Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook by Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Souheil Hallit, Souheil Hallit, Diana Malaeb, Hassan Hosseini, Hassan Hosseini

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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

Subjects: “…machine learning (ML)…”
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Estimation of minimum miscible pressure in carbon dioxide gas injection using machine learning methods by Ali Akbari, Ali Ranjbar, Yousef Kazemzadeh, Fatemeh Mohammadinia, Amirjavad Borhani

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Interpreting machine learning models based on SHAP values in predicting suspended sediment concentration by Houda Lamane, Latifa Mouhir, Rachid Moussadek, Bouamar Baghdad, Ozgur Kisi, Ali El Bilali

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Survey of Artificial Intelligence Model Marketplace by Mian Qian, Abubakar Ahmad Musa, Milon Biswas, Yifan Guo, Weixian Liao, Wei Yu

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Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

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Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence by Sagheer Abbas, Fahad Ahmed, Wasim Ahmad Khan, Munir Ahmad, Muhammad Adnan Khan, Taher M. Ghazal

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A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction by Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, Francesco Flammini, Badria Sulaiman Alfurhood, C. M. Naveen Kumar

Subjects: “…Machine learning (ML)…”
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Advancements and future outlook of Artificial Intelligence in energy and climate change modeling by Mobolaji Shobanke, Mehul Bhatt, Ekundayo Shittu

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AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning by Ayesha Nadeem, Muhammad Farhan Hanif, Muhammad Sabir Naveed, Muhammad Tahir Hassan, Mustabshirha Gul, Naveed Husnain, Jianchun Mi

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Optimizing Parkinson’s Disease Prediction: A Comparative Analysis of Data Aggregation Methods Using Multiple Voice Recordings via an Automated Artificial Intelligence Pipeline by Zhengxiao Yang, Hao Zhou, Sudesh Srivastav, Jeffrey G. Shaffer, Kuukua E. Abraham, Samuel M. Naandam, Samuel Kakraba

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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

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AI-Based Hybrid Models for Predicting Loan Risk in the Banking Sector by Vikas Kumar, Shaiku Shahida Saheb, Preeti, Atif Ghayas, Sunil Kumari, Jai Kishan Chandel, Saroj Kumar Pandey, Santosh Kumar

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A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation by Reem Tluli, Ahmed Badawy, Saeed Salem, Mahmoud Barhamgi, Amr Mohamed

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Predicting Students’ Final Performance Using Artificial Neural Networks by Tarik Ahajjam, Mohammed Moutaib, Haidar Aissa, Mourad Azrour, Yousef Farhaoui, Mohammed Fattah

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A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles by Pradeep Kumar Tiwari, Shiv Prakash, Animesh Tripathi, Tiansheng Yang, Rajkumar Singh Rathore, Manish Aggarwal, Narendra Kumar Shukla

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FAIRness Along the Machine Learning Lifecycle Using Dataverse in Combination with MLflow by Lincoln Sherpa, Valentin Khaydarov, Ralph Müller-Pfefferkorn

Subjects: “…machine learning (ml)…”
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PUPIL DIAMETER AND MACHINE LEARNING FOR DEPRESSION DETECTION: A COMPARATIVE STUDY WITH DEEP LEARNING MODELS by Islam MOHAMED, Mohamed EL-WAKAD, Khaled ABBAS, Mohamed ABOAMER, Nader A. Rahman MOHAMED

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Improving catalysts and operating conditions using machine learning in Fischer-Tropsch synthesis of jet fuels (C8-C16) by Parisa Shafiee, Bogdan Dorneanu, Harvey Arellano-Garcia

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Auditory steady state response can predict declining EF in healthy elderly individuals by Xiaopeng Mao, Xiaopeng Mao, Nelly Shenton, Sadasivan Puthusserypady, Martin Johannes Lauritzen, Krisztina Benedek

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