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Follow up and comparative assessment of IgG, IgA, and neutralizing antibody responses to SARS-CoV-2 between mRNA-vaccinated naïve and unvaccinated naturally infected individuals ov...
Published 2023“…At the 7th month, there was a significant decline in antibody responses among VN individuals, but not NI individuals, with a minimum decrease of 3.7-fold (p < 0.001). …”
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Improving the performance of a commercial absorption cooling system by using ejector: A theoretical study
Published 2023“…An improvement of 70.6% in the COP was obtained at the design condition. A parametric analysis was implemented to study the significance of the key parameters in the RACS performance. …”
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Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System
Published 2022“…This study presents an optimized EMS for a wind farm, coupled with a pumped hydro energy system (PHES). …”
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Sustainable Detoxification of Methylene Blue in Wastewater via Tea Residue Adsorption: Optimization and Kinetics
Published 2025“…The impact of various parameters on MB removal was assessed, including solution pH, adsorbent dosage, pollutant concentration, and contact time. Optimal conditions were identified as pH 10, a dosage of 4 g/L, a concentration of 100 mg/L, and a contact time of 2 h, achieving nearly 99% removal efficiency at 25 °C. …”
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Thermo-economic Optimization of Hybrid Combined Power Cycles Using Heliostat Field Collector
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Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model
Published 2025“…Through extensive experimentation, the optimized ConvLSTM model is shown to demonstrate superior performance in detecting attacks; it achieves a high accuracy of 91.3% compared with other models in classifying these attacks. …”
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Taguchi Approach for Optimizing Carbonization Parameters of Tea Waste To Enhance Adsorptive Biochar Properties
Published 2026“…These results confirm that Taguchi-based optimization significantly enhances biochar properties such as surface area, thermal stability, and morphology. …”
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Decision Support Model for Optimal Design of Wind Technologies Based Techno–Economic Approach
Published 2021“…A developed decision support model based a comprehensive wind turbine modeling and a constrained techno-economic optimization framework is presented. …”
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Experimental investigations on the performance of a thermo-mechanical refrigeration system utilizing ultra-low temperature waste heat sources
Published 2023“…Thus, this study fills a significant gap in the literature by (i) experimentally evaluating the performance of a new full-scale thermo-mechanical refrigeration (TMR) system at ultra-low temperatures ranging from 50 °C to 85 °C, (ii) characterizing its operation with different commercial refrigerants, and (iii) identifying optimal operating conditions and working fluids for the investigated TMR system. …”
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Enhanced Microgrid Reliability Through Optimal Battery Energy Storage System Type and Sizing
Published 2023“…This paper aims to address this issue by finding the optimal size and type of BESS for improving the reliability of a MG. …”
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Enhancing Building Energy Management: Adaptive Edge Computing for Optimized Efficiency and Inhabitant Comfort
Published 2023“…In response to these challenges, this article introduces a cutting-edge edge computing architecture grounded in virtual organizations, federated learning, and deep reinforcement learning algorithms, tailored to optimize energy consumption within buildings/homes and facilitate demand response. …”
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Land suitability assessment and self-sufficiency evaluation for fodder crop production in a hyper arid environment coupling GIS-based multi-criteria decision making and optimizatio...
Published 2025“…</p><h2>Other Information</h2><p dir="ltr">Published in: Ecological Modelling<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.ecolmodel.2025.111021" target="_blank">https://dx.doi.org/10.1016/j.ecolmodel.2025.111021</a></p>…”
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Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids
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Cost Effective Transition Toward Electric Bus Fleets in Urban Transport
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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models
Published 2025“…<p dir="ltr">Determining the ideal architecture for deep learning models, such as the number of layers and neurons, is a difficult and resource-intensive process that frequently relies on human tuning or computationally costly optimization approaches. …”
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Exergo-technological explicit methodology for gas-turbine system optimization of series hybrid electric vehicles
Published 2017“…Energy consumption simulations are performed over the Worldwide Harmonized Light Vehicles Test Procedure driving cycle using dynamic programming as the global optimal energy management strategy. A sensitivity analysis is also carried out in order to evaluate the impact of the battery size on the fuel consumption, for self-sustaining and plug-in series hybrid electric vehicle configurations. …”
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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations
Published 2025“…The novelty of this work lies in combining micro-moment prediction with a multi-stage FL architecture tailored for smart home energy optimization. …”
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Optimizing microgrid efficiency: Coordinating commercial and residential demand patterns with shared battery energy storage
Published 2024“…Unlike previous studies that primarily focused on cost and reliability, this research fills a significant gap in the literature by investigating the optimization of load demands patterns. …”