Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms by Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…This study presents an analysis of mango fruit detection using machine learning algorithms, specifically YOLO version 8 and Faster R-CNN. …”
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Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation by John Adebisi, Sesham Srinu, Varqa Mitonga

“…Based on the analysis the most suitable CNN model for FPGA implementation was selected. …”
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Students’ acceptance of learning management system: Analysis of responses based on generational differences by Mohamad Syafri, Jayanti Puspita Dewi

“…It also brings a broader point of view regarding the issues by serving as the basis and reference for E-learning studies. This research is considered to be beneficial for those focusing on integrating technology into distance learning.…”
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Classifying Dementia Severity Using MRI Radiomics Analysis of the Hippocampus and Machine Learning by Dong-Her Shih, Yi-Huei Wu, Ting-Wei Wu, Yi-Kai Wang, Ming-Hung Shih

“…Our study processes 3D MRI data with AC-PC alignment correction and extracts radiomic features from the segmented hippocampus, followed by discretization and principal component analysis for optimization. …”
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Interpretable Prediction and Analysis of PVA Hydrogel Mechanical Behavior Using Machine Learning by Liying Xu, Siqi Liu, Anqi Lin, Zichuan Su, Daxin Liang

“…This study presents an interpretable machine learning framework for predicting PVA hydrogel tensile strain properties with emphasis on mechanistic understanding, based on a comprehensive dataset of 350 data points collected from a systematic literature review. …”
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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

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Opinion mining in e-commerce: Evaluating machine learning approaches for sentiment analysis by L. Lakshmi, Ali B.M. Ali, K Dhana Sree Devi, Muhammad Rafiq, Iskandar Shernazarov, Nashwan Adnan Othman, M. Ijaz Khan

“…In recent years, opinion mining has played a major role in analyzing text data from various sources such as Amazon, Capterra, Facebook, Google, GetApp, and Twitter. …”
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Forecasting and Feature Analysis of Ship Fuel Consumption by Explainable Machine Learning Approaches by Pham Nguyen Dang Khoa, Dinh Gia Huy, Nguyen Canh Lam, Dang Hai Quoc, Pham Hoang Thai, Nguyen Quyen Tat, Tran Minh Cong

“…Generally, the employed ML approaches efficiently predicted the data; however, they are black-box methods. Hence, explainable machine learning methods like Shapley additive explanations, the DT structure, and local interpretable model-agnostic explanations (LIME) were employed to comprehend the models and perform feature analysis. …”
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Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births by Zixuan Song, Hong Lin, Mengyuan Shao, Xiaoxue Wang, Xueting Chen, Yangzi Zhou, Dandan Zhang

“…Abstract Objective This study aimed to develop a machine learning (ML) model integrated with SHapley Additive exPlanations (SHAP) analysis to predict postpartum hemorrhage (PPH) following vaginal deliveries, offering a potential tool for personalized risk assessment and prevention in clinical settings. …”
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Test–Retest Reliability of Deep Learning Analysis of Brain Volumes in Adolescent Brain by Anna-Maria Kasparbauer, Heidrun Lioba Wunram, Fabian Abuhsin, Friederike Körber, Eckhard Schönau, Stephan Bender, Ibrahim Duran

“…Using a sample of 42 adolescents, we assessed the consistency of structural imaging metrics across 95 brain regions with deep learning-based neuroimaging analysis pipelines. The results demonstrated moderate to excellent reliability, with the intraclass correlation coefficients (ICC) ranging from 0.57 to 0.99 across regions. …”
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Machine Learning-Based Morphological Classification and Diversity Analysis of Ornamental Pumpkin Seeds by Sıtkı Ermiş, Uğur Ercan, Aylin Kabaş, Önder Kabaş, Georgiana Moiceanu

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An integrated CFD and machine learning analysis on pilots in-flight thermal comfort and productivity by Xueren Li, Ziqi Chen, Yin Tang, Yihuan Yan, Bichen Shang, Shengjin Xu, Jiyuan Tu

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Machine learning analysis of CO2 and methane adsorption in tight reservoir rocks by Mehdi Maleki, Mohammad Rasool Dehghani, Moein Kafi, Ali Akbari, Yousef Kazemzadeh, Ali Ranjbar

“…In this study, the adsorption behavior of CO2 and CH4 in tight reservoirs is examined using experimental data and advanced machine learning (ML) techniques. …”
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Self-based learning fuels social-based learning—but not the other way around: insights from a cross-lagged panel study on informal workplace learning by Julian Decius, Michael Knappstein, Andreas Seifert

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Comparative analysis of automated foul detection in football using deep learning architectures by Abdallah Rabee, Zakaria Anwar, Ahmed AbdelMoety, Ahmed Abdelsallam, Mahmoud Ali

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Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province by Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang

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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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“Voice of Student” in the Analysis of Components of Digital Educational Environment during Online Learning by Olga I. Popova, Galina S. Timokhina, Natalya B. Izakova, Larisa M. Kapustina

“…Secondary and primary data were obtained using traditional and content analysis, systematization methods. …”
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Machine learning-based modelling and analysis of carbonation depth of recycled aggregate concrete by Xuyong Chen, Xuan Liu, Shukai Cheng, Xiaoya Bian, Xixuan Bai, Xin Zheng, Xiong Xu, Zhifeng Xu

“…This paper used machine learning to model the prediction of carbonation depth and the analysis of feature parameters for recycled aggregate concrete (RAC). …”
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Cumulative sum analysis for evaluating learning curve of endoscopic lateral neck dissection by Zhen-Xin Chen, Xin-Ran Zhao, Jie-Min Deng, Ying Cao, Jing-Bao Chen, Feng-Shun Pang, Zhan-Hong Lin, Xiao-Bo Zhang, Bo Xu, You Qin

“…Furthermore, the present data and experience insights regarding endoscopic LND via chest approach may help other surgeons to pass the learning phase more safely.…”
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