Imran Ashraf

Yeungnam University

South Korea

This profile is automatically generated from trusted academic sources.

Google Scholar

ORCID

How do I reach out?

Meet Kite AI

Contact this professor

ORCID

Google Scholar

Research Interests

Computational Linguistics

30%

Statistics

20%

Machine Learning

50%

Arabic Language

20%

Natural Language Processing

20%

Signal Processing

20%

Predictive Modeling

20%

Ask ApplyKite AI

Start chatting

How can you help me contact this professor?

What are this professor's research interests?

How should I write an email to this professor?

Articles20

Improving Traffic Accident Severity Prediction Using Convoluted Features and Decision-Level Fusion of Models

Article Link

Year:

2024

Towards the development of believable agents: Adopting neural architectures and adaptive neuro-fuzzy inference system via playback of human traces

Article Link

Year:

2024

An improved deep convolutional neural network-based YouTube video classification using textual features

Article Link

Year:

2024

Enabling Technologies and Techniques for Floor Identification

Article Link

Year:

2024

Novel model to authenticate role-based medical users for blockchain-based IoMT devices

Article Link

Year:

2024

Predictive Modeling for Arabic Fake News Detection: Leveraging Language Model Embeddings and Stacked Ensemble

Article Link

Year:

2024

WITHDRAWN: LSAC-Net: A lightweight scale-aware CNN with densely connected focal modulation for retinal blood vessel segmentation

Article Link

Year:

2024

Enhancing photovoltaic systems using Gaussian process regression for parameter identification and fault detection

Article Link

Year:

2024

Selective feature-based ovarian cancer prediction using MobileNet and explainable AI to manage women healthcare

Article Link

Year:

2024

Feature optimization and machine learning for predicting students’ academic performance in higher education institutions

Article Link

Year:

2024

Adaptive Filtering: Issues, Challenges, and Best-Fit Solutions Using Particle Swarm Optimization Variants

Article Link

Year:

2023

Nerve Root Compression Analysis to Find Lumbar Spine Stenosis on MRI Using CNN

Article Link

Year:

2023

Voxel Extraction and Multiclass Classification of Identified Brain Regions across Various Stages of Alzheimer’s Disease Using Machine Learning Approaches

Article Link

Year:

2023

Efficient Classification of ECG Images Using a Lightweight CNN with Attention Module and IoT

Article Link

Year:

2023

Enhancing Diagnosis of Anterior and Inferior Myocardial Infarctions Using UWB Radar and AI-Driven Feature Fusion Approach

Article Link

Year:

2023

Arabic ChatGPT Tweets Classification Using RoBERTa and BERT Ensemble Model

Article Link

Year:

2023

Pragmatic evidence of cross-language link detection: A systematic literature review

Article Link

Year:

2023

A performance overview of machine learning-based defense strategies for advanced persistent threats in industrial control systems

Article Link

Year:

2023

Incorporating Word Embedding and Hybrid Model Random Forest Softmax Regression for Predicting News Categories

Article Link

Year:

2023

A Systematic Literature Review on Identifying Patterns Using Unsupervised Clustering Algorithms: A Data Mining Perspective

Article Link

Year:

2023

Collaborators7

Juan Manuel Castanedo Galán

Profesor

Universidad Europea del Atlántico

SPAIN

Isabel De la Torre

Universidad de Valladolid

SPAIN

Raquel Martínez

Profesora de Seguridad, Higiene y Calidad Alimentaria

Universidad Europea del Atlántico

SPAIN

Anca Delia Jurcut

Dublin City University

IRELAND

Imran Ashraf

Yeungnam University

SOUTH KOREA

Md Abdus Samad

Yeungnam University

SOUTH KOREA

Iñaki Elío

Universidad Europea del Atlántico

SPAIN

How do I reach out?

Meet Kite AI