Abstract: Based on DL (Deep Learning) technology, this paper develops an advanced algorithm which can accurately predict the properties of materials, and applies it to the optimal design of mechanical ...
Abstract: Reducing harmful vibrations of structures by active control devices using different control algorithms is an exciting research area with many important applications. The present work ...
Abstract: Photovoltaic (PV) systems are widely acknowledged for their sustainable, plentiful, and eco-friendly energy generation. However, the non-linear behavior of PV cells highlights the vital role ...
With Point Mallard Golf Course closed for renovations, Parks and Recreation Director Hunter Allen is taking the opportunity to propose changes to the course’s rates, including reducing rates for ...
Abstract: The significance of fiducial marker detection in neuroimaging cannot be overstated, as these markers serve as vital reference points for accurate spatial alignment during image registration.
Total ChargePoint-enabled charging sessions up 34% in one year, outpacing new ports which grew by 16% More than 1 million EV drivers using ChargePoint on a monthly basis Vehicles identified as plug in ...
Abstract: The existing algorithms for detecting low-beam feature points are neither universally applicable nor effective. Additionally, such algorithms typically involve numerous parameters, making ...
HOUSTON, February 09, 2026--(BUSINESS WIRE)--Resilient Structures (RS), a leading manufacturer of high-performance composite utility poles, today announced a long-term supply agreement with ...
Abstract: In this paper, Johnson's Algorithm is employed for Big Data shortest route analysis. Its efficiency and efficacy in managing massive datasets to improve data processing and decision-making ...
Abstract: Accurately monitoring the spatiotemporal dynamics of environmental fields using point-based wireless sensor networks (WSNs) is critical for applications such as urban microclimate monitoring ...
Abstract: The issue of Cybersecurity is paramount in today's world of the internet and data. Many organizations face the problem of the theft of confidential data and are continuously making efforts ...
Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...