Results 81 to 90 of about 6,748 (202)
Towards a Data‐Driven Digital Twin AI‐Based Architecture for Self‐Driving Vehicles
IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.ABSTRACT Recent advancements on digital technologies, particularly artificial intelligence, have been resulted into remarkable transformations in automobile industry. One of these technologies is artificial intelligence (AI). AI plays a key role in the development of autonomous vehicles. In this paper, the role of AI in autonomous vehicle (AV) platform
Parinaz Babaei +3 more
wiley +1 more source
Ensemble Transformer–Based Detection of Fake and AI–Generated News
Applied Computational Intelligence and Soft Computing, Volume 2025, Issue 1, 2025.The proliferation of fake online and AI–generated news content poses a significant threat to information integrity. This work leverages advanced natural language processing, machine learning, and deep learning algorithms to effectively detect fake and AI–generated content.
Md. Ishraquzzaman +4 more
wiley +1 more source
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.Ambient temperature estimation plays a vital role in various domains, including environmental monitoring, smart cities, and energy‐efficient systems. Traditional sensor‐based methods suffer from high deployment costs and limited scalability, while centralized machine learning approaches raise significant privacy concerns.
Saeid Zareie +3 more
wiley +1 more source
Structural Control and Health Monitoring, Volume 2025, Issue 1, 2025.As aging bridge infrastructure poses increasing safety risks, there is a critical need for reliable and scalable Structural Health Monitoring (SHM) systems. Traditional SHM methods, which rely on fixed sensor networks and assessments of individual bridges, face significant challenges in scalability, cost, and efficiency—particularly in complex urban ...
Jiangyu Zeng +3 more
wiley +1 more source
Corporate Social Responsibility and Environmental Management, Volume 31, Issue 6, Page 6318-6334, November 2024.Abstract Environmental, social, and governance (ESG) disclosure has drawn much attention from listed companies, investors, and regulators. In response to the increasing demand of investors and regulators for non‐financial information, listed companies have paid attention to publishing ESG reports consisting of environmental, social, and governance ...
Yuxiang Niu +5 more
wiley +1 more source
Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey
WIREs Data Mining and Knowledge Discovery, Volume 14, Issue 6, November/December 2024.Future research directions include exploring diverse meta—heuristic integrations, investigating transfer learning strategies, and advancing techniques for state space reduction. Abstract This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over the last 20 years, highlighting its success in solving complex optimization
Yang Yang +8 more
wiley +1 more source
SECURITY AND PRIVACY, Volume 7, Issue 5, September/October 2024.Abstract This systematic literature review examines the implementation and analysis of zk‐SNARK, zk‐STARK, and bulletproof non‐interactive zero‐knowledge proof (NIZKP) protocols in privacy‐preserving applications across diverse sectors. Examining 41 research works obtained through the systematic search queries and filtering criteria published from 2015
Bjorn Oude Roelink +2 more
wiley +1 more source
Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 14, Page 2122-2139, 15 July 2024.Abstract Drive‐by structural health monitoring (SHM) is a cost‐efficient alternative to the direct SHM of short‐ to medium‐size bridges requiring no sensors to be installed on the structure. However, drive‐by SHM is generally known as a short‐term monitoring technique due to the challenges associated with using multiple passages of instrumented ...
Hoofar Shokravi +3 more
wiley +1 more source
Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data
Structural Control and Health Monitoring, Volume 2024, Issue 1, 2024.Traditional bridge health monitoring methods that necessitate sensor installation are not only costly but also time‐consuming. In contrast, utilizing smartphone data collected from vehicles as they traverse bridges offers an efficient and cost‐effective alternative. This paper introduces a cutting‐edge damage detection framework for indirect monitoring
Mohammad Talebi-Kalaleh +2 more
wiley +1 more source
Forecasting Public Transit Use by Crowdsensing and Semantic Trajectory Mining: Case Studies
ISPRS International Journal of Geo-Information, 2016 With the growing development of smart cities, public transit forecasting has begun to attract significant attention. In this paper, we propose an approach for forecasting passenger boarding choices and public transit passenger flow.
Ningyu Zhang +3 more
doaj +1 more source