|
|
|
|
|
Roongparit Jongjaraunsuk, Wara Taparhudee and Pimlapat Suwannasing
In modern aquaculture, the focus is on optimizing production and minimizing environmental impact through the use of recirculating water systems, particularly in outdoor setups. In such systems, maintaining water quality is crucial for sustaining a health...
ver más
|
|
|
|
|
|
|
|
|
|
|
Tianyu Xi, Ming Wang, Enjia Cao, Jin Li, Yong Wang and Salanke Umar Sa?ad
The thermal comfort evaluation of the urban environment arouses widespread concern among scholars, and research in this field is mostly based on thermal comfort evaluation indexes such as PMV, PET, SET, UTCI, etc. These thermal comfort index evaluation m...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guiomar Calvo, Beatriz Carrasquer-Álvarez and Javier Martínez-Aznar
Salt harvesting through natural solar evaporation of salt brines is a practice notably abundant in the Iberian Peninsula. Such activity has been relevant for human consumption, food preservation, livestock feed, and various industries throughout history....
ver más
|
|
|
|
|
|
|
|
|
|
|
Lisang Liu, Chengyang Ke and He Lin
In foggy environments, outdoor insulator detection is always with low visibility and unclear targets. Meanwhile, the scale of haze simulation insulator datasets is insufficient. Aiming to solve these problems, this paper proposes a novel Dark-Center algo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Liyana Wijayathunga, Alexander Rassau and Douglas Chai
The capabilities of autonomous mobile robotic systems have been steadily improving due to recent advancements in computer science, engineering, and related disciplines such as cognitive science. In controlled environments, robots have achieved relatively...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huiheng Liu, Jinrui Liang, Yanchen Liu and Huijun Wu
Building energy consumption prediction has a significant effect on energy control, design optimization, retrofit evaluation, energy price guidance, and prevention and control of COVID-19 in buildings, providing a guarantee for energy efficiency and carbo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Nuno Abreu, Andry Pinto, Aníbal Matos and Miguel Pires
Point cloud processing is an essential task in many applications in the AEC domain, such as automated progress assessment, quality control and 3D reconstruction. As much of the procedure used to process the point clouds is shared among these applications...
ver más
|
|
|
|
|
|
|
|
|
|
|
Angelique Mukasine, Louis Sibomana, Kayalvizhi Jayavel, Kizito Nkurikiyeyezu and Eric Hitimana
Recently, the significance and demand for biogas energy has dramatically increased. However, biogas operators lack automated and intelligent mechanisms to produce optimization. The Internet of Things (IoT) and Machine Learning (ML) have become key enable...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abdullah As Sami, Saadman Sakib, Kaushik Deb and Iqbal H. Sarker
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous, ma...
ver más
|
|
|
|
|
|