Malaria Disease Prediction Based on Convolutional Neural Networks by Dhrgam AL Kafaf, Noor N. Thamir, Samara S. AL-Hadithy

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Radio propagation modeling and measurement of uneven terrain model by Qi-Ping Soo, Soo-Yong Lim, Pei-Song Chee, Eng-Hock Lim, Kian-Meng Yap

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Cracking Tendency Prediction of High-Performance Cementitious Materials by Ke Chen, Hui Hu, Ke Chen, Zhaohui Chen, Xin Wang

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Eliminating Meteorological Dependencies in Solar Power Forecasting: A Deep Learning Solution With NeuralProphet and Real-World Data by Necati Aksoy, Alper Yilmaz, Gokay Bayrak, Mehmet Koc

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Machine Learning Based Engagement Prediction for Online Courses by Wang Wanning

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Predicting sport event outcomes using deep learning by Jianxiong Gao, Yi Cheng, Jianwei Gao

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Fostering children’s creativity through LLM-driven storytelling with a social robot by Maha Elgarf, Hanan Salam, Christopher Peters

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Quality prediction of air-cured cigar tobacco leaf using region-based neural networks combined with visible and near-infrared hyperspectral imaging by Jianxun Yin, Jun Wang, Jian Jiang, Jian Xu, Liang Zhao, Anfu Hu, Qian Xia, Zhihan Zhang, Ming Cai

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E-Commerce Customer Segmentation: A Clustering Approach in A Web-Based Platform by P. Rajapandian, A. Karunamurthy, V. Vasanth, M. Meganathan

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Artificial Intelligence in Paediatric Urology: Transforming Diagnosis and Treatment by Wesam Khan

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A comprehensive survey on customer churn analysis studies by Maryam Shahabikargar, Amin Beheshti, Xuyun Zhang, Jin Foo, Alireza Jolfaei

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Radiation-induced lung injury: from mechanism to prognosis and drug therapy by Sheng Wang, Duo Xu, Lingyan Xiao, Bo Liu, Xianglin Yuan

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MACHINE LEARNING AND ECONOMETRICS: BRIDGING THE GAP FOR ENHANCED ECONOMIC ANALYSIS by Jamiu Adeniyi Yusuf, Abdulkadri IDRIS, Azeez Olawale AKINLOLU

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Artificial Intelligence and Digital Twins for Sustainable Waste Management: A Bibliometric and Thematic Review by Paola Campana, Riccardo Censi, Anna Maria Tarola, Roberto Ruggieri

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Cami Cemaatine Göre Din Görevlilerinin Rol Modelliği by Macid Yılmaz, Hüseyin Emre Duran

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A Machine-Learning-Based Approach to Informing Student Admission Decisions by Tuo Liu, Cosima Schenk, Stephan Braun, Andreas Frey

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Exploring Quantum Neural Networks for Demand Forecasting by Gleydson Fernandes de Jesus, Maria Heloísa Fraga da Silva, Otto Menegasso Pires, Lucas Cruz da Silva, Clebson dos Santos Cruz, Valéria Loureiro da Silva

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Strategies to Reduce Hospital Length of Stay: Evidence and Challenges by Rahim Hirani, Dhruba Podder, Olivia Stala, Ryan Mohebpour, Raj K. Tiwari, Mill Etienne

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Corrigendum on: Enhancing heart disease prediction accuracy by comparing classification models employing varied feature selection techniques [Serb. Jour. of Elect. Eng., Vol. 21, N... by Editorial

“…The authors of the paper entitled “Enhancing Heart Disease Prediction Accuracy by Comparing Classification Models Employing Varied Feature Selection Techniques”, Lorena Balliu, Blerina Zanaj, Gledis Basha, Elma Zanaj, Elinda Kajo Meçe informed the Editor about necessary correction of the paper, as follows: Acknowledgment section needs to be added to the paper with following text: “Funded by the National Agency for Scientific Research and Innovation (NASRI) in Albania.” …”
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Expanding cryospheric landform inventories – quantitative approaches for underestimated periglacial block- and talus slopes in the Dry Andes of Argentina by Tamara Köhler, Anna Schoch-Baumann, Rainer Bell, Johannes Buckel, Diana Agostina Ortiz, Dario Trombotto Liaudat, Lothar Schrott

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