Results 191 to 200 of about 512,844 (338)
Collaborative Visual Localization for Modular Self‐Reconfigurable Robots
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang +4 more
wiley +1 more source
Assessment of the Effect of School Feeding on Dropout Rate in Kolfe Keranio Public Primary School, Addis Ababa, Ethiopia: A Quasi-Experimental Study. [PDF]
Dagnaw M, Hailu E, Arage SM.
europepmc +1 more source
Predictive Parameters of Dropout During Inhaled Corticosteroid Tapering [PDF]
Daniel K.C. Lee +2 more
openalex +1 more source
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor +5 more
wiley +1 more source
scZiva: imputation method for single-cell RNA-seq data with zero-inflated variational autoencoder. [PDF]
Vo LT, Le VV, Ha QT, Nguyen AQ.
europepmc +1 more source
Factors affecting dropout in distance education in the course of administration
Márcia Cristina Benigno Bentes
openalex +1 more source
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley +1 more source
Sociodemographic and geographic determinants of childhood immunization coverage and equity in Ghana: Analysis of the 2022 demographic and health survey. [PDF]
Saani AT, Azumah GE.
europepmc +1 more source
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez +4 more
wiley +1 more source

