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A survey of multi-source image fusion
Multi-source image fusion has become an important and useful new technology in the image understanding and computer vision fields. The purpose of...
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Artificial intelligence-Enabled deep learning model for multimodal biometric fusion
The goal of information security is to prevent unauthorized access to data. There are several conventional ways to confirm user identity, such as...
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Sensor Fusion Based Weighted Geometric Distance Data Association Method for 3D Multi-object Tracking
In the field of autonomous driving, 3D multi-object tracking (MOT) plays an important role as one of the key tasks in the overall perception system,...
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Temporal fusion transformer-based prediction in aquaponics
Aquaponics offers a soilless farming ecosystem by merging modern hydroponics with aquaculture. The fish food is provided to the aquaculture, and the...
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SimpliFusion: a simplified infrared and visible image fusion network
This paper introduces SimpliFusion, a network designed for the fusion of infrared and visible images, leveraging a simplified transformer...
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A Slant Transform and Diagonal Laplacian Based Fusion Algorithm for Visual Sensor Network Applications
Multi-focus image fusion has developed as a promising research area in the field of visual sensor networks, and its objective is to combine multiple...
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A Novel Multi-camera Fusion Approach at Plant Scale: From 2D to 3D
Non-invasive crop phenoty** is essential for crop modeling, which relies on image processing techniques. This research presents a plant-scale...
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Humanoid robot action using multi-mode fusion based on frame expert system
This research combines the NAO robot platform to develop three single scene modes (visual line-following navigation, object location and grabbing,...
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Security in Sensor Networks
Wireless sensor networks (WSNs) or just sensor networks are grids or networks made of spatially distributed autonomous but cooperating tiny devices...
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Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception
In this research, we present a novel deep multi-task learning model to handle the perception stage of an autonomous driving system. The model...
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Autonomous Navigation System for Indoor Mobile Robots Based on a Multi-sensor Fusion Technology
Map construction and path planning are two critical problems for an autonomous navigation system. One traditional map construction method is to...
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MFT: Multi-scale Fusion Transformer for Infrared and Visible Image Fusion
This paper studies the problem of fusing the infrared and visible images to improve the quality of target image. Traditional image fusion algorithms...
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Fall detection based on LCNN and fusion model of weights using human skeleton and optical flow
Falls are the main cause of increased morbidity and mortality in the elderly. Human activity recognition is a difficult task due to factors such as...
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A Literature Survey on Event Detection for Indoor Environment Using Wireless Sensor Network
Environmental incidents like fires, gas leaks and explosions that happen at random and unforeseen times might be greatly helped by event detection...
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Data fusion and network intrusion detection systems
The increasing frequency and sophistication of cyber-attacks pose significant threats to organizational entities and critical national...
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Information Fusion for Enhancing Presentation Attack Detection in Iris Recognition
This work investigates data fusion techniques for presentation attack detection (PAD) in iris recognition systems. Although a few PAD methods have...
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Fusion of kinematic and physiological sensors for hand gesture recognition
The uncertainty of hand gestures, the variability of gestures across subjects, and the high cost of collecting a large amount of annotated data lead...
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CMCI: A Robust Multimodal Fusion Method for Spiking Neural Networks
Human understand the external world through a variety of perceptual processes such as sight, sound, touch and smell. Simulating such biological...