Analysis of Islamic Religious Education Learning Management for Children with Special Needs at SLBN Autis North Sumatera by Sri Aqilah Maulida, Neliwati Neliwati

“…All data obtained were analyzed using the analysis model of Miles and Huberman, which consists of three stages, namely data reduction, data presentation, and conclusion drawing. …”
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A comprehensive analysis of model poisoning attacks in federated learning for autonomous vehicles: A benchmark study by Suzan Almutairi, Ahmed Barnawi

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An Empirical Analysis of Above-Ground Biomass and Carbon Sequestration Using UAV Photogrammetry and Machine Learning Techniques by Thinnakon Angkahad, Teerawong Laosuwan, Satith Sangpradid, Narueset Prasertsri, Yannawut Uttaruk, Titipong Phoophathong, Joe Nuchthapho

“…In contrast, the machine learning analysis using the Deepness technique from UAV data estimated an above-ground biomass of 463,689.13 kg (463.68 tons), with a carbon sequestration of 217,933.89 kgCO2e (217.93 tCO2e). …”
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Point-to-Interval Prediction Method for Key Soil Property Contents Utilizing Multi-Source Spectral Data by Shuyan Liu, Dongyan Huang, Lili Fu, Shengxian Wu, Yanlei Xu, Yibing Chen, Qinglai Zhao

“…After extracting the characteristic bands from both types of spectral data, three fusion strategies were developed, which were further enhanced using machine learning techniques. …”
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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

“…Subsequently, Spearman correlation analysis was utilized to select the combination of canopy coverage and environmental data, followed by the random forest feature importance ranking method to identify the most optimal feature variables. …”
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Initial production prediction for horizontal wells in tight sandstone gas reservoirs based on data-driven methods by Jian Sun, Jianwen Gao, Kang Tang, Long Ren, Yanjun Zhang, Zhipeng Miao, Zhe Zhang

“…The dimensionality of the input data is reduced via correlation analysis of the feature parameters, and the parameters of each prediction model are optimized using a grid search and 10-fold cross-validation. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“…The presence of diabetes was the target variable, with various health indicators as predictors. Machine learning algorithms, including random forest, gradient boosting model, light gradient boosting model, extreme gradient boosting model, and k-nearest neighbors, were employed for analysis. …”
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Comparative Analysis of MaxEnt and Deep Learning Approaches for Modeling Humpback Whale Distribution in North Iceland by Nils Barthel, Charla J. Basran, Marianne H. Rasmussen, Benjamin Burkhard

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Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach by Sumaira Tabassum, M. Jawad Khan, Javaid Iqbal, Asim Waris, M. Adeel Ijaz

“…This study introduces a novel hybrid approach that combines unsupervised and supervised learning techniques to overcome the challenges of limited labeled data and scalability in chromosomal analysis. …”
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Research Trends in Studies on Lifelong Learning: A Bibliometric Analysis with Visual Mapping Technique (2016-2020) by Duygu Gür Erdoğan

“…This study aims to use the bibliometric analysis method to examine the scientific articles published in the last five years (2016-2020) in the field of “lifelong learning” and to visualize the obtained data with the visual mapping technique. …”
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AUGMENTED REALITY-BASED LEARNING: NEEDS ANALYSIS ON ELECTRICITY TOPICS FROM THE PERSPECTIVE OF HIGH SCHOOL STUDENTS by Zeni Haryanto, Shelly Efwinda, Nurhayati Nurhayati, Muhammad Sholeh, Ary Norsaputra

“…Students are also used to and allowed to use smartphones to access modules and learning materials in class. The results of the questionnaire data analysis show that most students agree that the use of technology is needed to study electricity topics. …”
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Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings by David Verstraete, Andrés Ferrada, Enrique López Droguett, Viviana Meruane, Mohammad Modarres

“…To address this problem a deep learning enabled featureless methodology is proposed to automatically learn the features of the data. …”
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Fostering critical thinking in learning outcomes of Kazakhstan initial teacher education by Mariya Kabysheva

“…This study employs computer algorithms to analyze how Kazakhstani educational program developers incorporate critical thinking into learning outcomes. The data sources include Russian-language versions of all active bachelor's degree teacher education programs in Kazakhstan. …”
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NMFGOT: a multi-view learning framework for the microbiome and metabolome integrative analysis with optimal transport plan by Yuanyuan Ma, Lifang Liu

“…However, the relationships among microbes, metabolites and human microenvironment are extremely complex, making data analysis challenging. Here, we present NMFGOT, which is a versatile toolkit for the integrative analysis of microbiome and metabolome data from the same samples. …”
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Beyond Nyquist: A Comparative Analysis of 3D Deep Learning Models Enhancing MRI Resolution by Soumick Chatterjee, Alessandro Sciarra, Max Dünnwald, Anitha Bhat Talagini Ashoka, Mayura Gurjar Cheepinahalli Vasudeva, Shudarsan Saravanan, Venkatesh Thirugnana Sambandham, Pavan Tummala, Steffen Oeltze-Jafra, Oliver Speck, Andreas Nürnberger

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Optimizing Stroke Recognition With MediaPipe and Machine Learning: An Explainable AI Approach for Facial Landmark Analysis by Reshad Ul Karim, Sammam Mahdi, Abrar Samin, Aniqua Nusrat Zereen, M. Abdullah-Al-Wadud, Jia Uddin

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Rapid assessment of clinical severity for salmonellosis cases via protein family domain analysis and machine learning by Aakash Bhattacharyya, Sudip Panday, David Ussery

“…The severity levels of cases were investigated through rigorous data analysis, resulting in a set of 70 Pfam domains that could be potentially used as biomarkers. …”
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What can be learned about caregivers in Canada from the analysis of families claiming the Canada caregiver credit? by Sung-Hee Jeon, Yuri Ostrovsky

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Alzheimer’s disease risk prediction using machine learning for survival analysis with a comorbidity-based approach by Ferial Abuhantash, Roy Welsch, Stan Finkelstein, Aamna AlShehhi

“…Various machine learning and deep learning methods for survival analysis are employed. …”
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AI Under Attack: Metric-Driven Analysis of Cybersecurity Threats in Deep Learning Models for Healthcare Applications by Sarfraz Brohi, Qurat-ul-ain Mastoi

“…In this paper, we provide a comprehensive analysis of key attack vectors, including adversarial attacks, such as the gradient-based Fast Gradient Sign Method (FGSM), evasion attacks (perturbation-based), and data poisoning, which threaten the reliability of DL models, with a specific focus on breast cancer detection. …”
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