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method algorithm » mould algorithm (Expand Search)
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method algorithm » mould algorithm (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data finding » data mining (Expand Search), data hiding (Expand Search)
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C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
Published 2023“…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …”
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223
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…Combination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. …”
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conferenceObject -
224
Consensus-Based Distributed Formation Control of Multi-Quadcopter Systems: Barrier Lyapunov Function Approach
Published 2023“…Therefore, the asymptotic convergence of the designed distributed algorithm to the centralized one is guaranteed. …”
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Scheduling and allocation in high-level synthesis using stochastic techniques
Published 2020“…In this work, a unique approach to scheduling and allocation problem using the genetic algorithm (GA) is described. This approach is different from a previous attempt using GA (Wehn et al., IFIP Working Conference on Logic and Architecture Synthesis, Paris, 1990, pp. 47–56) in many respects. …”
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228
Extreme Early Image Recognition Using Event-Based Vision
Published 2023“…<p dir="ltr">While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. …”
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Successful use of MiniMed 780G during pregnancy
Published 2023“…However, most of the available HCL systems’ glucose targets and algorithms are not designed to overcome the challenges that face insulin therapy during pregnancy. …”
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Correlation Clustering with Overlaps
Published 2020“…In other words, data elements (or vertices) will be allowed to be members in more than one cluster instead of limiting them to only one single cluster, as in classical clustering methods. …”
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masterThesis -
231
FPGA-Based Network Traffic Classification Using Machine Learning
Published 2020“…Further, and since software-based classifiers cannot meet the anticipated real-time requirements, we propose a Field-Programmable Gate Array (FPGA) based random forest implementation that utilizes a highly pipelined architecture to accelerate such a time-consuming task. The proposed design achieves an average throughput of 163.24 Gbps, exceeding throughputs of reported hardware-based classifiers that use comparable approaches, which in turn ensures the continuity of realtime traffic classification at congested data centers.…”
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232
FPGA-Based Network Traffic Classification Using Machine Learning
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doctoralThesis -
233
Internal Model Control Structure Using Adaptive Inverse Control Strategy
Published 2003“…The internal model of the plant is estimated by recursive least square algorithm and the inverse of the system by least mean square. …”
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234
Defining quantitative rules for identifying influential researchers: Insights from mathematics domain
Published 2024“…These rules are based on measurable quantities that can easily be applied to a researcher's quantitative data. Various search engines, like Google Scholar, Semantic Scholar, Web of Science etc. …”
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A Graph Heuristic Approach for the Data Path Allocation Problem
Published 2022“…This paper aims to reduce the design productivity gap by presenting a new algorithm to optimize chip design automation in terms of runtime and solution quality. …”
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masterThesis -
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A new variable structure DC motor controller using geneticalgorithms
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Integration of Textural and Material Information into BIM Using Spectrometry and Infrared Sensing
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doctoralThesis -
238
Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn...
Published 2020“…LR with the reduced feature set using the intersection between CS and RFE proved to be the best model among the tested algorithms. …”
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Tuning of a fuzzy logic power system stabilizer using geneticalgorithms
Published 1997“…The proposed approach uses genetic algorithms (GA) to search for optimal or near optimal settings of fuzzy logic power system stabilizer (FLPSS) parameters. …”
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