Titlebook: Body Area Networks. Smart IoT and Big Data for Intelligent Health; 15th EAI Internation Muhammad Mahtab Alam,Matti H?m?l?inen,Yannick Le M

Strategy

書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health影響因子(影響力)




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health影響因子(影響力)學(xué)科排名




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health網(wǎng)絡(luò)公開度




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health被引頻次




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health被引頻次學(xué)科排名




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health年度引用




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health年度引用學(xué)科排名




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health讀者反饋




書目名稱Body Area Networks. Smart IoT and Big Data for Intelligent Health讀者反饋學(xué)科排名

沖擊力

On the UWB in-Body Propagation Measurements Using Pork Meaty, by measurements, the in-body channel characteristics using different types of pork meat piece having different fat and muscle compositions. It was found that path loss is clearly higher with the pork meat having separate skin, fat, and muscle layers compared to the pork meat having interlaced fat

畏縮

制定法律

BSNCloud: Cloud-Centered Wireless Body Sensor Data Collection, Streaming, and Analytics Systemincorporated four key components in the cloud server: data repository, algorithm repository, machine learning engine, and web portal. A prototype has been implemented with preliminary performance evaluation. Results show that the system is promising in its full utilization of the high performance co

頭盔

隱語

Solving Generic Decision Problems by in-Message Computation in DNA-Based Molecular Nanonetworksematical problems that can be modeled as boolean formulas using DNA-based nanonetworks by in-message computation. The computation itself is encoded in the assembly process of a message. This avoids often-stated space constraints for computations at the nanoscale, as the medium of transportation is c

一夫一妻制

Real-Time Human Activity Recognition Using Textile-Based Sensorsformance of the machine learning models is tested on unseen activity data. The obtained results showed the effectiveness of our approach by achieving high accuracy up?to 83.1% on selected human activities in real-time.

試驗

Extraction of Respiratory Signals and Respiratory Rates from the Photoplethysmogramrm both children and adults in different clinical setting. Compared with that of existing method in the literature, the average absolute error percentage (AAEP) of the proposed algorithm is less than 3.72%, which demonstrated that our presented AC-AR bring a significant improvement in accuracy.

江湖郎中

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