Version-checking algorithms are formal verification strategies utilized within the layout and evaluation of computer architectures. These algorithms offer methods for robotically checking constraints and correctness c...
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The design and layout presented in this paper is on implementing reconfigurable frequency concept of an antenna with dimensions 30x30x1.6 mm3. It operates in multiple states with one of the state of operation is UWB b...
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This paper proposes a decentralized cooperative genetic algorithm (DCGA) to address the cross-robot resource allocation problem in leaderless multi-robot systems (MRS), where each agent is only capable of making local...
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reconfigurable computing has become very popular in recent years. Among all available architectures, Coarse-Grained reconfigurable Arrays are the most prominent ones. They permit to efficiently accelerate several clas...
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ISBN:
(纸本)9781665467001
reconfigurable computing has become very popular in recent years. Among all available architectures, Coarse-Grained reconfigurable Arrays are the most prominent ones. They permit to efficiently accelerate several classes of data-intensive algorithms without giving up architecture versatility, and their use in machine learning applications is becoming increasingly widespread. In particular, the typical workload of Convolutional Neural Networks fits very well on this kind of architecture. Unfortunately, their use in Graph Neural Networks is not well investigated. Graph Neural Network algorithms apply to use cases that are characterized by non-euclidean data, such as computer vision, natural language processing, traffic forecasting, chemistry, and recommendation systems. In this work, we analyse the most relevant Coarse-Grained reconfigurable Array devices and Graph Neural Network models. Our contribution includes a comparison between the hardware architectures and their use for the inference of Graph Neural Network models. We highlight their limitations and discuss possible directions that the development of these architectures could take.
Noise poses a maj or challenge to image processing, making accurate analysis and interpretation more difficult. Anisotropic diffusion algorithms specifically tailored for noisy images across several domains are examin...
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Electrocardiography (ECG) is extensively used in diagnosing cardiovascular conditions. The electrical activity of the heart is recorded by an electrocardiogram (ECG), yet noise interference can cause problems. ECG sig...
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The purpose of this exploration composition is to probe the use of inheritable algorithms(GAs) for intelligent resource operation in cloud computing settings. The optimization of resource allocation and operation is b...
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Load Frequency Control (LFC) plays a pivotal role in ensuring the stability and reliability of power systems by regulating the balance between generation and demand. However, traditional control methods often struggle...
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Contemporary networks are complex structures that require superior algorithms to maintain their security. This paper explores the usage of superior algorithms to cozy networks, focusing on the improvement and deployme...
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ISBN:
(纸本)9798350371055
Contemporary networks are complex structures that require superior algorithms to maintain their security. This paper explores the usage of superior algorithms to cozy networks, focusing on the improvement and deployment of efficient and comfortable algorithms for networked infrastructure. It examines current algorithms used to cozy networks, together with authentication and encryption algorithms, as well as a spread of rising technologies, which include artificial intelligence (AI) and gadget learning (ML). it'll study techniques to optimize the safety of the network through the improvement of smart protection architectures, as well as the demanding situations and opportunities posed by real-international implementations paper will offer a evaluation of various safety algorithms utilized in networks, and speak strategies for efficient deployment and integration in current networks. It'll define demanding situations related to the deployment of advanced algorithms on networks and provide a top level view of the modern nation of safety solutions and their implications for networked infrastructure. Sooner or later, it's going to offer guidelines for destiny studies to further optimize safety for allotted infrastructure. Networked Infrastructure security is a fundamental part of any contemporary gadget. To make certain that such systems are thoroughly covered from malicious actors, superior algorithms are frequently employed to optimize the overall safety of the community. These algorithms are used to identify and detect malicious activities, as well as offer anomaly detection competencies. Moreover, they frequently leverage synthetic intelligence techniques along with device gaining knowledge of and herbal language processing to carry out extra effective and accurate protection analysis. The usage of those algorithms can ensure complete security coverage, as well as improve reaction time to threats and vulnerabilities. Furthermore, it is able to provide an extra degree
Cyberbullying has become a pervasive issue in online communities, necessitating the development of robust detection methods to mitigate its harmful effects. In this paper, we propose an innovative approach to cyberbul...
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