Results 81 to 90 of about 4,842 (263)

MambaShadowDet: A High-Speed and High-Accuracy Moving Target Shadow Detection Network for Video SAR

Remote Sensing
Existing convolution neural network (CNN)-based video synthetic aperture radar (SAR) moving target shadow detectors are difficult to model long-range dependencies, while transformer-based ones often suffer from greater complexity. To handle these issues,
Xiaowo Xu, Tianwen Zhang, Xiaoling Zhang, Wensi Zhang, Xiao Ke, Tianjiao Zeng   +5 more
doaj   +1 more source

Remaining Useful Life Model and Assessment of Mechanical Products: A Brief Review and a Note on the State Space Model Method

Chinese Journal of Mechanical Engineering, 2019
The remaining useful life (RUL) prediction of mechanical products has been widely studied for online system performance reliability, device remanufacturing, and product safety (safety awareness and safety improvement).
Yawei Hu, Shujie Liu, Huitian Lu, Hongchao Zhang   +3 more
doaj   +1 more source

Continuous-time state-space modelling of delinquent behaviour in adolescence and young adulthood

, 2021
Using data from a longitudinal study on delinquent behaviour of adolescents in Germany, we investigate the persistence of an individual’s delinquency level over time.
Mews, Sina
core   +1 more source

“Dead Lithium” Formation and Mitigation Strategies in Anode‐Free Li‐Metal Batteries

Batteries &Supercaps, Volume 8, Issue 3, March 2025.
Anode‐free lithium metal batteries, though promising due to their high energy density, face challenges from dead lithium formation. “Dead lithium”, disconnected from the anode, causes capacity loss, increased resistance, and safety risks. This review explores the origins of dead lithium, its impact on battery performance, and potential strategies for ...
Mozaffar Abdollahifar, Andrea Paolella
wiley   +1 more source

State Space Model Based PID Controller Tuning

, 2019
Advances in digital computing over the last years have resulted in new and powerful tools for obtaining process models. An example of such a tool is the dsr toolbox, which gives a state space model based on measured input/output data.
Solvang, Preben Sandve
core   +1 more source

Current Trends and Future Research in Management Control for Sustainability in Retail

Business Strategy and the Environment, EarlyView.
ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley   +1 more source

A Comparison of Confidence Intervals in State Space Models

, 2023
This thesis develops general procedures for constructing confidence intervals (CIs) of the error disturbance parameters (standard deviations) and transformations of the error disturbance parameters in time-invariant state space models (ssm).
Du, Jinyu
core   +1 more source

VISTA-SSM: Varying and irregular sampling time-series analysis via state-space models.

Psychological Methods
We introduce VISTA, a clustering approach for multivariate and irregularly sampled time series based on a parametric state space mixture model. VISTA is specifically designed for the unsupervised identification of groups in datasets originating from healthcare and psychology where such sampling issues are commonplace.
Benjamin Brindle, Thomas Derrick Hull, Matteo Malgaroli, Nicolas Charon   +3 more
openaire   +3 more sources

Locked in Transition: Examining the Role of Paradoxical Tensions in the Transition From Industrial Cluster to Eco‐Clusters

Business Strategy and the Environment, EarlyView.
ABSTRACT Industrial clusters are central to the circular economy transition, yet how they develop into eco‐clusters and the paradoxical tensions this transformation fuels remain underexplored. Drawing on 48 in‐depth interviews and secondary data from a Turkish textile‐recycling cluster, we develop an empirically grounded model of eco‐cluster transition
Tulin Dzhengiz, Leona A. Henry, Simon M. Smith   +2 more
wiley   +1 more source

Integrated numerical simulation and source‐sink matching methodology for Basin‐Wide CO2 storage assessment in depleted reservoirs: A Cambay Basin case study

Deep Underground Science and Engineering, EarlyView.
This study presents an integrated workflow to evaluate secure and large‐scale CO2 storage in depleted oil reservoirs of the Cambay Basin, India. Industrial CO2 sources are systematically matched with mature oil fields using a quantitative source–sink framework to minimize transport distance and cost.
Bhaskarjyoti Khanikar
wiley   +1 more source