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141
Processing of Thermoelectric Fe2VAl Heusler-compounds by laser powder bed fusion: From single scan tracks to bulk material
Published 2025-07-01“…A Single Scan Tracks (SSTs) analysis was conducted as usually done for materials newly processed by L-PBF as well as a top-down approach based on printing parameters of stainless steel. …”
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142
Direct position determination algorithm for non‐circular sources in the presence of mutual coupling and its theoretical performance analysis
Published 2023-03-01Subjects: “…array signal processing…”
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143
Research on Underground Track Tracking of a New Type Shaft Boring Machine
Published 2025-01-01“…MATLAB and Simulink simulate the joint of the track tracking process in the new shaft boring machine. …”
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144
Interaction between image and text during the process of biblical art reception
Published 2021-03-01Subjects: Get full text
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145
A Multi-Active and Multi-Passive Sensor Fusion Algorithm for Multi-Target Tracking in Dense Group Clutter Environments
Published 2024-11-01Subjects: Get full text
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146
Numerical analysis of molten iron flow and heat transfer in plumbing casting defect detection using split tracking approach
Published 2025-08-01Subjects: “…Volume-tracking schemes…”
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147
A Comprehensive Classification of State-of-the-Art Distributed Maximum Power Point Tracking Architectures for Photovoltaic Systems
Published 2025-01-01Subjects: Get full text
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148
Fruit fast tracking and recognition of apple picking robot based on improved YOLOv5
Published 2024-10-01Get full text
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149
APPLICATION OF SOLID-STATE TRACK DETECTORS FOR MEASUREMENT OF THE LOW-LEVEL ACTIVITY OF ALPHA-EMITTERS
Published 2016-06-01Subjects: Get full text
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150
The processing of familiar English L2 phrasal verbs in neutral and biased sentence contexts
Published 2025-06-01“…This paper addresses an important psycholinguistic question: whether L2 learners preferentially process phrasal verbs (PVs) literally or figuratively, irrespective of context and proficiency levels. …”
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151
Long-term tracking of neural and oligodendroglial development in large-scale human cerebral organoids by noninvasive volumetric imaging
Published 2025-01-01“…Thus, noninvasive imaging enabled us to perform long-term tracking of neural and oligodendroglial development in the large-scale human cerebral organoid. …”
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152
An Intelligent Track Segment Association Method Based on Characteristic-Aware Attention LSTM Network
Published 2025-05-01Subjects: “…sensor data processing…”
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153
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An integrated hybrid wire-arc directed energy deposition, friction stir processing, and milling system for multi-track, multi-layer part manufacturing
Published 2024-12-01“…To take advantage of all these three processes, this work proposes an integrated hybrid system by combining the wire-arc DED, FSP, and milling processes into a standalone system which can fabricate superior materials in a multi-track, multi-layer manner for the first time. …”
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Verbs' implicit causality in coreference and coherence processing during L2 comprehension
Published 2025-04-01Subjects: Get full text
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157
2D train-track-bridge interaction analysis considering the effect of ballasted tracks
Published 2024-11-01“…The numerical results reveal a significant dynamic vertical coupling between the bridge decks, highlighting the critical importance of including ballasted tracks in the modeling process of these structures.…”
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158
Pursuit eye movements in dyslexic children: evidence for an immaturity of brain oculomotor structures?
Published 2020-05-01Subjects: Get full text
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159
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Vehicle Target Tracking Algorithm Based on Improved Strong Tracking Unscented Kalman Filter
Published 2025-03-01“…A multidimensional adaptive factor-based strong tracking UKF (MAST-UKF) algorithm is proposed. The method introduces multidimensional attenuation factors in the prediction and updating process of filtering, and realizes the strong tracking filtering of vehicle targets by adjusting the uncertainty of state noise covariance and observation noise covariance and dynamically updating the multidimensional attenuation factors by adaptively adjusting the threshold based on the observation residuals and the state estimation error. …”
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