Results 31 to 40 of about 99,473 (265)

Recent advances and applications towards intelligent operation and maintenance of urban pipeline networks

open access: yesUrban Lifeline, 2023
AbstractAs typical lifeline engineering systems, urban pipeline networks (UPNs) play an important role in transmission and distribution of materials or energies in modern society. Over the past years, many efforts have been devoted to the research, development and application towards intelligent operation and maintenance of UPNs in Tongji University ...
Jie Li, Suzhen Li
openaire   +1 more source

Water Pipeline Leakage Detection Based on Machine Learning and Wireless Sensor Networks [PDF]

open access: yes, 2019
The detection of water pipeline leakage is important to ensure that water supply networks can operate safely and conserve water resources. To address the lack of intelligent and the low efficiency of conventional leakage detection methods, this paper ...
Bøe, Hans Jakob   +7 more
core   +2 more sources

Modeling Camera Effects to Improve Visual Learning from Synthetic Data

open access: yes, 2018
Recent work has focused on generating synthetic imagery to increase the size and variability of training data for learning visual tasks in urban scenes.
A Andreopoulos   +10 more
core   +1 more source

Architecture and Design of Medical Processor Units for Medical Networks

open access: yes, 2011
This paper introduces analogical and deductive methodologies for the design medical processor units (MPUs). From the study of evolution of numerous earlier processors, we derive the basis for the architecture of MPUs. These specialized processors perform
Ahamed, Syed V., Rahman, Syed Shawon M.
core   +2 more sources

A Novel 1D-Convolutional Spatial-Time Fusion Strategy for Data-Driven Fault Diagnosis of Aero-Hydraulic Pipeline Systems

open access: yesMathematics, 2023
Intelligent diagnosis of faults in an aero-hydraulic pipeline is important for condition monitoring of its systems. However, there are no more qualitative formulas or feature indicators to describe the faults of aero-hydraulic pipelines because of the ...
Tongguang Yang   +6 more
doaj   +1 more source

SINet: A Scale-insensitive Convolutional Neural Network for Fast Vehicle Detection

open access: yes, 2018
Vision-based vehicle detection approaches achieve incredible success in recent years with the development of deep convolutional neural network (CNN). However, existing CNN based algorithms suffer from the problem that the convolutional features are scale-
Chen, Hao   +6 more
core   +1 more source

Prospect for the development of natural gas network and the multi-energy integration technology in pipeline networks

open access: yesYou-qi chuyun, 2023
The natural gas pipeline network, as an important part of the natural gas industry and an indispensable participant in the energy Internet, plays a crucial role in the construction of China's energy industry and in the development of national economy. In
Weihe HUANG, Jing GONG
doaj   +1 more source

Image-Based Automatic Watermeter Reading under Challenging Environments

open access: yesSensors, 2021
With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities.
Qingqi Hong   +6 more
doaj   +1 more source

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding

open access: yes, 2018
This work addresses the problem of semantic scene understanding under dense fog. Although considerable progress has been made in semantic scene understanding, it is mainly related to clear-weather scenes.
A Bar Hillel   +20 more
core   +1 more source

Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network

open access: yes, 2018
We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN).
Kim, Kang, Lee, Hee Seok
core   +1 more source

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