In marine search and rescue applications, Event-driven networks are capable of monitoring and capturing events as they occur in real time. In this paper, an event-driven coverage optimization strategy based on the vir...
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Presently, a competent professional must perform a thorough manual examination of digital color fundus photographs of the retina in order to diagnose diabetic retinopathy (DR). The delayed results result in missed eva...
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The diagnosis of liver illnesses is critical for efficient treatment and management of the condition. By combining deep learning model-based classification with ultrasonic image reconstruction, the developed method ai...
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The detection of infrared weak small targets often presents substantial challenges due to their small size, remote distance, and low contrast, exacerbated by external factors such as atmospheric interference. While da...
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The proceedings contain 15 papers. The topics discussed include: a data pre-processing module for improved-accuracy machine-learning-based micro-single-event-latchup detection;availability vs. lifetime trade-space in ...
ISBN:
(纸本)9798350341379
The proceedings contain 15 papers. The topics discussed include: a data pre-processing module for improved-accuracy machine-learning-based micro-single-event-latchup detection;availability vs. lifetime trade-space in spacecraft computers;early design exploration of space system scenarios using assume-guarantee contracts;web-based 3d visualization for flight mission network cybersecurity analysis;ablation study of how run time assurance impacts the training and performance of reinforcement learning agents;how to scrub a launch: spaceport cybersecurity;a research agenda for space flight software security;intelligent requirement-to-test-case traceability system via natural language processing and machine learning;a hybrid space architecture for robust and resilient satellite services;and coverage-guided state space exploration of autonomous cyber-physical systems.
Deep learning has become extremely popular in recent years due to its potential to replicate the human brain and produce defensible conclusions with the aid of multilayered neural networks. Blockchain is a relatively ...
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Earthquakes are really dangerous and hard to predict. They can cause a lot of damage to buildings, hurt people, and make life difficult for communities. Right now, we don't have a great way to know exactly when th...
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As the demand for power load forecasting continues to grow in modern society, this paper proposes an improved D-KAN model that integrates Kolmogorov-Arnold Networks (KAN) into the DLinear power load time series predic...
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Dynamic wireless charging of EVs is an autonomous and user-friendly method for wireless battery charging of electric vehicles. However, the power transmission efficiency of the system is affected by the design of the ...
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Industrial safety is essential for the reliability and sustainability of production operations. In this study, a safety protective equipment detection scheme based on YOLOv8 algorithm is proposed for industrial securi...
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