Results 31 to 40 of about 8,226,807 (254)

RF-AIRCGR: Lightweight Convolutional Neural Network-Based RFID Chinese Character Gesture Recognition Research

IEEE Access
Gesture recognition serves as a foundation for Human-Computer Interaction (HCI). Although Radio Frequency Identification (RFID) is gaining popularity due to its advantages (non-invasive, low-cost, and lightweight), most existing research has only ...
Yajun Zhang, Congcong Wang, Feng Li, Weiqian Yu, Yuankang Wang, Jingying Chen   +5 more
doaj   +1 more source

A Statistical Technique for Modelling Dissolved Oxygen in Salt Lakes

Cogent Engineering, 2021
An integrated linear regression technique was developed and validated to model dissolved oxygen in salt lakes by using R software and based on data from Sawa Lake, Iraq. The technique helps understand and evaluate salty aquatic ecosystems in the presence
Hussein A. M. Al-Zubaidi, Ahmed S. Naje, Zaid Abed Al-Ridah, Ali Chabuck, Isam Mohamad Ali   +4 more
doaj   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Singular Value Decomposition Approaches in A Correspondence Analysis with The Use of R

Folia Oeconomica Stetinensia, 2018
The aim of a correspondence analysis is the graphical representation of the categories of variables in one frame of reference. This visualization is possible due to the decomposition of the basic matrix with the use of Singular Value Decomposition (SVD).
Brzezińska Justyna
doaj   +1 more source

Markov-Switching GARCH Models in R: The MSGARCH Package

Journal of Statistical Software, 2019
We describe the package MSGARCH, which implements Markov-switching GARCH (generalized autoregressive conditional heteroscedasticity) models in R with efficient C++ object-oriented programming.
David Ardia, Keven Bluteau, Kris Boudt, Leopoldo Catania, Denis-Alexandre Trottier   +4 more
doaj   +1 more source

NRASQ61R Expression in Lymphatic Endothelial Cells Causes Enlarged Vessels, Hemorrhagic Chylous Effusions, and High Mortality in a Mouse Model of Kaposiform Lymphangiomatosis

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Kaposiform lymphangiomatosis (KLA) is an aggressive complex lymphatic anomaly. Patients exhibit malformed lymphatic vessels and often develop hemorrhagic effusions and elevated angiopoietin‐2 (Ang‐2) levels. A somatic NRAS p.Q61R (NRASQ61R) mutation has been associated with KLA.
C. Griffin McDaniel, Patricia Pastura, Joshua P. Scallan, Timothy D. Le Cras   +3 more
wiley   +1 more source

Implementing spatial segregation measures in R. [PDF]

, 2014
Reliable and accurate estimation of residential segregation between population groups is important for understanding the extent of social cohesion and integration in our society.
Hong, Seong-Yun, OSullivan, David, Sadahiro, Yukio   +2 more
core   +3 more sources

Inpatient Food Insecurity and Pediatric Hematology Oncology Hospitalization Outcomes

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Children with cancer and blood disorders are at risk for food insecurity (FI). We aimed to describe the association of inpatient food insecurity (IFI) and hospitalization outcomes among patients admitted to the pediatric hematology oncology service. Of 325 caregivers screened for IFI, 60 (18.6%) screened positive.
Joanna M. Robles, Greg Russell, Leila H. DeWitt, Kimberly Montez, Callie L. Brown   +4 more
wiley   +1 more source

Exploratory Factor Analysis with R Software

Anadolu Üniversitesi Eğitim Fakültesi dergisi, 2020
Exploratory Factor Analysis (EFA) is frequently used in educational and social sciences. EFA has been used in scale development and adaptation studies, in particular. Therefore, in this study, how to conduct EFA in R software has been explained. First of
Abdullah Faruk Kılıç
doaj   +2 more sources

Graph Convolutional Networks and Attention-Based Outlier Detection

IEEE Access, 2022
Outlier detection is a significant research direction in machine learning and has many applications in finance, network security, and other areas. Outlier detection of Euclidean datasets is a mainstream problem in outlier detection.
Rui Qiu, Xusheng Du, Jiong Yu, Jiaying Wu, Shu Li   +4 more
doaj   +1 more source