Results 201 to 210 of about 360,829 (301)

A new scale‐selective measure of curvature for meteorological fields

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce a novel diagnostic called curvature using radial variation (CURV) that quantifies the local cyclonic or anticyclonic curvature of mean‐sea‐level pressure or geopotential height gridded fields over selected scales. A depiction of how CURV values relate to differing cyclonic curvature is shown in the figure.
Nigel Roberts   +3 more
wiley   +1 more source

VAE‐Based SPC for Botnet Detection in IoT Systems

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT The rapid proliferation of Internet of Things (IoT) devices has created new security risks, particularly botnet infections. This paper proposes an unsupervised monitoring framework that combines a β$\beta$‐variational autoencoder (VAE) with multivariate statistical process control (SPC) for botnet detection in IoT networks.
Jorge Proaño   +3 more
wiley   +1 more source

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta   +3 more
wiley   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

Debunking educational myths: towards evidence-based simulation training. [PDF]

open access: yesEinstein (Sao Paulo)
Cecilio-Fernandes D   +7 more
europepmc   +1 more source

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