Browsing Technology Innovation and Engineering Education Unit by Author "Khandakar, Amith"
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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 ... -
Application of Green Polymeric Nanocomposites for Enhanced Oil Recovery by Spontaneous Imbibition from Carbonate Reservoirs
Ahmadi, Yaser; Ayari, Mohamed Arselene; Olfati, Meysam; Hosseini, Seyyed Hossein; Khandakar, Amith; Vaferi, Behzad; Olazar, Martin... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)This study experimentally investigates the effect of green polymeric nanoparticles on the interfacial tension (IFT) and wettability of carbonate reservoirs to effectively change the enhanced oil recovery (EOR) parameters. ... -
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. ... -
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, ... -
Deep learning techniques for liver and liver tumor segmentation: A review
Gul, Sidra; Khan, Muhammad Salman; Bibi, Asima; Khandakar, Amith; Ayari, Mohamed Arselene; Chowdhury, Muhammad E.H.... more authors ... less authors ( Elsevier , 2022 , Article)Liver and liver tumor segmentation from 3D volumetric images has been an active research area in the medical image processing domain for the last few decades. The existence of other organs such as the heart, spleen, stomach, ... -
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 ... -
Differentiation among stability regimes of alumina-water nanofluids using smart classifiers
Daryayehsalameh, Bahador; Ayari, Mohamed Arselene; Tounsi, Abdelouahed; Khandakar, Amith; Vaferi, Behzad ( Techno Press , 2022 , Article)Nanofluids have recently triggered a substantial scientific interest as cooling media. However, their stability is challenging for successful engagement in industrial applications. Different factors, including temperature, ... -
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 ... -
Explainable deep learning model for automatic mulberry leaf disease classification
Nahiduzzaman, Md; Chowdhury, Muhammad E.H.; Salam, Abdus; Nahid, Emama; Ahmed, Faruque; Al-Emadi, Nasser; Ayari, Mohamed Arselene; Khandakar, Amith; Haider, Julfikar... more authors ... less authors ( Frontiers Media SA , 2023 , Article)Mulberry leaves feed Bombyx mori silkworms to generate silk thread. Diseases that affect mulberry leaves have reduced crop and silk yields in sericulture, which produces 90% of the world’s raw silk. Manual leaf disease ... -
IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques
Ahamed, Md Faysal; Syfullah, Md Khalid; Sarkar, Ovi; Islam, Md Tohidul; Nahiduzzaman, Md; Islam, Md Rabiul; Khandakar, Amith; Ayari, Mohamed Arselene; Chowdhury, Muhammad E.H.... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Colorectal polyps in the colon or rectum are precancerous growths that can lead to a more severe disease called colorectal cancer. Accurate segmentation of polyps using medical imaging data is essential for effective ... -
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 ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
Hosseini, Saleh; Khandakar, Amith; Chowdhury, Muhammad E.H.; Ayari, Mohamed Arselene; Rahman, Tawsifur; Chowdhury, Moajjem Hossain; Vaferi, Behzad... more authors ... less authors ( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
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 ...