Now showing items 1-10 of 158
Development and Performance Evaluation of a Connected Vehicle Application Development Platform (CVDeP)
(Transportation Research Board, 2020-01-12)
Connected vehicle (CV) application developers need a development platform to build, test and debug real-world CV applications, such as safety, mobility, and environmental applications, in edge-centric cyber-physical ...
Intersection SPaT Estimation by means of Single-Source Connected Vehicle Data
Current traffic management systems in urban networks require real-time estimation of the traffic states. With the development of in-vehicle and communication technologies, connected vehicle data has emerged as a new data ...
The Complexity of Otherness: Anthropological contributions to robots and AI
(Oxford University Press, 2020-05-01)
The chapter explores anthropological contribution to robotics and AI.
The Business of Robots and AI
(Palgrave Macmillan, 2020-01-01)
The paper studies the involvement of business in the development of ethics for robots and AI
Interval type-2 fuzzy multi-attribute decision-making approaches for evaluating the service quality of Chinese commercial banks
In today’s world, with increased competition, the service quality of Chinese commercial banks is recognized as a major factor that is responsible for enhancing competitiveness. Therefore, it is necessary to evaluate and ...
Attitude Quantifier Based Possibility Distribution Generation Method for Hesitant Fuzzy Linguistic Group Decision Making
The possibility distribution-based approach is one of the powerful tools available to manage hesitant fuzzy linguistic term set (HFLTS) information. However, existing possibility distribution studies have not considered ...
Identity politics: Participatory research and its challenges related to social and epistemic control
(Taylor and Francis, 2020)
Over the past 20 years the participation of laypersons or representatives of civil society has become a guiding principle in processes of research and innovation. There is now a significant literature discussing collaboration ...
Impact of Decision Rules and Non-Cooperative Behaviors on Minimum Consensus Cost in Group Decision Making
In group decision making (GDM), it is sensible to achive minimum consensus cost (MCC) because the consensus reaching process (CRP) resources are often limited. In this endeavour, though, there are still two issues that ...
Vehicle detection and classification in difficult environmental conditions using deep learning
The time drivers spend stuck in traffic is increasing annually, on a global level. Time lost in traffic imposes costs both economically and socially. Tracking congestion throughout the road network is critical in an ...
Towards Semantic Segmentation Using Ratio Unpooling
This paper presents the concept of Ratio Unpooling as a means of improving the performance of an Encoder-Decoder Convolutional Neural Network (CNN) when applied to Semantic Segmentation. Ratio Unpooling allows for 4 ...