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TOSHIBA REVIEW Japanese

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Vol. 74, No. 5, September 2019

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TOSHIBA REVIEW SCIENCE AND TECHNOLOGY HIGHLIGHTS 2019
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TOSHIBA REVIEW SCIENCE AND TECHNOLOGY HIGHLIGHTS 2019

Index

Special Reports
Toshiba Analytics AI Underpinning Acceleration of Digital Transformation
  * Future Outlook for AI in Reiwa Era and Toshiba’s Approach
  * Toshiba Analytics AI Technologies for Creation of New Value through CPS
  * Fault Diagnosis Method Based on Machine Learning using Time-Series Sensor Data
  * Automated Defect Classification System for Semiconductor Manufacturing Processes Using Deep Learning
  * Insulation Deterioration Diagnosis Technique for Switchgears Using Machine Learning
  * High-Precision Electricity Demand Forecasting Method Using Weather Prediction Data and Deep Learning
  * Low Power Consumption Deep Convolutional Neural Network Accelerator for ADAS
  * Accurate Real-Time Video Analysis System to Recognize Road Relay Race Teams in Live Images Using Deep Learning
  * Learning Methods for Realization of Optical Character Recognition with High Accuracy Using AI
  * Technique to Provide Users with Grounds for Inference Using SATLYS Toshiba Analytics AI Services
  * SATLYSKATA Cloud Services Offering Sophisticated Analytics without AI Experts

Feature Articles
  * Effective Image Segmentation Technique Based on Deep Learning
  * EV Navigation System for Traffic Control Systems to Avoid Battery Power Shortages on Expressways
  * Approaches toward Introduction of H2One System on Isolated Islands and in Areas without Electricity
  * Latest Technologies for Realization of Hydro Generators with Higher Efficiency
  * New Advanced-Broadband Information Service (A-Bis) Meeting Sophisticated Information Collection and Distribution Needs

Frontiers of Research & Development
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Automation of Laser Welding Process by Applying Cyber-Physical System (CPS) Approach

 

* Company, product, and service names appearing in each paper include those that are trademarks or registered trademarks of their respective companies.
* You can read the abstract of each paper on this English page.


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