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FONTES – Fostering iNnovative Training in the Use of European Legal Sources
Published 2025-02-01Get full text
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Characteristics and Mechanism Analysis of Aerodynamic Noise Sources for High-Speed Train in Tunnel
Published 2018-01-01“…We aim to study the characteristics and mechanism of the aerodynamic noise sources for a high-speed train in a tunnel at the speeds of 50 m/s, 70 m/s, 83 m/s, and 97 m/s by means of the numerical wind tunnel model and the nonreflective boundary condition. …”
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Unlocking potential of open source model training in decentralized federated learning environment
Published 2025-06-01“…Nonetheless, the guarantees provided are not absolute, and even open-weight AI models do not qualify as truly open source. This paper suggests using blockchain technology, smart contracts, and publicly verifiable secret sharing in DFL environments to bolster trust, cooperation, and transparency in model training processes. …”
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RETROSPECTIVE ANALYSIS OF HYPOXIC TRAINING IN ROAD CYCLING IN BULGARIA PERIOD (1945-1965)
Published 2021-11-01“…The study was conducted using the methods: study of information sources, document analysis, theoretical analysis and synthesis. …”
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Train Traffic as a Powerful Noise Source for Monitoring Active Faults With Seismic Interferometry
Published 2019-08-01“…We show that seismic noise generated by vehicle traffic, and especially heavy freight trains, can be turned into a powerful repetitive seismic source to continuously probe the Earth's crust at a few kilometers depth. …”
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Source Contribution Analysis for Exterior Noise of a High-Speed Train: Experiments and Simulations
Published 2018-01-01“…This paper presents a detailed investigation into the contributions of different sound sources to the exterior noise of a high-speed train both experimentally and by simulations. …”
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Research on speed measurement technology for maglev trains based on multi-source information fusion
Published 2024-11-01“…Through multi-scenario weighted fusion modeling of train operation, a technical solution for train speed measurement was devised based on multi-source information fusion, and a main control unit for fusion speed measurement was developed. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources
Published 2024-01-01“…Building on previous work, this paper reports the results of the ZTF Source Classification Project ( SCoPe ), which trains neural network and XGBoost (XGB) machine-learning (ML) algorithms to perform dichotomous classification of variable ZTF sources using a manually constructed training set containing 170,632 light curves. …”
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Hybrid Signaling-Droop DC-Link Voltage Control for Trains With Multiple Onboard Power Sources
Published 2025-01-01“…Hydrogen fuel cells along with battery systems are being considered by several train manufacturers. Control of the dc-link connecting all energy sources and loads can be challenging due to the need to guarantee reliable operation in all possible scenarios. …”
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Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks
Published 2025-04-01Get full text
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Synthetic data trained open-source language models are feasible alternatives to proprietary models for radiology reporting
Published 2025-07-01“…A training set of 3000 synthetic thyroid nodule dictations was generated to train six open-source models (Starcoderbase-1B, Starcoderbase-3B, Mistral-7B, Llama-3-8B, Llama-2-13B, and Yi-34B). …”
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Adaptive integrated weight unsupervised multi-source domain adaptation without source data
Published 2025-04-01“…The key idea is to leverage the pre-trained models from the source domain and progressively train the target model in a self-learning manner. …”
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Source-Free Domain Adaptation Framework for Rotary Machine Fault Diagnosis
Published 2025-07-01“…Intelligent fault diagnosis for rotary machinery often suffers performance degradation under domain shifts between training and deployment environments. To address this, we propose a robust fault diagnosis framework incorporating three key components: (1) an order-frequency-based preprocessing method to normalize rotational variations, (2) a U-Net variational autoencoder (U-NetVAE) to enhance adaptation through reconstruction learning, and (3) a test-time training (TTT) strategy enabling unsupervised target domain adaptation without access to source data. …”
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Crowd-Sourced Buildings Data Collection and Remote Training: New Opportunities to Engage Students in Seismic Risk Reduction
Published 2023-12-01“…Data collection was performed both on-site, using smartphones, and online, based on remote sensing images provided by multiple sources (e.g., Google maps and street view). This allowed all students, including those with limited mobility, to perform the activity. …”
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Research on Speed and Position Detection Technology for Train Operation Control System Based on Multi-Source Information Fusion
Published 2024-12-01Subjects: Get full text
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Design Interleaved Full Bridge Circuit DC-DC Converter With Fuel Cell Power Source On Hybrid Trains
Published 2024-06-01“…Hybrid electric trains can prove progress from renewable energy, even though they require more than one energy source such as fuel cells and batteries, because renewable energy cannot stand alone. …”
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