بدائل البحث:
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), colony algorithm (توسيع البحث), scheduling algorithm (توسيع البحث)
rd algorithm » _ algorithms (توسيع البحث)
elements rd » elements _ (توسيع البحث)
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Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…These hybrid MPPT controllers’ comparative performance analysis has been done in terms of tracking speed of MPP, oscillations across MPP, design complexity of controller, ability to handle fast changes of temperature values, and accuracy of MPP tracking. …"
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احصل على النص الكامل
احصل على النص الكامل
article -
42
Design and performance analysis of hybrid MPPT controllers for fuel cell fed DC-DC converter systems
منشور في 2023"…These hybrid MPPT controllers’ comparative performance analysis has been done in terms of tracking speed of MPP, oscillations across MPP, design complexity of controller, ability to handle fast changes of temperature values, and accuracy of MPP tracking. …"
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43
Variable Selection in Data Analysis: A Synthetic Data Toolkit
منشور في 2024"…This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). To evaluate FSAs effectively, controlled environments are required, and the use of synthetic datasets offers significant advantages. …"
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article -
44
A novel on design and implementation of hybrid MPPT controllers for solar PV systems under various partial shading conditions
منشور في 2024"…The studied hybrid optimization MPPT methods are equated in terms of oscillations across MPP, output power extraction, settling time of the MPP, dependency on the PV modeling, operating duty value of the converter, error finding accuracy of MPPT, algorithm complexity, tracking speed, periodic tuning required, and the number of sensing parameters utilized. …"
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45
Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks
منشور في 2025"…However, maintaining high operational stability is increasingly challenging due to evolving grid complexities and potential adversarial threats. This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …"
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46
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…Additionally, we quantify the performance of the DDPG-based algorithm to prevail amid DRL-based algorithms at the expense of higher implementation complexity.…"
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Nonlinear Friction Identification of A Linear Voice Coil DC Motor
منشور في 2015احصل على النص الكامل
doctoralThesis -
51
Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks
منشور في 2024"…Nowadays, deep learning algorithms are essential for ensuring the reliable, safe, and efficient operation of these complex energy systems. …"
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52
The Generalization of Bidirectional Dual Active Bridge DC/DC Converter Modulation Schemes: State-of-the-Art Analysis under Triple Phase Shift Control
منشور في 2023"…<p dir="ltr">The main objective of this paper is to provide a thorough analysis of currently used modulation control schemes for single-phase bidirectional dual active bridge DC/DC converters. …"
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53
Face Recognition in Uncontrolled Indoor Environment
منشور في 2013احصل على النص الكامل
doctoralThesis -
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55
Software defect prediction. (c2019)
منشور في 2019احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
masterThesis -
56
Iterative Methods for the Solution of a Steady State Biofilter Model
منشور في 2017احصل على النص الكامل
doctoralThesis -
57
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Reinforcement Learning-Based School Energy Management System
منشور في 2020"…Conventional Building Energy Management methods suffer from a high dimensional and complex control environment. In recent years, the Deep Reinforcement Learning algorithm, applying neural networks for function approximation, shows promising results in handling such complex problems. …"