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81
A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm
Published 2019“…A standalone low-cost but high-precision dual-axis closed-loop sun-tracking system using the sun position algorithm was implemented in an 8-bit microcontroller platform. …”
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83
Artificial neural network algorithms. (c1999)
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masterThesis -
84
A kernelization algorithm for d-Hitting Set
Published 2010“…For 3-Hitting Set, an arbitrary instance is reduced into an equivalent one that contains at most 5k2+k elements. This kernelization is an improvement over previously known methods that guarantee cubic-order kernels. …”
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85
Scalable parallel algorithms for difficult combinatorial problems
Published 2004“…A novel combination of emergent algorithmic methods, powerful computational platforms and supporting infrastructure is described. …”
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conferenceObject -
86
The Role of KM in Enhancing AI Algorithms and Systems
Published 2020“…The current study shows the relation between KM processes and AI systems from a higher perspective, giving different options to apply other KM processes for the same AI algorithm to reduce any implementation challenges and enhance the adoption level. …”
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87
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88
Particle swarm optimization algorithm: review and applications
Published 2024“…Particle swarm optimization (PSO) is a heuristic global optimization technique and an optimization algorithm that is swarm intelligence-based. …”
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89
Real-Time Performance Evaluation of a Genetic Algorithm Based Fuzzy Logic Controller for IPM Motor Drives
Published 2005“…The complete drive incorporating the GFLC is successfully implemented in real-time using a digital signal processor board DS 1102 for a laboratory 1-hp interior permanent magnet motor. …”
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90
Efficient Prioritization and Processor Selection Schemes for HEFT Algorithm: A Makespan Optimizer for Task Scheduling in Cloud Environment
Published 2022“…Among these methods, the Heterogeneous Earliest Finish Time (HEFT) algorithm is recognized to produce optimal outcomes in a shorter time period for scheduling tasks in a heterogeneous environment. …”
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91
A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities
Published 2021“…The results indicate that KNSGA-II is superior to other algorithms. Also, a case study in Iran is implemented and the related results are analyzed.…”
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92
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
Published 2015Get full text
doctoralThesis -
93
Allocating data to distributed-memory multiprocessors by genetic algorithms
Published 2016“…The last two are based on models of natural evolution that are suitable for parallel implementation; they have been implemented on a hypercube and a Connection Machine. …”
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94
Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …”
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95
Spectrum Sensing Algorithms for Cooperative Cognitive Radio Networks
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doctoralThesis -
96
An Evolutionary Algorithm for the Allocation Problem in High-Level Synthesis
Published 2005“…The proposed method was implemented using C++ on a Linux workstation. We tested our method on a set of high-level synthesis benchmarks, all yielding good solutions in a short time. …”
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97
Formal synthesis of VLSI layouts from algorithmic specifications
Published 2020“…Due to advances in VLSI technology, it is possible to implement complex digital systems on a single chip. …”
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98
Fuzzy simulated evolution algorithm for VLSI cell placement
Published 2003“…In this paper, we present a fuzzy simulated evolution (FSE) algorithm to tackle this problem. …”
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A State-of-the-Art Comprehensive Review on Maximum Power Tracking Algorithms for Photovoltaic Systems and New Technology of the Photovoltaic Applications
Published 2025“…These techniques differ in several aspects such as design simplicity, convergence speed, implementation types (analog or digital), decision optimal point accuracy, effectiveness range, hardware costs, and algorithmic modes. …”