Browsing by Author "Rahman, Tawsifur"
Now showing items 1-20 of 29
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A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images
( 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 nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
( Elsevier , 2021 , Article)Background: Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques ... -
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
( 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
( 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
( 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. ... -
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ... -
Blind ECG Restoration by Operational Cycle-GANs
( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ... -
Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images
( MDPI , 2022 , Article)Haemoglobin (Hb) electrophoresis is a method of blood testing used to detect thalassaemia. However, the interpretation of the result of the electrophoresis test itself is a complex task. Expert haematologists, specifically ... -
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
( IEEE , 2023 , Article)Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ... -
DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Diabetic sensorimotor polyneuropathy (DSPN) leads to pain, diabetic foot ulceration (DFU), amputation, and death. The diagnosis of advanced DSPN to identify those at risk is key to preventing DFU and amputation. Alterations ... -
An Early Warning Tool for Predicting Mortality Risk of COVID-19 Patients Using Machine Learning
( Springer , 2021 , Article)COVID-19 pandemic has created an extreme pressure on the global healthcare services. Fast, reliable, and early clinical assessment of the severity of the disease can help in allocating and prioritizing resources to reduce ... -
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
( 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
( 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 ... -
Future Techniques and Perspectives on Implanted and Wearable Heart Failure Detection Devices
( wiley , 2022 , Book chapter)This chapter discusses the applications and challenges of implantable devices for heart failure (HF) monitoring, as well as their prospects and limitations, and lists some of the data sets recently collected from wearable ... -
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from ... -
Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements
( Springer Nature , 2022 , Article)Sex prediction from bone measurements that display sexual dimorphism is one of the most important aspects of forensic anthropology. Some bones like the skull and pelvis display distinct morphological traits that are based ... -
A machine learning model for early detection of diabetic foot using thermogram images
( Elsevier , 2021 , Article)Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through ... -
NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals
( Elsevier , 2022 , Article)Backgroundand Motivations: Continuous Blood Pressure (BP) monitoring is crucial for real-time health tracking, especially for people with hypertension and cardiovascular diseases (CVDs). The current cuff-based BP monitoring ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
( 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 ...
