Titlebook: Industrial Networks and Intelligent Systems; 8th EAI Internationa Nguyen-Son Vo,Quoc-Tuan Vien,Dac-Binh Ha Conference proceedings 2022 ICST

小客車(chē)

書(shū)目名稱Industrial Networks and Intelligent Systems影響因子(影響力)




書(shū)目名稱Industrial Networks and Intelligent Systems影響因子(影響力)學(xué)科排名




書(shū)目名稱Industrial Networks and Intelligent Systems網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Industrial Networks and Intelligent Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Industrial Networks and Intelligent Systems被引頻次




書(shū)目名稱Industrial Networks and Intelligent Systems被引頻次學(xué)科排名




書(shū)目名稱Industrial Networks and Intelligent Systems年度引用




書(shū)目名稱Industrial Networks and Intelligent Systems年度引用學(xué)科排名




書(shū)目名稱Industrial Networks and Intelligent Systems讀者反饋




書(shū)目名稱Industrial Networks and Intelligent Systems讀者反饋學(xué)科排名

nettle

控制

BARK

Performance Analysis of?Intelligent Reflecting Surface-Aided Mobile Edge Computing Network with?Upling channel with an uplink non-orthogonal multiple access (NOMA) scenarios. The considered system consists of an access point (AP), two NOMA users, i.e., a cell-center user and a cell-edge user, and a two-dimensional passive element array of the intelligent reflecting surface (IRS). Specifically, we

visceral-fat

GLOSS

Design and?Performance Evaluation of?Full-Duplex Relay Node in?LoRaWAN-Based Systemless network (LPWAN) protocols are widely applied in many fields thanks to their effective cost, long range, and energy efficiency. This study proposed a hardware design for a full-duplex relay node (FDRN) for relaying data from sensor nodes (SN) to the LoRaWAN gateway. Accordingly, we proposed the

ingrate

爭(zhēng)議的蘋(píng)果

clarify

exhibit

Optimising Maritime Big Data by?K-means Clustering with Mapreduce Modele in terms of resource saving (memory and processing capacity) and utility efficiency. Therefore, the highly specialised nature of the marine navigation and the maritime big data must be analysed to assist the scientists and operational engineers to extract the useful information from this data usin