Kyung Hee University

research

∙ 02/20/2020

Multi-Agent Meta-Reinforcement Learning for Self-Powered and Sustainable Edge Computing Systems

The stringent requirements of mobile edge computing (MEC) applications a...

Md. Shirajum Munir, et al. ∙

research

∙ 08/02/2021

Risk Adversarial Learning System for Connected and Autonomous Vehicle Charging

In this paper, the design of a rational decision support system (RDSS) f...

Md. Shirajum Munir, et al. ∙

research

∙ 07/16/2019

An Inter-Layer Weight Prediction and Quantization for Deep Neural Networks based on a Smoothly Varying Weight Hypothesis

Network compression for deep neural networks has become an important par...

Kang-Ho Lee, et al. ∙

research

∙ 08/30/2018

Artifacts Detection and Error Block Analysis from Broadcasted Videos

With the advancement of IPTV and HDTV technology, previous subtle errors...

Md. Mehedi Hasan, et al. ∙

research

∙ 07/11/2019

Hybrid Residual Attention Network for Single Image Super Resolution

The extraction and proper utilization of convolution neural network (CNN...

Abdul Muqeet, et al. ∙

research

∙ 02/21/2020

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach

In this paper, we design a navigation policy for multiple unmanned aeria...

Sarder Fakhrul Abedin, et al. ∙

research

∙ 02/12/2018

Ultra-Reliable Communication in 5G mmWave Networks: A Risk-Sensitive Approach

In this letter, we investigate the problem of providing gigabit wireless...

Trung Kien Vu, et al. ∙

research

∙ 03/02/2018

Decentralized Computation Offloading and Resource Allocation in Heterogeneous Networks with Mobile Edge Computing

We consider a heterogeneous network with mobile edge computing, where a ...

Quoc-Viet Pham, et al. ∙

research

∙ 05/11/2018

Deep Hierarchical Reinforcement Learning Algorithm in Partially Observable Markov Decision Processes

In recent years, reinforcement learning has achieved many remarkable suc...

Le Pham Tuyen, et al. ∙

research

∙ 12/28/2018

Center Emphasized Visual Saliency and Contrast-based Full Reference Image Quality Index

Objective Image Quality Assessment (IQA) is imperative in this multimedi...

Md Abu Layek, et al. ∙

research

∙ 02/05/2019

eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach

Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) ...

Madyan Alsenwi, et al. ∙

research

∙ 02/12/2019

Orchestrating Product Provenance Story: When IOTA ECOSYSTEM Meets The Electronics Supply Chain Space

"Trustworthy data" is the fuel for ensuring the transparent traceability...

Sabah Suhail, et al. ∙

research

∙ 06/25/2019

New pointwise convolution in Deep Neural Networks through Extremely Fast and Non Parametric Transforms

Some conventional transforms such as Discrete Walsh-Hadamard Transform (...

Joonhyun Jeong, et al. ∙

research

∙ 08/01/2019

Learning-Driven Wireless Communications, towards 6G

The fifth generation (5G) of wireless communication is in its infancy, a...

Md. Jalil Piran, et al. ∙

research

∙ 09/11/2019

Edge Computing Enabled Smart Cities: A Comprehensive Survey

Recent years have disclosed a remarkable proliferation of compute-intens...

Latif U. Khan, et al. ∙

research

∙ 09/24/2019

Power Allocation in Cache-Aided NOMA Systems: Optimization and Deep Reinforcement Learning Approaches

This work exploits the advantages of two prominent techniques in future ...

Khai Nguyen Doan, et al. ∙

research

∙ 10/02/2019

On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation

Reconfigurable intelligent surfaces (RISs) have recently emerged as a pr...

Minchae Jung, et al. ∙

research

∙ 11/06/2019

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Recent years have witnessed a rapid proliferation of smart Internet of T...

Latif U. Khan, et al. ∙

research

∙ 12/17/2019

Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing

This letter studies an ultra-reliable low latency communication problem ...

Sadeep Batewela, et al. ∙

research

∙ 01/22/2020

Reinforcement Learning Based Vehicle-cell Association Algorithm for Highly Mobile Millimeter Wave Communication

Vehicle-to-everything (V2X) communication is a growing area of communica...

Hamza Khan, et al. ∙

research

∙ 03/10/2020

Coexistence Mechanism between eMBB and uRLLC in 5G Wireless Networks

uRLLC and eMBB are two influential services of the emerging 5G cellular ...

Anupam Kumar Bairagi, et al. ∙

research

∙ 04/22/2020

On the Role of Hash-based Signatures in Quantum-Safe Internet of Things: Current Solutions and Future Directions

The Internet of Things (IoT) is gaining ground as a pervasive presence a...

Sabah Suhail, et al. ∙

research

∙ 07/27/2020

Controlling the Outbreak of COVID-19: A Noncooperative Game Perspective

COVID-19 is a global epidemic. Till now, there is no remedy for this epi...

Anupam Kumar Bairagi, et al. ∙

research

∙ 11/05/2020

Video Big Data Analytics in the Cloud: Research Issues and Challenges

On the rise of distributed computing technologies, video big data analyt...

Aftab Alam, et al. ∙

research

∙ 12/10/2020

A Practical Approach towards Causality Mining in Clinical Text using Active Transfer Learning

Objective: Causality mining is an active research area, which requires t...

Musarrat Hussain, et al. ∙

research

∙ 03/31/2021

Ultra-Reliable Indoor Millimeter Wave Communications using Multiple Artificial Intelligence-Powered Intelligent Surfaces

In this paper, a novel framework for guaranteeing ultra-reliable millime...

Mehdi Naderi Soorki, et al. ∙

research

∙ 04/04/2021

Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models

Convolutional neural networks are showing promise in the automatic diagn...

Ashkan Khakzar, et al. ∙

research

∙ 04/19/2021

Learning adaptive coarse spaces of BDDC algorithms for stochastic elliptic problems with oscillatory and high contrast coefficients

In this paper, we consider the balancing domain decomposition by constra...

Eric Chung, et al. ∙

research

∙ 07/23/2021

Unrealistic Feature Suppression for Generative Adversarial Networks

Due to the unstable nature of minimax game between generator and discrim...

Sanghun Kim, et al. ∙

research

∙ 07/27/2021

Continual Learning with Neuron Activation Importance

Continual learning is a concept of online learning with multiple sequent...

Sohee Kim, et al. ∙

research

∙ 10/04/2021

Optimal hybrid parameter selection for stable sequential solution of inverse heat conduction problem

To deal with the ill-posed nature of the inverse heat conduction problem...

C. Ahn, et al. ∙

research

∙ 10/03/2021

Interactive Segmentation for COVID-19 Infection Quantification on Longitudinal CT scans

Consistent segmentation of COVID-19 patient's CT scans across multiple t...

Michelle Xiao-Lin Foo, et al. ∙

research

∙ 10/09/2021

Predicting decision-making in the future: Human versus Machine

Deep neural networks (DNNs) have become remarkably successful in data pr...

Hoe Sung Ryu, et al. ∙

research

∙ 10/19/2021

PR-CIM: a Variation-Aware Binary-Neural-Network Framework for Process-Resilient Computation-in-memory

Binary neural networks (BNNs) that use 1-bit weights and activations hav...

Minh-Son Le, et al. ∙

Kyung Hee University

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