A5090097028- Digital Media Forensic Detection
- Insect symbiosis and bacterial influences
- Insect behavior and control techniques
- Anomaly Detection Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Rabies epidemiology and control
- Tactile and Sensory Interactions
- Phonocardiography and Auscultation Techniques
- Imbalanced Data Classification Techniques
- Solar Radiation and Photovoltaics
- Sleep and Work-Related Fatigue
- Cancer Diagnosis and Treatment
- Gaze Tracking and Assistive Technology
- Insect Utilization and Effects
- Photovoltaic System Optimization Techniques
- Advanced Optical Sensing Technologies
- ECG Monitoring and Analysis
- Cancer Genomics and Diagnostics
- Machine Learning in Healthcare
- Solar Thermal and Photovoltaic Systems
- Insect Resistance and Genetics
- Artificial Intelligence in Healthcare
BRAC University
2022-2025
Monash University Malaysia
2019-2020
The ongoing epidemic of gun violence worldwide has compelled various agencies, businesses and consumers to deploy closed-circuit television (CCTV) surveillance cameras in attempt combat this epidemic. An active-based CCTV system extends platform autonomously detect potential firearms within a video perspective. However, detecting firearm across varying camera angles, depth illumination represents an arduous task which seen limited success using existing deep neural networks models. This...
Diabetes Mellitus is one of the world's leading causes mortality, with a worldwide death toll estimated to be in millions. It determined by concentration sugar molecule blood, which produced from glucose. Predicting likelihood contracting this illness may now done using plethora methods. Data about diabetic patients must comprehensive and accurate order accurately forecast onset disease. In paper, we discussed early-stage diabetes prediction six algorithms. The algorithms are Gradient...
Objective: Heart murmurs are abnormal sounds caused by turbulent blood flow within the heart. Several diagnostic methods available to detect heart and their severity, such as cardiac auscultation, echocardiography, phonocardiogram (PCG), etc. However, these have limitations, including extensive training experience among healthcare providers, cost accessibility of well noise interference PCG data processing. This study aims develop a novel end-to-end real-time murmur detection approach using...
Abstract Context While current efforts to control agricultural insect pests largely focus on the widespread use of insecticides, predicting microbiome composition can provide important data for creating more efficient and long-lasting pest methods by analysing pest’s food-digesting capacity resistance bacteria or viruses. Aims Instead using computationally expensive techniques, we aim investigate dynamics these compositions metagenomic samples taken from fruit flies. Methods In this paper,...
Sleep stages play an essential role in the identification of sleep patterns and diagnosis disorders. In this study, we present automated stage classifier termed Attentive Dilated Convolutional Neural Network (AttDiCNN), which uses deep learning methodologies to address challenges related data heterogeneity, computational complexity, reliable automatic staging. We employed a force-directed layout based on visibility graph capture most significant information from EEG signals, representing...
The metastatic propensity of malignant primary tumors is a recurring theme when it comes to the cause mortality in cancer. Establishing site cancer significant but challenging task. There are ∼3% cases diagnosed as unknown (CUP), and conventional diagnostic process fails detect for 80% CUP patients. Benefiting from explosion information available large-scale tumor DNA sequencing projects, became favorable predict sites genomic perspective. existing methods on task intensively studied...