Imran Ashraf

Yeungnam University

South Korea

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Articles (11)

Hybrid Machine Learning Model for Efficient Botnet Attack Detection in IoT Environment

Year:

2024

GLD-Det: Guava Leaf Disease Detection in Real-Time Using Lightweight Deep Learning Approach Based on MobileNet

Year:

2023

Cardiac Failure Forecasting Based on Clinical Data Using a Lightweight Machine Learning Metamodel

Year:

2023

Image-Based Arabian Camel Breed Classification Using Transfer Learning on CNNs

Year:

2023

Deep Learning-Based IoT System for Remote Monitoring and Early Detection of Health Issues in Real-Time

Year:

2023

Improving the Performance of Autonomous Driving through Deep Reinforcement Learning

Year:

2023

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

Year:

2023

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

Year:

2023

Enhancing Sustainable Urban Energy Management through Short-Term Wind Power Forecasting Using LSTM Neural Network

Year:

2023

A Hybrid Many-Objective Optimization Algorithm for Job Scheduling in Cloud Computing Based on Merge-and-Split Theory

Year:

2023

Classification of Highly Divergent Viruses from DNA/RNA Sequence Using Transformer-Based Models

Year:

2023

Collaborators (4)

Imran Ashraf

Yeungnam University

SOUTH KOREA

Dunren Che

Southern Illinois University Carbondale

UNITED STATES

Anca Delia Jurcut

Dublin City University

IRELAND

Sultan Alfarhood

-

SAUDI ARABIA

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