Search Results - (( based evaluation between algorithm ) OR ( time estimation based algorithm ))*
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1
Variable block based motion estimation using hexagon diamond full search algorithm (HDFSA) via block subtraction technique
Published 2015“…In the video and frame selection, pre-defined video which have different type of motion and size is used for the algorithm evaluation purpose. The threshold calculation is based on the video selected. …”
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2
Identification of the thermoelectric cooler using hybrid multi-verse optimizer and sine cosine algorithm based continuous-time Hammerstein model
Published 2021“…This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. …”
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3
Parameter estimation of cocomo model using the jaya algorithm for software cost estimation
Published 2019“…This thesis proposed the Jaya algorithm based on estimation of the software based on the COCOMO I model. …”
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4
Thermoelectric cooler identification based on continuous-time hammerstein model using metaheuristics algorithm
Published 2021“…Efficiency of the hMVOSCA algorithm also evaluated based on the convergence curve, bode plot of the linear subsystem, function plot of the nonlinear subsystem, and statistical performance value. …”
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5
Segmentation of MRI brain images using statistical approaches
Published 2011“…Also, a filter-based image inhomogeneity-correction algorithm is proposed which uses the maximum filter for inhomogeneity field estimation. …”
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6
Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
Published 2021“…This paper presents the identification of double pendulum overhead crane (DPOC) plant based on the hybrid Multi-Verse Optimizer with Sine Cosine Algorithm (HMVOSCA) using the continuous-time Hammerstein model. …”
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7
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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8
Lightweight spatial attentive network for vehicular visual odometry estimation in urban environments
Published 2022“…However, current learning-based methods are computationally expensive and require a significant amount of time to estimate the pose from a video sequence. …”
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9
Neighbour-based on-demand routing algorithms for mobile ad hoc networks
Published 2017“…Accordingly, a Novel Density-Aware Routing algorithm (NDAR) is proposed. The proposed algorithm totally eliminates the need for fixed threshold values through the use of a novel formula that can easily estimate the node density and replace the fixed threshold value based on the neighbor information. …”
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10
Estimating Marine CSEM Responses Using Gaussian Process Regression Based on Synthetic Models
Published 2022“…Current practice for processing marine CSEM responses utilizes meshes-based algorithms. The ad hoc algorithms require high computational time to solve the integrals and linear equations. …”
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11
An Adaptive Switching Cooperative Source Searching And Tracing Algorithms For Underwater Acoustic Source Localization
Published 2019“…To adaptively switches between the two algorithms, an adaptive switching algorithm based on a Generalized Likelihood Ratio Test (GLRT) is proposed. …”
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12
Q-learning based vertical handover decision algorithm in LTE-A two-tier macrocell-femtocell systems / Ammar Bathich
Published 2019“…A reduction in the average number of handovers, the average number of control signaling measurements and packet loss and delay is observed. At the same time, the system throughput was increased. The proposed algorithms reduced the handover number, packet delay and packet loss by 48%, 89% and 85% respectively, whereas the system throughput increased by 13% compared to reference algorithms.…”
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13
Time delay estimation using continuous wavelet transform coefficients
Published 2017“…Accurate time delay estimation between two turbulent signals is challenging due to the non-stationary behaviour of these signals. …”
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14
The impact of executive function and aerobic exercise recognition in obese children under deep learning
Published 2025“…Initially, a motion recognition model based on STN and Lucas–Kanade optical flow algorithm optimization was constructed. …”
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15
Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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16
A new hybrid deep neural networks (DNN) algorithm for Lorenz chaotic system parameter estimation in image encryption
Published 2023“…The first research objective is to develop a new deep learning algorithm by a hybrid of DNN and K-Means Clustering algorithms for estimating the Lorenz chaotic system. …”
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17
Low-distortion MMSE speech enhancement estimator based on laplacian prior
Published 2017“…The analytical solutions of the Laplacian distribution-based estimators, linear bilateral Laplacian gain estimator (LBLG), and nonlinear bilateral Laplacian gain estimator (NBLG), are presented. …”
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18
Risk assessment for safety and health algorithm for building construction in Oman
Published 2015“…This common mistake has cost and time implications in construction activities. It was found that 60% of evaluations using RA might be estimated mistakenly. …”
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19
A Novel Hybrid Deep Learning Model Based on Simulated Annealing and Cuckoo Search Algorithms for Automatic Radiomics-Based COVID-19 Diagnosis
Published 2025“…Given that the specificity for discriminating between the causes of conventional pulmonary features is lower than its sensitivity, the primary goal of this study is to develop and evaluate a CT-based radiomics model capable of distinguishing between COVID-19 and other lung diseases. …”
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20
Optimization of multipurpose reservoir operation using evolutionary algorithms / Mohammed Heydari
Published 2017“…To evaluate the hybrid algorithm, optimization of hydro-power energy of Karun dams were considered. …”
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