A Data-Driven Intelligent Methodology for Developing Explainable Diagnostic Model for Febrile Diseases by Constance Amannah, Kingsley Friday Attai, Faith-Michael Uzoka

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Construction and Application of Feature Recommendation Model for Remote Sensing Interpretation of Rock Strata Based on Knowledge Graph by Liufeng Tao, Qirui Wu, Miao Tian, Zhong Xie, Jianguo Chen, Yueyu Wu, Qinjun Qiu

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Predictive analytics in gamified education: A hybrid model for identifying at-risk students by Devanshu Sawarkar, Latika Pinjarkar, Pratham Agrawal, Devansh Motghare

“…This research proposes a hybrid predictive model designed to identify at-risk students within a gamified education environment accurately. …”
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Preparing healthcare leaders of the digital age with an integrative artificial intelligence curriculum: a pilot study by Soo Hwan Park, Roshini Pinto-Powell, Thomas Thesen, Alexander Lindqwister, Joshua Levy, Rachael Chacko, Devina Gonzalez, Connor Bridges, Adam Schwendt, Travis Byrum, Justin Fong, Shahin Shahsavari, Saeed Hassanpour

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Effectiveness of Teachable Machine, mobile net, and YOLO for object detection: A comparative study on practical applications by Sheikh Muhammad Saqib, Muhammad Iqbal, Tehseen Mazhar, Tariq Shahzad, Khmaies Ouahada, Habib Hamam

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Evolving Journal Policies for Ethical Use of Generative AI in Scientific Publishing by Afifa Ehsan, Ali Raza

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Data driven modeling of TiO2 PVP nanofiber diameter using LSTM and regression for enhanced functional performance by Harshada Mhetre, Sagar Pande, Babita Singla, Pavan Hiremath, Samriddh Sahu, Sarvesh Sorte, Ketan Kotecha, Nithesh Naik

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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

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Economic growth of countries in the context of military operations by Olexandr Shapurov, Oleksii Hrechanyi, Volodymyr Stoiev, Anatolii Karpelianskyi, Alina Sosnovska

“…The purpose of the study is to assess the economic growth of Ukraine, Syria, and Palestine under wartime conditions, compare growth models (Solow, MRW, Romer, and a machine learning model), identify recovery factors, and develop recommendations for 2030. …”
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DESIGN OF STUDENT SUCCESS PREDICTION APPLICATION IN ONLINE LEARNING USING FUZZY-KNN by Selly Anastassia Amellia Kharis, Gatot Fatwanto Hertono, Endang Wahyuningrum, Yumiati Yumiati, Sam Rizky Irawan, T Ahmad Danial, Dimas Septian Saputra

“…The machine learning technique used in this research is Fuzzy-KNN. …”
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On the interpretability of the SVM model for predicting infant mortality in Bangladesh by Md Abu Sayeed, Azizur Rahman, Atikur Rahman, Rumana Rois

“…Abstract Background Although machine learning (ML) models are well-liked for their outperformance in prediction, greatly avoided due to the lack of intuition and explanation of their predictions. …”
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Enhancing Strategic Partnerships in Higher Education: Developing and Implementing a Predictive Model by Georgios Eftychiou

“…This digital platform is designed to evolve, incorporating future advancements in machine learning and data analysis to further optimize partnership evaluations. …”
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Stacked ensemble machine learning approach for electroencephalography based major depressive disorder classification using temporal statistics by Nader Nisar Ahmed, Tejas Kadengodlu Bhat, Omkar S. Powar

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Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions by Yiqun Pang, Kaiqi Zhang, Fengmei Li

“…Abstract How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring method based on machine learning. …”
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Express Analysis of the Structural and Electronic Properties of Nanomaterials Using Big Data, Large Language Models and Generative Artificial Intelligence by N. A. Shymanski, A. V. Baglov, Kh. B. Musaev, O. N. Ruzimuradov, L. S. Khoroshko

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An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory... by Jawharah Alasmari, Mohammed Alzyoudi, Masheal Alshehri, Rana Alshammari, Reyouf Aldakan

“…This study develops a machine learning model to predict narrative cohesion in children’s stories, classifying cohesion as complete, partial, or absent, using Gérard Genette’s narrative structure theory as a framework. …”
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Intelligent corrosion analysis and life prediction of ductile iron pipe systems using machine learning and electrochemical sensors by Bingqin Wang, Long Zhao, Yongfeng Chen, Lingsheng Zhu, Chao Liu, Xuequn Cheng, Xiaogang Li

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Machine Learning-Based Prediction of Summer Extended-Range Precipitation and Possible Contribution of Soil Moisture over China by Yuchen YE, Haishan CHEN, Siguang ZHU, Yinshuo DONG

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Cascaded Machine Learning of Soil Moisture and Salinity Prediction in Estuarine Wetlands Based on In Situ Internet of Things Monitoring by Jie Song, Yujun Yi

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Prediction of summer precipitation via machine learning with key climate variables：A case study in Xinjiang, China by Chenzhi Ma, Junqiang Yao, Yinxue Mo, Guixiang Zhou, Yan Xu, Xuemin He

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