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auction algorithm » detection algorithm (Expand Search)
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221
Assigning proctors to exams using scatter search. (c2006)
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masterThesis -
222
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223
UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices
Published 2019“…Then, we develop an effective sub-optimal algorithm based on successive convex approximation in order to obtain results for larger network scenarios. …”
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224
Turbo-charging dominating set with an FPT subroutine
Published 2017“…Turbo-charging is a recent algorithmic technique that is based on the fixed-parameter tractability of the dynamic versions of some problems as a way to improve heuristics. …”
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conferenceObject -
225
Validation of plasma protein glycation and oxidation biomarkers for the diagnosis of autism
Published 2023“…It is currently diagnosed by behaviour-based assessments made by observation and interview. …”
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226
The Assessment and Allocation of Public Private Partnership Risks in the UAE
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doctoralThesis -
227
Computation of conformal invariants
Published 2020“…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
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228
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229
Reconfigured Photovoltaic Model to Facilitate Maximum Power Point Tracking for Micro and Nano-Grid Systems
Published 2022“…This enables the use of a simple Perturb and Observe (P&O) algorithm to easily track GMPP. For reconfiguration, a simple 5 × 5 PV array is considered, and a new physical relocation procedure based on the position square method is proposed. …”
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230
Impacts of On-Grid Solar PV on Distribution Networks and Potential Solutions: A Case Study in the Region of Zahle
Published 2025“…The siting and sizing methodology is conducted by considering five different optimization algorithms, namely the single-objective genetic algorithm (SOGA), the combined SOGA and loss sensitivity factor algorithm (SOGA-LSF), the multi-objective genetic algorithm (MOGA), the combined MOGA-LSF and the CAPADD algorithm of OpenDSS. …”
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masterThesis -
231
Modeling and Guidance of an Underactuated Autonomous Underwater Vehicle
Published 2017Get full text
doctoralThesis -
232
Computation of conformal invariants
Published 2021“…The method we use is based on the boundary integral equation method developed and implemented in [1]. …”
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233
Particle swarm optimization for multimachine power systemstabilizer design
Published 2001“…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …”
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234
A fuzzy basis function network for generator excitation control
Published 1997“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on generator loading conditions. The orthogonal least squares learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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235
The Role of Artificial Intelligence in Decoding Speech from EEG Signals: A Scoping Review
Published 2022“…The most prominent ML algorithm was a support vector machine, and the DL algorithm was a convolutional neural network. …”
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236
A new estimator and approach for estimating the subpopulation parameters
Published 2021“…<p dir="ltr">Based on some theoretical results, we recommend a new algorithm for estimating the total and mean of a subpopulation variable for the case of a known subpopulation size, which is different from the algorithm recommended by most of sampling books. …”
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237
Noise-Robust Parameter Estimation Of Linear Systems
Published 2020“…In this paper, a recursive parameters stimation algorithm, which is unbiased for a wide class of measurement noise, is developed. …”
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238
Toward automatic motivator selection for autism behavior intervention therapy
Published 2022“…We use a Q-learning algorithm to solve the modeled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. …”
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239
Enhancement of blocking performance in all-optical WDM networks. (c2012)
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masterThesis -
240
A hybrid neuro-fuzzy power system stabilizer for multimachine powersystems
Published 1998“…The proposed FBFN is trained over a wide range of operating conditions in order to re-tune the PSS parameters in real-time based on machine loading conditions. The orthogonal least squares (OLS) learning algorithm is developed for designing an adequate and parsimonious FBFN model. …”
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