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Optimization of Frequency Selective Surfaces with Crossed Dipoles Using the Taguchi's Method
Article
Article
Optimization of Frequency Selective Surfaces with Crossed Dipoles Using the Taguchi's Method
Eliel P. Santos et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · ISSN 2179-1074
Abstract There are several techniques for optimization of Frequency Selective Surfaces (FSS). Generally, in literature, we can find a few articles about the Taguchi's method applied in electromagnetic. This method is bas...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction
Article
Article
A new good point set stepwise shrinkage optimization in machine learning model for fog node performance prediction
Zhang Bo et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Advances in AI have transformed the traditional Internet of Things (IoT) into smarter, more versatile next-generation devices. Enhanced connectivity among sensors, actuators, and appliances boosts data availabil...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
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Adaptive reinforcement learning for lithography optimization: a scalable AI-driven solution for next-generation semiconductor manufacturing
Article
Article
Adaptive reinforcement learning for lithography optimization: a scalable AI-driven solution for next-generation semiconductor manufacturing
Umar Rashid et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Semiconductor lithography, a pivotal process in integrated circuit (IC) fabrication, accounts for approximately 30% of production costs and faces significant challenges as feature sizes shrink to sub-nanometer s...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
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Developing Optimization Tools for Municipal Solid Waste Collection in the Argentine City of Berazategui
Article
Article
Developing Optimization Tools for Municipal Solid Waste Collection in the Argentine City of Berazategui
Bertero, Federico Alberto et al · Institute for Operations Research and the Management Sciences · 2023 · ISSN 2644-0865
We apply mathematical and computational techniques to the development of an approach for optimizing the waste collection system of the Argentine city of Berazategui, 26 km south of Buenos Aires. Taking full account of th...
Idioma English
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Error minimized LO modeling of electric vehicle integrated off-grid microgrids using Taylor-Laurent series expansion and BBO based optimization under stability and steady state constraints
Article
Article
Error minimized LO modeling of electric vehicle integrated off-grid microgrids using Taylor-Laurent series expansion and BBO based optimization under stability and steady state constraints
Richa Chaudhary et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This paper presents an effective approach for lower-order (LO) modeling of an electric vehicle–integrated off-grid microgrid (OMG) system. The seventh-order system (SOS) of the OMG is reduced to a second-order...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
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Glass Recognition and Map Optimization Method for Mobile Robot Based on Boundary Guidance
Article
Article
Glass Recognition and Map Optimization Method for Mobile Robot Based on Boundary Guidance
Yong Tao et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract Current research on autonomous mobile robots focuses primarily on perceptual accuracy and autonomous performance. In commercial and domestic constructions, concrete, wood, and glass are typically used. Laser and...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects
Article
Article
Inverse design of nanophotonic devices enabled by optimization algorithms and deep learning: recent achievements and future prospects
Kim Junhyeong et al · Wiley · 2025 · ISSN 2192-8614
Nanophotonics, which explores significant light–matter interactions at the nanoscale, has facilitated significant advancements across numerous research fields. A key objective in this area is the design of ultra-compac...
LCC TENDOlBoeXNpY3M~Idioma English
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Power system operational optimization using the kakapo optimization algorithm for dynamic economic dispatch
Article
Article
Power system operational optimization using the kakapo optimization algorithm for dynamic economic dispatch
S. A. Alomari et al · National Technical University "Kharkiv Polytechnic Institute" · 2026 · ISSN 2074-272X
Introduction. Metaheuristic algorithms are effective for solving complex power system optimization problems characterized by nonlinearity, multimodality, and high dimensionality. Nature-inspired strategies based on adapt...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma English
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Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach
Article
Article
Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach
Olivieri, Alejandro Cesar et al · Elsevier Science · 2012 · ISSN 0039-9140
Screening of relevant factors using Plackett–Burman designs is usual in analytical chemistry. It relies on the assumption that factor interactions are negligible; however, failure of recognizing such interactions may l...
Idioma English
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Using Invasive Weed Optimization Algorithm with a Padé Approximation to Solve a System of Volterra Integral Equations
Article
Article
Using Invasive Weed Optimization Algorithm with a Padé Approximation to Solve a System of Volterra Integral Equations
Muhammad Almawlaa et al · University of Mosul, College of Education for Pure Science · 2024 · ISSN 1812-125X
Engineering and physics applications are described mathematically as a system of Volterra integral equations (SVIEs). Although many numerical techniques have been considered to solve SVIEs, developing more stable, and ef...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma English
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Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review
Article
Article
Application of Reinforcement Learning Techniques in De Novo Drug Design: A Systematic Literature Review
Masuda Begum Sampa et al · Wiley · 2026 · ISSN 2398-8835
ABSTRACT Background and Aims De novo drug design is the process of generating novel lead compounds that possess desirable pharmacological activities and optimal physicochemical properties for therapeutic development. In ...
LCC LCC:MedicineIdioma English
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Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles
Article
Article
Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles
Saba Liaqat et al · Springer · 2026 · ISSN 2731-9229
Abstract The current study employs Bayesian-regularization optimizer technique with artificial neural networks (BROT-ANNs) to investigate the significance of local thermal non-equilibrium influences on wax + sand-bas...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma English
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Crosstalk-free achromatic full Stokes imaging polarimetry metasurface enabled by polarization-dependent phase optimization
Article
Article
Crosstalk-free achromatic full Stokes imaging polarimetry metasurface enabled by polarization-dependent phase optimization
Yaxin Zhang et al · Editorial Office of Opto-Electronic Journals Group, Institute of Optics and Electronics, CAS, China · 2022 · ISSN 2096-4579
Imaging polarimetry is one of the most widely used analytical technologies for object detection and analysis. To date, most metasurface-based polarimetry techniques are severely limited by narrow operating bandwidths and...
LCC TENDOk9wdGljcy4gTGlnaHQ~Idioma English
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Development and optimization of a miniaturized western blot-based screening platform to identify regulators of post-translational modifications
Article
Article
Development and optimization of a miniaturized western blot-based screening platform to identify regulators of post-translational modifications
Villafañez, Florencia et al · MDPI · 2019 · ISSN 2571-5135
Post-translational modifications (PTMs) are fundamental traits of protein functionality and their study has been addressed using several approaches over the past years. However, screening methods developed to detect regu...
Idioma English
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Effect of optical impression, timing of dentin sealing application and cavity design optimization on microleakage of ceramic onlays: an in vitro study
Article
Article
Effect of optical impression, timing of dentin sealing application and cavity design optimization on microleakage of ceramic onlays: an in vitro study
Hanan Ahmed Nabil Soliman et al · BMC · 2026 · ISSN 1472-6831
Abstract Statement of problem Immediate dentin sealing (IDS) is used to improve bonding of indirect restoration. However, interaction between polyether impressions may affect the future bonding of indirect restoration. S...
LCC TENDOkRlbnRpc3RyeQ~~Idioma English
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Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization
Article
Article
Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization
A. Cardoza et al · Copernicus Publications · 2026 · ISSN 2366-7443
Gradient-based optimization offers significant efficiency advantages for wind turbine blade design, but its application has often been limited by the cost and accuracy of finite-difference derivative calculations, especi...
LCC TENDOlJlbmV3YWJsZSBlbmVyZ3kgc291cmNlcw~~Idioma English
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Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method
Article
Article
Multi-Objective Optimization of Fused Deposition Modeling for Mechanical Properties of Biopolymer Parts Using the Grey-Taguchi Method
Kapil Kumar et al · KeAi Communications Co., Ltd · 2023 · ISSN 2192-8258
Abstract The urgent need to develop customized functional products only possible by 3D printing had realized when faced with the unavailability of medical devices like surgical instruments during the coronavirus-19 disea...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma English
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Seleção de áreas de interesse ecológico através de sensoriamento remoto e de otimização matemática: um estudo de caso no município de Cocalinho, MT Selection of areas of ecological importance through remote sensing and mathematics optimization: a case study in the municipality of Cocalinho, Mato Grosso
Article
Article
Seleção de áreas de interesse ecológico através de sensoriamento remoto e de otimização matemática: um estudo de caso no município de Cocalinho, MT Selection of areas of ecological importance through remote sensing and mathematics optimization: a case study in the municipality of Cocalinho, Mato Grosso
Teresa Cristina da Silveira Anacleto et al · Instituto Nacional de Pesquisas da Amazônia · 2005 · ISSN 0044-5967
A criação de unidades de conservação tem sido a principal estratégia para preservar a biodiversidade. O recente emprego de técnicas como o sensoriamento remoto e a otimização matemática, aliados a dados biológi...
LCC LCC:Science (General)Idioma English
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Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
Article
Article
Simulation and Optimization of Renewable Energy-Powered Desalination: A Bibliometric Analysis and Highlights of Recent Research
Pietrasanta, Ariana Milagros et al · MDPI AG · 2023 · ISSN 9180-9208
Seawater desalination is emerging as one of the preferred systems for dealing with theproblems of freshwater scarcity, which makes it necessary to redouble efforts to obtain an optimaland competent production process. Fo...
Idioma English
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Sixteen multiple-amplifier sensing charge-coupled devices and characterization techniques targeting the next generation of astronomical instruments
Article
Article
Sixteen multiple-amplifier sensing charge-coupled devices and characterization techniques targeting the next generation of astronomical instruments
Lapi, Agustín Javier et al · Society of Photo-Optical Instrumentation Engineers · 2024 · ISSN 2329-4124
We present a candidate sensor for future spectroscopic applications, such as a Stage-5 Spectroscopic Survey Experiment or the Habitable Worlds Observatory. This type of charge-coupled device (CCD) sensor features multipl...
Idioma English
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Statistical Optimization of Seed Coating in Arid-Zone Grass Species Used as Cover Crops in Woody Agroecosystems
Article
Article
Statistical Optimization of Seed Coating in Arid-Zone Grass Species Used as Cover Crops in Woody Agroecosystems
Carola Meglioli et al · Facultad de Ciencias Agrarias. Universidad Nacional de Cuyo · 2026 · ISSN 0370-4661
Inter-row vegetative cover improves soil physicochemical properties and biodiversity but should not compete with main crop for water. Native grass species such as Leptochloa crinita (Lag.) P. M. Peterson & N. W. Snow, Pa...
LCC LCC:Agriculture; TENDOkZvb2QgcHJvY2Vzc2luZyBhbmQgbWFudWZhY3R1cmU~Idioma English
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Advancing statistical learning and artificial intelligence in nanophotonics inverse design
Article
Article
Advancing statistical learning and artificial intelligence in nanophotonics inverse design
Wang Qizhou et al · Wiley · 2021 · ISSN 2192-8614
Nanophotonics inverse design is a rapidly expanding research field whose goal is to focus users on defining complex, high-level optical functionalities while leveraging machines to search for the required material and ge...
LCC TENDOlBoeXNpY3M~Idioma English
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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks
Article
Article
An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks
B. Padmini Devi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma English
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Artificial intelligence for industrial wastewater treatment advancing technologies addressing challenges and enabling future applications
Article
Article
Artificial intelligence for industrial wastewater treatment advancing technologies addressing challenges and enabling future applications
José Roberto de Matos Filho et al · Springer · 2026 · ISSN 2662-9984
Abstract The rapid adoption of AI is transforming industrial wastewater treatment by enabling real-time monitoring, predictive control, and operational optimization. Publications on the subject accelerated sharply betwee...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~Idioma English
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