this paper addresses the challenge of designing joint transmit and receive beamforming for dual-function radar-communication (DFRC) systems. the system model under consideration involves multiple communication users a...
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In view of the existing security products limited use scenarios, deployment and use is not flexible, limited performance and other problems, design and implementation of intelligent video surveillance system based on ...
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the increasing volume of data demands efficient communication systems for transmitting visual information across diverse application scenarios. Traditional methods based on Shannon's information theory overlook se...
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As modern military equipment becomes increasingly complex and diversified, the role of military electronic components in military systems has grown significantly. Traditional inventory management faces inefficiencies ...
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the distribution network protection service has high requirements for communication delay, reliability and stability. there are some problems in optical fiber communication and traditional 5G network. this paper first...
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As data volumes continue to surge, the resources required to accelerate data processing for model training remain a challenge, leading to increased costs and extended processing times. this paper presents a novel meth...
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ISBN:
(纸本)9798350362770;9798350362763
As data volumes continue to surge, the resources required to accelerate data processing for model training remain a challenge, leading to increased costs and extended processing times. this paper presents a novel method that combines Adaptive Sampling with an automated, self-adaptive comprehensive test suite module to address these challenges. this approach maintains model accuracy and ensures coverage of essential data required for business use cases. Experiments conducted on diverse datasets, some as large as several hundred terabytes, demonstrate that this method can reduce processing times by up to 75%. this achievement is realized by efficiently identifying and processing only representative samples. these results demonstrate the promising potential for improving data processing efficiency in model training for Artificial Intelligence (AI) applications across diverse sectors.
In order to detect the character information of license plate in image quickly and conveniently, this paper designs a license plate recognition system based on image processing. the image processing operation in this ...
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this paper focuses on the user-centered design and development of an intelligent wearable device for real-time health monitoring, within an IoT ecosystem. Emphasizing ergonomics, aesthetic appeal, and ease of use, the...
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A realistic assessment for the cybersecurity posture of an organization involves a red team that acts as an attacker, using offensive security tools to test the existing defenses. We propose MEPHISTO, a red team tool ...
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the proceedings contain 266 papers. the topics discussed include: scADGH: scRNA-seq clustering utilizing on attention-based DAE and hybrid similarity GAE;research on power equipment condition monitoring based on simul...
ISBN:
(纸本)9798350361643
the proceedings contain 266 papers. the topics discussed include: scADGH: scRNA-seq clustering utilizing on attention-based DAE and hybrid similarity GAE;research on power equipment condition monitoring based on simulated annealing algorithm and convolutional neural network;efficient verification of cloud data security based on blockchain untrusted environment;research on robot cooperative intelligent manufacturing system based on machine vision;research on the application of computer deep learning technology in fault diagnosis model of smart photovoltaic power station;AUKF-based active collision avoidance of vehicles considering measurement noise uncertainty;research on high-performance framework of big data acquisition, storage and application for warfare simulation;and design of multi-intelligent body AGV path planning algorithm under cooperative stochastic game based on reinforcement learning improvement.
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