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SD-Based Low-Complexity Signal Detection Algorithm in Massive MIMO Systems
Steepest descent algorithm (SD) itself can find a better convergence direction, but its own convergence speed is relatively slow, resulting in...
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Building detection algorithm in multi-scale remote sensing images based on attention mechanism
The seismic fortification intensity requirements of buildings of various heights are different. Identifying the heights of different buildings using...
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A Comprehensive Confirmation-based Selfish Node Detection Algorithm for Socially Aware Networks
Data transmission in socially aware networks is usually accomplished through opportunistic peer-to-peer links in a storage-carry-forward way. This...
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An adversarial environment reinforcement learning-driven intrusion detection algorithm for Internet of Things
The increasing prevalence of Internet of Things (IoT) systems has made them attractive targets for malicious actors. To address the evolving threats...
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Weakly-supervised structural surface crack detection algorithm based on class activation map and superpixel segmentation
This paper proposes a weakly-supervised structural surface crack detection algorithm that can detect the crack area in an image with low data...
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Connection Loss Detection Algorithm of Parallel-connected Cells Based on Change of Battery SOC
The battery pack consists of parallel-connected cells to satisfy the power and mileage per charge of the eco-friendly vehicles. The vehicle...
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Network Community Detection Algorithm for Graph Networks
This chapter presents how communities in networks can be detected by integrating barycentric serialization with bottom-up segmentation. Because nodes... -
Efficient improvement of energy detection technique in cognitive radio networks using K-nearest neighbour (KNN) algorithm
With the birth of the IoT era, it is evident that the existing number of devices is going to rise exponentially. Any two devices will communicate...
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Application of image encryption algorithm and abnormal speech quality detection in English corpus teaching system
In the Internet, the content of digital images is extremely diverse. This is the most important way for people to obtain and spread the news to...
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New Lite YOLOv4-Tiny Algorithm and Application on Crack Intelligent Detection
Conforming to the rapidly increasing market demand of crack detection for tall buildings, the idea of integrating deep network technology into...
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Fully Automated UAV Cluster Pollution Source Detection Algorithm
In this paper, considering the challenge of gas pollution prevention and the development of unmanned system technology, a type of pollution source... -
Overlap** community detection algorithm based on similarity of node relationship
Community discovery is a vital link in the research of social networks aiming at the shortcomings of the current local extension-based community...
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Event detection algorithm based on label semantic encoding
One major challenge in event detection tasks is the lack of a large amount of annotated data. In a low-sample learning environment, effectively...
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Fall detection algorithm based on pyramid network and feature fusion
Accidental falls are the second leading cause of accidental death of the elderly. Early intervention measures can reduce the problem. However, so...
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Judgment Model of a Copper-Converter End Point Based on a Target Detection Algorithm
The end-point determination of the slag- and copper-making periods in copper converting directly affects the quality of copper, stability of the...
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Intrusion Attack Detection Using Firefly Optimization Algorithm and Ensemble Classification Model
In recent decades, the Internet of Things (IoTs) based network intrusion detection (ID) remains a challenging research topic. Currently, several...
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An optimized deep-learning algorithm for the automated detection of diabetic retinopathy
Diabetic retinopathy (DR) leads to vision loss, a significant issue among people with diabetes. The DR significantly impacts society's financial...
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Multiple sparse detection-based evolutionary algorithm for large-scale sparse multiobjective optimization problems
Sparse multiobjective optimization problems are common in practical applications. Such problems are characterized by large-scale decision variables...
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SFD-SR: strengthened feature description and stabilized re-detection-based infrared small–dim target tracking algorithm
Infrared small and dim target has posed great challenges on the target detection and tracking, especially for early warning, navigation and guidance....
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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation
An algorithm based on deep semantic segmentation called LC-DeepLab is proposed for detecting the trends and geometries of cracks on tunnel linings at...