بدائل البحث:
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
event based » agent based (توسيع البحث)
element » elements (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
event based » agent based (توسيع البحث)
element » elements (توسيع البحث)
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A Parallel Neural Networks Algorithm for the Clique Partitioning Problem
منشور في 2002"…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …"
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
منشور في 2010"…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …"
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Extreme Early Image Recognition Using Event-Based Vision
منشور في 2023"…Unlike frame-based imagers, event-based imagers output asynchronous pixel events without the need for global exposure time, therefore lowering both power consumption and latency. …"
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Generic metadata representation framework for social-based event detection, description, and linkage
منشور في 2020"…The latter are required as the building blocks for event-based Collective Knowledge (CK) organization, where CK underlines the combination of all known data, information, and metadata concerning a given concept or event. …"
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Metaheuristic Algorithm for State-Based Software Testing
منشور في 2018"…SA evolves a solution by minimizing an energy function that is based on testing objectives such as coverage, diversity, and continuity of events. …"
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Bird’s Eye View feature selection for high-dimensional data
منشور في 2023"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"
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Process Mining over Unordered Event Streams
منشور في 2020"…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …"
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Sample intelligence-based progressive hedging algorithms for the stochastic capacitated reliable facility location problem
منشور في 2024"…We present the effectiveness of the developed integrated approaches, Sampling Based Progressive Hedging Algorithm (SBPHA) and Discarding SBPHA (d-SBPHA), over the pure strategies (i.e. …"
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Deep Reinforcement Learning for Resource Constrained HLS Scheduling
منشور في 2022"…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …"
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An Event-Triggered Robust Attitude Control of Flexible Spacecraft With Modified Rodrigues Parameters Under Limited Communication
منشور في 2019"…Aligned with these design objectives, a robust event-triggered attitude control algorithm is proposed to regulate the orientation of a flexible spacecraft subjected to parametric uncertainties, external disturbances, and vibrations due to flexible appendages. …"
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Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy
منشور في 2006"…The classification technique has the unique feature of cutting down the computation largely by only allowing the event of interest to be executed by a particular algorithm. …"
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Metaheuristic algorithm for testing web 2.0 applications. (c2012)
منشور في 2012احصل على النص الكامل
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masterThesis -
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XBeGene: Scalable XML Documents Generator by Example Based on Real Data
منشور في 2012"…Inspired by the query-by-example paradigm in information retrieval, Our generator system i)allows the user to provide her own sample XML documents as input, ii) analyzes the structure, occurrence frequencies, and content distributions for each XML element in the user input documents, and iii) produces synthetic XML documents which closely concur, in both structural and content features, to the user's input data. …"
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Prediction of EV Charging Behavior Using Machine Learning
منشور في 2021"…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …"
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article