Browsing Civil & Architectural Engineering by Author "Chowdhury, Muhammad E.H."
Now showing items 1-20 of 22
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A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
Alyafei, Khalid; Ahmed, Rashid; Abir, Farhan Fuad; Chowdhury, Muhammad E.H.; Naji, Khalid Kamal ( Elsevier , 2022 , Article Review)Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ... -
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 ... -
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 Framework for Liver Segmentation from T1-Weighted MRI Images
Hossain, Md Sakib Abrar; Gul, Sidra; Chowdhury, Muhammad E.H.; Khan, Muhammad Salman; Sumon, Md Shaheenur Islam; Bhuiyan, Enamul Haque; Khandakar, Amith; Hossain, Maqsud; Sadique, Abdus; Al-Hashimi, Israa; Ayari, Mohamed Arselene; Mahmud, Sakib; Alqahtani, Abdulrahman... more authors ... less authors ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)The human liver exhibits variable characteristics and anatomical information, which is often ambiguous in radiological images. Machine learning can be of great assistance in automatically segmenting the liver in radiological ... -
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 ... -
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 ... -
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 ... -
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
Shuzan, Md N.; Chowdhury, Moajjem H.; Chowdhury, Muhammad E. H.; Murugappan, Murugappan; Hoque Bhuiyan, Enamul; Arslane Ayari, Mohamed; Khandakar, Amith... more authors ... less authors ( MDPI , 2023 , Article)The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications ... -
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 ... -
PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data
Abir, Farhan Fuad; Alyafei, Khalid; Chowdhury, Muhammad E.H.; Khandakar, Amith; Ahmed, Rashid; Hossain, Muhammad Maqsud; Mahmud, Sakib; Rahman, Ashiqur; Abbas, Tareq O.; Zughaier, Susu M.; Naji, Khalid Kamal... more authors ... less authors ( Elsevier , 2022 , Article)While the advanced diagnostic tools and healthcare management protocols have been struggling to contain the COVID-19 pandemic, the spread of the contagious viral pathogen before the symptom onset acted as the Achilles' ... -
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 ... -
Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization
Rahman, Tawsifur; Khandakar, Amith; Kadir, Muhammad Abdul; Islam, Khandaker Rejaul; Islam, Khandakar F.; Mazhar, Rashid; Hamid, Tahir; Islam, Mohammad Tariqul; Kashem, Saad; Mahbub, Zaid Bin; Ayari, Mohamed Arselene; Chowdhury, Muhammad E. H.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Tuberculosis (TB) is a chronic lung disease that occurs due to bacterial infection and is one of the top 10 leading causes of death. Accurate and early detection of TB is very important, otherwise, it could be life-threatening. ... -
Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters
Kanchon Kanti, Podder; Emdad Khan, Ludmila; Chakma, Jyoti; Chowdhury, Muhammad E.H.; Dutta, Proma; Salam, Khan Md Anwarus; Khandakar, Amith; Ayari, Mohamed Arselene; Bhawmick, Bikash Kumar; Islam, S M Arafin; Kiranyaz, Serkan... more authors ... less authors ( Elsevier , 2023 , Article)According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning ...