Classification of sleep stages using multi-wavelet time frequency entropy and LDA L Fraiwan, K Lweesy, N Khasawneh, M Fraiwan, H Wenz, H Dickhaus Methods of information in Medicine 49 (03), 230-237, 2010 | 105 | 2010 |
On the automatic detection and classification of skin cancer using deep transfer learning M Fraiwan, E Faouri Sensors 22 (13), 4963, 2022 | 94 | 2022 |
A review of chatgpt applications in education, marketing, software engineering, and healthcare: Benefits, drawbacks, and research directions M Fraiwan, N Khasawneh arXiv preprint arXiv:2305.00237, 2023 | 93 | 2023 |
Recognition of pulmonary diseases from lung sounds using convolutional neural networks and long short-term memory M Fraiwan, L Fraiwan, M Alkhodari, O Hassanin Journal of Ambient Intelligence and Humanized Computing, 1-13, 2022 | 83 | 2022 |
Automatic identification of respiratory diseases from stethoscopic lung sound signals using ensemble classifiers L Fraiwan, O Hassanin, M Fraiwan, B Khassawneh, AM Ibnian, ... Biocybernetics and Biomedical Engineering 41 (1), 1-14, 2021 | 82 | 2021 |
A dataset of lung sounds recorded from the chest wall using an electronic stethoscope M Fraiwan, L Fraiwan, B Khassawneh, A Ibnian Data in Brief 35, 106913, 2021 | 80 | 2021 |
Detection of covid-19 from chest x-ray images using deep convolutional neural networks N Khasawneh, M Fraiwan, L Fraiwan, B Khassawneh, A Ibnian Sensors 21 (17), 5940, 2021 | 63 | 2021 |
Using deep transfer learning to detect scoliosis and spondylolisthesis from X-ray images M Fraiwan, Z Audat, L Fraiwan, T Manasreh Plos one 17 (5), e0267851, 2022 | 52 | 2022 |
Time frequency analysis for automated sleep stage identification in fullterm and preterm neonates L Fraiwan, K Lweesy, N Khasawneh, M Fraiwan, H Wenz, H Dickhaus Journal of medical systems 35, 693-702, 2011 | 47 | 2011 |
Smartphone-based respiratory rate estimation using photoplethysmographic imaging and discrete wavelet transform M Alafeef, M Fraiwan Journal of Ambient Intelligence and Humanized Computing 11, 693-703, 2020 | 35 | 2020 |
On the diagnosis of idiopathic Parkinson’s disease using continuous wavelet transform complex plot M Alafeef, M Fraiwan Journal of Ambient Intelligence and Humanized Computing 10 (7), 2805-2815, 2019 | 34 | 2019 |
Gauging human visual interest using multiscale entropy analysis of EEG signals M Fraiwan, M Alafeef, F Almomani Journal of Ambient Intelligence and Humanized Computing 12 (2), 2435-2447, 2021 | 33 | 2021 |
Using artificial intelligence to predict survivability likelihood and need for surgery in horses presented with acute abdomen (colic) MA Fraiwan, SM Abutarbush Journal of equine veterinary science 90, 102973, 2020 | 32 | 2020 |
Analysis and identification of malicious javascript code M Fraiwan, R Al-Salman, N Khasawneh, S Conrad Information Security Journal: A Global Perspective 21 (1), 1-11, 2012 | 32 | 2012 |
Classification of Corn Diseases from Leaf Images Using Deep Transfer Learning F Mohammad, E Faouri, N Khasawneh Plants 11 (20), 2668, 2022 | 31 | 2022 |
Detection of K-complexes in EEG signals using deep transfer learning and YOLOv3 N Khasawneh, M Fraiwan, L Fraiwan Cluster Computing 26 (6), 3985-3995, 2023 | 29 | 2023 |
Automatic detection of tomato diseases using deep transfer learning N Khasawneh, E Faouri, M Fraiwan Applied Sciences 12 (17), 8467, 2022 | 25 | 2022 |
A new algorithm for arabic optical character recognition. O Al-Jarrah, S Al-Kiswany, B Al-Gharaibeh, M Fraiwan, H Khasawneh WSEAS Transactions on Information Science and Applications 3 (4), 832-845, 2006 | 24 | 2006 |
Detection of K-complexes in EEG waveform images using faster R-CNN and deep transfer learning N Khasawneh, M Fraiwan, L Fraiwan BMC Medical Informatics and Decision Making 22 (1), 297, 2022 | 23 | 2022 |
Identification of markers and artificial intelligence-based classification of radical Twitter data M Fraiwan Applied Computing and Informatics, 2022 | 21 | 2022 |