Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

As initiatives for decarbonization take place, there are growing expectations for green hydrogen and ammonia produced using renewable energy, but reducing the costs of full-scale implementation has ...

In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Warner Bros. Discovery is upgrading its ad-tech stack with expanded agentic artificial intelligence capabilities supported by cloud-computing partner Amazon Web Services, per a press release shared ...

Economic Viability Evaluated under METI's "FY2023 Supplementary Funds for The Global South Future-Oriented Co-Creation Program" --- An analysis was conducted, in collaboration with Hygenco-MHI's partn ...

NVIDIA® cuOpt™ is a GPU-accelerated optimization engine that excels in linear programming (LP), quadratic programming (QP), and vehicle routing problems (VRP), with support for quadratically ...

The report, “PV-Powered Charging Stations: Sizing, Optimization and Control,” analyzes workplace charging sites, microgrid configurations, vehicle-to-grid (V2G) operation, battery swapping concepts, ...

Abstract: The inexorable increase in energy demand around the world has put the energy-saving technology in hot spot for railway transportation. Train speed trajectory optimization based on optimal ...

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...

Delivering blood from collection sites to labs is a fast-paced, labour-intensive process. Donated blood can deteriorate within a few hours at room temperature, leaving little room to manoeuvre in case ...

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...