Multi-Classification Using YOLOv11 and Hybrid YOLO11n-MobileNet Models: A Fire Classes Case Study by Eman H. Alkhammash

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Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review by Glory O. Adebayo, Roman V. Yampolskiy

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Sorghum yield prediction based on remote sensing and machine learning in conflict affected South Sudan by John Karongo, Joseph Ivivi Mwaniki, John Ndiritu, Victor Mokaya

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Applying genetic algorithm to extreme learning machine in prediction of tumbler index with principal component analysis for iron ore sintering by Senhui Wang

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Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms by Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari

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RISKS, DANGERS, THREATS OF “CONTINUOUS” E-EDUCATION by T. Yu. Krotenko

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Real Time Face-mask Detection with Arduino to Prevent COVID-19 Spreading by Saman M. Almufti, Ridwan B. Marqas, Zakiya A. Nayef, Tamara S. Mohamed

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BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation by David Jozef Hresko, Peter Drotar

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Assessing the performance of zero-shot visual question answering in multimodal large language models for 12-lead ECG image interpretation by Tomohisa Seki, Yoshimasa Kawazoe, Yoshimasa Kawazoe, Hiromasa Ito, Yu Akagi, Toru Takiguchi, Kazuhiko Ohe, Kazuhiko Ohe

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Domain‐Specific Prediction of Clinical Progression in Parkinson's Disease Using the Mosaic Approach by Marlene Tahedl, Ulrich Bogdahn, Bernadette Wimmer, Dennis M. Hedderich, Jan S. Kirschke, Claus Zimmer, Benedikt Wiestler

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Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

Subjects: “…Optimization coupling learning…”
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Generation and study of the synthetic brain electron microscopy dataset for segmentation purpose by N.A. Sokolov, E.P. Vasiliev, A.A. Getmanskaya

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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

Subjects: “…Deep learning…”
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Acquiring and transferring comprehensive catalyst knowledge through integrated high-throughput experimentation and automatic feature engineering by Aya Fujiwara, Sunao Nakanowatari, Yohei Cho, Toshiaki Taniike

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Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence by Lesia Mochurad, Viktoriia Babii, Yuliia Boliubash, Yulianna Mochurad

Subjects: “…Machine learning…”
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Bearing Response Prediction in Hydrothermal Aged Carbon Fiber Reinforced Epoxy Composite Joints Using Machine Learning Techniques by Mohit Kumar, Govind Vashishtha, Babita Dhiman, Sumika Chauhan

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The Relationship Between Education Funding and Student Performance in Unity Schools in Nigeria by Elizabeth Hassan, Wim Groot, Louis Volante

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A PROFILE OF ONLINE COURSE STUDENT by L. V. Popova, N. N. Marfenin, P. L. Pekker

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Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

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Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis by Mohammed M. Farag

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