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103 articles for “Energy Optimization”
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Research ArticleOpen accessIn the abstractEffect of the Cresacin Feed Additive on the Digestibility of Nutrients, Productivity and Egg Quality in Egg Laying QuailsDjunaydi Gayirbegov, Gayaz EngurazovThe purpose of the article was to study the effect of the Cresacin feed additive on the digestibility and use of nutrients in the diet of egg laying quails, as well as their egg productivity and quality. The experiment was carried out on 600 heads of one-day-old quails of the Estonian breed, which were divided into four similar groups of … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 1 · 6 Mar 2023 · 5,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Handling of Medical Data Classification in Cloud-Edge Network using Optimization AlgorithmS. S. Saranya, N. Sabiyath FatimaNowadays, a cloud-edge computing framework with IoT offers different medicinal facilities by classifying a massive amount of patients’ health data through a Deep Neural Network. But, how to optimize task scheduling while carrying multiple tasks from multiple edge devices in real-time was still challenging. This article introduces a cooperative cloud-edge computing structure to effectively perform the fuzzy DNN classification into … …Journal of Computer Science, Vol. 17, Issue 11 · 30 Nov 2021 · 6,486 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Strategic Study on the Environmental Impacts of Wind Turbine Blade Materials, their Improvements, Economics and End-Life-OptionsOjshwi Prakash, Godwin Glivin, N. Kalaiselvan, V. MariappanWind energy is a great alternative to solar energy (During monsoon) along with conventional non-renewable energy sources and has a potential market growing exponentially. Modern 3 Blade HAWTs are most dominant in the market and have high efficiency. Blades are 15 to 20% of the cost of the wind turbine unit and also exposed to the environment. Therefore it is … …Energy Research Journal, Vol. 11, Issue 1 · 13 Nov 2020 · 8,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-LebdehIn 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 (Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping an Integrated Method for Optimal Design of Chilled Water Plants in HVAC SystemsNabil Nassif, Nihal Al Raees, Fouad Al Rifaie, Taher Abu-LebdehBuildings account for a large portion of energy use in the US. Many those buildings have equipped with central plants to produce chilled water supplied to central air handling units. The chilled water plant design can have a significant impact on building energy uses and costs. In this paper, an integrated method for optimal design of chilled water plants is … …Energy Research Journal, Vol. 9, Issue 1 · 6 Feb 2019 · 6,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Optimization of Physics Simulations Through Genetic AlgorithmsOksana Shadura, Federico Carminati, Anatoliy PetrenkoThe GeantV R&D approach is revisiting the standard particle transport simulation approach to be able to benefit from “Single Instruction, Multiple Data” (SIMD) computational architectures or extremely parallel systems like coprocessors and GPUs. The goal of this work is to develop a mechanism for optimizing the programs used for High-Energy Physics (HEP) particle transport simulations using a “black-box” optimization approach. … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 8,096 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 832 accessesView PDFCite
Research ArticleOpen accessIn the abstractChilled Water VAV System Optimization and Modeling Using Artificial Neural NetworksRand Talib, Nabil Nassif, Maya Arida, Taher Abu-Lebdehin 2016, It was estimated that about 40% of total U.S. energy consumption was consumed by the residential and commercial sectors. According to EIA, in 2009, the energy consumption in U.S. homes was 48% which was down from 58% in 1993 Residential Energy Consumption Survey (RECS). The development of building energy savings methods and models becomes apparently more necessary for … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 23 Oct 2018 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling, Simulation and Optimization of Steel Sandwich Panels under Blast LoadingSayed M. Soleimani, Nader H. Ghareeb, Nourhan H. ShakerHoneycomb sandwich panels are commonly preferred in structural engineering as a design element meant to protect against blast loading, and this owes primarily to the fact that they are light in weight (due to the voids present) whilst carrying high energy absorption capacities. A widespread surge in acts of terrorism, and the resultant threat posed to structures, presents structural engineers … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 24 Aug 2018 · 7,863 accessesView PDFCite