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101
Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…The behavior of the species when traveling and foraging in the waters is the main source of SSA and MSSA. These two algorithms are put to test on a variety of mathematical optimization functions to see how they behave when it comes to finding the best solutions to optimization problems. …”
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102
A new multimodulus blind equalization algorithm
Published 2004“…A new algorithm is presented for the blind equalization of complex signals. …”
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103
A new reactive power optimization algorithm
Published 2003“…A new implementation for the particle swarm algorithm has been applied. …”
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104
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105
Scatter search for protein structure prediction. (c2008)
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masterThesis -
106
Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…The goal is to select a set of sensors based on norms of weighted distances cost function. …”
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107
Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms
Published 2018“…Various weighting functions and intelligent search algorithms have been developed for that purpose and will be presented here. …”
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conferenceObject -
108
Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids
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doctoralThesis -
109
Accuracy of an internationally validated genetic-guided warfarin dosing algorithm compared to a clinical algorithm in an Arab population
Published 2024“…To compare the accuracy of a clinical warfarin dosing (CWD) versus genetic warfarin dosing algorithms (GWD) during warfarin initiation. …”
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110
New fault models and efficient BIST algorithms for dual-portmemories
Published 1997“…The testability problem of dual-port memories is investigated. A functional model is defined, and architectural modifications to enhance the testability of such chips are described. …”
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111
Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…In this paper, a novel SD algorithm is presented based on the deep deterministic policy gradient (DDPG) agent; an off-policy reinforcement learning (RL) agent with a continuous action space. …”
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112
Second-order conic programming for data envelopment analysis models
Published 2022“…Moreover, it presents an algorithm that solves the former problem, and provides a MATLAB function associated with it. …”
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113
Improved Dwarf Mongoose Optimization for Constrained Engineering Design Problems
Published 2022“…This paper proposes a modified version of the Dwarf Mongoose Optimization Algorithm (IDMO) for constrained engineering design problems. …”
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114
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115
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation
Published 2024“…Effective and reliable assessment methods are required to accurately classify and estimate brain age. In this study, a brain age classification and estimation framework is proposed using structural magnetic resonance imaging (sMRI) scans, a 3-D convolutional neural network (3-D-CNN), and a kernel ridge regression-based random vector functional link (KRR-RVFL) network. …”
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116
A systolic algorithm for VLSI design of a 1/N rate Viterbi decoder
Published 1989“…The systolic algorithm is modeled in AHPL to verify functional correctness. …”
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117
Improving the Secure Socket Layer Protocol by modifying its Authentication function
Published 2017“…SSL uses three interdependent cryptographic functions to perform a secure connection. The first function is authentication. …”
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conferenceObject -
118
Evolutionary algorithms, simulated annealing and tabu search: a comparative study
Published 2020“…In this paper we perform a comparative study among GA, SA, and TS. These algorithms have many similarities, but they also possess distinctive features, mainly in their strategies for searching the solution state space. …”
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119
Convergence analysis of the variable weight mixed-norm LMS-LMFadaptive algorithm
Published 2000“…In this work, the convergence analysis of the variable weight mixed-norm LMS-LMF (least mean squares-least mean fourth) adaptive algorithm is derived. The proposed algorithm minimizes an objective function defined as a weighted sum of the LMS and LMF cost functions where the weighting factor is time varying and adapts itself so as to allow the algorithm to keep track of the variations in the environment. …”
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120
A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995)
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masterThesis