Results 1 to 10 of about 83,194 (264)
An Integrated Multi-Sensor Network for Adaptive Grasping of Fragile Fruits: Design and Feasibility Tests [PDF]
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.
Yuanxin Xie +4 more
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A Sensor-Aware Decoupled Learning Framework for Robust Multi-Scale Time-Series Forecasting in Oil Production Systems [PDF]
Accurate forecasting of oil well production via field monitoring systems is significantly restricted by a structural conflict in modeling, where temporal dependency learning and nonlinear feature representation are closely coupled. Such coupling forces a
Guojian Cheng +3 more
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Wireless Sensor Network Optimization: Multi-Objective Paradigm
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
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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
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Sensor network prediction based on spatial and temporal GNN [PDF]
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
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Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
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
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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
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A software-defined multi-modal wireless sensor network for ocean monitoring
The software-defined networking paradigm enables wireless sensor networks as a programmable and reconfigurable network to improve network management and efficiency.
Hanjiang Luo +4 more
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Massive MIMO-Based Distributed Signal Detection in Multi-Antenna Wireless Sensor Networks
For massive multiple-input multiple-output (MIMO) distributed wireless sensor networks, this paper investigates the role of multi-antenna sensors in improving network perception performance.
Guofeng Wei +5 more
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Attention-Guided Multispectral and Panchromatic Image Classification
Multi-sensor image can provide supplementary information, usually leading to better performance in classification tasks. However, the general deep neural network-based multi-sensor classification method learns each sensor image separately, followed by a ...
Cheng Shi +4 more
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