Results 41 to 50 of about 9,392,941 (233)
UMSNet: An Universal Multi-sensor Network for Human Activity Recognition
CoRR, 2022 Human activity recognition (HAR) based on multimodal sensors has become a rapidly growing branch of biometric recognition and artificial intelligence. However, how to fully mine multimodal time series data and effectively learn accurate behavioral features has always been a hot topic in this field. Practical applications also require a well-generalized
Jialiang Wang +4 more
openaire +2 more sources
Review of the Method for Distributed Multi-sensor Multi-target Tracking
Leida xuebao, 2023 Multi-sensor multi-target tracking is a popular topic in the field of information fusion. It improves the accuracy and stability of target tracking by fusing multiple local sensor information.
Yajun ZENG +4 more
doaj +1 more source
Sensors, 2015 Coverage control is one of the most fundamental issues in directional sensor networks. In this paper, the coverage optimization problem in a directional sensor network is formulated as a multi-objective optimization problem.
Ming Li, Chunyan Miao, Cyril Leung
doaj +1 more source
UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat
Precision Agriculture, 2022 Early prediction of grain yield helps scientists to make better breeding decisions for wheat. Use of machine learning (ML) methods for fusion of unmanned aerial vehicle (UAV)-based multi-sensor data can improve the prediction accuracy of crop yield.
Shuai-Peng Fei +8 more
semanticscholar +1 more source
IEEE Access, 2019 The increase of network size and sensory data leads to many serious problems to the wireless sensor networks due to the limited energy. Data prediction method is helpful to reduce network traffic and increase the network lifetime accordingly, especially ...
Hongju Cheng +3 more
doaj +1 more source
Tehnički Glasnik, 2021 Major points of concern in implementing a wireless sensor network (WSN) are the network lifetime and energy utility within any delay tolerant network. Both these parameters define the success of the sensor network.
Panchikattil Susheelkumar Sreedharan +1 more
doaj
Gong-kuang zidonghua, 2016 When traditional wireless sensor network based on single sink node is applied in coal mine monitoring system, the sensors far away from tunnel crossing cannot transmit monitoring data to sink nodes in the tunnel crossing real timely and exactly. In order
LI Wanghuai, XIA Xu
doaj +1 more source
Real-Time Fault Diagnosis for Hydraulic System Based on Multi-Sensor Convolutional Neural Network
Italian National Conference on SensorsThis paper proposed a real-time fault diagnostic method for hydraulic systems using data collected from multiple sensors. The method is based on a proposed multi-sensor convolutional neural network (MS-CNN) that incorporates feature extraction, sensor ...
Haohan Tao +3 more
semanticscholar +1 more source
Cooperative Multi Target Tracking Using Multi Sensor Network [PDF]
International Journal on Smart Sensing and Intelligent Systems, 2008 Abstract Sensors provide a key feedback link allowing robotic and autonomous systems to react to their environments. Without this feedback, robotic and autonomous systems will operate in an uncontrolled manner, since they don’t have the ability to perceive and respond to their environments.
M. Elmogy, Ahmed, O. Karray, Fakhreddine
openaire +1 more source
Topology control in Heterogeneous Wireless Sensor Network [PDF]
, 2016 Topology of a Wireless Sensor Network determines the connectivity of the wireless network and topology Control is the important technique of extending network lifetime while preserving network connectivity.
Deshmukh, Prashant, Dandekar, Deepak R
core