Titlebook: Advances in Intelligent Networking and Collaborative Systems; The 13th Internation Leonard Barolli,Hsing-Chung Chen,Hiroyoshi Miwa Conferen

Ceramic

Kamal Kumar Murari,Subimal Ghosh proposed protocol can adapt the changing of the dynamic network with low energy consumption; therefore, ensuring the network connectivity. The simulation results show that the proposed clustering protocol performs well in terms of long network lifetime and high throughput while comparing to other clustering protocols.

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泥瓦匠

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Favorable

Conference proceedings 2022pectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., as well as to reveal synergies among various paradigms in such a multi-disciplinary field intelligent collaborative systems

Urgency

Magdy Kamal Badir,Hamdy Abd AlRahmannearly Decreasing Vmax Method (LDVM) for WMNs by using the WMN-PSOSA-DGA hybrid simulation system considering the Stadium distribution of mesh clients. Simulation results show that LDVM has better performance than CM.

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https://doi.org/10.1007/978-3-030-55536-8uffalo populations..For this experimental campaign, the surface temperature of the udder skin was measured using an infrared camera. We use a Deep Learning approach to perform an early classification of the infrared pictures, finalized to distinguish healthy breasts from those with ongoing mastitis symptoms.

cathartic

corn732

Atmospheric Circulation and Climatee performance of our proposed system. From simulation results, we conclude that the considered parameters have different effects on the SLA. When Re and Av are increasing, the SLA parameter is increased but when La is increasing, the SLA parameter is decreased.

labile

K. Boonpragob,J. Santisirisomboonralized method of the user-aware resource assignment without the global information of networks, and investigate the performance of the designed method through the  experiment. From the results, we show that the designed method accomplishes the same performance of the centralized method using the global information.