Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods by Shanshan Li, Jiali Wang, Li Zhou, Hui Wang, Xiangyu Wang, Jian Hu, Qingxiu Ai

“…Methods: 1142 ultrasound radiomics and 18 clinical features from 1254 patients were analyzed, from which 36 features were selected for machine learning. …”
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A Review of Deep Learning-Based Remote Sensing Image Caption: Methods, Models, Comparisons and Future Directions by Ke Zhang, Peijie Li, Jianqiang Wang

“…Furthermore, we compare and analyze the results of the latest models and the pros and cons of different deep learning methods. Lastly, future directions of RSIC are suggested. …”
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Learning effectiveness of simulation based teaching in Gynaecology and Obstetrics among medical students: a mixed-methods study by Shamaila Mohsin, Brekhna Jamil, Kiran Imtiaz Khan, Safiullah Virk, Abdul Momin Rizwan Ahmad, Abdul Momin Rizwan Ahmad

“…IntroductionSimulation-Based Teaching (SBT) has emerged as an educational strategy to enhance clinical competence among medical students, particularly in Gynaecology and Obstetrics.ObjectiveThis study assessed the effectiveness of learning SBT and explored the enablers and challenges associated with implementing SBT in Gynaecology and Obstetrics.MethodsUsing a sequential explanatory mixed methods approach a study was conducted in Skills Lab at Pakistan Emirates Military Hospital (PEMH), Rawalpindi during May–Sep 2024. …”
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Geospatial digital mapping of soil organic carbon using machine learning and geostatistical methods in different land uses by Yahya Parvizi, Shahrokh Fatehi

“…SOC was mapped using kriging geostatistical method in the study area. The SOC changes were simulated using multivariate analysis and machine learning methods including generalized linear model (GLM), linear additive model (LAM), cubist, random forest (RF), and support vector machine (SVM) models. …”
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Machine Learning and Reverse Methods for a Deeper Understanding of Public Roadway Improvement Action Impacts during Execution by Sohrab Mamdoohi, Elise Miller-Hooks

“…Alternative hybrid machine-learning methods are proposed to identify and contrast those traffic characteristics that contribute greatest to correct detection of each type of downtime event. …”
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New Methods for Pathogen Risk Assessment: Machine Learning in the Analysis of Toxicity Spectrum of <i>Albifimbria verrucaria</i> by V. T. Tkachenko, M. V. Fedorov, V. V. Fedorova, A. V. Pozdeev, E. B. Kormanovskaya, A. S. Klimova, P. V. Gunina

“…This makes the search for new approaches to assess their danger and control highly relevant.Purpose of the study is to study the toxicological profile of mycotoxins produced by the pathogenic fungus Albifimbria verrucaria and to determine their level of danger using chemoinformatics and machine learning.Study base sources. Analysis of scientific literature available through open Russian and English-language Internet resources.Method. …”
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Precision soil sampling strategy for the delineation of management zones in olive cultivation using unsupervised machine learning methods by John-Nick Bougiouklis, Pantelis E. Barouchas, Panagiotis Petropoulos, Dimitrios E. Tsesmelis, Nicholas Moustakas

“…The soil samples were clustered using unsupervised machine learning methods, K-means, Hierarchical clustering, and DBSCAN. …”
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How do students evaluate their teachers’ support for productive struggle in learning mathematics? A mixed-methods study by Ibrahim Khalil, Ahmed AL-Otaibi, Sultan Almughyirah, Mufareh Almalky

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Improving Aerobics Posture Evaluation by Transfer Learning: Humanized Computational Application of BERT-PTA Domain Adaptive Methods by Wenting Zhou, Biao Guo, Feng Cao

“…The recall rate of using transfer learning to improve aerobics posture evaluation was 3.45% and 7.14% higher than that of the other two methods, respectively. …”
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Using machine learning methods to investigate the role of volatile organic compounds in non-alcoholic fatty liver disease by Chih-Hao Shen, Ruei-Hao Huang, Yaw-Kuen Li, Ta-Wei Chu, Ta-Wei Chu, Dee Pei, Dee Pei

“…This study aimed to explore whether NAFLD could be effectively detected using 341 volatile organic compounds (VOCs) via 10 machine learning (Mach-L) algorithms in a cohort of 1,501 individuals.MethodsParticipants were selected from the Taiwan MJ cohort, which includes comprehensive demographic, biochemical, lifestyle, and VOCs data. …”
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Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness. by Ahmed Muqdad Alnasrallah, Maheyzah Md Siraj, Hanan Ali Alrikabi

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The Impact of Hybrid Quantum Learning Methods on Arabic Language Acquisition Among Students of Islamic Boarding School in Indonesia by Husna, Wildan Renaldi, Tawfiq Sarehmasor

“…The study explores Hybrid Quantum Learning in Arabic language education amid COVID-19, employing a quantitative approach with descriptive research methods. …”
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A Comparative Analysis of Deep Learning Methods for Ghaf Tree Detection and Segmentation from UAV-based Images by H. Shanableh, M. B. A. Gibril, A. Mansour, A. Dixit, R. Al-Ruzouq, R. Al-Ruzouq, N. Hammouri, F. Lamghari, S. M. Ahmed, R. Jena, T. Mohamed, M. A. Almarzouqi, N. S. Alafayfeh, S. Z. Ghebremeskel

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Prediction of weld quality in laser welding of hardmetal and steel using high-speed imaging and machine learning methods by Mohammadhossein Norouzian, Mahan Khakpour, Marko Orosnjak, Atal Anil Kumar, Slawomir Kedziora

“…In addition, a continuous process monitoring method like High-Speed Imaging (HSI) is essential in real industrial applications to maintain stability and detect potential defects. …”
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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…There were 21 NLP methods applied, emphasizing the highest implementation of Term Frequency-Inverse Document Frequency (TF-IDF) while the most implemented ML method was Support Vector Machine (SVM). …”
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Research on Lingnan Culture Image Restoration Methods Based on Multi-Scale Non-Local Self-Similar Learning by Shang Xinping

“…This paper proposes an image restoration method based on multi-scale non-local self-similar learning. …”
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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

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Development of a generative adversarial neural network for identification of potential HIV-1 inhibitors by deep learning methods by G. I. Nikolaev, N. A. Shuldov, A. I. Anishenko, A. V. Tuzikov, A. M. Andrianov

Subjects: “…deep learning methods…”
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Quantifying the Geomorphological Susceptibility of the Piping Erosion in Loess Using LiDAR-Derived DEM and Machine Learning Methods by Sisi Li, Sheng Hu, Lin Wang, Fanyu Zhang, Ninglian Wang, Songbai Wu, Xingang Wang, Zongda Jiang

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Machine learning methods for predicting essential metabolic genes from Plasmodium falciparum genome-scale metabolic network. by Itunuoluwa Isewon, Stephen Binaansim, Faith Adegoke, Jerry Emmanuel, Jelili Oyelade

“…Identifying these genes, especially in complex organisms like Plasmodium falciparum, which causes malaria, is challenging due to the cost and time associated with experimental methods. Thus, computational approaches have emerged. …”
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