Enhanced multimodal medical image fusion via modified DWT with arithmetic optimization algorithm von Alzahrani, Ahmad A.

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Bioinspired Image Processing Enabled Facial Emotion Recognition Using Equilibrium Optimizer With a Hybrid Deep Learning Model von Alzahrani, Ahmad A.

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A Food Recommender System Considering Nutritional Information and User Preferences von Yera Toledo, Raciel, Alzahrani, Ahmad A., Martinez, Luis

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New Approach for Automated Epileptic Disease Diagnosis Using an Integrated Self-Organization Map and Radial Basis Function Neural Network Algorithm von Osman, Ahmed Hamza, Alzahrani, Ahmad A.

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Enhanced Small Drone Detection Using Optimized YOLOv8 With Attention Mechanisms von Najihah Muhamad Zamri, Fatin, Gunawan, Teddy Surya, Hajar Yusoff, Siti, Alzahrani, Ahmad A., Bramantoro, Arif, Kartiwi, Mira

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Earliest Possible Global and Local Interpretation of Students' Performance in Virtual Learning Environment by Leveraging Explainable AI von Adnan, Muhammad, Uddin, M. Irfan, Khan, Emel, Alharithi, Fahd S., Amin, Samina, Alzahrani, Ahmad A.

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Computer Vision With Explainable Artificial Intelligence for Visual Pollution Detection in the Kingdom of Saudi Arabia von Mazroa, Alanoud Al, Maray, Mohammed, Alashjaee, Abdullah M., Alotaibi, Faiz Abdullah, Alzahrani, Ahmad A., Alkharashi, Abdulwhab, Alotaibi, Shoayee Dlaim, Alnfiai, Mrim M.

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Content-based group recommender systems: A general taxonomy and further improvements von Pérez-Almaguer, Yilena, Yera, Raciel, Alzahrani, Ahmad A., Martínez, Luis

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Anomaly Detection in Embryo Development and Morphology Using Medical Computer Vision-Aided Swin Transformer with Boosted Dipper-Throated Optimization Algorithm von Mazroa, Alanoud Al, Maashi, Mashael, Said, Yahia, Maray, Mohammed, Alzahrani, Ahmad A, Alkharashi, Abdulwhab, Al-Sharafi, Ali M

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Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation von Yera, Raciel, Barranco, Manuel J., Alzahrani, Ahmad A., Martínez, Luis

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Breaking new ground in cardiovascular heart disease Diagnosis K-RFC: An integrated learning approach with K-means clustering and Random Forest classifier von Osman, Ahmed Hamza, Ibrahim, Ashraf Osman, Alsadoon, Abeer, Alzahrani, Ahmad A, Barukub, Omar Mohammed, Abulfaraj, Anas W., Alharbi, Nesreen M.

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A Systematic Review on Food Recommender Systems for Diabetic Patients von Yera, Raciel, Alzahrani, Ahmad A, Martínez, Luis, Rodríguez, Rosa M

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Fully Automated Density-Based Clustering Method von Bataineh, Bilal, A. Alzahrani, Ahmad

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A blockchain-based hybrid platform for multimedia data processing in IoT-Healthcare von Taloba, Ahmed I., Elhadad, Ahmed, Rayan, Alanazi, Abd El-Aziz, Rasha M., Salem, Mostafa, Alzahrani, Ahmad A., Alharithi, Fahd S., Park, Choonkil

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A Big Data Semantic Driven Context Aware Recommendation Method for Question-Answer Items von Castro, Jorge, Yera Toledo, Raciel, Alzahrani, Ahmad A., Sanchez, Pedro J., Barranco, Manuel J., Martinez, Luis

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Enhancing environmental sustainability with federated LSTM models for AI-driven optimization von Alharithi, Fahd S., Alzahrani, Ahmad A.

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Machine learning approaches for advanced detection of rare genetic disorders in whole-genome sequencing von Alzahrani, Ahmad A., Alharithi, Fahd S.

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A robust deep neural network framework for the detection of diabetes von Shahin, Osama R., Alshammari, Hamoud H., Alzahrani, Ahmad A., Alkhiri, Hassan, Taloba, Ahmed I.

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Leveraging design diversity to counteract process variation: theory, method, and FPGAtoolchain to increase yield and resiliencein‐situ von Alzahrani, Ahmad A., DeMara, Ronald F.

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Leveraging design diversity to counteract process variation: theory, method, and FPGA toolchain to increase yield and resilience in-situ von Alzahrani, Ahmad A, DeMara, Ronald F

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