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Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…High-level synthesis is the process of automatically translating abstract behavioral models of digital systems to implementable hardware. Operation scheduling and hardware allocation are the two most important phases in the synthesis of circuits from behavioral specification. …”
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203
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …”
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204
Detecting Arabic Cyberbullying Tweets in Arabic Social Using Deep Learning
Published 2023“…The data needs to be initially prepared so that deep learning algorithms may be trained on it before cyberbullying analysis can be done. …”
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A machine learning approach for localization in cellular environments
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206
Recent advances on artificial intelligence and learning techniques in cognitive radio networks
Published 2015“…The literature survey is organized based on different artificial intelligence techniques such as fuzzy logic, genetic algorithms, neural networks, game theory, reinforcement learning, support vector machine, case-based reasoning, entropy, Bayesian, Markov model, multi-agent systems, and artificial bee colony algorithm. …”
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207
Multi-Agent Learning of Strategies in Abstract Argumentation Mechanisms
Published 2009“…As for the effect of the learning algorithm on the choice of strategy, the results confirm that WPL is biased toward mixed strategies while GIGA is faster in convergence to pure strategy Nash equilibria. …”
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Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace
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209
Prototype project management tool (PPMT) with cocomo calibration. (c1998)
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210
Dynamic multiple node failure recovery in distributed storage systems
Published 2018“…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …”
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Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…Fluid-structure interaction (FSI) modeling is adapted in these models to account for counter-interacting forces of flowing blood and deforming leaflets for most accurate results. However, implementation of this approach is difficult using custom built codes and algorithms. …”
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212
Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling
Published 2017“…Fluid-structure interaction (FSI) modeling is adapted in these models to account for counter-interacting forces of flowing blood and deforming leaflets for most accurate results. However, implementation of this approach is difficult using custom built codes and algorithms. …”
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213
Four quadrant robust quick response optimally efficient inverterfed induction motor drive
Published 1989“…The control algorithms developed are readily implementable with present-day microprocessors…”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…Moreover, the structure of the proposed algorithm allows for a faster parallelized implementation.…”
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Using Fractional Bernoulli Wavelets for Solving Fractional Diffusion Wave Equations with Initial and Boundary Conditions
Published 2021“…To demonstrate the validity and applicability of the presented method, we offer five significant examples, including generalized Cattaneo diffusion wave and Klein–Gordon equations. The implementation of algorithms exposes high accuracy of the presented numerical method. …”
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217
Barriers of Adopting Artificial Intelligence Tools in Engineering Construction Projects
Published 2023“…Insufficient knowledge and understanding of AI, data management and integration issues, legal and regulatory hurdles, financial considerations, reluctance to change, and interoperability issues all hinder AI system adoption and implementation. First, many engineering and construction specialists may not understand or use artificial intelligence. …”
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Autopilot Design and Commercial Autopilot Evaluation Using Flybarless Helicopter
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Using artificial bee colony to optimize software quality estimation models. (c2015)
Published 2016“…We validate our technique on data describing maintainability and reliability of classes in an Object-Oriented system. We compare our models to others constructed using other well established techniques such as C4.5, Genetic Algorithms, Simulated Annealing, Tabu Search, multi-layer perceptron with back-propagation, multi-layer perceptron hybridized with ABC and the majority classifier. …”
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masterThesis