clients with developers. …”
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A new CNN deep learning model for computer-intelligent color matching by He Zhibin, Tan Yanmei, Li Sa

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Methodology for Human–Robot Collaborative Assembly Based on Human Skill Imitation and Learning by Yixuan Zhou, Naisheng Tang, Ziyi Li, Hanlei Sun

“…Furthermore, an expert reward function and a fuzzy experience replay mechanism are introduced in the reinforcement learning model to guide the human skill learning process, thereby enhancing collaborative comfort and smoothness. …”
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Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms by Walaa H. Elashmawi, Adel Djellal, Alaa Sheta, Salim Surani, Sultan Aljahdali

“…These models were applied to a dataset comprising 1603 patients after being referred for a pulmonary function test. <b>Results</b>: The RFC has achieved superior accuracy, reaching up to 82.06% in training and 70.47% in testing. …”
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Health Diagnosis of Roadheader Based on Reference Manifold Learning and Improved K-Means by Xiaodong Ji, Yang Yang, Yuanyuan Qu, Hai Jiang, Miao Wu

“…In this paper, a health state analysis method based on reference manifold (RM) learning and improved K-means clustering analysis was proposed; the method was verified by using the real-time collected roadheader cutting reducer fault signal. …”
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A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs by Ahmed Alabd-Aljabar, Zain Raisan, Mohammed Adnan, Salam Dhou

“…Fortunately, the availability of modern computing devices has made the automated diagnosis of teeth readily possible using deep learning. Despite this, concerns about the accuracy and function of automated diagnosis remain among patients. …”
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Effectiveness of Cadaver Compared to Plastination as Anatomy Learning Media: Medical Student Perspective by Muhammad Ilham Suharto, Taureni Hayati, Hanifah Hanifah, Mozart Mozart

“…Background: Anatomy is a fundamental component of medical education, playing a pivotal role in understanding the structure and function of the human body. Cadaver-based anatomy learning remains widely used in many medical faculties; meanwhile, plastination as an alternative method, offering efficiency and practicality. …”
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Prediction of Coalbed Methane Production Using a Modified Machine Learning Methodology by Hongyang Zhang, Kewen Li, Shuaihang Shi, Jifu He

“…In recent years, machine learning (ML) methods applied to CBM production prediction have focused on the significant data characteristics of production, achieving more accurate predictions. …”
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Federated Reinforcement Learning in Stock Trading Execution: The FPPO Algorithm for Information Security by Haogang Feng, Yue Wang, Shida Zhong, Tao Yuan, Zhi Quan

“…It also exhibits superior performance in key metrics such as the reward function value, showcasing its effectiveness in different financial contexts. …”
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Intelligent Waste Management Using WasteIQNet With Hierarchical Learning and Meta-Optimization by Sakshi Tiwari, Snigdha Bisht, Kanchan Sharma

“…To address class imbalance and feature sparsity, the architecture incorporates Feature-wise Attention (FWA), Top-K Mixture of Experts (TopK-MoE), and advanced regularization techniques including Dynamic Sparse Training (DST) and Model-Agnostic Meta-Learning (MAML). We introduce a novel Hierarchical Tree Loss function to penalize semantically distant misclassifications by leveraging domain-specific waste hierarchy paths. …”
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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…This study provides a reliable and efficient machine learning method for ship resistance prediction.…”
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