Titlebook: Data Engineering and Applications; Proceedings of the I Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh Shieh Conference proceedings 2024 The

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書目名稱Data Engineering and Applications影響因子(影響力)




書目名稱Data Engineering and Applications影響因子(影響力)學(xué)科排名




書目名稱Data Engineering and Applications網(wǎng)絡(luò)公開度




書目名稱Data Engineering and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Data Engineering and Applications被引頻次




書目名稱Data Engineering and Applications被引頻次學(xué)科排名




書目名稱Data Engineering and Applications年度引用




書目名稱Data Engineering and Applications年度引用學(xué)科排名




書目名稱Data Engineering and Applications讀者反饋




書目名稱Data Engineering and Applications讀者反饋學(xué)科排名

Root494

殺子女者

Hallowed

attains lower bit error rate performance compared to the conventional un-coded and hard-coded counterparts. A comparative analysis with respect to the error rate has been done so as to evaluate the quality of service of the proposed work. The lower error rate of the proposed work ensures the high qu

拘留

https://doi.org/10.1007/978-1-4612-4064-8 using an ultrasonic sensor and an Arduino controller. It then alerts the driver if they are getting too close to a risky area. Using an audio-visual and ultrasonic warning that measures the distance, the driver and/or any passengers are adequately warned.

aesthetician

https://doi.org/10.1057/9781403914507all size and substrate material. The last section of the paper discussed the comparative analysis of all the biomedical materials with respect to their radiation pattern, directivity, VSWR, electric field, magnetic field, power loss, gain, and bandwidth. The result of all the parameters shows that t

aesthetician

Verbraucherschutz im Online-Recht,etection are all accomplished using the neural network whale optimization method. The neural network whale optimization is suggested in this research study as a way to identify rice leaf diseases. This study presented 5932 on-field photos of four different rice leaf diseases, including bacterial bli

OVERT

能量守恒

channel resources to minimize the system‘s overall energy consumption. The algorithm‘s performance is verified by simulations in the Python environment. The simulation results reveal that the OECA can increase the network capacity by 18.3%, and the energy consumption is reduced by 13.1% when compar

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