Alleviating small sample problem in continuous forest monitoring with remote sensing-assisted Copulas by Xinjie Cheng, Zhengyang Hou, Annika Kangas, Jean-Pierre Renaud, Hao Tang, Weisheng Zeng, Qing Xu

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Construction and evaluation of a height prediction model for children with growth disorders treated with recombinant human growth hormone by Feng Zhu, Anle Wu, Lingling Chen, Ya Xia, Xiaoju Luo, Jieqian Zhu, Lina Huang, Yu Zhang

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END TO END LEARNING FOR A DRIVING SIMULATOR by V. F. Alexeev, A. I. Staravoitau, G. A. Piskun, D. V. Likhacheuski

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An Evaluation Method for University Classroom Education Quality under Machine Vision and Single-Valued Neutrosophic Hesitant Fuzzy Set Environment by Rui Wang, Mingjie Li, Fangwei Zhang, Yiying Pan, Zongao Zhang

“…In addition, the cosine measure is employed to rank time-points based on both ideal and non-ideal solutions, obtaining the optimal and non-optimal learning effectiveness periods. Finally, a case study confirms the effectiveness and feasibility of the proposed model, offering a robust method for evaluating university education quality.…”
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Multi‑omics identification of a novel signature for serous ovarian carcinoma in the context of 3P medicine and based on twelve programmed cell death patterns: a multi-cohort machin... by Lele Ye, Chunhao Long, Binbing Xu, Xuyang Yao, Jiaye Yu, Yunhui Luo, Yuan Xu, Zhuofeng Jiang, Zekai Nian, Yawen Zheng, Yaoyao Cai, Xiangyang Xue, Gangqiang Guo

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Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result... by Liqiong Huang, Yu Luo, Li Zhang, Mengqi Wu, Lirong Hu

“…Conclusion Our machine learning model has excellent performance in stratification of risk for MAFLD with readily available clinical and demographic parameters. …”
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Transcriptomic signatures of neonatal acute respiratory distress syndrome in a prospective cohort of respiratory distress by Chan Liu, Qing Ai, Jingli Yang, Ying Fan, Wen Jia, Leyu Si, Yuting Yao, Feifan Chen, Shiyue Liu, Yu He, Yuan Shi

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Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

“…Educational Data Mining, leveraging machine learning and data mining techniques, aims to predict student performance using available datasets. …”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

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Aftershock Spatiotemporal Activity and Coseismic Slip Model of the 2022 Mw 6.7 Luding Earthquake: Fault Geometry Structures and Complex Rupture Characteristics by Qibo Hu, Hongwei Liang, Hongyi Li, Xinjian Shan, Guohong Zhang

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Implementation of generative AI for the assessment and treatment of autism spectrum disorders: a scoping review by Jun-Seok Sohn, Eojin Lee, Jae-Jin Kim, Jae-Jin Kim, Hyang-Kyeong Oh, Eunjoo Kim, Eunjoo Kim

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ENHANCING STATE POLICY EFFECTIVENESS IN CINEMA THROUGH MACHINE LEARNING / Повышение эффективности государственной политики в сфере кинематографа с помощью машинного обучения... by DOZHDIKOV ANTON V. / ДОЖДИКОВ А.В.

“…The study utilized the ensemble machine learning model HistGradientBoostingClassifier and a sequential fully connected three-layer neural network based on the TensorFlow library, along with basic methods of natural language processing. …”
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EffNet-SVM: A Hybrid Model for Diabetic Retinopathy Classification Using Retinal Fundus Images by K. V. Naveen, B. N. Anoop, K. S. Siju, Mithun Kumar Kar, Vipin Venugopal

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MaxEnt-Based Distribution Modeling of the Invasive Species <i>Phragmites australis</i> Under Climate Change Conditions in Iraq by Nabaz R. Khwarahm

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Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci by Jie Lu, Xinhao Lu, Yixiao Wang, Hengdong Zhang, Lei Han, Baoli Zhu, Boshen Wang

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Enhancing blockchain transaction classification with ensemble learning approaches by Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, Rourab Paul, Ajit Kumar Nayak, Subrata Chowdhury, Ramya Govindaraj, J Shreyas

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Identification of gene signatures associated with lactation for predicting prognosis and treatment response in breast cancer patients through machine learning by Jinfeng Zhao, Longpeng Li, Yaxin Wang, Jiayu Huo, Jirui Wang, Huiwen Xue, Yue Cai

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Prediction of attention deficit hyperactivity disorder using the comprehensive attention test: a large-scale machine learning approach by Kwang Su Cha, Bongseog Kim, Jun-Young Lee, Hanik Yoo, Hanik Yoo

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Domestic violence and childhood trauma among married women using machine learning approach: a cross-sectional study by Abbas Al Mutair, Chandni Saha, Layila Alhassan, Hawra Albahrani, Norah A. Alkhamis, Hajar Al Sultan, Muhammad Daniyal, Alya Elgamri

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Predicting cognitive frailty in community-dwelling older adults: a machine learning approach based on multidomain risk factors by Catherine Park, Namhee Kim, Chang Won Won, Miji Kim

“…Among the diverse CF-associated characteristics, the machine learning-based model identified six optimal features (key predictors): motor capacity, education level, physical function limitation, nutritional status, balance confidence, and activities of daily living. …”
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