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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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221
A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM
Published 2020“…In this paper, we develop a new algorithm for solving this problem based on a tabu search technique. …”
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222
Tabu Search For A Class Of Single-Machine Scheduling Problems
Published 2020“…The performance of the developed algorithm is tested for solving the variance minimization problem. …”
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223
Plant disease detection using drones in precision agriculture
Published 2023“…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …”
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Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks
Published 2023“…A case study has been done in the Peer Panjal region. The data collected for four months with various parameters have been applied randomly as input data using GD and LM type of artificial neural network compared to actual solar energy data. …”
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226
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 -
227
Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis -
228
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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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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Adaptive PID Controller for a Non Linear Pendulum System Using Recurrent Neural Networks
Published 2005Get full text
doctoralThesis -
232
Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models
Published 2025“…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
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Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models
Published 2025“…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
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Inferential sensing techniques in industrial applications
Published 0007“…Inferential sensing technique is a method to estimate certain quantities based on a set of conventional measurements. The core of inferential sensing is based on modeling and estimation techniques. …”
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masterThesis -
235
Automated quantification of penile curvature using artificial intelligence
Published 2022“…<h3>Objective</h3><p dir="ltr">To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images.…”
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Optimizing overheating, lighting, and heating energy performances in Canadian school for climate change adaptation: Sensitivity analysis and multi-objective optimization methodolog...
Published 2023“…This paper aims to develop long-term adaptation strategies for the existing Canadian school buildings under extreme current and future climates using a developed methodology based on global and local sensitivity analysis and Multi-Objective Optimization Genetic Algorithm. …”
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Optimizing clopidogrel dose response
Published 2016“…A clinical-pharmacogenetic algorithm was developed based on whether clopidogrel shows 1) expected effect as per indication, 2) little or no effect, or 3) clinical features that patients experience and fit with clopidogrel adverse drug reactions. …”
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A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns
Published 2023“…The first model (M1) determines the oil-water FP, whereas the second model (M2) predicts the oil-water PG. 1637 experimental data points for the oil-water flow in both horizontal and inclined pipes are used to develop the models. The important feature subset is identified using the modified Binary Grey Wolf Optimization Particle Swarm Optimization (BGWOPSO) algorithm. …”
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A linear programming approach for the weighted graph matchingproblem
Published 1993“…The developed algorithm is compared to two other algorithms. …”
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240
Autonomous Demand-Side Management in the Future Smart Grid
Published 2016Get full text
doctoralThesis