Yazar "Deif, Mohanad A." için listeleme
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Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach
Deif, Mohanad A.; Solyman, Ahmad Amin Ahmad; Alsharif, Mohammed H.; Uthansakul, Peerapong (MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2021)The sudden increase in patients with severe COVID-19 has obliged doctors to make admissions to intensive care units (ICUs) in health care practices where capacity is exceeded by the demand. To help with difficult triage ... -
A deep bidirectional recurrent neural network for identification of SARS-CoV-2 from viral genome sequences
Deif, Mohanad A.; Solyman, Ahmad Amin Ahmad; Kamarposhti, Mehrdad Ahmadi; Band, Shahab S.; Hammam, Rania E. (AMER INST MATHEMATICAL SCIENCES-AIMS, PO BOX 2604, SPRINGFIELD, MO 65801-2604, 2021)In this work, Deep Bidirectional Recurrent Neural Networks (BRNNs) models were implemented based on both Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) cells in order to distinguish between genome sequence ... -
Design of Biodegradable Mg Alloy for Abdominal Aortic Aneurysm Repair (AAAR) Using ANFIS Regression Model
Hammam, Rania E.; Solyman, Ahmad Amin Ahmad; Alsharif, Mohammed H.; Uthansakul, Peerapong; Deif, Mohanad A. (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141, 2022)ABSTRACT Abdominal aortic aneurysm (AAA) is among the most widespread and dangerous diseases that may cause death. Recently, Endovascular Aneurysm Repair outperformed open aortic surgery, since it is a safe and reliable ... -
Diagnosis of Oral Squamous Cell Carcinoma Using Deep Neural Networks and Binary Particle Swarm Optimization on Histopathological Images: An AIoMT Approach
Deif, Mohanad A.; Attar, Hani; Amer, Ayman; Elhaty, Ismail A. M.; Khosravi, Mohammad R.; Solyman, Ahmad Amin Ahmad (HINDAWI LTD, ADAM HOUSE, 3RD FLR, 1 FITZROY SQ, LONDON W1T 5HF, ENGLAND, 2022)Overall prediction of oral cavity squamous cell carcinoma (OCSCC) remains inadequate, as more than half of patients with oral cavity cancer are detected at later stages. It is generally accepted that the differential ... -
A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area
Deif, Mohanad A.; Solyman, Ahmad Amin Ahmad; Alsharif, Mohammed H.; Jung, Seungwon; Hwang, Eenjun (MDPI, ST ALBAN-ANLAGE 66, CH-4052 BASEL, SWITZERLAND, 2022)Temperature forecasting is an area of ongoing research because of its importance in all life aspects. However, because a variety of climate factors controls the temperature, it is a never-ending challenge. The numerical ...