Farhan amin

Assistant professor

Yeungnam University

South Korea

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About

Farhan Amin is an Assistant Professor at Yeungnam University in South Korea. His research encompasses various areas including advanced machine learning techniques for medical applications, IoT implementations in agriculture, and enhancing safety measures in smart environments. Recent publications include contributions to topics such as lung cancer detection, brain tumor segmentation, and innovative frameworks for dynamic trust management in IoT networks.

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Collaborators (4)

Jaehyeok Doh

SOUTH KOREA

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Taha Alfakih

SAUDI ARABIA

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Amerah Alabrah

SAUDI ARABIA

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Mohammad Abrar

OMAN

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Farhan amin

Research Interests

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Articles (20)

Correction: Ullah et al. Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures. Mathematics 2023, 11, 4189

Lightweight Advanced Deep Neural Network (DNN) Model for Early-Stage Lung Cancer Detection

The role of Internet of Things (IoT) technology in modern cultivation for the implementation of greenhouses

Advanced Line-of-Sight (LOS) model for communicating devices in modern indoor environment

An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning

Enhancing Road Crack Localization for Sustainable Road Safety Using HCTNet

Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning

Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare

City Hotspot Identification Using Smart Cyber-Physical Social System

Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks

Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network

Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach

Enhancing Security and Efficiency in Underwater Wireless Sensor Networks: A Lightweight Key Management Framework

Health Monitoring Apps: An Evaluation of the Persuasive System Design Model for Human Wellbeing

Brain Tumor Segmentation Using a Patch-Based Convolutional Neural Network: A Big Data Analysis Approach

Lidar Point Cloud Compression, Processing and Learning for Autonomous Driving

Big Data Analytics Using Graph Signal Processing

An Overview of Medium Access Control and Radio Duty Cycling Protocols for Internet of Things

A Step toward Next-Generation Advancements in the Internet of Things Technologies

Recent Advances in Internet of Things and Emerging Social Internet of Things: Vision, Challenges and Trends

Collaborators (4)

Jaehyeok Doh

Taha Alfakih

Amerah Alabrah

Mohammad Abrar

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