Results 141 to 150 of about 4,548 (274)
Economic Record, EarlyView.We study the effects of heat and high temperature shocks on inflation in Australia using monthly, state‐level temperature anomaly data via two stages. In the first stage, we decompose temperature anomalies into orthogonal components using a structural vector autoregression with long‐run restrictions.
Tan Dat Huynh, Mengheng Li
wiley +1 more source
Switching Kalman Filters for Prediction and Tracking in an Adaptive Meteorological Sensing Network [PDF]
, 2008 — We consider the problem of configuring sensors in an adaptive sensor network being used to monitor meteorological features. One way to decide future sensor configurations is to base them on information currently being collected.
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L‐VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
Computer Graphics Forum, EarlyView.L‐VISP is a human‐machine solution that uses visual analytics for LSTM modelling in clinical research. L‐VISP uses custom visual encodings to make multiple LSTM variants interpretable, supporting a full range of analysis, from understanding model operations and evaluating performance to interpreting results in a clinical context.
C. Floricel +6 more
wiley +1 more source
Journal of Marine Science and EngineeringThe integration of strap-down inertial navigation systems (SINSs) and ultra-short baseline (USBL) systems has become a mainstream navigation approach for unmanned underwater vehicles (UUVs).
Boyang Wang, Zhenjie Wang
doaj +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
Computer Graphics Forum, EarlyView.We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
Robust filtering for a class of stochastic uncertain nonlinear time-delay systems via exponential state estimation [PDF]
, 2001 Copyright [2001] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z, Burnham, KJ
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Sampling-Based Adaptive Techniques for Reducing Non-Gaussian Position Errors in GNSS/INS Systems
AerospaceIn this paper, we propose a novel method to reduce non-Gaussian errors in measurements using sampling-based distribution estimation. Although non-Gaussian errors are often treated as statistical deviations, they can frequently arise in practical unmanned
Yong Hun Kim +4 more
doaj +1 more source
Machine learning approaches in automated infant General Movements Assessment: A scoping review
Developmental Medicine &Child Neurology, EarlyView.Automated infant General Movements Assessment increasingly uses machine‐ and deep‐learning approaches to classify movement patterns and estimate cerebral palsy risk from video or sensor data. This scoping review highlights how dataset characteristics, recording environment, pose‐estimation accuracy, feature extraction, and model design influence system
Manpreet Kaur +4 more
wiley +1 more source
Fish and Fisheries, EarlyView.ABSTRACT Several studies have demonstrated non‐stationarity in marine fish maximum per capita recruitment rate, which may be linked to regional environmental drivers. Exploring relationships between environmental drivers and time‐varying recruitment rate will provide insight into recruitment processes, and suggest how fisheries managers may adapt ...
Rachel C. Marshall +4 more
wiley +1 more source
Adaptive visual sampling [PDF]
, 2010 PhDVarious visual tasks may be analysed in the context of sampling from the visual field. In visual psychophysics, human visual sampling strategies have often been shown at a high-level to be driven by various information and resource related factors ...
Raja, Yogesh
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