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    Optimization and control of solar-wind islanded hybrid microgrid by using heuristic and deterministic optimization algorithms and fuzzy logic controller by Sk. A., Shezan

    Published 2023
    “…The results of the analysis indicate that HOMER proved to be relatively faster in terms of convergence rate, with the NPC recorded as 387,185$ and the Levelized Cost of Energy (LCOE) recorded as 0.64$/kWh, which are the least among the other techniques evaluated. The hybrid energy system was designed to acquire the optimal quantity and size of power-generating modules, including PV systems, wind turbines, batteries, and diesel generators, while also meeting the load requirements. …”
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  3. 43

    The Impact of Kinetic Façade on the Performance and Energy Efficiency of a Public Building in Dubai - The Case of Dubai Frame by Alawaysheh, Areen

    Published 2019
    “…This research introduces a new concept of shading systems and discusses the main parameters of kinetic design principles and strategies to generate an optimal solution and result in getting a better rating of the building through Sa'fat indicators. …”
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    A review on recent developments in control and optimization of micro grids by Saima Ishaq (21347633)

    Published 2022
    “…As the grid is moving towards optimal design of microgrid structures this manuscript reviews a number of optimization techniques along with their benefits and drawbacks.…”
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    LocationSpark: In-memory Distributed Spatial Query Processing and Optimization by Mingjie Tang (227920)

    Published 2020
    “…In this paper, we present new techniques for spatial query processing and optimization in an in-memory and distributed setup to address scalability. …”
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    Look-ahead scheduling of energy-water nexus integrated with Power2X conversion technologies under multiple uncertainties by Mohammad Amin, Mirzaei

    Published 2023
    “…In addition, a hybrid info-gap/robust optimization technique is applied to cover uncertainties in photovoltaic power and electricity prices as a tri-level optimization framework without generating scenarios and using the probability distribution functions. …”
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    FEM analysis of the effects of cooling techniques on the microstructure of aluminum 7075 friction stir welded joints by Ammouri, A.H.

    Published 2012
    “…Friction stir welding (FSW) is a proven solid-state technique for joining metal alloys. Given the low melting temperatures of light alloys, excessive heat build-up in such joints may have undesirable consequences such as melting and/or undesired grain growth. …”
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    GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review by Md. Sulyman Islam Sifat (22928983)

    Published 2025
    “…<p dir="ltr">In 2014, Goodfellow et al. introduced Generative Adversarial Networks (GANs), an adversarial learning framework designed to generate synthetic data. …”
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    Resources Allocation for Drones Tracking Utilizing Agent-Based Proximity Policy Optimization by De Rochechouart, Maxence

    Published 2023
    “…In particular, the Proximity Policy Optimization (PPO) reinforcement algorithm is used to discover a policy for sensor selection that results in optimum sensor resource allocation. …”
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  17. 57

    Hierarchical Fuzzy Framework for EV Supported Islanded Microgrid Frequency Stabilization by Abdul Latif (8829644)

    Published 2024
    “…Adaptive tuning of the fuzzy rule-based load frequency controller's parameters is facilitated by a novel quasi-oppositional prairie dog technique (QOPDT), developed within this study. A comprehensive comparison is conducted between the efficacy of the QOPDT technique and various other optimization methods. …”
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    GAP - A GENETIC ALGORITHM APPROACH TO OPTIMIZE 2-BIT DECODER PLAS by Benten, M. S.

    Published 2020
    “…Results are compared with those obtained by other approaches such as the Tomczuk and MIller heuristic and the simulated annealing technique (Abd-el-Barr and Choy 1993). For large randomly generated test cases and benchmarks, our results are optimal or very near optimal.…”
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    Optimized ensemble deep learning framework for scalable forecasting of dynamics containing extreme events by Ray, Arnob

    Published 2021
    “…This study develops an optimized ensemble deep learning framework wherein these two machine learning techniques are jointly used to achieve synergistic improvements in model accuracy, stability, scalability, and reproducibility, prompting a new wave of applications in the forecasting of dynamics. …”
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