Youhei Kawamura 研究室

主宰者：Youhei Kawamura

北海道大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（69 件）

[2026] Artificial intelligence-guided design of metal-doped polymeric carbon nitride/clay composites for increased photocatalytic hydrogen evolution
DOI: https://doi.org/10.1016/j.actphy.2026.100246
[2026] Exploring hyperspectral imaging and regression-based analysis as an alternative to MLA for mineral composition
DOI: https://doi.org/10.1080/17480930.2026.2632872
[2025] Advancing Iron Ore Grade Estimation: A Comparative Study of Machine Learning and Ordinary Kriging
DOI: https://doi.org/10.3390/min15020131
[2025] Artificial Intelligence-Based Hyperspectral Classification of Rare Earth Element-Related Heavy Mineral Sand
DOI: https://doi.org/10.3390/min15101015
[2025] Advancing arsenic contamination detection in boring cores using hyperspectral imaging and convolutional neural networks
DOI: https://doi.org/10.1016/j.gsme.2025.09.004
[2025] Improving Hokkai shrimp tracking accuracy using YOLOv8 with reflection and parallax correction
DOI: https://doi.org/10.1038/s41598-025-01138-4
[2025] WITHDRAWN: Advancing Arsenic Contamination Detection in Boring Cores Using Hyperspectral Imaging and Convolutional Neural Networks
DOI: https://doi.org/10.1016/j.gsme.2025.07.002
[2025] Swarm-based metaheuristic and reptile search algorithm for downstream operation-dependent fragmentation size prediction
DOI: https://doi.org/10.1007/s00521-025-11321-3
[2025] Tunnel Overbreak Prediction: An Integrated Approach Using 3D Photogrammetry and Machine Learning
DOI: https://doi.org/10.1007/s42461-025-01278-1
[2025] Improvement of generalization performance of diagnostic system for drill bit abnormality in rotary percussion drilling with grad-CAM
DOI: https://doi.org/10.1007/s42452-025-06796-7

続きを表示（残り 59 件）

[2025] Recovery of Fine Rare Earth Minerals from Simulated Tin Tailings by Carrier Magnetic Separation: Selective Heterogeneous Agglomeration with Coarse Magnetite Particles
DOI: https://doi.org/10.3390/min15070757
[2025] Utilizing convolutional autoencoders for anomaly detection and drill bit damage assessment in rotary percussion drilling
DOI: https://doi.org/10.46873/2300-3960.1456
[2024] Optimizing multi-spectral ore sorting incorporating wavelength selection utilizing neighborhood component analysis for effective arsenic mineral detection
DOI: https://doi.org/10.1038/s41598-024-62166-0
[2024] 3D reconstruction for pipe-shaped object using an omnidirectional camera and a spherical mirror
DOI: https://doi.org/10.1117/12.3018241
[2024] Influence of chemical composition and discontinuities on energy transformation and rock mass behaviour: Insights into geological dynamic
DOI: https://doi.org/10.1049/tje2.12388
[2024] Soft ground micro TBM jack speed and torque prediction using machine learning models through operator data and micro TBM-log data synchronization
DOI: https://doi.org/10.1038/s41598-024-60681-8
[2024] Cone penetration test-based assessment of liquefaction potential using machine and hybrid learning approaches
DOI: https://doi.org/10.1007/s41939-024-00447-x
[2024] Enhancing rock fragmentation assessment in mine blasting through machine learning algorithms: a practical approach
DOI: https://doi.org/10.1007/s42452-024-05888-0
[2024] Enhancing Interpretability in Drill Bit Wear Analysis through Explainable Artificial Intelligence: A Grad-CAM Approach
DOI: https://doi.org/10.3390/app14093621
[2024] A soft ground micro TBM’s specific energy prediction using an eXplainable neural network through Shapley additive explanation and Optuna
DOI: https://doi.org/10.1007/s10064-024-03670-5
[2024] Effect of rock properties on wear and cutting performance of multi blade circular saw with iron based multi-layer diamond segments
DOI: https://doi.org/10.1038/s41598-024-54625-5
[2024] Enhancing the occupational safety and well-being of mining and construction workers: an application of emotional intelligence training (EIT)
DOI: https://doi.org/10.1007/s42797-023-00098-0
[2024] A comprehensive study on the application of soft computing methods in predicting and evaluating rock fragmentation in an opencast mining
DOI: https://doi.org/10.1007/s12145-024-01488-z
[2024] Data-driven machine learning approaches for simultaneous prediction of peak particle velocity and frequency induced by rock blasting in mining
DOI: https://doi.org/10.1016/j.rockmb.2024.100166
[2024] Integrated spectral image registration protocol for enhanced land pollution assessment and management: bridging satellite and drone data for high-resolution mapping
DOI: https://doi.org/10.1007/s10163-024-02080-9
[2024] APiS (AI powered intelligence spectrum analyser): hyperspectral imaging machine learning analyser app for mineral processing
DOI: https://doi.org/10.1080/17480930.2024.2410041
[2024] An AI-Based Approach for Developing a Recommendation System for Underground Mining Methods Pre-Selection
DOI: https://doi.org/10.3390/mining4040042
[2024] Advanced UAV photogrammetry for precision 3D modeling in GPS denied inaccessible tunnels
DOI: https://doi.org/10.1007/s42797-024-00109-8
[2024] Predicting ground vibration during rock blasting using relevance vector machine improved with dual kernels and metaheuristic algorithms
DOI: https://doi.org/10.1038/s41598-024-70939-w
[2024] Development of underground communication system for data transmission using Wi-Fi direct and power line communication
DOI: https://doi.org/10.1016/j.tust.2024.106047
[2024] Deep learning-based rock type identification using drill vibration frequency spectrum images
DOI: https://doi.org/10.1080/17480930.2024.2372508
[2024] Advanced mineralogical classification and concentration estimation in mining with MATLAB-powered hyper-spectral imaging and machine learning
DOI: https://doi.org/10.1080/17480930.2024.2360743
[2023] An image-capturing system to generate 3D borehole models using multiple fiberscope cameras
DOI: https://doi.org/10.1117/12.2665982
[2023] Deep Learning-Based Estimation of Muckpile Fragmentation Using Simulated 3D Point Cloud Data
DOI: https://doi.org/10.3390/app131910985
[2023] Urban Quarry Ground Vibration Forecasting: A Matrix Factorization Approach
DOI: https://doi.org/10.3390/app132312674
[2023] Digital Twin Technology in Data Center Simulations: Evaluating the Feasibility of a Former Mine Site
DOI: https://doi.org/10.3390/su152316176
[2023] Evaluation and Prediction of Blast-Induced Ground Vibrations: A Gaussian Process Regression (GPR) Approach
DOI: https://doi.org/10.3390/mining3040036
[2023] Applying Nonnegative Matrix Factorization for Underground Mining Method Selection Based on Mining Projects' Historical Data
DOI: https://doi.org/10.5188/ijsmer.626
[2023] Assessment of Charge Initiation Techniques Effect on Blast Fragmentation and Environmental Safety: An Application of WipFrag Software
DOI: https://doi.org/10.3390/mining3030030
[2023] Integrating the effect of abutments in estimating the average vertical stress of elastic hard rock pillars by combining numerical modelling and artificial neural networks
DOI: https://doi.org/10.1016/j.undsp.2023.03.008
[2023] Application of Artificial Neural Network for the Prediction of Copper Ore Grade
DOI: https://doi.org/10.3390/min13050658
[2023] Soft ground tunnel lithology classification using clustering-guided light gradient boosting machine
DOI: https://doi.org/10.1016/j.jrmge.2023.02.013
[2023] Application of Bayesian Neural Network (BNN) for the Prediction of Blast-Induced Ground Vibration
DOI: https://doi.org/10.3390/app13053128
[2023] Research on vibration-based early diagnostic system for excavator motor bearing using 1-D CNN
DOI: https://doi.org/10.46873/2300-3960.1377
[2022] Application of Entropy Method for Estimating Factor Weights in Mining-Method Selection for Development of Novel Mining-Method Selection System
DOI: https://doi.org/10.46873/2300-3960.1328
[2022] Visualization of 1D CNN Lithology Identification Model from Rotary Percussion Drilling Vibration Signals Using Explainable Artificial Intelligence Grad-CAM
DOI: https://doi.org/10.5188/ijsmer.25.224
[2022] Development of a Communication System for Underground Mining Informatization Leading to Smart Mining: A Comparison of Wi-Fi Ad Hoc and Wi-Fi Direct
DOI: https://doi.org/10.5188/ijsmer.25.218
[2022] Deep Learning as an Early Detection System for Rotary Percussion Drilling Malfunctions
DOI: https://doi.org/10.5188/ijsmer.25.205
[2022] Development of Asbestos Containing Serpentinite Identification Method Using Hyperspectral Imaging
DOI: https://doi.org/10.5188/ijsmer.25.189
[2022] Landslides Susceptibility Mapping Using Frequency Ratio Model and GIS in Central Parts of Badakhshan Province, Afghanistan
DOI: https://doi.org/10.5188/ijsmer.25.199
[2022] Fragmentation Size Distribution Measurement by GNSS-Aided Photogrammetry at Real Mine Site
DOI: https://doi.org/10.3390/mining2030023
[2022] An Estimation Method of Fragmentation in Blast Muckpiles using Local and Global Modules of Deep Learning Based on 3D Point Clouds
DOI: https://doi.org/10.5188/ijsmer.25.78
[2022] Wi-Fi Direct based WSN Node Deployment in Underground Mine Tunnels
DOI: https://doi.org/10.5188/ijsmer.25.63
[2022] One-Dimensional Convolutional Neural Network for Pipe Jacking EPB TBM Cutter Wear Prediction
DOI: https://doi.org/10.3390/app12052410
[2022] Dimensional Reduction of Rock Hyperspectral Signatures and Classification Based on a NCA Method used in developing a UAV Multispectral Imaging System
DOI: https://doi.org/10.5188/ijsmer.25.102
[2022] Use of a DNN-Based Image Translator with Edge Enhancement Technique to Estimate Correspondence between SAR and Optical Images
DOI: https://doi.org/10.3390/app12094159
[2022] A system of the granite weathering degree assessment using hyperspectral image and CNN
DOI: https://doi.org/10.1080/17480930.2022.2051135
[2022] Spectral Angle Mapping and AI Methods Applied in Automatic Identification of Placer Deposit Magnetite Using Multispectral Camera Mounted on UAV
DOI: https://doi.org/10.3390/min12020268
[2021] Investigating asperity damage of natural rock joints in polycrystalline rocks under confining pressure using grain-based model
DOI: https://doi.org/10.1016/j.compgeo.2021.104144
[2021] Hazard mapping of ground subsidence in east area of Sapporo using frequency ratio model and GIS
DOI: https://doi.org/10.1080/19475705.2021.1873198
[2021] Digital Twin Technology Accelerating in Mining Industry
DOI: https://doi.org/10.6010/geoinformatics.32.4_107
[2021] Model Scaling in Smartphone GNSS-Aided Photogrammetry for Fragmentation Size Distribution Estimation
DOI: https://doi.org/10.3390/min11121301
[2021] One-Dimensional Convolutional Neural Network for Drill Bit Failure Detection in Rotary Percussion Drilling
DOI: https://doi.org/10.3390/mining1030019
[2021] Mutual superimposing of SAR and ground-level shooting images mediated by intermediate multi-altitude images
DOI: https://doi.org/10.1016/j.array.2021.100102
[2021] Communication of Sensor Data in Underground Mining Environments: An Evaluation of Wireless Signal Quality over Distance
DOI: https://doi.org/10.3390/mining1020014
[2021] Coupling NCA Dimensionality Reduction with Machine Learning in Multispectral Rock Classification Problems
DOI: https://doi.org/10.3390/min11080846
[2021] Tourist Participation in the Preservation of World Heritage – A Study at Bayon Temple in Cambodia –
DOI: https://doi.org/10.1016/j.culher.2021.05.001
[2021] Incorporating asperity strength into rock joint constitutive model for approximating asperity damage: An insight from DEM modelling
DOI: https://doi.org/10.1016/j.engfracmech.2021.107744
[2021] Classification of Arsenic Bearing Minerals Using Hyperspectral Imaging and Deep Learning for Mineral Processing
DOI: https://doi.org/10.2473/journalofmmij.137.1

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（69 件）

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