Kwanho Kim

Ulsan College — South Korea

Engineering · Physical Sciences

26h-index1.9kcitations127works1.52yr avg
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Research Topics

CCD and CMOS Imaging Sensors(17), Energy Load and Power Forecasting(14), Parallel Computing and Optimization Techniques(12), Advanced Memory and Neural Computing(12), Scheduling and Optimization Algorithms(12)

Publications127 total

A Multi-Head Attention-Based TimesNet for Heat Production Planning Under Unknown Future Demands
Energies·2025Open Access
Joint Planning of Heat and Power Production Using Hybrid Deep Neural Networks
Energies·2025Open Access
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions
2025· 1 cited
Reinforcement Learning Autonomous Driving via Reward Function Design in Simulation
2025· 1 cited
Artificial Behavior Intelligence: Technology, Challenges, and Future Directions
arXiv (Cornell University)·2025Open Access
Importance Analysis for Dynamic Control of Balancing Parameter in a Simple Knowledge Distillation Setting
arXiv (Cornell University)·2025Open Access
Impact of Network Structures and Deep Learning on Financial Performance in Buyer-Supplier Networks
Journal of Global Information Management·2025Open Access
An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing
IEEE Access·2025Open Access
A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems
Robotics and Computer-Integrated Manufacturing·2024
An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions
Applied Soft Computing·2024· 8 cited
Comparative Analysis of Machine Learning Techniques in Predicting Wind Power Generation: A Case Study of 2018–2021 Data from Guatemala
Energies·2024· 12 citedOpen Access
Performance Comparisons on Learning Based Prediction Models Considering Electricity Demand Patterns of Buildings
Han-guk jeonja georae hakoeji·2024Open Access
A3C-based Scheduling Model Considering Production, Setup and Job Type Balance in LCD Manufacturing System
Han-guk jeonja georae hakoeji·2024· 1 citedOpen Access
A Framework for State Feature Combination Effect Exploration with Design of Experiments and Metamodels: Focusing on Deep Reinforcement Learning based TFT-LCD Manufacturing Scheduling
Han-guk jeonja georae hakoeji·2024Open Access
Deep Learning-Based Approach for Short-Term Solar Power Forecasting
Springer proceedings in earth and environmental sciences·2024
Comparison Analysis for Electricity Consumption Prediction of Multiple Campus Buildings Using Deep Recurrent Neural Networks
Energies·2023· 3 citedOpen Access
CEO Compensation Holmström and Tirole (1993) Revisited
Journal of Economic Studies·2023
Deep Learning Based Short-term Congestion Prediction Model for Sections of OHT Network in Semiconductor FAB
Han-guk jeonja georae hakoeji·2023Open Access
Discovering Sustainable Business Partnerships through a Deep Learning Approach to Maximize Potential Value
Sustainability·2023· 2 citedOpen Access
A Regression Framework for Energy Consumption in Smart Cities with Encoder-Decoder Recurrent Neural Networks
Energies·2023· 6 citedOpen Access
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Frequent Co-authors

Hoi‐Jun Yoo(15), Joo-Young Kim(10), Seungjin Lee(9), Jonghun Park(8), Berny Carrera(6), Donghun Lee(5), Naehyuck Chang(5), Jae‐Yoon Jung(5), Hyung Gyu Lee(3), Yerim Choi(3), Minsu Kim(3), Jinwook Oh(2), Sejong Oh(2), Victor Luid Piñol(2), Judit Bazin Mata(2), Minsu Kim(2), Hwang Huh(2), Wanik Cho(2), Yujong Noh(2), Jongwoo Kim(2)