Research field (12)：
Communication and network engineering
, Biological, health, and medical informatics
, Statistical science
, Intelligent robotics
, Perceptual information processing
, Intelligent informatics
, Human interfaces and interactions
, Database science
, Information networks
, Computer systems
, Software
, Information theory
Research keywords (10)：
AI
, センサネットワーク
, IoT
, machine learning
, reinforcement learning
, 統計解析
, Multi-Agent System
, 行動認識
, 信号処理
, Quality Assurance for Artificial Intelligence
Research theme for competitive and other funds (2)：
2002 - 2007 Sensor networks
ネットワークおよびそのアプリケーションに関する研究開発
Papers (10)：
Masatoshi Sekine, Daisuke Shimbara, Tomoyuki Myojin, Eri Imatani. Visualization Tool for Extraction of Various Attributes and Corresponding Data for Dataset Quality Assessment. AITest. 2023. 61-65
Masatoshi Sekine, Satoshi Ikada. Adaptive Cooperative Distributed Compressed Sensing for Edge Devices: A Multiagent Deep Reinforcement Learning Approach. 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events. 2021. 585-591
Masatoshi Sekine, Satoshi Ikada. LACSLE: Lightweight and Adaptive Compressed Sensing Based on Deep Learning for Edge Devices. 2019 IEEE Global Communications Conference(GLOBECOM). 2019. 1-7
Masatoshi Sekine, Kurato Maeno, Toshinari Kamakura. Detection of Human Presence by Irregularity of Doppler Signal Using Multivariate Autoregressive Model. ACM KDD 2012 Health Informatics Workshop. 2012
Masatoshi Sekine, Kurato Maeno, Toshinari Kamakura. Human detection algorithm for Doppler radar using prediction error in autoregressive model. 2012 8th IEEE International Symposium on Instrumentation and Control Technology (ISICT) Proceedings. 2012
SEKINE Masatoshi, IKADA Satoshi. Lightweight and Adaptive Estimation of Compression Ratio in Compressed Sensing Based on Deep Learning. 電子情報通信学会論文誌 B(Web). 2021. J104-B. 3. 187-197
