Efficient compressive strength prediction of concrete incorporating recycled coarse aggregate using Newton's boosted backpropagation neural network (NB-BPNN)

RK Tipu, V Batra, KS Pandya, VR Panchal - Structures, 2023 - Elsevier
This study advances the field of concrete compressive strength prediction by introducing an
innovative approach incorporating recycled coarse aggregates and the Newton's Boosted …

Enhancing load capacity prediction of column using eReLU-activated BPNN model

RK Tipu, V Batra, KS Pandya, VR Panchal - Structures, 2023 - Elsevier
In structural engineering, accurately predicting the load-carrying capacity of columns is
paramount for ensuring the safety and efficiency of construction projects. This study …

SAW: Semantic-Aware WebRTC Transmission Using Diffusion-Based Scalable Video Coding

Y Wen, Z Zhang, J Sun, J Li… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
As video transmission systems expand into various complex scenarios, real-time video
coding methods are essential for maintaining low latency and high perceptual quality across …

Advanced Image Analysis in Offshore Drilling Surveillance via Edge-Cloud Framework Leveraging Deep Reinforcement Learning

X Ji, F Gong, N Wang, C Du… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
The rapid increase in camera installations on off-shore drilling platforms has intensified the
challenge of high-concurrency video data processing. Traditional single-cloud server video …

Comparative strength estimation model of recycled aggregate concrete modified with GGBS, Metakaolin, and fly ash

L Zhang, Y Tian, S Deng - Multiscale and Multidisciplinary Modeling …, 2024 - Springer
Recycled aggregates (RA) can provide a sustainable solution for replacing natural
aggregates (NA) in the concrete mix. Nevertheless, because of a lack of databases …