Area of research
Computer Vision and Pattern Recognition · Cognitive Neuroscience
Research interest
Research interests include EEG and Brain-Computer Interfaces, Advanced Image and Video Retrieval Techniques, Image Retrieval and Classification Techniques, and Natural Language Processing Techniques.
Efficient Grant-Free Uplink NOMA With Multi-IRS and Sidelink Relays for IIoT-Driven Smart Factories
Metabolic Cause of Cirrhosis Is the Emerging Etiology for Primary Liver Cancer in the Asia‐Oceania Region: Analysis of Global Burden of Disease (GBD) Study 2021
Adaptive Scheduling of Shared Grant-Free Resources for Heterogeneous Massive Machine Type Communication in 5G and Beyond Networks
A Spatiotemporal Feature Extraction Technique Using Superlet-CNN Fusion for Improved Motor Imagery Classification
EEG based classification of sleep cyclic alternating patterns using frequency driven forward ternary encoding.
Gaussian Filtering-Based Local Ternary Pattern for Efficient Classification of Crop Diseases
Performance of Full-Duplex Cooperative NOMA Network With Direct Link and Battery-Assisted Non-Linear Energy Harvesting Near User
Lung disease detection using EasyNet
Performance Analysis of Downlink Cooperative User Relaying FD/HD NOMA Over Nakagami-$m$ Fading Channels
Convolutional neural network framework for EEG-based ADHD diagnosis in children.
ECG arrhythmia detection in an inter-patient setting using Fourier decomposition and machine learning.
Classification of cyclic alternating patterns of sleep using EEG signals.
Multi-scale Architecture for High Performance RSVP Classification
Cross-Domain Feature Extraction Using CycleGAN for Large FoV Thermal Image Creation
Recent Trends in EEG-Based Motor Imagery Signal Analysis and Recognition: A Comprehensive Review
Fusion of pattern-based and statistical features for Schizophrenia detection from EEG signals.
An Efficient Approach for Recognition of Motor Imagery EEG Signals Using the Fourier Decomposition Method
An Efficient Classification of Focal and Non-Focal EEG Signals Using Adaptive DCT Filter Bank
LexRank and PEGASUS Transformer for Summarization of Legal Documents
6G for bridging the digital divide:wireless connectivity to remote areas
University of Oulu Repository (University of Oulu) 2022cited by 144position: middle
Biometric Identification From ECG Signals Using Fourier Decomposition and Machine Learning
A multi-modal assessment of sleep stages using adaptive Fourier decomposition and machine learning.
A Novel PRFB Decomposition for Nonstationary Time Series and Image Analysis
A Novel PRFB Decomposition for Nonstationary Time Series and Image Analysis
Prediction of COVID-19 Cases and Attribution to Various Factors Across Different Geographical Regions
An efficient method for identification of epileptic seizures from EEG signals using Fourier analysis.
Directional local co-occurrence patterns based on Haar-like filters
Gaussian Local Ternary Co-occurrence Pattern for Image Retrieval
AF-MNS: A Novel AM-FM Based Measure of Non-Stationarity
Modeling and prediction of COVID-19 pandemic using Gaussian mixture model.