Results 81 to 90 of about 25,252 (294)

Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage

, 2019
Radio resources in vehicle-to-vehicle (V2V) communication can be scheduled either by a centralized scheduler residing in the network (e.g., a base station in case of cellular systems) or a distributed scheduler, where the resources are autonomously ...
Boban, Mate, Khalili, Ramin, Wolisz, Adam, Şahin, Taylan   +3 more
core   +1 more source

“Am I being responsible?”: Navigating coming‐of‐age transitions through personal financial information management

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This research explored how young adults (ages 18–25) learn to use financial records and the roles financial records play in their experiences in coming to see themselves as financially mature social actors. The contribution of this paper is a revised model of transitions theory that includes personal information management (PIM) as an ...
Robert Douglas Ferguson, Rebekah (Becky) Willson, Karyn Moffatt   +2 more
wiley   +1 more source

Rate Splitting Multiple Access in V2X

IET Intelligent Transport Systems
This paper investigates the integration of rate‐splitting multiple access (RSMA) into cellular vehicle‐to‐everything (C‐V2X) networks to enhance resource allocation and interference management in decentralized, ad‐hoc vehicular communication environments.
Arun Kumar, Sumit Chakravarthy, Rashid Amin, Aziz Nanthaamornphong   +3 more
doaj   +1 more source

Introducing Intelligent Data Sharing to Vehicular Cooperative Federated Learning

IEEE Open Journal of Intelligent Transportation Systems
This paper proposes a simple yet unexplored measurement and federated learning system architecture for connected vehicles. The novelty of the introduced system is to combine the real-time data-sharing of crowdsensing with federated learning of global ...
Levente Alekszejenko, Peter Antal, Tadeusz Dobrowiecki   +2 more
doaj   +1 more source

Efficient Resource Allocation for Backhaul-Aware Unmanned Air Vehicles-to-Everything (U2X)

Sensors, 2020
Unmanned aerial vehicles (UAVs) allow better coverage, enhanced connectivity, and elongated lifetime when used in telecommunications. However, these features are predominately affected by the policies used for sharing resources amongst the involved nodes.
Takshi Gupta, Fabio Arena, Ilsun You
doaj   +1 more source

“Basic human things”: Investigating vehicle residents' continually fractured (information) landscapes

Journal of the Association for Information Science and Technology, EarlyView.
Abstract This ethnographic study explores vehicle residents' information practices in the United States (US). Vehicle residents are people whose primary means of housing is a vehicle. This work builds on previous research encompassing transitions and fractured (information) landscapes. Using fractured information landscapes as the theoretical framework,
Kaitlin E. Montague
wiley   +1 more source

Intelligent Adversary Placements for Privacy Evaluation in VANET

Information, 2020
Safety applications in Vehicular Ad-hoc Networks (VANETs) often require vehicles to share information such as current position, speed, and vehicle status on a regular basis.
Ikjot Saini, Benjamin St. Amour, Arunita Jaekel   +2 more
doaj   +1 more source

Intelligent Transportation System With 5G Vehicle-to-Everything (V2X): Architectures, Vehicular Use Cases, Emergency Vehicles, Current Challenges, and Future Directions

IEEE Access
In recent years, connected vehicle technologies emerged to provide a safer and more connected environment for transportation systems, which has further evolved into cellular vehicle-to-everything (C-V2X) technology.
Vaishali Pawar, Nilima Zade, Deepali Vora, Vaishali Khairnar, Aurenice Oliveira, K. Kotecha, Ambarish Kulkarni   +6 more
semanticscholar   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

What characterises well‐connected schools? Exploring centrality in inter‐organisational school networks

British Educational Research Journal, EarlyView.
Abstract Within the educational literature, inter‐organisational school networks are commonly considered instruments for administration, management, and school improvement, but are rarely scrutinised as objects of study themselves. Conversely, in organisational studies, this perspective is given more prominence.
Ignacio Wyman, Paul Wilfred Armstrong
wiley   +1 more source