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361
Modelling of Green function in a rectangular room based upon the geometrical-filtration model
Published 2014-03-01“…Estimation of room impulse response giving posibility to evaluate the subjective and objective room acoustic properties and hence to run the room simulation tests (the sound sources configuration, the room planning) in order to reach optimal solutions, which meet the given criterion. …”
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362
Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP...
Published 2025-09-01“…Ground source heat pump (GSHP) has recently gained a great attention because of its efficient utilization of geothermal energy for building cooling and heating. …”
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363
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364
A physically-inspired method for robust configuration of control parameters of PLL-based VSC to enhance transient stability
Published 2025-09-01“…This paper proposes a physically-inspired robust configuration method to tune the power and current control loop parameters of a grid-connected voltage source converter (VSC) that utilizes the phase-locked loop (PLL), with the goal of improving the transient stability of the closed-loop system. …”
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365
Segmentation Performance and Mapping of Dunes in Multi-Source Remote Sensing Images Using Deep Learning
Published 2025-03-01“…This study presents a dune segmentation approach that integrates multi-source data and model optimization, offering a framework for the dynamic monitoring and fine-scale mapping of the desert’s geomorphology.…”
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366
Effects of Control for Electronic Expansion Valve on Performance of Air-source Heat-pump Water Heater
Published 2017-01-01“…The maximum optimization ratio on system COP for the method of controlling the electronic expansion valve via the superheated temperature in the compressor suction (optimization #2) is lower than that for optimization #1, at 4.2%. …”
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367
Stress Tolerance and Organic Acid Productivity of Fungal Strains Isolated from Local Agricultural Sources
Published 2025-04-01“…This study was aimed at isolating stress-tolerant fungal strains from local agricultural sources and evaluating their organic acid productivity. …”
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368
Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering
Published 2025-06-01Get full text
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369
Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging
Published 2025-01-01“…In addition, alternating optimization was used as a reference method. As an example application, we focused on the problem of reconstructing brain activity from EEG recordings (a.k.a. …”
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370
Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning
Published 2025-02-01Get full text
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371
BirdRecon: A free open source tool for image based bird species recognition
Published 2025-12-01“…This study introduces BirdRecon, an open-source bird species recognition system developed to enhance birdwatching, ornithological research, and biodiversity conservation. …”
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372
On Approximation of Entropy Solutions for One System of Nonlinear Hyperbolic Conservation Laws with Impulse Source Terms
Published 2010-01-01“…Using the vanishing viscosity method and the so-called principle of fictitious controls, we show that entropy solutions to the original Cauchy problem can be approximated by optimal solutions of special optimization problems.…”
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373
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Pathological Voice Source Analysis System Using a Flow Waveform-Matched Biomechanical Model
Published 2018-01-01“…A fitting procedure combining genetic particle swarm optimization and a quasi-Newton method was developed to optimize the biomechanical model parameters and match the targeted voice source. …”
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375
Numerical Aeroacoustic Assessment of a Metacontinuum Device Impinged by a Laser-Generated Sound Source
Published 2024-01-01“…In the present paper, the response of a spacetime-corrected metacontinuum is coupled with a high-fidelity aeroacoustic model of the hosting fluid to allow for the modelling of actual experimental realizations of a laser-generated sound source. The availability of a reliable model to couple the convective metacontinuum design with the heat-release source would make possible the systematic cross-validation of the numerical simulations with the experimental results obtained in the most advanced testing facilities, paving the way to an effective inclusion of metacontinuum-based devices in aeronautics and, finally, in a simulation-based, multidisciplinary design optimization framework. …”
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376
Transforming waste into value: Advancements in protein recovery and functional product development from wastewater sources
Published 2025-01-01“…Despite advancements, challenges such as high costs, energy inefficiency, and method integration persist. Future research should focus on innovative technologies and process optimization based on artificial intelligence (AI) and machine learning (ML) and other subfields should encompass to improve recovery yields and foster a sustainable circular economy.…”
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377
Risk Assessment of Dynamic Diffusion of Urban Non-Point Source Pollution Under Extreme Rainfall
Published 2025-05-01“…This study can support the targeted governance of pollution sources and land planning optimization in urban storm and flood management, and help reduce environmental health risks in extreme climates.…”
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378
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Real-time prediction model of public safety events driven by multi-source heterogeneous data
Published 2025-04-01“…To address the challenge of efficiently integrating multi-source heterogeneous data to improve the accuracy of public safety event prediction, this study proposes and validates a novel public safety event prediction model, GATPNet, based on multi-source heterogeneous data. …”
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380
Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms
Published 2025-01-01“…To address this, we employed the Levenberg–Marquardt Algorithm (LMA) as a deterministic optimization method to estimate the magnetic source’s position and parameters, as well as machine earning (ML) algorithms, which consist of a Fully Connected Neural Network (FCNN). …”
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