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681
Event-Based Visual/Inertial Odometry for UAV Indoor Navigation
Published 2024-12-01“…These results underscore the potential of our approach as a robust solution for real-world UAV indoor navigation scenarios.…”
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682
The rise of weekly insulins: addressing the challenges of type 2 diabetes care in Brazil
Published 2025-01-01Get full text
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683
Depth Penetration and Scope Extension of Failures in the Cascading of Multilayer Networks
Published 2020-01-01“…Real-world complex systems always interact with each other, which causes these systems to collapse in an avalanche or cascading manner in the case of random failures or malicious attacks. …”
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684
Efficient task migration and resource allocation in cloud–edge collaboration: A DRL approach with learnable masking
Published 2025-01-01“…By evaluating MGSAC on the real-world Bit-Brain dataset and simulating it using Cloud-Sim, experimental results demonstrate its superiority over existing algorithms in energy consumption, task response time, task migration time, and task Service-Level-Agreement violations rate, showcasing its effectiveness in real-world scenarios.…”
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685
The crane radar: Development and deployment of an operational eco-digital twin
Published 2025-03-01“…As virtual copies of real-world phenomena, digital twins are rapidly gaining popularity in industry, academia and policy. …”
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686
An Investigation of the Domain Gap in CLIP-Based Person Re-Identification
Published 2025-01-01“…This work contributes to a deeper understanding of the domain gap in re-id, while highlighting pathways for improving model robustness and generalization in diverse, real-world scenarios.…”
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687
Real-time monitoring of lower limb movement resistance based on deep learning
Published 2025-01-01“…In real-world settings, the practical implications of MMTL-Net include its potential to enhance patient outcomes in rehabilitation and improve athletic performance through precise, real-time monitoring and feedback.…”
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688
High-fidelity immersive virtual reality environments for gait rehabilitation exergames
Published 2025-01-01“…Feedback on the quality of the HMD-VR exergame was received from the first implementations.ResultsOur methodology demonstrates the successful, highly realistic VR replication of restorative real-world environments using 3D point clouds and environmental sounds. …”
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689
MRCNN: Multi-input residual convolution neural network for three-dimensional reconstruction of bubble flows from light field images
Published 2025-02-01“…Following calibration, a seamless transformation is established between the camera coordinate system and the real-world coordinate system using a sharpness evaluation algorithm. …”
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690
KalmanFormer: using transformer to model the Kalman Gain in Kalman Filters
Published 2025-01-01“…Recursive Kalman Filters (KF) are widely regarded as an efficient solution for linear and Gaussian systems, offering low computational complexity. However, real-world applications often involve non-linear dynamics, making it challenging for traditional Kalman Filters to achieve accurate state estimation. …”
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691
The Evolution of Price Competition Game on Complex Networks
Published 2018-01-01“…These results provide new and important insights for understanding price competition in the real world.…”
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692
Interrupted time series datasets from studies investigating the impact of interventions or exposures in public health and social science: a data note
Published 2025-01-01“…We undertook two empirical studies to investigate: (i) how effect estimates (and associated statistics) compared when six statistical methods were applied to 190 real-world datasets; and (ii) how meta-analysis effect estimates (and associated statistics) compared when the combinations of two ITS analysis methods and five meta-analysis methods were applied to 17 real-world meta-analyses including 283 ITS datasets. …”
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693
Effect of nirmatrelvir/ritonavir (Paxlovid) on hospitalization among adults with COVID-19: An electronic health record-based target trial emulation from N3C.
Published 2025-01-01“…Several studies have found a protective association in real-world data, but they variously used less recent study periods, correlational methods, and small, local cohorts. …”
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694
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695
VECTOR: Velocity-Enhanced GRU Neural Network for Real-Time 3D UAV Trajectory Prediction
Published 2024-12-01“…Our methodology employs both synthetic and real-world 3D UAV trajectory data, incorporating diverse patterns of agility, curvature, and speed. …”
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696
Prediction accuracy of discrete choice experiments in health-related research: a systematic review and meta-analysisResearch in context
Published 2025-01-01“…It is essential to understand the extent to which DCEs provide reliable predictions outside of experimental settings in real-world decision-making situations. We aimed to compare the prediction accuracy of stated preferences with real-world choices, as modelled from DCE data. …”
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697
Míticas do envelhecimento: em busca de uma vida saudável
Published 2017-01-01“…The aim of this work is to learn how healthy life ideas dialogue with the real world of those who are getting old. It is an ethnographic study with a social-anthropological perspective that assesses contemporary aging, based on its social remodeling process.…”
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698
Choix moraux, éthique et jeux vidéos
Published 2018-10-01“…When he takes this kind of decision, the player also question his morality and his responsability in both the virtual and the real world. By doing that, videogames are changing our relation to ethic.…”
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699
Treatment Patterns of Follicular Lymphoma in the United States: A Claims Analysis
Published 2022-10-01“…Guidelines provide numerous recommendations for first-, second-, and third-line therapy; however, treatment patterns in the real world remain poorly understood. **Objectives:** The primary objective of this study is to evaluate real-world treatment patterns among commercially insured patients with FL in the United States. …”
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700
Decentralized and Asymmetric Multi-Agent Learning in Construction Sites
Published 2024-01-01“…As heuristics alone are insufficient in real-world scenarios, we utilize them to train AI agents, which proves to be highly effective. …”
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