Publications
Peer-reviewed publications listed in reverse chronological order.
2026
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- A battery-dependent partial offloading scheme with sequential multi-task learning for mobile edge computingFuture Generation Computer Systems, 2026
- A Unified Deep Learning Framework for Energy-Efficient Offloading and Resource Allocation in Multi-Access Edge ComputingInternet of Things, 2026
2025
- A Deep Learning-Based Approach for the Detection of Various Internet of Things Intrusion Attacks Through Optical NetworksPhotonics, 2025
- Integrating Renewable Energy in Agriculture: A Deep Reinforcement Learning-Based ApproachIn Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025
- Optimal Solar PV Site Identification Using AutoEncoders and ClusteringIn Highlights in Practical Applications of Agents, Multi-Agent Systems, and Digital Twins, 2025
- Federated Learning Enabled Digital Twins for Industry 5.0: Perspectives, Challenges, and Future DirectionsIn Federated Learning for Multimedia Data Processing and Security in Industry 5.0, 2025
2024
- TCRSCANet: Harnessing temporal convolutions and recurrent skip component for enhanced RUL estimation in mechanical systemsHuman-Centric Intelligent Systems, 2024
- Link prediction in industrial knowledge graphs: A case study on football manufacturingIEEE Access, 2024
- Integrating I4. 0 Knowledge Graphs with Large Language Models Beyond SPARQL EndpointsISWC 2024, 2024
- Leveraging hybrid deep learning and generative modeling to accurately estimate the remaining useful life of mechanical systems2024
2023
- Self-attention transformer-based architecture for remaining useful life estimation of complex machinesProcedia Computer Science, 2023
2022
- Prediction of machine failure in industry 4.0: a hybrid CNN-LSTM frameworkApplied Sciences, 2022
- Digital twins: modelling languages comparisonIn International Conference on Machine Learning, Optimization, and Data Science, 2022
2021
- TinyML benchmark: Executing fully connected neural networks on commodity microcontrollersIn 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), 2021
- Porting and execution of anomalies detection models on embedded systems in iot: Demo abstractIn Proceedings of the international conference on internet-of-things design and implementation, 2021
2019
- 디컨볼루션 픽셀층 기반의 도로 이미지의 의미론적 분할한국정보처리학회 학술대회논문집, 2019
- Deconvolution Pixel Layer Based Semantic Segmentation for Street View ImagesIn Annual Conference of KIPS, 2019
- Deconvolutional Pixel Layer Model for Road segmentation without Human Assistance.In AICS, 2019
2018
- Caption Generation Model for Images using Convolutional Neural Networks한국정보과학회 학술발표논문집, 2018
2017
- Adaptive Mobile Localization Method for Indoor NavigationAdvanced Science Letters, 2017
- Image denoising method based on directional total variation filteringIn 2017 International Conference on Information and Communication Technology Convergence (ICTC), 2017
- Analogy of Face Recognition Algorithms and Subsequent Impact정보 및 제어 논문집, 2017
2015
- Mobile indoor localization based on rssi using kalman filter and trilateration techniqueIn International Conference on Machine Vision, 2015
2014
- Detection of pedestrians in motion with rotation and scale variationApplied Mechanics and Materials, 2014