Results 241 to 250 of about 2,540,801 (303)
Uncertainty-Aware Contamination Detection in IoT Water Networks via Interval Type-2 Fuzzy Rare Itemset Mining. [PDF]
Sensors (Basel)Mariadhason JS +3 more
europepmc +1 more source
Stochastic Model Predictive Control Using Indirect Feedback With a Modified Terminal Constraint
Optimal Control Applications and Methods, EarlyView.This paper proposes a novel dynamic terminal set approach for the model predictive control (MPC) design. It concerns the class of linear systems subject to stochastic disturbances and builds upon an indirect feedback (IF) strategy. The main contribution is to explore the time‐varying definition of the constraints in the indirect feedback SMPC (IF‐SMPC)
Tito L. M. Santos, Sorin Olaru
wiley +1 more source
Designing for biodiversity data in place: Species, encounters, and interfaces
People and Nature, EarlyView.Abstract Species occurrence data, which records the presence of an organism at a point in space and time, is central to environmental science and its opening up to new forms of participation such as citizen science. Such data are increasingly aggregated and mobilised, reaching diverse audiences.
Mitchell Whitelaw +3 more
wiley +1 more source
Recursive Batch Smoother with Multiple Linearization for One Class of Nonlinear Estimation Problems: Application for Multisensor Navigation Data Fusion. [PDF]
Sensors (Basel)Stepanov O +3 more
europepmc +1 more source
People and Nature, EarlyView.Abstract In a time of extensive global biodiversity loss, conservation efforts increasingly rely on high‐resolution, accurate, up‐to‐date habitat maps to guide decision‐making and strategic interventions. Many products have been developed in response, using machine learning (ML) methods to automate habitat classification, often relying on satellite ...
Victoria Webster +7 more
wiley +1 more source
Machine Learning-Based Self-Induced Scratch Intensity Detection Using Feature Optimization and Multi-Channel Electromyogram Signals for Prevention of Lichenification. [PDF]
Bioengineering (Basel)Cheema MO +5 more
europepmc +1 more source
AI‐Based PV Fault Detection: Benchmarking Indicators and Feature Selection Methods
Progress in Photovoltaics: Research and Applications, EarlyView.This article benchmarks indicators for automated defect detection in photovoltaic modules. The methodology has three phases: generating a simulated ideal defect‐free I‐V curve, comparing it with experimental measurements under standard test conditions, calculating indicators, and applying a feature‐selection strategy to identify the most relevant ...
Cristian Terrados‐López +4 more
wiley +1 more source