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method algorithm » mould algorithm (Expand Search)
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381
On Indefinite Quadratic Optimization over the Intersection of Balls and Linear Constraints
Published 2022“…To solve e-TRS, we use the alternating direction method of multipliers approach and a branch and bound algorithm. …”
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382
Localization of Damages in Plain And Riveted Aluminium Specimens using Lamb Waves
Published 2018“…The genetic optimization (GO) method is used to further refine the location of damage within the enclosed area obtained using astroid algorithm. …”
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383
Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks
Published 2024“…This article introduces an efficient transient stability status prediction method based on deep temporal convolutional networks (TCNs). …”
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384
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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385
Efficient Scalable VLSI Architecture for Montgomery Inversion in GF(p)
Published 2004“…We suggest a new correction phase for a previously proposed almost Montgomery inverse algorithm to calculate the inversion in hardware. We also propose an efficient hardware algorithm to compute the inverse by multi-bit shifting method. …”
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386
RFID localization using single reader antenna. (c2014)
Published 2016“…Our scheme is based on Power Map Matching algorithm. The proposed method employs the use of a Single Stationary Reader Antenna and multitags placed on the asset. …”
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masterThesis -
387
Impacts of Feeder Reconfiguration on Renewable Resources Allocation in Balanced and Unbalanced Distribution Systems
Published 2016“…In this article, network reconfiguration and distributed generation allocation in distribution networks are dealt with simultaneously while imposing an objective of minimizing energy loss. The proposed method, which is based on a genetic algorithm, takes into consideration the uncertainty related to renewable distributed generation output power and the load variability. …”
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388
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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389
From Collatz Conjecture to chaos and hash function
Published 2023“…The effectiveness and dependability of the proposed hash function are evaluated by comparing it with two well-known hash algorithms, namely SHA-3 and SHA-2, as well as several other Chaos-based hash algorithms. …”
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390
Radial basis function networks for contingency analysis of bulkpower systems
Published 1999“…Unlike most of the available neural networks based techniques, the proposed method utilizes the potential of RBFN in planning studies. …”
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391
Automation of the Arabic sign language recognition
Published 2004“…This paper introduces a system to recognize the Arabic sign language using an instrumented glove and a machine learning method. Interfaces in sign language systems can be categorized as direct-device or vision-based. …”
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392
Supervised term-category feature weighting for improved text classification
Published 2022“…Hence, choosing a suitable method for term weighting is of major importance and can help increase the effectiveness of the classification task. …”
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393
Single-channel speech denoising by masking the colored spectrograms
Published 2025“…The results show that with masking-based targets, the colored spectrograms provide an improvement of 0.12 points in perceptual evaluation of speech quality (PESQ) score, 4 % in short time objective intelligibility (STOI), and a 163 times reduction in network learnable parameters, as compared to when they are processed by a mapping-based model using pix2pix generative adversarial network (GAN) followed by a feedforward regression neural network. …”
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394
Corona power loss computation in bundled bipolar conductors
Published 2000“…In this paper, a finite element (FE) based algorithm devoted for the computation of the corona current and hence the corona power loss associated with bundled bipolar high voltage direct current (HVDC) conductors is presented. …”
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article -
395
Contingency analysis of bulk power system using neural networks
Published 1998“…Unlike most of the available neural network-based techniques, the proposed method utilizes the potential of RBFN in planning studies. …”
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396
Communications in electronic textile systems
Published 2017“…This communication is studied through the construction of a prototype as well as through modeling and simulation. A new algorithm based on token grid schemes is presented that takes advantage of the e-textile physical configuration.…”
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conferenceObject -
397
A Blockchain Model for Secure Communications in Internet of Vehicles
Published 2021“…In this paper, we present a framework for secure IoV communications by utilizing the High Performance Blockchain Consensus (HPBC) algorithm. Based on a previously published communication model for VANETs that uses an efficient routing protocol for transmitting packets between vehicles, we describe in this paper how to integrate a blockchain model on top of the IoV communications system. …”
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conferenceObject -
398
An Alternating Projection Framework for Elementwise Masked Nonlinear Matrix Decomposition
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doctoralThesis -
399
An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan
Published 2024“…In this research, we have ameliorated the performance of the recently-introduced novel energy pattern factor method (NEPFM) via a direct search algorithm, i.e., simplex search algorithm (SSA). …”
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400
A modified optimal design of a vibration absorber for ground motion isolation
Published 2014“…This approximate analytical solution is validated through comparison with the exact optimal parameters which were calculated numerically using two different numerical optimization methods. The first is based on the genetic algorithm technique and the second on the downhill simplex method. …”
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