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12 resultados encontrados.

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Adaptive control optimization in multi energy synergy scenarios robustness verification of fuzzy RBF neural network in microgrid frequency regulation
Artículo
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Adaptive control optimization in multi energy synergy scenarios robustness verification of fuzzy RBF neural network in microgrid frequency regulation
Lexin Yang et al · Springer · 2026 · ISSN 3004-9261
Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...
LCC LCC:Science (General)Idioma eng
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An energy efficient authentication method for IoT-enabled edge computing using hybrid metaheuristic optimization
Artículo
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An energy efficient authentication method for IoT-enabled edge computing using hybrid metaheuristic optimization
Biswa Mohan Sahoo et al · Springer · 2026 · ISSN 2730-7239
Abstract The emergence of Internet-of-Things devices and expanding data processing demands have led to the popularization of edge computing. But energy efficiency challenges and security problems also remain difficult in...
LCC TENDOkNvbXB1dGVyIGVuZ2luZWVyaW5nLiBDb21wdXRlciBoYXJkd2FyZQ~~; LCC:Computer softwareIdioma eng
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Structural optimization stability, electronic, high performance thermoelectric, and magnetic characteristics of MgFe₂O₄ spinel for high-temperature energy conversion and spintronic applications via first principles investigation
Artículo
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Structural optimization stability, electronic, high performance thermoelectric, and magnetic characteristics of MgFe₂O₄ spinel for high-temperature energy conversion and spintronic applications via first principles investigation
Zahid Ullah · Springer · 2026 · ISSN 2948-1600
Abstract This work uses density functional theory (DFT) in the FP-LAPW technique implemented in WIEN2k to offer comprehensive first-principles analysis of the structural, electronic, thermoelectric, and magnetic properti...
LCC LCC:Electrical engineering. Electronics. Nuclear engineering; LCC:MathematicsIdioma eng
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Machine learning examination based on Bayesian regularized algorithm for slip effects on solarized Boger nanofluid with activation energy
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Machine learning examination based on Bayesian regularized algorithm for slip effects on solarized Boger nanofluid with activation energy
Saba Liaqat et al · Springer · 2026 · ISSN 2731-9229
Abstract This model is highly helpful in thermal management and complex energy systems, particularly where precise control over heat and mass transfer is required. Solarized nanofluids can be used to improve heat absorpt...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng
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Path planning for construction site inspection robots based on the hybrid optimization of improved APF and improved ACO
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Path planning for construction site inspection robots based on the hybrid optimization of improved APF and improved ACO
Yu Hu · Springer · 2026 · ISSN 2731-0809
Abstract In response to the dual challenges of complex static obstacles and frequent dynamic disturbances in the construction site environment, this paper proposes a hybrid path planning strategy that integrates global s...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network
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Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network
Munawar Abbas et al · Springer · 2026 · ISSN 2731-9229
Abstract In this work, the intelligent Levenberg–Marquardt optimization approach is applied to evaluate the activation energy influence on thermo-bioconvection flow of a trihybrid nanofluid including oxytactic microbes...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng
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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices
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A hybrid machine learning framework for predicting and optimizing the compressive strength and energy absorption of 3D-printed PLA lattices
Vijaykumar S. Jatti et al · Springer · 2026 · ISSN 2731-6564
Abstract This research employs hybrid machine learning techniques to optimize the mechanical properties of 3D-printed polylactic acid (PLA) lattice structures. By integrating random forest (RF) and XGBoost (XGB) algorith...
LCC TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles
Artículo
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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 eng
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A multi-objective integrated optimal online trajectory planning method for citrus picking robots
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A multi-objective integrated optimal online trajectory planning method for citrus picking robots
Yuemeng Zhang et al · Springer · 2026 · ISSN 3004-9261
Abstract In order to improve the operation efficiency and impact resistance of the robotic arm in unstructured environments such as orchards, this paper proposes an online trajectory planning method for multi-index compr...
LCC LCC:Science (General)Idioma eng
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Artificial intelligence for industrial wastewater treatment advancing technologies addressing challenges and enabling future applications
Artículo
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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 eng
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A Ghost-Efficient Yolov7-Based lightweight model for Multi-Scale power operation risk identification
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A Ghost-Efficient Yolov7-Based lightweight model for Multi-Scale power operation risk identification
Haiyan Wang et al · Springer · 2026 · ISSN 2731-0809
Abstract In the power operation scenarios, there are problems such as large differences in target scales, small targets susceptible to occlusion, and limited computational resources for edge devices. This leads to insuff...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks
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Learning automata and firefly algorithm based RPL for dynamic Internet of Things networks
Thiagarajan Counassegarane et al · Springer · 2026 · ISSN 2948-2992
Abstract The increasing number of Internet of Things (IoT) devices demands a rigid and adaptive routing methodologies to ensure the reliable communication especially for the low-power and lossy networks. The Routing Prot...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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