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A Program for Master of Science in Environment and Natural Resources (MENR)
Published 2022Get full text
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322
L’émergence des émotions dans les sciences psychologiques
Published 2016-05-01Get full text
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323
Ad-BBR: Enhancing Round-Trip Time Fairness and Transmission Stability in TCP-BBR
Published 2025-04-01Get full text
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Optimal Signal Control Design for Isolated Intersections Using Sample Travel-Time Data
Published 2022-01-01Get full text
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327
Investigation of suspected aneurysmal subarachnoid haemorrhage: a single-centre quality improvement project
Published 2025-07-01Get full text
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328
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Thermal comfort and energy related occupancy behavior in Dutch residential dwellings
Published 2018-10-01Get full text
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330
Coordinated Control and Load Shifting-Based Demand Management of a Smart Microgrid Adopting Energy Internet
Published 2023-01-01Get full text
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331
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The fertility of urban ruins: Obsolete industrial cities as ecosystem holders to activate circular economy
Published 2024-11-01Get full text
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Economic and Technical Performance Assessment of a Thermal Energy Storage System for Ancillary Services
Published 2022-06-01Get full text
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336
Leveraging modality‐specific and shared features for RGB‐T salient object detection
Published 2024-12-01“…Finally, to make full use of the rich multi‐level and multi‐scale decoding features contained in TSD, the authors design the adaptive multi‐scale decoding module and the multi‐stream feature aggregation module to improve the decoding capability. …”
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337
A Framework for Integrating Vision Transformers with Digital Twins in Industry 5.0 Context
Published 2025-01-01Get full text
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338
SSFAN: A Compact and Efficient Spectral-Spatial Feature Extraction and Attention-Based Neural Network for Hyperspectral Image Classification
Published 2024-11-01“…After preprocessing the HSI data, it is fed into the PSSB module, which contains two parallel streams, each comprising a 3D convolutional layer and a 2D convolutional layer. …”
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339
A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security
Published 2025-07-01“…Secondly, based on the final loss <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mi>L</mi></mrow><mrow><mi>A</mi><mi>E</mi></mrow></msub><mfenced open="(" close=")" separators="|"><mrow><mi>X</mi><mo>,</mo><mover accent="true"><mrow><mi>X</mi></mrow><mo>^</mo></mover></mrow></mfenced></mrow></semantics></math></inline-formula> index of each node, an adaptive weight adjustment mechanism is used to make the nodes with excellent performance dominate the global model update, which significantly improves robustness against complex attacks. …”
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