Search alternatives:
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
based methods » based method (Expand Search), mixed methods (Expand Search)
element » elements (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
method algorithm » mould algorithm (Expand Search)
based methods » based method (Expand Search), mixed methods (Expand Search)
element » elements (Expand Search)
-
141
Enhancement of two-dimensional holographic images by resolutionimprovement through hologram aperture expansion
Published 1989“…Due to the 1-D nature of the algorithm, different predictive models used for rows and columns in the case of 2-point and similar objects; which calls for some prior knowledge of the object geometry. …”
Get full text
Get full text
article -
142
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
Published 2023“…This preconditioner, denoted as Block CPR (BCPR), is specifically designed for Lagrange multipliers-based flow models, such as those generated by Mixed Hybrid Finite Element (MHFE) approximations. …”
-
143
Development of a cerebral aneurysm segmentation method to prevent sentinel hemorrhage
Published 2023“…A robust brain aneurysm segmentation has the potential to prevent the blood leakage, also known as sentinel hemorrhage. Here, we present a method combining a multiresolution and a statistical approach in two dimensional domain to segment cerebral aneurysm in which the Contourlet transform (CT) extracts the image features, while the Hidden Markov Random Field with Expectation Maximization (HMRF-EM) segments the image, based on the spatial contextual constraints. …”
-
144
Iterative Methods for the Solution of a Steady State Biofilter Model
Published 2017Get full text
doctoralThesis -
145
Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study
Published 2024“…Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. …”
-
146
Multiclass feature selection with metaheuristic optimization algorithms: a review
Published 2022“…Metaheuristic algorithms have also been presented in four primary behavior-based categories, i.e., evolutionary-based, swarm-intelligence-based, physics-based, and human-based, even though some literature works presented more categorization. …”
Get full text
-
147
A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem
Published 2020“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
Get full text
article -
148
A simulated annealing algorithm for fuzzy unit commitment problem
Published 1999“…This paper presents a new algorithm based on integrating simulated annealing and fuzzy logic methods to solve the unit commitment problem. …”
Get full text
Get full text
article -
149
Economic load dispatch using memetic sine cosine algorithm
Published 2022“…SCA is a recent population based optimizer turned towards the optimal solution using a mathematical-based model based on sine and cosine trigonometric functions. …”
Get full text
-
150
A Survey of cuckoo search algorithm: optimizer and new applications
Published 2024“…Cuckoo search (CS) is an efficient swarm intelligence-based algorithm that has come a long way since its start in 2009. …”
Get full text
-
151
Parameter Estimation Of Wiener-Hammerstein Models Via Genetic Algorithms
Published 2020“…Numerical simulations are presented to illustrate the effectiveness of the proposed algorithm based on different input signals, and different noise-to-signal ratios of the output. …”
Get full text
article -
152
An efficient method for the open-shop scheduling problem using simulated annealing
Published 2016“…The method is based on a simulated annealing algorithm that efficiently explores the solution space. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
153
Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm
Published 2024“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
Get full text
Get full text
Get full text
masterThesis -
154
A multi-pretraining U-Net architecture for semantic segmentation
Published 2025“…In this research, we propose and evaluate a modified version of a deep learning algorithm called U-Net architecture for partitioning histopathological images. …”
-
155
-
156
A new minimum curvator multi-step method for unconstrained optimization
Published 1998“…Our derivation of the new algorithm is based on determining some value of the parameter that minimizes the curvature in some chosen metric. …”
Get full text
Get full text
Get full text
conferenceObject -
157
An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…The method is based on a genetic algorithm that efficiently explores the testable design space. …”
Get full text
Get full text
Get full text
Get full text
conferenceObject -
158
Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
Get full text
Get full text
Get full text
article -
159
Power Control Algorithms for Media Transmission in Remote Healthcare Systems
Published 2018“…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …”
-
160
Methods for system-on-chip test design, scheduling and optimization. (c2006)
Published 2006Get full text
Get full text
masterThesis