Sebelan Danishvar

Brunel University London

United Kingdom

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Articles (30)

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ABD AL RAHMAN M. ABU EBAYYEH

Teaching Fellow in Applied Machine Learning

Imperial College London

UNITED KINGDOM

Alireza Mousavi

College of Engineering

UNITED KINGDOM

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Sebelan Danishvar

Research Interests

Explore related searches

Contact this professor

Articles (30)

Collaborators (2)

ABD AL RAHMAN M. ABU EBAYYEH

Alireza Mousavi

Make your next move.

Sebelan Danishvar

Research Interests

Explore related searches

Contact this professor

Articles (30)

NRBO-AGP: A novel feature selection approach for accurate protein solubility prediction

Numerical Analysis of an Ultra-Sensitive Optical Fiber for Hemoglobin Concentration Detection

Exhaled Breath Analysis (EBA): A Comprehensive Review of Non-Invasive Diagnostic Techniques for Disease Detection

An Ensemble Learning for Automatic Stroke Lesion Segmentation Using Compressive Sensing and Multi-Resolution U-Net

Improved Automatic Deep Model for Automatic Detection of Movement Intention from EEG Signals

Transitioning towards standardised circular economy assessments; application to high-value production from OFMSW biogas

Theoretical and Experimental Study of an Electrokinetic Micromanipulator for Biological Applications

Advancements in PCB Components Recognition Using WaferCaps: A Data Fusion and Deep Learning Approach

Emotion Recognition Using EEG Signals through the Design of a Dry Electrode Based on the Combination of Type 2 Fuzzy Sets and Deep Convolutional Graph Networks

Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks

Automatic Detection of Acute Leukemia (ALL and AML) Utilizing Customized Deep Graph Convolutional Neural Networks

An Automatic Lie Detection Model Using EEG Signals Based on the Combination of Type 2 Fuzzy Sets and Deep Graph Convolutional Networks

Enhancing Readability and Detection of Age-Related Macular Degeneration Using Optical Coherence Tomography Imaging: An AI Approach

Concurrent Learning Approach for Estimation of Pelvic Tilt from Anterior–Posterior Radiograph

The Design of a Photonic Crystal Fiber for Hydrogen Cyanide Gas Detection

A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks

An Ensemble Deep Learning Approach for EEG-Based Emotion Recognition Using Multi-Class CSP

Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks

The Safety Risks of AI-Driven Solutions in Autonomous Road Vehicles

Qualitative Classification of Proximal Femoral Bone Using Geometric Features and Texture Analysis in Collected MRI Images for Bone Density Evaluation

Automatic Liver Tumor Segmentation from CT Images Using Graph Convolutional Network

Customized 2D CNN Model for the Automatic Emotion Recognition Based on EEG Signals

Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional Networks

Developing an Artificial Intelligence Solution to Autosegment the Edentulous Mandibular Bone for Implant Planning

Acute Leukemia Diagnosis Based on Images of Lymphocytes and Monocytes Using Type-II Fuzzy Deep Network

A Customized Efficient Deep Learning Model for the Diagnosis of Acute Leukemia Cells Based on Lymphocyte and Monocyte Images

Salient Arithmetic Data Extraction from Brain Activity via an Improved Deep Network

Waveguide quality inspection in quantum cascade lasers: A capsule neural network approach

Visual Saliency and Image Reconstruction from EEG Signals via an Effective Geometric Deep Network-Based Generative Adversarial Network

Automatically Identified EEG Signals of Movement Intention Based on CNN Network (End-To-End)

Collaborators (2)

ABD AL RAHMAN M. ABU EBAYYEH

Alireza Mousavi

Make your next move.