Results 61 to 70 of about 38,919 (183)
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley +1 more source
Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan +3 more
wiley +1 more source
VAE‐Based SPC for Botnet Detection in IoT Systems
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
ABSTRACT Safety‐critical control remains a major challenge for four‐wheel independently steered and driven (4ISD) mobile robots, where high‐accuracy path tracking and obstacle avoidance must be achieved under over‐actuated steering–driving coordination, tire–ground friction limits, and wheel‐torque constraints.
Ruitong Liu, Kenji Hashimoto
wiley +1 more source
Drones and computer vision offer an efficient way to estimate animal populations over localized areas, but surveys often require stitching many overlapping images together. If animals move during the survey, traditional orthomosaic‐based counting methods become unreliable, with some animals appearing in multiple locations while others appear not at all,
Benjamin Koger +5 more
wiley +1 more source
An Introduction to Predictive Processing Models of Perception and Decision‐Making
Abstract The predictive processing framework includes a broad set of ideas, which might be articulated and developed in a variety of ways, concerning how the brain may leverage predictive models when implementing perception, cognition, decision‐making, and motor control.
Mark Sprevak, Ryan Smith
wiley +1 more source
Klasifikasi Penyebab Penyalahgunaan Narkoba Dari Berita Online Dengan Menggunakan Naive Bayes
This research conducted the classification process by applying the method of classification of Naive Bayes. News article document is one form of text data that is not structured so that requires the process of cleaning data and pre-processing first.
Laili Wahyunita
doaj +1 more source
Histological classification of Japanese IgA nephropathy with a small number of glomeruli using Bayes' theorem. [PDF]
Nakata T +3 more
europepmc +1 more source
Abstract Research Summary Access to markets is critical for entrepreneurial success, yet many face significant barriers. This study argues that digital platforms functioning as peer‐to‐peer marketplaces can facilitate entrepreneurial activity by improving market access for new ventures.
Daehyun Kim, Yongwook Paik, Namil Kim
wiley +1 more source
Can AI be Easy? Lessons Learned From the EZR.py Toolkit
ABSTRACT Much recent press claims that developers no longer need to read code. We disagree, at least within the domain of tabular software‐engineering (SE) optimization tasks: rows of x$$ x $$ and y$$ y $$ values where the y$$ y $$ values are expensive to obtain.
Tim Menzies +2 more
wiley +1 more source

