Yukinobu Hoshino
Kochi University of Technology, Ritsumeikan University
Research areas: Computer Science · Artificial Intelligence · Fuzzy Logic and Control Systems · Advanced Neural Network Applications · Metaheuristic Optimization Algorithms Research
0000-0001-5285-8007
About
1995 Westmar University in Le Mars, Iowa, United States.
College of Natural Science
BA degree of Double majors
Majors 1 : Computer Science (Math Track)
Majors 2 : Mathematics
Minor : Physics
1997 Master of Computer Science from Ritsumeikan University
2002 Doctor of Engineering from Ritsumeikan University
2002 Lecturer of Ritsumeikan University
2006 Associate Professor of Kochi University of Technology
2024 Professor of Kochi University of Technology
Main Works:
Main topic is trying a fusion the fuzzy theory and the machine learning
system(Soft-Computing) on a Chip(SoC). Soft-Computing system have
usually the intelligent systems, like Fuzzy and Neural Network. On the
industrial machines, many intelligent systems are implemented already,
Machine learning, Fuzzy logic, Genetic Algorithms and so on. On any
cases, the machine’s intelligent system possible to learn human behaviors
for the human supporting. Those phenomena are very complex and include
vague information. Laboratory’s work is development methods about
Machine Learning system to work actions, like human behaviors for SoC.
Employment
- 2003 - Present
- 2001 - 2003
Education
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Ritsumeikan University Doctoral degree1997 - 2002
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Ritsumeikan University Master1995 - 2017
Projects & Funding
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Establishment of AI forecasting technology for the dam storage volume, rainfall, and river flow in Japan and other Asian countries Japan Society for the Promotion of Science2022 - 2025
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Space operation system development for cognitive exercise therapy rehabilitation Japan Society for the Promotion of Science2013 - 2016
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Functional mapping of learning abilities in archaic and modern human brains Japan Society for the Promotion of Science2010 - 2015
Publications (122)
- Effectiveness of Rolling-Sum Preprocessing in River Mouth Water Depth Prediction Using Machine Learning Save
- Solar Hotspot Detection Using VHDL-Simulated Fixed-Point SVM: A Methodology Toward FPGA Realization Save
- Beyond wind speed: Integrating oceanic indices and time-lagged features for superior wind energy prediction Save
- Temporal Morphological Analysis of NK Cells Save
- UFR-GAN: A lightweight multi-degradation image restoration model Save
- Controlling Heterogeneous Multi-Agent Systems Under Uncertainty Using Fuzzy Inference and Evolutionary Search Save
- Efficient Hotspot Detection in Solar Panels via Computer Vision and Machine Learning Save
- Hybridizing Fuzzy Clustering and Ensemble Learning for Accurate River Water Level Prediction Save
- Flow Velocity Analysis of Rivers Using Farneback Optical Flow and STIV Techniques With Drone Data Save
- Performance Evaluation of a Combined Convolutional AutoEncoder and Image Recognition Model for Large Scale Images Save
- Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach Save
- AI-driven predictions of geophysical river flows with vegetation Save
- Human-inspired similarity control system: Enhancing line-following robot perception Save
- Impact of economic indicators on rice production: A machine learning approach in Sri Lanka Save
- Performance of machine learning models to forecast PM10 levels Save
- Performance verification and latency time evaluation of hardware image processing module for appearance inspection systems using FPGA Save
- Artificial intelligence to predict soil temperatures by development of novel model Save
- Characteristics Verification of the Luggage Transportation Problem Using Relative Vectors in Multi-agent Reinforcement Learning Save
- Design and Implementation of ANFIS on FPGA and Verification with Class Classification Problem Save
- Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10 Save