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based methods » based method (Expand Search), mixed methods (Expand Search)
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561
Innovative mobile E-healthcare systems
Published 2016“…In this work, we propose a new cache replacement algorithm—Profit SACCS—that is based on the rule-based least profit value. …”
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article -
562
Clustering records in information retrieval systems. (c1995)
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masterThesis -
563
Heat rate curve approximation for power plants without data measuring devices
Published 2012“…The method is applied on a given power system, in which we calculate the electricity cost using the CAPSE (computer aided power economics) algorithm. …”
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article -
564
Applications of fast fourier transform in the integrity evaluation of deep foundations
Published 2016“…The method is developed and validated using experimental data, and is based on applying the fast Fourier transform mapping algorithm on data obtained from cross-hole sonic logging. …”
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565
SDODV. (c2018)
Published 2018“…It monitors the traffic load, nodes mobility, neighborhood density and battery power to adjust the routing of packets accordingly. This protocol is based on the distributed reinforcement learning approach and on the traditional AODV. …”
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masterThesis -
566
Measuring ripple effect for object-oriented programs. (c2004)
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masterThesis -
567
Computational evluation of protein energy functions
Published 2014“…Also, we propose an approach based on a simulated annealing algorithm to find a better combination of energy terms, by assigning different weights to the terms, for the purpose of improving the capability of the computational prediction methods.…”
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conferenceObject -
568
Extremity Ischemia After Jellyfish Envenomation: A Case Report and Systematic Review of the Literature
Published 2022“…</p><h3>Methods</h3><p dir="ltr">A systematic review of cases of extremity ischemia and necrosis after envenomation by marine cnidarians was performed to clarify what is and what is not known about management and outcomes, to draw conclusions about how best to manage these rare presentations, and to establish an evidence-based algorithm.…”
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569
Enhancing resilience in the liquefied natural gas supply chain: A focus on chemical supply continuity
Published 2024“…Utilizing the K-means clustering algorithm, we categorize these supplies and pinpoint the most critical ones. …”
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570
A Navigation and Control System for a Robot in Indoor/Outdoor Environments
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doctoralThesis -
571
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572
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573
Timing influenced general-cell genetic floorplanner
Published 2020“…This phase is constraint graph based. The approach combines the robustness of genetic algorithm with run time efficiency and elegance of constraint graph based method. …”
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574
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575
An explicit finite-difference scheme for wave propagation in nonlinear optical structures
Published 2001“…The algorithm is an explicit nonlinear finite-difference method (NFDM) based on the exact solution of the nonlinear discrete equations. …”
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576
SemIndex+: A semantic indexing scheme for structured, unstructured, and partly structured data
Published 2018“…Various weighting functions and a parallelized search algorithm have been developed for that purpose and are presented here. …”
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577
CEAP
Published 2016“…Simulation results show that our model is able to increase the accuracy of detections, enhance the attack detection rate, decrease the false positive rate, and improve the packet delivery ratio in the presence of high mobility compared to the classical SVM-based, Dempster–Shafer-based, and averaging-based detection techniques.…”
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578
Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
Published 2024“…Our study demonstrates the effectiveness of the FBFT method, achieving impressive accuracies across multiple brain disorders using CNN-based classification. …”
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579
Lung cancer medical images classification using hybrid CNN-SVM
Published 2021“…This paper presents an image classification method based on the hybrid Convolutional Neural Network (CNN) algorithm and Support Vector Machine (SVM). …”
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580
Smart non-intrusive appliance identification using a novel local power histogramming descriptor with an improved k-nearest neighbors classifier
Published 2021“…Furthermore, an improved k-nearest neighbors (IKNN) algorithm is presented to reduce the learning computation time and improve the classification performance. …”