Hisatoshi Toriya - Concepedia

Author

Hisatoshi Toriya

Hokkaido University ORCID

Also Known As

Hisatoshi Toriya

Publications

292

Citations

H-Index

Concepts

All Affiliations

Hokkaido University Akita University National Institute of Technology, Asahikawa College University of Botswana

About

Hisatoshi Toriya is an author at Hokkaido University specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	157
2	Civil Engineering	4	4	97
3	Data Science	4	4	96
4	Construction Engineering	1	1	24
5	Geography	1	1	20

Hisatoshi Toriya

Publications

209

Citations

H-Index

Page 1

	Year	Citations
Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms Yewuhalashet Fissha, Jitendra Khatti, Hajime Ikeda, Scientific Reports	2024	42
Application of Bayesian Neural Network (BNN) for the Prediction of Blast-Induced Ground Vibration Yewuhalashet Fissha, Hajime Ikeda, Hisatoshi Toriya, Applied Sciences EngineeringMachine LearningMachine Learning ToolBlastingDisaster Detection	2023	38
One-Dimensional Convolutional Neural Network for Pipe Jacking EPB TBM Cutter Wear Prediction Kürşat Kiliç, Hisatoshi Toriya, Yoshino Kosugi, Applied Sciences Geotechnical EngineeringEngineeringMachine LearningMachine ParametersTool Wear	2022	24
SAR2OPT: Image Alignment Between Multi-Modal Images Using Generative Adversarial Networks Hisatoshi Toriya, Ashraf Dewan, Itaru Kitahara Image AnalysisMachine VisionEngineeringSynthetic Aperture RadarPattern Recognition	2019	21
Spectral Angle Mapping and AI Methods Applied in Automatic Identification of Placer Deposit Magnetite Using Multispectral Camera Mounted on UAV Brian Bino Sinaice, Narihiro Owada, Hajime Ikeda, Minerals Artificial IntelligenceEngineeringMultispectral ImagingField RoboticsUav Drone	2022	20
Coupling NCA Dimensionality Reduction with Machine Learning in Multispectral Rock Classification Problems Brian Bino Sinaice, Narihiro Owada, Mahdi Saadat, Minerals EngineeringMachine LearningMultispectral ImagingComplexity ReductionEarth Science	2021	19
One-Dimensional Convolutional Neural Network for Drill Bit Failure Detection in Rotary Percussion Drilling Lesego Senjoba, Jo Sasaki, Yoshino Kosugi, Mining Artificial IntelligenceDrilling MechanicsConvolutional Neural NetworkEngineeringMachine Learning	2021	19
Evaluation and Prediction of Blast-Induced Ground Vibrations: A Gaussian Process Regression (GPR) Approach Yewuhalashet Fissha, Hajime Ikeda, Hisatoshi Toriya, Mining EngineeringBlastingBlast-induced Ground VibrationsMining And ExplorationGeotechnical Engineering	2023	16
Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach Lesego Senjoba, Hajime Ikeda, Hisatoshi Toriya, Applied Sciences	2024	10

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