Browsing by Author "Ayari, Mohamed A."
Now showing items 1-16 of 16
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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
Hossain, Amran; Islam, Mohammad T.; Abdul Rahim, Sharul K.; Rahman, Md A.; Rahman, Tawsifur; Arshad, Haslina; Khandakar, Amit; Ayari, Mohamed A.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2023 , Article)Computerized brain tumor classification from the reconstructed microwave brain (RMB) images is important for the examination and observation of the development of brain disease. In this paper, an eight-layered lightweight ... -
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Kiranyaz, Serkan; Rahman, Tawsifur; Chowdhury, Moajjem H.; Ayari, Mohamed A.; Alfkey, Rashad; Bakar, Ahmad Ashrif A.; Malik, Rayaz A.; Hasan, Anwarul... more authors ... less authors ( MDPI , 2022 , Article)Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ... -
A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals
Mahmud, Sakib; Ibtehaz, Nabil; Khandakar, Amith; Tahir, Anas M.; Rahman, Tawsifur; Islam, Khandaker R.; Hossain, Md S.; Rahman, M. S.; Musharavati, Farayi; Ayari, Mohamed A.; Islam, Mohammad T.; Chowdhury, Muhammad E. H.... more authors ... less authors ( MDPI , 2022 , Article)Cardiovascular diseases are the most common causes of death around the world. To detect and treat heart-related diseases, continuous blood pressure (BP) monitoring along with many other parameters are required. Several ... -
Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques
Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Khandakar, Amith; Ayari, Mohamed A.; Khan, Aftab U.; Khan, Muhammad S.; Al-Emadi, Nasser; Reaz, Mamun B.; Islam, Mohammad T.; Ali, Sawal H.... more authors ... less authors ( MDPI , 2021 , Article)Plants are a major source of food for the world population. Plant diseases contribute to production loss, which can be tackled with continuous monitoring. Manual plant disease monitoring is both laborious and error-prone. ... -
Brain mr image enhancement for tumor segmentation using 3d u-net
Ullah, Faizad; Ansari, Shahab U.; Hanif, Muhammad; Ayari, Mohamed A.; Chowdhury, Muhammad E.; Khandakar, Amith A.; Khan, Muhammad S.... more authors ... less authors ( MDPI , 2021 , Article)MRI images are visually inspected by domain experts for the analysis and quantification of the tumorous tissues. Due to the large volumetric data, manual reporting on the images is subjective, cumbersome, and error prone. ... -
Case study to analyze the impact of multi-course project-based learning approach on education for sustainable development
Khandakar, Amith; Chowdhury, Muhammad E.; Gonzales, Antonio Jr. San Pedro; Touati, Farid; Emadi, Nasser A.; Ayari, Mohamed A.... more authors ... less authors ( MDPI , 2020 , Article)This work presents a multi-course project-based learning (MPL) approach implemented using two electrical engineering (EE) interdisciplinary undergraduate courses at Qatar University. Implementing an MPL approach helps in ... -
Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media
Senceroglu, Sait; Ayari, Mohamed A.; Rezaei, Tahereh; Faress, Fardad; Khandakar, Amith; Chowdhury, Muhammad E. H.; Jawhar, Zanko H.... more authors ... less authors ( MDPI , 2022 , Article)This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer-drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, ... -
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature
Khandakar, Amith; Mahmud, Sakib; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Kiranyaz, Serkan; Mahbub, Zaid B.; Ali, Sawal H.; Bakar, Ahmad Ashrif A.; Ayari, Mohamed A.; Alhatou, Mohammed; Abdul-Moniem, Mohammed; Faisal, Md A.... more authors ... less authors ( MDPI , 2022 , Article)An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for ... -
Design and Performance Evaluation of a Novel Spiral Head-Stem Trunnion for Hip Implants Using Finite Element Analysis
Soliman, Md M.; Chowdhury, Muhammad E. H.; Islam, Mohammad T.; Musharavati, Farayi; Mahmud, Sakib; Hafizh, Muhammad; Ayari, Mohamed A.; Khandakar, Amith; Alam, Mohammad K.; Nezhad, Erfan Z.... more authors ... less authors ( MDPI , 2023 , Article)With an expectation of an increased number of revision surgeries and patients receiving orthopedic implants in the coming years, the focus of joint replacement research needs to be on improving the mechanical properties ... -
Enabling Open Innovation in Digital Startups through the Incubation Program-A Case of Qatar
Al Sharif, Reem; Pokharel, Shaligram; Ayari, Mohamed A.; Essam, Marwa; Aqeel, Salwa ( MDPI , 2022 , Article)Researchers have studied open innovation by focusing primarily on big organizations. With digitization, the adoption of open innovation has become widespread, as there is broader access to cheaper and better information ... -
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
Najmi, Maryam; Ayari, Mohamed A.; Sadeghsalehi, Hamidreza; Vaferi, Behzad; Khandakar, Amith; Chowdhury, Muhammad E. H.; Rahman, Tawsifur; Jawhar, Zanko H.... more authors ... less authors ( MDPI , 2022 , Article)Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ... -
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
Wang, Jing; Ayari, Mohamed A.; Khandakar, Amith; Chowdhury, Muhammad E. H.; Uz Zaman, Sm A.; Rahman, Tawsifur; Vaferi, Behzad... more authors ... less authors ( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
Examining engineering students' perceptions of learner agency enactment in problem- and project-based learning using Q methodology
Du, Xiangyun; Lundberg, Adrian; Ayari, Mohamed A.; Naji, Khalid K.; Hawari, Alaa ( John Wiley and Sons Inc , 2022 , Article)Background: Few studies have reported how students enact learner agency in a team setting or examined what elements of team settings students perceive as more supportive of their learning in problem- and project-based ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
Chowdhury, Moajjem H.; Shuzan, Md N.; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Mahmud, Sakib; Al Emadi, Nasser; Ayari, Mohamed A.; Ali, Sawal H.; Bakar, Ahmad Ashrif A.; Rahman, Syed M.; Khandakar, Amith... more authors ... less authors ( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
Ibtehaz, Nabil; Mahmud, Sakib; Chowdhury, Muhammad E. H.; Khandakar, Amith; Salman Khan, Muhammad; Ayari, Mohamed A.; Tahir, Anas M.; Rahman, M. S.... more authors ... less authors ( MDPI , 2022 , Article)Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ... -
Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
Khandakar, Amith; Chowdhury, Muhammad E. H.; Reaz, Mamun B.; Ali, Sawal H.; Abbas, Tariq O.; Alam, Tanvir; Ayari, Mohamed A.; Mahbub, Zaid B.; Habib, Rumana; Rahman, Tawsifur; Tahir, Anas M.; Bakar, Ahmad Ashrif A.; Malik, Rayaz A.... more authors ... less authors ( MDPI , 2022 , Article)Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a ...