The concealed process of grouting can be sensed through monitoring the grouting pressure. Therefore, a hybrid prediction model based on residual correction is proposed in this study to accurately predict grouting pres...
详细信息
The increasing number of vehicles on the roads has resulted in a higher risk of accidents and collisions. To address this critical issue, this research proposes an intelligent system for vehicle collision avoidance us...
详细信息
The traditional greenhouse system lacks significant shortcomings in resource management, automation, and active monitoring for diseases and pest attacks. Currently, these greenhouses run with suboptimal resource effic...
详细信息
Software-defined networking represents a ground breaking advancement in network technology, characterized by its desirable attributes such as enhanced flexibility and manageability. Although ongoing, the issue of DDoS...
详细信息
The proceedings contain 99 papers. The topics discussed include: automated bridge inspection image interpretation based on vision-language pre-training;using road design priors to improve large-scale 3D road scene seg...
ISBN:
(纸本)9780784485224
The proceedings contain 99 papers. The topics discussed include: automated bridge inspection image interpretation based on vision-language pre-training;using road design priors to improve large-scale 3D road scene segmentation;assessing workers’ operational postures via egocentric camera mapping;transformer-based semantic segmentation for recycling materials in construction;towards an intelligent automated building code compliance system;enhancing maintenance management effectiveness of healthcare facilities through natural language processing;plan view wall detection for indoor point clouds using weak supervision;deep learning-based automation of road surface extraction from UAV-derived dense point clouds in large-scale environment;machinelearning-based ranking of factors influencing human movement purposes for supporting human-infrastructure interaction modeling;and the relationship between occupants’ movement and building morphology before and during COVID-19 pandemic.
With the rapid development of information technology today, data is emerging at an unprecedented speed and scale, with diverse forms of existence and extremely wide sources. Especially in the medical field, the comple...
详细信息
This research paper examines several soil qualities, such as texture, structure, density, porosity, wetness, and pH, and how these affect agricultural productivity and soil management. It discusses how to analyze soil...
详细信息
Dengue is one of the serious mosquito-borne disease, which causes flu-like symptoms like high fever, sever headache, pain in joint, muscles, eyes etc. It is suggested to control mosquito populations in an area to avoi...
详细信息
Li-ion batteries are widely used in electric vehicles (EVs), but they suffer from battery degradation, particularly in terms of calendar loss. machinelearning has been used to predict battery health deterioration due...
详细信息
ISBN:
(纸本)9798350337938
Li-ion batteries are widely used in electric vehicles (EVs), but they suffer from battery degradation, particularly in terms of calendar loss. machinelearning has been used to predict battery health deterioration due to cyclic loss, but the accuracy depends on input feature selection. This study introduces an improved feature selection method, enhancing battery calendar loss prediction. Eight machinelearning algorithms are applied to an EV battery dataset, and results show improved prediction accuracy and reduced mean absolute error (MAE). Notably, Gaussian process regression (GPR), random forest (RF) regression, and XGBoost methods combined with the proposed feature selection method show the most significant accuracy improvement.
暂无评论