Results 1 to 10 of about 1,246,244 (205)

A Deep Siamese Network with Hybrid Convolutional Feature Extraction Module for Change Detection Based on Multi-sensor Remote Sensing Images

open access: yesRemote Sensing, 2020
Information extraction from multi-sensor remote sensing images has increasingly attracted attention with the development of remote sensing sensors. In this study, a supervised change detection method, based on the deep Siamese convolutional network with ...
Moyang Wang   +4 more
doaj   +4 more sources

Wireless Sensor Network Optimization: Multi-Objective Paradigm

open access: yesSensors, 2015
Optimization problems relating to wireless sensor network planning, design, deployment and operation often give rise to multi-objective optimization formulations where multiple desirable objectives compete with each other and the decision maker has to ...
Muhammad Iqbal   +4 more
doaj   +4 more sources

An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests. [PDF]

open access: yesSensors (Basel), 2020
Secure grasping of fragile fruits and other agricultural products without potential slip and damage is still a challenge due to the size and shape varying, bruise susceptible, as well as hardness changing during fruit and vegetable maturation.
Xie Y, Zhang B, Zhou J, Bai Y, Zhang M.
europepmc   +2 more sources

Mapping Occupational Hazards with a Multi-sensor Network in a Heavy-Vehicle Manufacturing Facility. [PDF]

open access: yesAnn Work Expo Health, 2019
Due to their small size, low-power demands, and customizability, low-cost sensors can be deployed in collections that are spatially distributed in the environment, known as sensor networks. The literature contains examples of such networks in the ambient
Zuidema C   +9 more
europepmc   +2 more sources

Environmental Application with Multi Sensor Network

open access: yesComputer Engineering and Applications Journal, 2020
This paper aimed to monitor temperature, humidity, and CO gas level using environmental application with multi sensor network (MSN). This system was applied in real life and real time, to be able to obtain data and information through mobile devices and ...
A. Handayani, N. Husni, R. Permatasari
semanticscholar   +2 more sources

Cloud Based WiFi Multi-Sensor Network

open access: yesInternational Journal of Online and Biomedical Engineering (iJOE), 2018
A WiFi technology was the basis of the Internet of Things (IoT) and many popularity of the wireless communication in the social network. A smart device used any kinds of the detectors all of the analog and digital sensor.
Anekwong Yoddumnern   +2 more
semanticscholar   +3 more sources

Surveillance Robot Using Multi Sensor Network

open access: yesIJIREEICE, 2015
The field of robotics is largely unexplored by the underdeveloped and the developing countries. Robotics have been a staple of advanced manufacturing for over half a century. Over the past decade, we have seen increasing levels of investment in autonomous vehicles used for surveillance and security.
K. Pooventhan   +3 more
semanticscholar   +2 more sources

Sensor network prediction based on spatial and temporal GNN [PDF]

open access: yesITM Web of Conferences, 2022
Multi-sensor prediction is a hotspot for research and development in sensor management technologies. Thanks to artificial intelligence, researchers have been able to effectively use neural networks and traditional artificial intelligence approaches to ...
Liu Peng   +3 more
doaj   +1 more source

Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks

open access: yesSensors, 2023
Aiming at the problem of asynchronous multi-target tracking, this paper studies the AA fusion optimization problem of multi-sensor networks. Firstly, each sensor node runs a PHD filter, and the measurement information obtained from different sensor nodes
Kuiwu Wang   +3 more
doaj   +1 more source

Distance-Based Analysis of Early Fire Indicators on a New Indoor Laboratory Dataset with Distributed Multi-Sensor Nodes

open access: yesFire, 2023
This work analyzes a new indoor laboratory dataset looking at early fire indicators in controlled and realistic experiments representing different incipient fire scenarios.
Pascal Vorwerk   +3 more
doaj   +1 more source

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