From automated load building to real time voice assistants and predictive control rooms, the transport sector is testing how ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Abstract: This article presents a newly developed integrated clustering and routing algorithm for wireless sensor networks. To improve the existing algorithms with a multi-stage data transmission ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Abstract: The growing complexity of modern network systems has increased the need for efficient multi-objective routing (MOR) algorithms. However, existing MOR methods face significant challenges, ...

Finding the shortest path in a network is a classical problem, and a variety of search strategies have been proposed to solve it. In this paper, we review traditional approaches for finding shortest ...

1 Energy, Materials and Methods Research Laboratory, National High Polytechnic School of Douala, Douala, Cameroon. 2 National Advanced School of Engineering, University of Yaounde I, Yaounde, Cameroon ...

SUNNYVALE, Calif.--(BUSINESS WIRE)--Juniper Networks (NYSE: JNPR), a leader in secure, AI-Native Networking, today announced a new round of innovations for its routing portfolio that expedite ...