In recent years, the integration of large language models (LLMs) into cybersecurity has demonstrated significant potential in enhancing vulnerability analysis. This paper provides a comprehensive review of current lit...
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This article presents a power divider suitable for realizing a SWIPT (Simultaneous Wireless Information and Power Transfer) system, based on power splitting architecture. A power divider which can provide tunable powe...
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As the digitization of education informatization continues to advance, increasingly stringent demands are placed on the systematization, intelligence and functionality. It is known that the intelligent teaching design...
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Deep neural networks trained on large datasets have achieved good results in image denoising. However, networks trained on specific datasets often have poor generalization, which is not conducive to practical applicat...
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As data-driven applications become increasingly prevalent, traditional cloud computing faces challenges such as latency and operational costs. Edge computing solves these issues by using nearby servers for real-time p...
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ISBN:
(数字)9783031640643
ISBN:
(纸本)9783031640636;9783031640643
As data-driven applications become increasingly prevalent, traditional cloud computing faces challenges such as latency and operational costs. Edge computing solves these issues by using nearby servers for real-time processing. However, determining the optimal offloading strategy remains complex. This paper investigates a Deep Reinforcement learning (DRL)-based binary offloading strategy for edge computing in mobile environments. DRL combines reinforcement learning and deep neural networks to adapt to real-time data and diverse environmental conditions. Experimental study demonstrates the effectiveness of the proposed approach over local and remote execution in terms of total overhead and energy consumption.
This paper presents a study on the control of unmanned bicycle motion based on inertial wheels in the pybullet physics simulation environment. To address the nonlinear and strongly coupled nature of unmanned bicycles,...
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The proceedings contain 150 papers. The topics discussed include: analysis of communication strategy of Guzheng art based on artificial intelligence;research on the health detection and seismic performance evaluation ...
The proceedings contain 150 papers. The topics discussed include: analysis of communication strategy of Guzheng art based on artificial intelligence;research on the health detection and seismic performance evaluation of high-rise buildings;application of ecological energy saving design in building reconstruction project;computer network communication security encryption system based on ant colony optimization algorithm;an analysis of data mining techniques in software engineeringdatabase design;intelligent analysis algorithm for hidden danger identification of intelligent network monitoring system from the perspective of big data;human behavior recognition of video surveillance system based on neural network;application of AI intelligentlearning system in multimedia demonstration;and application of artificial intelligence technology in power system stability assessment.
The study explores how sentiment analysis and forecasting can improve the business performance, especially for e-commerce platforms like Amazon to analyze customer feedback for enhancing future work. This study focuse...
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Diabetic retinopathy (DR) is a frequent consequence linked to diabetes mellitus, characterized by progressive damage to the retina that can result in visual impairment and, if not detected and addressed promptly, can ...
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Conventional advertisement displays have always been a one-way communication channel, as they do not provide an avenue for users to give feedback. This is a primary barrier since firms must tailor their advertising st...
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