Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...

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

Network planning has always been a bit reactive. Engineers analyze historical traffic data, build capacity models, and make infrastructure decisions based on what’s happened before. When congestion ...

Effective network management is critical for ensuring reliable system performance and safeguarding the flow of information that powers nearly every business operation. AI has quickly become the ...

Warner Bros. Animation has run into some tough times on HBO Max in recent years. With the streaming service routinely losing some heavy hitters that were big parts of Cartoon Network’s platform, there ...

Abstract: Recently, a statistical modeling approach called sparse modeling has attracted much attention, especially in the fields of signal and image processing. Sparse modeling is applicable to solve ...

In telecommunication applications, target impedance serves as a crucial benchmark for power distribution network (PDN) design. It ensures that the die operates within an acceptable level of rail ...

Abstract: Effectively solving the optimal power flow (OPF) problem is crucial for power system operations. However, the OPF represents a nonconvex and intractable problem, and using traditional ...

The current study’s objective is to reveal the best possible solution for an optimal power flow (OPF) problem. The driving training-based optimization (DTBO) technique has been applied in this work to ...

Russell has a PhD in the history of medicine, violence, and colonialism. His research has explored topics including ethics, science governance, and medical involvement in violent contexts. Russell has ...