Results 71 to 80 of about 3,948 (214)

An Efficient Cluster‐Based Routing Protocol for Enhanced Data Delivery and Stability in VANETs: Cluster‐Based Ant‐Colony Routing With Adaptive Cluster Head

open access: yesIET Networks, Volume 14, Issue 1, January/December 2025.
This article presents CARAC, a novel hybrid routing protocol for vehicular ad hoc networks (VANETs), combining K‐medoids‐based dynamic clustering with Ant Colony Optimisation and an adaptive cluster stability mechanism. CARAC enhances route reliability, reduces latency, and improves packet delivery by maintaining stable cluster structures in highly ...
Léonce Thérèse Pidy Pidy   +4 more
wiley   +1 more source

Adaptive Grouping Distributed Compressive Sensing Reconstruction of Plant Hyperspectral Data

open access: yesSensors, 2017
With the development of hyperspectral technology, to establish an effective spectral data compressive reconstruction method that can improve data storage, transmission, and maintaining spectral information is critical for quantitative remote sensing ...
Ping Xu   +4 more
doaj   +1 more source

A Hybrid Model to Extend Vehicular Intercommunication V2V through D2D Architecture

open access: yes, 2015
In the recent years, many solutions for Vehicle to Vehicle (V2V) communication were proposed to overcome failure problems (also known as dead ends).
Abd-Elrahman, Emad   +4 more
core   +1 more source

Advancing urban mobility in developing countries: A mobile RSU approach for sustainable transportation

open access: yesIET Intelligent Transport Systems, Volume 18, Issue 12, Page 2502-2519, December 2024.
This article addresses the urban mobility challenges arising from rapid urbanization in developing countries by proposing an RSU‐based approach that utilizes motorbike taxis for inter‐vehicular communication. The approach aims to reduce investment costs and enhance the sustainability of urban mobility.
Justin Moskolaï Ngossaha   +4 more
wiley   +1 more source

GEAMS: a Greedy Energy-Aware Multipath Stream-based Routing Protocol for WMSNs

open access: yes, 2012
Because sensor nodes operate on power limited batteries, sensor functionalities have to be designed carefully. In particular, designing energy-efficient packet forwarding is important to maximize the lifetime of the network and to minimize the power ...
Ahmed, Toufik   +2 more
core   +1 more source

Change in sprint cycling torque is not associated with change in isometric force following six weeks of sprint cycling and resistance training in strength‐trained novice cyclists

open access: yesEuropean Journal of Sport Science, Volume 24, Issue 11, Page 1604-1613, November 2024.
Abstract Strong relationships exist between sprint cycling torque and isometric mid‐thigh pull (IMTP) force production at one timepoint; however, the relationships between the changes in these measures following a training period are not well understood. Accordingly, this study examined the relationships in the changes of sprint cycling torque and IMTP
Shannon Connolly   +6 more
wiley   +1 more source

A Q-Learning and Fuzzy Logic-Based Hierarchical Routing Scheme in the Intelligent Transportation System for Smart Cities

open access: yesMathematics, 2022
A vehicular ad hoc network (VANET) is the major element of the intelligent transportation system (ITS). The purpose of ITS is to increase road safety and manage the movement of vehicles. ITS is known as one of the main components of smart cities.
Amir Masoud Rahmani   +6 more
doaj   +1 more source

IMRO: a proximal quasi-Newton method for solving $l_1$-regularized least square problem

open access: yes, 2017
We present a proximal quasi-Newton method in which the approximation of the Hessian has the special format of "identity minus rank one" (IMRO) in each iteration. The proposed structure enables us to effectively recover the proximal point.
Karimi, Sahar, Vavasis, Stephen
core   +1 more source

Exploring the mathematic equations behind the materials science data using interpretable symbolic regression

open access: yesInterdisciplinary Materials, Volume 3, Issue 5, Page 637-657, September 2024.
Symbolic regression (SR) transforms “black box” machine learning into interpretable models by deriving mathematical expressions from data sets. The theoretical foundations, five categories of models, computational software, and benchmark data sets are reviewed. The paper also provides an overview of SR's applications in materials research, from feature
Guanjie Wang   +4 more
wiley   +1 more source

Recovery from Linear Measurements with Complexity-Matching Universal Signal Estimation

open access: yes, 2014
We study the compressed sensing (CS) signal estimation problem where an input signal is measured via a linear matrix multiplication under additive noise.
Baron, Dror   +2 more
core   +1 more source

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