المؤلفون: Sajidah Al-Hammouri, Malak Fora, Mohammed Ibbini

المصدر: 2021 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::451a4c5cdbcd605d698b71664c727bf4
https://doi.org/10.1109/jeeit53412.2021.9634135

المؤلفون: Rim Barioul, Khaldon Lweesy, Olfa Kanoun, Mohammed Ibbini, Sajidah Al-Hammouri

المصدر: SSD

مصطلحات موضوعية: American Sign Language, business.industry, Computer science, 0206 medical engineering, Work (physics), Feature extraction, Pattern recognition, 02 engineering and technology, 020601 biomedical engineering, Signal, language.human_language, Gesture recognition, 0202 electrical engineering, electronic engineering, information engineering, language, 020201 artificial intelligence & image processing, Time domain, Artificial intelligence, business, Gesture, Extreme learning machine

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cb12762b9f7cbb189dd211822afca3db
https://doi.org/10.1109/ssd52085.2021.9429399

المؤلفون: Sajidah Al-Hammouri, Malak Fora, Awad Al-Zaben

المصدر: 2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT).

مصطلحات موضوعية: Frequency response, medicine.diagnostic_test, Computer science, business.industry, Feature extraction, Beat (acoustics), Cardiac arrhythmia, Pattern recognition, ECG abnormality, Random forest, Heart beat, medicine, Artificial intelligence, business, Electrocardiography

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f0e27ac0110feb8b063bf69fb21cb8c0
https://doi.org/10.1109/jeeit.2019.8717512