Results 41 to 50 of about 48,663,700 (216)

Developing a critical caste analysis within information science and technology: A research review: An Annual Review of Information Science and Technology (ARIST) paper

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Caste—an ascriptive social hierarchy in South Asia and its diaspora—is a globalized phenomenon. Recent caste‐based discrimination, particularly in technology companies and anti‐caste efforts to address it, has compelled academia, policy, and the technology industry to better understand contemporary mechanics of caste.
Nayana Kirasur, Britt Paris
wiley   +1 more source

Cyclic Update of Project Scheduling by Using Telematics Data

IFAC-PapersOnLine, 2021
: Discrete-event simulation (DES) is not really used in construction industries that require more flexibility. However, use cases can be found where DES can support the construction industries. One use case is schedule optimization. This paper presents an
A. Fischer, Z. Li, F. Wenzler, S. Kessler, J. Fottner   +4 more
semanticscholar   +1 more source

The Degradation of Access‐Based Business Models: Customer Misbehavior and Shared Mobility

Business Strategy and the Environment, EarlyView.
ABSTRACT Access‐based services are considered one of the strategies to embed sustainability in business models. Yet, because the evolution of these business models has been overlooked, we do not know whether their promise to create triple value is sustained.
Andres Camacho, Carmen Valor
wiley   +1 more source

Integration of traditional and telematics data for efficient insurance claims prediction

ASTIN Bulletin: The Journal of the International Actuarial Association
While driver telematics has gained attention for risk classification in auto insurance, scarcity of observations with telematics features has been problematic, which could be owing to either privacy concerns or favorable selection compared to the data ...
Hashan Peiris, Himchan Jeong, Jae-Kwang Kim   +2 more
semanticscholar   +1 more source

On the Black-Box Challenge for Fraud Detection Using Machine Learning (I): Linear Models and Informative Feature Selection

Applied Sciences, 2022
Artificial intelligence (AI) is rapidly shaping the global financial market and its services due to the great competence that it has shown for analysis and modeling in many disciplines. What is especially remarkable is the potential that these techniques
Jacobo Chaquet-Ulldemolins, Francisco-Javier Gimeno-Blanes, Santiago Moral-Rubio, Sergio Muñoz-Romero, José-Luis Rojo-Álvarez   +4 more
doaj   +1 more source

Bidirectional Longitudinal Associations Between Problematic Social Media Use and Emotional Symptoms in Adolescents: Results From a Random Intercept Cross‐Lagged Panel Model

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Problematic social media use (PSMU) and emotional symptoms are consistently associated during adolescence; however, the directionality of this relationship remains debated. Methods The present study examined the bidirectional longitudinal associations between PSMU and emotional symptoms in a large sample of Italian adolescents ...
Chiara Remondi, Antonino La Tona, Laura Salerno, Rita Aiello, Valeria Donisi, Silvia Poli, Elide Francesca De Caro, Elisa Delvecchio, Agostino Brugnera   +8 more
wiley   +1 more source

Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network [PDF]

IEEE International Conference on Tools with Artificial Intelligence, 2019
Despite advancements in vehicle security systems, over the last decade, auto-theft rates have increased, and cyber-security attacks on internet-connected and autonomous vehicles are becoming a new threat. In this paper, a deep learning model is proposed,
Abenezer Girma, Xuyang Yan, A. Homaifar
semanticscholar   +1 more source

Regulatory options for vehicle telematics devices:balancing driver safety, data privacy and data security [PDF]

This article seeks to address the issue of the regulation of telematics in vehicles. The objective is to navigate the need to protect data privacy and data security while enhancing road safety through telematics.
Truby, Jon, Brown, Rafael Dean, Ibrahim, Imad Antoine   +2 more
core   +1 more source

Driven by digital innovations. Regulating connected car data access and use, for Telematics Insurance in Europe - interview notes

, 2022
The topic of this research is whether the European Union (EU) legal and regulatory framework is fit for purpose in relation to the take-up of telematics insurance.
Van Den boom, Freyja
core   +1 more source

Initialisation and network effects in decentralised federated learning

Applied Network Science
Fully decentralised federated learning enables collaborative training of individual machine learning models on a distributed network of communicating devices while keeping the training data localised on each node.
Arash Badie-Modiri, Chiara Boldrini, Lorenzo Valerio, János Kertész, Márton Karsai   +4 more
doaj   +1 more source