Tomoya Inoue - Concepedia

Author

Tomoya Inoue

Japan Agency for Marine-Earth Science and Technology ORCID

Also Known As

Inoue Tomoya, T Inoue, T. Inoue, Tomoya INOUE, Tomoya Inoue

193

Publications

861

Citations

H-Index

125

Concepts

All Affiliations

Japan Agency for Marine-Earth Science and Technology The University of Tokyo The University of Osaka Kyoto Prefectural University of Medicine University of Edinburgh

About

Tomoya Inoue is an author at Japan Agency for Marine-Earth Science and Technology specializing in engineering, civil engineering, and ocean engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	24	430
2	Medicine	6	6	109
3	Business	1	1	10
4	Health Sciences	1	1	11
5	Biomedical Engineering	1	1	16

Tomoya Inoue

Publications

537

Citations

H-Index

Page 1

	Year	Citations
Longitudinal natural vibration of ultra-long drill string during offshore drilling Ryota Wada, Tatsuya Kaneko, Masahiko Ozaki, Ocean Engineering Stress WaveEngineeringMechanicsCivil EngineeringMechanical Engineering	2018	37
The <i>ABISMO</i> Mud and Water Sampling ROV for Surveys at 11,000 m Depth Hiroshi Yoshida, Shojiro Ishibashi, Yoshitaka Watanabe, Marine Technology Society Journal Exploration GeophysicsEngineeringGeomorphologyOceanographyEarth Science	2009	34
Early Stuck Pipe Sign Detection with Depth-Domain 3D Convolutional Neural Network Using Actual Drilling Data Naoki Tsuchihashi, Ryota Wada, Masahiko Ozaki, SPE Journal Early SignsImage ClassificationDeep Neural NetworksMachine VisionImage Analysis	2020	32
Early sign detection for the stuck pipe scenarios using unsupervised deep learning Konda Reddy Mopuri, Hakan Bilen, Naoki Tsuchihashi, Journal of Petroleum Science and Engineering Stuck Pipe ScenariosConvolutional Neural NetworkImage AnalysisMachine LearningEngineering	2021	31
Dynamic Analysis of Motion of Crawler-Type Remotely Operated Vehicles Tomoya Inoue, Takuya Shiosawa, Ken Takagi IEEE Journal of Oceanic Engineering Crawler SystemEngineeringUnderwater SystemMechanical EngineeringField Robotics	2013	30
Unsupervised anomaly detection in pressurized water reactor digital twins using autoencoder neural networks Salvatore Angelo Cancemi, Rosa Lo Frano, Ciro Santus, Nuclear Engineering and Design Artificial IntelligenceFault DiagnosisAnomaly DetectionMachine LearningEngineering	2023	30
Prediction for future occurrence of type A aortic dissection using computational fluid dynamics Yu Hohri, Satoshi Numata, Keiichi Itatani, European Journal of Cardio-Thoracic Surgery	2021	27
Continuous Thrombus in the Right and Left Atria Penetrating the Patent Foramen Ovalis Atsushi Fukumoto, Hitoshi Yaku, Kiyoshi Doi, Circulation ThrombosisInterventional NeuroradiologyLeft AtriaNeurologyPatent Foramen Ovalis	2005	24
Fatigue resonant tests on S140 and S150 grade corroded drill pipe connections and pipe bodies Ciro Santus, A. Burchianti, Tomoya Inoue, International Journal of Pressure Vessels and Piping EngineeringCorrosionS150 GradeMechanical EngineeringCivil Engineering	2020	23
Fatigue resonant tests on drill collar rotary shouldered connections and critical thread root identification Ciro Santus, Leonardo Bertini, A. Burchianti, Engineering Failure Analysis EngineeringDrill Collar RotaryMechanical EngineeringStructural Health MonitoringLow-cycle Fatigue	2018	21

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