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61
Iterative Least Squares Functional Networks Classifier
Published 2007“…This paper proposes unconstrained functional networks as a new classifier to deal with the pattern recognition problems. …”
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62
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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63
A new multimodulus blind equalization algorithm
Published 2004“…A new algorithm is presented for the blind equalization of complex signals. …”
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64
A new reactive power optimization algorithm
Published 2003“…A new implementation for the particle swarm algorithm has been applied. …”
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65
Scatter search for protein structure prediction. (c2008)
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67
A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…The development of the proposed optimal algorithm is based on minimizing a stochastic performance index. …”
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68
A fuzzy basis function network for generator excitation control
Published 1997“…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …”
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69
Stochastic evolution algorithm for technology mapping
Published 1998“…SELF-Map is based on the Stochastic Evolution (SE) algorithm. The state space model of the problem is defined and suitable cost function which allows optimization for area, delay, or area-delay combinations is proposed. …”
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70
A neural networks algorithm for data path synthesis
Published 2003“…The method formulates the allocation problem using the clique partitioning problem, an NP-complete problem, and handles multicycle functional units as well as structural pipelining. The algorithm has a running time complexity of O(1) for a circuit with n operations and c shared resources. …”
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71
Metaheuristic Algorithm for State-Based Software Testing
Published 2018“…This article presents a metaheuristic algorithm for testing software, especially web applications, which can be modeled as a state transition diagram. …”
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72
Radial basis function networks for contingency analysis of bulkpower systems
Published 1999“…The performance of the RBFN is compared with a standard AC load flow algorithm…”
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73
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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74
Single channel speech denoising by DDPG reinforcement learning agent
Published 2025“…<p dir="ltr">Speech denoising (SD) covers the algorithms that suppress the background noise from the contaminated speech and improve its clarity. …”
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75
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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76
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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77
Improved Reptile Search Algorithm by Salp Swarm Algorithm for Medical Image Segmentation
Published 2023“…This study proposes a novel nature-inspired meta-heuristic optimizer based on the Reptile Search Algorithm combed with Salp Swarm Algorithm for image segmentation using gray-scale multi-level thresholding, called RSA-SSA. …”
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78
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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79
A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems
Published 2021“…In this paper, a multiswarm-intelligence-based algorithm (MSIA) is developed to cope with bound constrained functions. …”
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80
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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