Results 31 to 40 of about 3,458,167 (137)
Uncertainty‐Aware Machine Learning Models for Flash Flood Prediction
ABSTRACT Flash floods have intensified in recent years, and machine learning (ML) models are increasingly used for real‐time prediction. However, most ML‐based flood‐forecasting studies remain largely deterministic and provide limited evidence on how input uncertainty propagates to forecasts, compromising reliability for operational early‐warning ...
Jaqueline A. J. P. Soares +5 more
wiley +1 more source
The inductive learning methodology known as decision trees, concerns the ability to classify objects based on their attributes values, using a tree like structure from which decision rules can be accrued.
Beynon, Malcolm James, Malcolm J. Beynon
core +1 more source
Potential for use of Al/machine learning for pharmacovigilance: Is there a role for regulators?
British Journal of Clinical Pharmacology, EarlyView.
Christina Gao +3 more
wiley +1 more source
A Hybrid Machine Learning Framework to Improve Morphological Trait Recovery in Avian Datasets
Our hybrid models integrating local pattern recognition, nonlinear mapping, and adaptive optimization are anticipated to elevate the accuracy of the imputation while preserving the distinctiveness of biological datasets, thus providing a more reliable foundation for ecological and evolutionary research.
Yu Bai +9 more
wiley +1 more source
New Difference Triangle Sets by a Field‐Programmable Gate Array‐Based Search Technique
ABSTRACT We provide some difference triangle sets with scopes that improve upon the best known values. These are found with purpose‐built digital circuits realized with field‐programmable gate arrays (FPGAs) rather than software algorithms running on general‐purpose processors.
Mohannad Shehadeh +2 more
wiley +1 more source
Digital‐Twin‐Enabled, Time‐Aware Anomaly Detection for Industrial Cyber‐Physical Systems
The graphical abstract (Graphical Abstract figure) summarises the proposed pipeline: multivariate ICS data streams are windowed and normalised, fed into a temporal LSTM–DNN encoder and per‐sensor operating‐envelope learner, combined via calibrated fusion and finally surfaced through an operator‐facing digital twin that provides event timelines, top ...
Wulfran Fendzi Mbasso +5 more
wiley +1 more source
This article provides a comprehensive review of studies on the 3L‐CVRP (capacitated vehicle routing problem with three‐dimensional loading constraints) published from 2006 to 2026. It systematically classifies problem variants, modelling frameworks, and solution approaches, while also summarising benchmark instances.
Jushang Chi, Rui Song, Shiwei He
wiley +1 more source
Controllable testing from nondeterministic finite state machines with multiple ports [PDF]
Copyright @ 2011 IEEESome systems have physically distributed interfaces, called ports, at which they interact with their environment. We place a tester at each port and if the testers cannot directly communicate and there is no global clock then we are ...
Rob Hierons, Hierons, RM
core +1 more source
This is the first release of Interactive Decision Trees package. It contains Python modules that enable the user to interact with the Decision Tree by creating new composite variables, grouping the input variables and color code the groups, selecting ...
Pianosi, Francesca +2 more
core +1 more source
Refactoring Object‐Oriented Software With ChatGPT: An Empirical Study
Generative AI (GenAI) is currently being utilized in many tasks to improve their quality. Because GenAI tools are highly qualified in text‐based applications, they have the potential to automate tasks across the software engineering lifecycle. In this study, we empirically investigate ChatGPT’s ability to perform code refactoring tasks.
Hanady M. Abdulsalam +5 more
wiley +1 more source

