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181
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182
A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models
منشور في 2024"…Then, the DRF optimization algorithm is applied to optimally tune the features required for accurate intrusion detection and classification. …"
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183
Optimal design of power-system stabilizers using particle swarm optimization
منشور في 2002"…In this paper, a novel evolutionary algorithm-based approach to optimal design of multimachine power-system stabilizers (PSSs) is proposed. …"
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article -
184
Energy Hub Optimal Scheduling and Management in the Day-Ahead Market Considering Renewable Energy Sources, CHP, Electric Vehicles, and Storage Systems Using Improved Fick’s Law Alg...
منشور في 2023"…<p dir="ltr">Coordinated energy scheduling and management strategies in the energy hub plan are essential to achieve optimal economic performance. In this paper, the scheduling and management framework of an energy hub (EH) is presented with the aim of energy profit maximization in partnership with electricity, natural gas, and district heating networks (EGHNs) considering the coordinated multi-energy management based on the day-ahead market. …"
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185
Stochastic evolution algorithm for technology mapping
منشور في 1998"…SELF-Map is based on the Stochastic Evolution (SE) algorithm. …"
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article -
186
Evolutionary Algorithms for VLSIMultiobjective Netlist Partitioning
منشور في 2006"…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-Partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …"
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article -
187
An evolutionary algorithm for network topology design
منشور في 2001"…We present an approach based on a simulated evolution algorithm for design of a campus network topology. …"
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article -
188
Exam scheduling algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
189
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190
Scalable Parallel Algorithms for FPT Problems
منشور في 2006"…Algorithmic methods based on the theory of fixed-parameter tractability are combined with powerful computational platforms to launch systematic attacks on combinatorial problems of significance. …"
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191
Data Redundancy Management in Connected Environments
منشور في 2020"…We describe its modules, and clustering-based algorithms. Moreover, our proposal detects temporal, and spatial-temporal redundancies in order to consider both static and mobile devices/sensors. …"
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conferenceObject -
192
A clustering metaheuristic for large orienteering problems
منشور في 2022"…The metaheuristic starts by decomposing the problem into smaller, independent sub-problems that are efficiently solved using an algorithm of choice, sequentially or in parallel. The obtained solutions are then merged to form a solution for the original problem, and then further optimized and processed to ensure feasibility. …"
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193
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194
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195
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016احصل على النص الكامل
doctoralThesis -
196
DRL-Based IRS-Assisted Secure Visible Light Communications
منشور في 2022"…The DDPG-based algorithm provides an optimized solution that can adapt to the large size of design parameters and act fast to the channel variations due to users’ mobility. …"
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197
Optimizing clopidogrel dose response
منشور في 2016"…The aim of the study is to investigate the cumulative effect of CYP2C19 gene polymorphisms and drug interactions that affects clopidogrel dosing, and apply it into a new clinical-pharmacogenetic algorithm that can be used by clinicians in optimizing clopidogrel-based treatment. …"
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article -
198
Artificial neural network algorithms. (c1999)
منشور في 1999احصل على النص الكامل
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masterThesis -
199
Optimization metaheuristic for software testing
منشور في 2013"…In our work, we model web applications by associating features or web pages with states; state transition diagrams are based on events representing state transitions. We formulate the web application testing problem as an optimization problem and use a simulated annealing (SA) metaheuristic algorithm to generate test cases as sequences of events while keeping the test suite size reasonable. …"
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conferenceObject -
200
Analysis of Multi-User-Based UAV System With Outdated CSI
منشور في 2024"…In this framework, altitude and location-dependent path loss modeling are considered for the air-to-ground links. Optimization of UAV location and altitude is performed through a limited-memory Broyden-Fletcher-Goldfarb-Shanno (LBFGS) algorithm to attain minimum OP (MOP). …"