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61 resultados encontrados.

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Inter-row delay time optimization and vibration control in blasting caving of insulating pillar based on the HJC constitutive model
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Inter-row delay time optimization and vibration control in blasting caving of insulating pillar based on the HJC constitutive model
FEI Honglu et al · Emergency Management Press · 2026 · ISSN 2096-2193
When using the blasting caving method to treat goaf, the collapsing ore and rock can cause shock disturbances to the roof of the lower stope, which may lead to stability risks. This study takes the goaf treatment project...
LCC LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TENDOk1pbmluZyBlbmdpbmVlcmluZy4gTWV0YIdioma eng
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Performance and Emission Optimization of a CI Engine Fueled with Juliflora Biodiesel Using Response Surface Methodology
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Performance and Emission Optimization of a CI Engine Fueled with Juliflora Biodiesel Using Response Surface Methodology
Gangolu N. R. et al · Academy of Sciences of Moldova · 2026 · ISSN 1857-0070
The objectives of the current study are to assess the performance and emission characteristics of a diesel engine running on Juliflora biodiesel-based blends at varying levels of brake power. These ob-jectives were achie...
LCC LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlByb2R1Y3Rpb24gb2YgZWxlY3RyaWMgZW5lcmd5IG9yIHBvd2VyLiIdioma eng
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Phosphorus recovery from high-COD and strongly acidic wastewater by vivianite crystallization: feasibility and optimization of operating conditions
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Phosphorus recovery from high-COD and strongly acidic wastewater by vivianite crystallization: feasibility and optimization of operating conditions
Kai Cui et al · Frontiers Media S.A · 2026 · ISSN 2296-2646
Acidified oil wastewater contains high concentrations of phosphorus and organic pollutants, which not only pose environmental risks but also contain recoverable phosphorus resources. However, its complex matrix (high COD...
LCC TENDOkNoZW1pc3RyeQ~~Idioma eng
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Automated multiphysics MEMS co-optimization platform: Integrated fabrication constraints and accelerated design for high-linearity sensors
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Automated multiphysics MEMS co-optimization platform: Integrated fabrication constraints and accelerated design for high-linearity sensors
Peizhi Yu et al · AIP Publishing LLC · 2026 · ISSN 1672-6030
This paper proposes an innovative automated multiphysics Microelectromechanical systems (MEMS) co-optimization platform integrating the embedded reduced-order modeling offered by Coventor MEMS+ with MATLAB’s numerical ...
LCC TENDOlRlY2hub2xvZ3k~; LCC:Engineering (General). Civil engineering (General)Idioma eng
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Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles
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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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Numerical optimization of natural hybrid fiber reinforced composite overwrapped pressure vessel
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Numerical optimization of natural hybrid fiber reinforced composite overwrapped pressure vessel
Reta Warkina et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Composite overwrapped pressure vessels (COPVs) represent a paradigm shift in lightweight pressure containment, achieving substantial mass savings over traditional metallic vessels. However, their widespread depl...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Optimized parameter estimation of solar PV models using an improved red-tailed hawk algorithm
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Optimized parameter estimation of solar PV models using an improved red-tailed hawk algorithm
Pankaj Sharma et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This work introduces a metaheuristic (MH) optimization method, which is inspired by the red-tailed hawks’ predatory behavior is Improved Red-tailed Hawk (IRTHA) Algorithm. The algorithm uses a dynamic adjustme...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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PV Power Optimization with Dual Winding Step-Up Converter and Woodpecker Mating Algorithm Based Cascaded ANN MPPT
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PV Power Optimization with Dual Winding Step-Up Converter and Woodpecker Mating Algorithm Based Cascaded ANN MPPT
Amar K.T et al · Academy of Sciences of Moldova · 2026 · ISSN 1857-0070
The main objectives of this study are to enhance the power extraction of photovoltaic (PV) systems under rapidly changing ecological circumstances using Maximum Power Point Tracking (MPPT) and to improve the power qualit...
LCC LCC:Electrical engineering. Electronics. Nuclear engineering; TENDOlByb2R1Y3Rpb24gb2YgZWxlY3RyaWMgZW5lcmd5IG9yIHBvd2VyLiIdioma eng
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Power Quality Enhancement in Grid-Connected Photovoltaic Systems Using Hybrid Harbor Seal Whiskers Optimization and Interpretable Generalized Additive Neural Networks
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Power Quality Enhancement in Grid-Connected Photovoltaic Systems Using Hybrid Harbor Seal Whiskers Optimization and Interpretable Generalized Additive Neural Networks
M. Hariprabhu et al · Wiley · 2026 · ISSN 2050-7038
The integration of solar energy into modern power grids supports sustainability and energy efficiency but also introduces power quality (PQ) challenges such as harmonic distortion, voltage sag, swell, and fluctuations. I...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Prediction of mean blast fragment size based on a tri-model hybrid optimization model RF-WOA-XGBoost
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Prediction of mean blast fragment size based on a tri-model hybrid optimization model RF-WOA-XGBoost
XU Ziying et al · Emergency Management Press · 2026 · ISSN 2096-2193
Using historical data from blasting operations of open-pit mines to predict the average rock fragment size is crucial for optimizing blasting parameters. However, existing methods face 3 major challenges: interference fr...
LCC LCC:Engineering geology. Rock mechanics. Soil mechanics. Underground construction; TENDOk1pbmluZyBlbmdpbmVlcmluZy4gTWV0YIdioma eng
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Numerical investigation and optimization of unsteady micropolar nanofluid flow over a stretching surface using response surface methodology
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Numerical investigation and optimization of unsteady micropolar nanofluid flow over a stretching surface using response surface methodology
Shalini Chinnam A.A.E. et al · De Gruyter · 2026 · ISSN 2191-9097
This study analyzes the micropolar nano liquid flow over an obliquely stretched, porous surface with a focus on energy transport. The model incorporates magnetic effects, porosity, and slip conditions in velocity and con...
LCC TENDOlRlY2hub2xvZ3k~; TENDOkNoZW1pY2FsIHRlY2hub2xvZ3k~; TENDOlBoeXNpY2FsIGFuZCB0aGVvcmV0aWNhbCBjaGVtaXN0cnk~Idioma 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
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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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A robust hybrid data driven approach to model biochar yield in terms of biomass pyrolysis
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A robust hybrid data driven approach to model biochar yield in terms of biomass pyrolysis
Kusum Yadav et al · SpringerOpen · 2026 · ISSN 2197-4365
Abstract Biochar yield prediction plays a critical role in optimizing pyrolysis processes and advancing sustainable biomass utilization. This study introduces a hybrid machine learning framework that integrates Decision ...
LCC TENDOlRlY2hub2xvZ3k~; TENDOkNoZW1pY2FsIHRlY2hub2xvZ3k~; TENDOkJpb3RlY2hub2xvZ3k~Idioma eng
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A sustainable AQbD-based UHPLC–MS/MS method for the determination of hallucinogenic phenethylamines in urine
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A sustainable AQbD-based UHPLC–MS/MS method for the determination of hallucinogenic phenethylamines in urine
Kostić Emilija et al · De Gruyter · 2026 · ISSN 2391-5420
A systematic Analytical Quality by Design (AQbD) approach was applied to the development and validation of a UHPLC–MS/MS method for the determination of hallucinogenic phenethylamine-derived novel psychoactive substanc...
LCC TENDOkNoZW1pc3RyeQ~~Idioma eng
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AI-driven sustainable strength prediction and experimental evaluation of high-performance fiber-reinforced concrete incorporating metakaolin
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AI-driven sustainable strength prediction and experimental evaluation of high-performance fiber-reinforced concrete incorporating metakaolin
Ninu Praseetha N.S et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This work developed an enhanced model to examine the High-Strength Fiber-Reinforced Concrete (HSFRC) that is replaced with 10% metakaolin as a sustainable cement replacement and four types of fibers at different...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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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
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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
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 eng
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High-efficiency predictive torque control of induction motors in PV water pumping using GTO-optimized PI controller
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High-efficiency predictive torque control of induction motors in PV water pumping using GTO-optimized PI controller
Ridha Kechida et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This paper proposes an integrated and optimally tuned photovoltaic water pumping system (PVWPS) with high performance and operational stability under variable climatic conditions. The pumping process starts with...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Metaheuristic-based broad learning systems for compressive strength prediction of concrete structures
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Metaheuristic-based broad learning systems for compressive strength prediction of concrete structures
Sarat Chandra Nayak et al · Springer Nature · 2026 · ISSN 2097-0943
Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...
LCC LCC:Engineering (General). Civil engineering (General); TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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Skin tumor identification by means of convolutional neural network and improved gray wolf optimizer
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Skin tumor identification by means of convolutional neural network and improved gray wolf optimizer
Mei Ou et al · Frontiers Media S.A · 2026 · ISSN 2234-943X
IntroductionEarly and accurate diagnosis of skin cancer has a huge impact on the survival rate of patients and deep learning-based CNN and dermatologists' intelligence support can fasten the diagnosis not only within the...
LCC TENDOk5lb3BsYXNtcy4gVHVtb3JzLiBPbmNvbG9neS4gSW5jbHVkaW5nIGNhbmNlciBhbmQgY2FyY2lub2dlbnM~Idioma eng
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Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation
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Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation
Omar Zeb et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract The growing deployment of grid-connected voltage source inverters (GC-VSIs) in the smart grids poses some significant issues that include harmonic distortion, grid impedance fluctuations, nonlinear loading, and ...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Stability enhancement via speed adaptation and efficiency improvement for induction machine
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Stability enhancement via speed adaptation and efficiency improvement for induction machine
Lelisa Wogi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract The primary characteristics of an electric drive include the ability to utilize the maximum torque throughout the speed range, minimal reliance on parameters, and, if feasible, the highest efficiency. This paper...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Sustainable assessment of process–reinforcement interaction effects on mechanical strength of FSW Al 7475 hybrid composites
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Sustainable assessment of process–reinforcement interaction effects on mechanical strength of FSW Al 7475 hybrid composites
Indira Benjeer Budavarthi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract This paper focused to enhance the mechanical and microstructural properties of Al 7475 alloy by incorporating Si₃N₄/TiO2 hybrid ceramic particles in developing composites through Friction Stir Welding (FSW...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Electric power data element trading price prediction model based on improved grid VMD Resnet-BiLSTM algorithm
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Electric power data element trading price prediction model based on improved grid VMD Resnet-BiLSTM algorithm
Yingkai Zheng et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract In response to the problems of large fluctuations in electricity prices and difficulty in long-term forecasting caused by the large-scale integration of new energy in the electricity market, this paper construct...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
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Hybrid machine learning approach for predicting compressive strength of sustainable concrete incorporating palm oil fuel ash
Ramin Kazemi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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