In-Ho Ra

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Kunsan National University

South Korea

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About

In-Ho Ra is a Professor at Kunsan National University, South Korea. His research areas include deep learning applications in biomedical signal processing, network orchestration frameworks, and machine learning for cloud computing security. Recent publications cover topics such as EEG signal analysis, depression analysis from multilingual text, and effective vehicle detection systems in real-time traffic management.

Recent Grants

Grant: Close

Development of blockchain-based embedded devices and platform for MG security and operational efficiency

Open Date: 2018-04-01

Close Date: 2020-12-01

Grant: Close

Optimization of Network Resource Allocation and Efficient Energy Harvesting Methods for Enhancing Network Reliability of Broadband Public Security Network

Open Date: 2016-06-01

Close Date: 2019-05-01

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2022

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2022

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2022

Collaborators (7)

A. S. M. Sanwar Hosen

Assistant Professor

Woosong University

SOUTH KOREA

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Byungun Yoon

Dongguk University

SOUTH KOREA

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Saurabh Singh

Assistant Professor.

Woosong University

SOUTH KOREA

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Divya Anand

SPAIN

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Abhishek Meena

Dongguk University

SOUTH KOREA

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Gi Hwan Cho

Jeju National University

SOUTH KOREA

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Ranesh Naha

University of Adelaide

AUSTRALIA

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In-Ho Ra

Research Interests

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About

Recent Grants

Articles (20)

Deep Learning Model for Analyzing EEG Signal Analysis

Harnessing the Power of Attention for Patch-Based Biomedical Image Classification

Efficient Sleep Stage Identification Using Piecewise Linear EEG Signal Reduction: A Novel Algorithm for Sleep Disorder Diagnosis

Slice-aware 5G network orchestration framework based on dual-slice isolation and management strategy (D-SIMS)

Artificial Neural Network Based Spectrum Sensing in Wireless Regional Area Network

Efficacious Novel Intrusion Detection System for Cloud Computing Environment

Hierarchical Explainable Network for Investigating Depression from Multilingual Textual Data

Large Language Models and Sentiment Analysis in Financial Markets: A Review, Datasets and Case Study

VNF-Enabled 5G Network Orchestration Framework for Slice Creation, Isolation and Management

An Advanced Job Scheduling Algorithmic Architecture to Reduce Energy Consumption and CO2 Emissions in Multi-Cloud

Digital Image Identification and Verification Using Maximum and Preliminary Score Approach with Watermarking for Security and Validation Enhancement

Optimal Resource Allocation for 5G Network Slice Requests Based on Combined PROMETHEE-II and SLE Strategy

AI-Based Epileptic Seizure Detection and Prediction in Internet of Healthcare Things: A Systematic Review

An Identity-Based Proxy Re-Encryption Scheme With Single-Hop Conditional Delegation and Multi-Hop Ciphertext Evolution for Secure Cloud Data Sharing

Fusion of Deep Sort and Yolov5 for Effective Vehicle Detection and Tracking Scheme in Real-Time Traffic Management Sustainable System

An E2E Network Slicing Framework for Slice Creation and Deployment Using Machine Learning

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles

SPTM-EC: A Security and Privacy-Preserving Task Management in Edge Computing for IIoT

Impact of Healthcare on Stock Market Volatility and Its Predictive Solution Using Improved Neural Network

BENS−B5G: Blockchain-Enabled Network Slicing in 5G and Beyond-5G (B5G) Networks

Collaborators (7)

A. S. M. Sanwar Hosen

Byungun Yoon

Saurabh Singh

Divya Anand

Abhishek Meena

Gi Hwan Cho

Ranesh Naha

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