Titlebook: Advances in Intelligent Networking and Collaborative Systems; The 9th Internationa Leonard Barolli,Isaac Woungang,Omar Khadeer Hussai Confe

Debilitate

书目名称Advances in Intelligent Networking and Collaborative Systems影响因子(影响力)




书目名称Advances in Intelligent Networking and Collaborative Systems影响因子(影响力)学科排名




书目名称Advances in Intelligent Networking and Collaborative Systems网络公开度




书目名称Advances in Intelligent Networking and Collaborative Systems网络公开度学科排名




书目名称Advances in Intelligent Networking and Collaborative Systems被引频次




书目名称Advances in Intelligent Networking and Collaborative Systems被引频次学科排名




书目名称Advances in Intelligent Networking and Collaborative Systems年度引用




书目名称Advances in Intelligent Networking and Collaborative Systems年度引用学科排名




书目名称Advances in Intelligent Networking and Collaborative Systems读者反馈




书目名称Advances in Intelligent Networking and Collaborative Systems读者反馈学科排名

挡泥板

Leonard Barolli,Isaac Woungang,Omar Khadeer HussaiCovers the latest advances in intelligent social networks and collaborative systems that lead to competitive advantages in business and academic contexts.Includes the Proceedings of the 9th Internatio

佛刊

Lecture Notes on Data Engineering and Communications Technologieshttp://image.papertrans.cn/a/image/148533.jpg

碎石头

https://doi.org/10.1007/978-3-031-21007-5 performance measurement, the organization will have a clear understanding on how it’s performing as well as the effect of any action that it makes towards improvement. In our previous work, we proposed a Bayesian Network (BN) model to measure the level of procurement performance in an organization.

Ledger

Climate Change: What Is in the Name,base stations and connected routes for long distances. In an opportunistic network, when nodes move away or turn off their power to conserve energy, links may be disrupted or shut down periodically. These events result in intermittent connectivity. When there is no path existing between the source a

ANTIC

Grating

Soumyaranjan Sahoo,Bhabagrahi Sahoovely complicated actions (actors), based on the sensed data shared by sensors. This paper presents design and implementation of a simulation system based on Deep Q-Network (DQN) for actor node mobility control in WSANs. DQN is a deep neural network structure used for estimation of Q-value of the Q-l

衰老

Soumyaranjan Sahoo,Bhabagrahi Sahooral curves such as Hilbert, Peano, Gray, Morton or Z-order were discovered, and their properties and features were intensely studied. In this paper, a new space-filling curve is described, and its features are analyzed and compared with the other space-filling curves. The novel algorithm for a space

frivolous

Ramakar Jha,Vijay P. Singh,Roshni Thendiyath to the development of e-learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is low. One of the reasons is the low study desire and motivation. In this work, we present an IoT-Based E-Learning testbed using Ras

aptitude

Neha Gupta,Sagar Rohidas Chavany with people. AmI environments can be diverse, such as homes, offices, meeting rooms, schools, hospitals, control centers, vehicles, tourist attractions, stores, sports facilities, and music devices. In this paper, we present the implementation and evaluation of actor node for AmI testbed. The acto