بدائل البحث:
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
_ tracking » _ teaching (توسيع البحث)
data algorithm » jaya algorithm (توسيع البحث), deer algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
_ tracking » _ teaching (توسيع البحث)
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1
Efficient Approximate Conformance Checking Using Trie Data Structures
منشور في 2021"…By encoding the proxy behavior using a trie data structure, we obtain a logarithmically reduced search space for alignment computation compared to a set-based representation. …"
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2
Tracking analysis of normalized adaptive algorithms
منشور في 2003"…Tracking analysis of normalized adaptive algorithms is carried out in the presence of two sources of nonstationarities: carrier frequency offset between transmitter and receiver; random variations in the environment. …"
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Tracking analysis of the NLMS algorithm in the presence of both random and cyclic nonstationarities
منشور في 2003"…Tracking analysis of the normalized least mean square (NLMS) algorithm is carried out in the presence of two sources of nonstationarities: 1) carrier frequency offset between transmitter and receiver; 2) random variations in the environment. …"
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Multi-Target Tracking Resources Allocation Using Multi-Agent Modeling and Auction Algorithm
منشور في 2023الموضوعات: "…Target tracking…"
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7
C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments
منشور في 2023"…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. The state-of-the-art output from streaming confor mance checking is a prefix-alignment. …"
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8
TRACKING ANALYSIS OF C -NLMS AND LEAKY C-NLMS ALGORITHMS FOR COLORED GAUSSIAN INPUTS
منشور في 2020احصل على النص الكامل
masterThesis -
9
A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm
منشور في 2019"…In summary, even for a small-scale solar tracking system, the algorithm-based closed-loop dual-axis tracking system can increase overall system efficiency. …"
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Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm
منشور في 2024"…The model aims to compare the performance of classical perturb and observe (P&O) algorithm, particle swarm optimization (PSO) algorithm, flower pollination algorithm (FPA), and SMC-based tracking techniques. …"
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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
منشور في 2025"…<p dir="ltr">Various maximum power point tracking (MPPT) techniques have been proposed to optimize the efficiency of solar photovoltaic (PV) systems. …"
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13
Optimum Track to Track Fusion Using CMA-ES and LSTM Techniques
منشور في 2024"…The first method uses an offline technique based on a global optimizer called the CMA-ES algorithm and the second one uses LSTM in its different forms to learn the online adjustment of the fusion weights between the two tracks. …"
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14
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15
Learn while Tracking
منشور في 2007"…A simple non-iterative digital controller is proposed for the uniform output tracking problem of multi-input multi-output discrete-time varying linear systems with arbitrary relative degree. …"
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A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions
منشور في 2022"…<p>This article presents a comparative analysis of the latest swarm-based optimization approaches under partial shading conditions (PSCs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The swarm-based MPPT algorithms are stochastic meta-heuristic approaches that have become very popular recently in various applications owing to the drawbacks of conventional MPPT algorithms under different operating conditions. …"
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Radar Pulse Interleaving For Multi-Target Tracking
منشور في 2020"…In a multifunction radar, the maximum number of targets that can be managed or tracked is an important performance measure. Interleaving algorithms developed to operate radars exploit the dead-times between the transmitted and the received pulses to allocate new tracking tasks that might involve transmitting or receiving pulses, thus increasing the capacity of the system. …"
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20
A Quasi-Oppositional Method for Output Tracking Control by Swarm-Based MPID Controller on AC/HVDC Interconnected Systems With Virtual Inertia Emulation
منشور في 2021"…The proposed analysis is established considering the most highly cited, well-known tested and newly expanded swarm-based optimization algorithms (SBOAs), such as Grasshopper Optimization Algorithm (GOA), Grey Wolf Optimization (GWO), Artificial Fish Swarm Algorithm (AFSA), Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO). …"