Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection. [PDF]
D PK+7 more
europepmc +1 more source
Correction to: India: Intruder Node Detection and Isolation Action in Mobile Ad Hoc Networks Using Feature Optimization and Classification Approach. [PDF]
Kavitha T, Geetha K, Muthaiah R.
europepmc +1 more source
Metric Anticipation in Mobile Ad-Hoc Networks
In this paper, we propose a new method for metric calculations. It aims to improve mobility management in wireless networks. The idea consists in anticipating metric values in order to compensate the delay generated by the measure of the link quality and the routing protocols.
Naimi, Sabrina+4 more
openaire +1 more source
ABSTRACT Background Glutamate and glutamine are critical metabolites in gliomas, each serving distinct roles in tumor biology. Separate quantification of these metabolites using in vivo MR spectroscopy (MRS) at clinical field strengths (≤ 3T) is hindered by their molecular similarity, resulting in overlapping, hence indistinguishable, spectral peaks ...
Seyma Alcicek+10 more
wiley +1 more source
Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density. [PDF]
Li X, Bian X, Li M.
europepmc +1 more source
A Family of ACO Routing Protocols for Mobile Ad Hoc Networks. [PDF]
Rupérez Cañas D+3 more
europepmc +1 more source
Dynamic Agent Classification and Tracking Using an Ad Hoc Mobile Acoustic Sensor Network [PDF]
David Friedlander+4 more
openalex +1 more source
Radiographer Preferences for Shoulder x‐Ray Imaging in Australia: A National Survey
A national, cross‐sectional online survey obtained data on the views and combination of views preferred by Australian radiographers across five common pathological presentations. The results demonstrate a wide variation in image preferences of Australian radiographers performing shoulder imaging.
Zoe Moran+4 more
wiley +1 more source
India: Intruder Node Detection and Isolation Action in Mobile Ad Hoc Networks Using Feature Optimization and Classification Approach. [PDF]
Kavitha T, Geetha K, Muthaiah R.
europepmc +1 more source