Area of research
Computer Vision and Pattern Recognition · Safety, Risk, Reliability and Quality
Research interest
Research interests include Fire Detection and Safety Systems, Video Surveillance and Tracking Methods, Image and Signal Denoising Methods, and Image Enhancement Techniques.
MSIFT: A novel end-to-end mechanical fault diagnosis framework under limited & imbalanced data using multi-source information fusion
Ethical framework for responsible foundational models in medical imaging
Advanced YOLO-Based Real-Time Power Line Detection for Vegetation Management
Efficient Bearing Sensor Data Compression via an Asymmetrical Autoencoder with a Lifting Wavelet Transform Layer
Air Leak Detection Using Sobel-Enhanced YOLO Algorithm from Infrared Images
Eyes Tell the Truth: Gaze Val Highlights Shortcomings of Generative AI in Medical Imaging
A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis
A fully automated classification of third molar development stages using deep learning
Multichannel Orthogonal Transform-Based Perceptron Layers for Efficient ResNets
<i>PT</i> Symmetry-Enabled Physically Unclonable Functions for Anti-Counterfeiting RF Tags
Domain Generalization with fourier Transform and soft thresholding
Electromagnetically unclonable functions generated by non-Hermitian absorber-emitter
<scp>AggregateNet</scp>: A deep learning model for automated classification of cervical vertebrae maturation stages
Wildfire detection via transfer learning: a survey
A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression
0537 Incident Hypertension Prediction in Obstructive Sleep Apnea using Machine Learning
Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer
Fully automated determination of the cervical vertebrae maturation stages using deep learning with directional filters
Block Walsh–Hadamard Transform-based Binary Layers in Deep Neural Networks
Detecting Anomaly in Chemical Sensors via L1-Kernel-Based Principal Component Analysis
Deep-Learning-Based Gas Leak Source Localization From Sparse Sensor Data
EEG Classification by Factoring in Sensor Spatial Configuration
Fast Walsh-Hadamard Transform and Smooth-Thresholding Based Binary Layers in Deep Neural Networks
Review of signal processing applications of Pyroelectric Infrared (PIR) sensors with a focus on respiration rate and heart rate detection
Real-Time Low-Cost Drift Compensation for Chemical Sensors Using a Deep Neural Network With Hadamard Transform and Additive Layers
Fourier Domain Pruning of MobileNet-V2 with Application to Video Based Wildfire Detection
Computationally Efficient Wildfire Detection Method Using a Deep Convolutional Network Pruned via Fourier Analysis
Computationally Efficient Spatio-Temporal Dynamic Texture Recognition for Volatile Organic Compound (VOC) Leakage Detection in Industrial Plants
Deep Convolutional Generative Adversarial Networks for Flame Detection in Video
Additive neural network for forest fire detection