Results 61 to 70 of about 641 (180)

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, Nosrat Riahinia, Omid Mahdi Ebadati E, Ali Azimi   +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, Mohammed Ashraful Islam Chowdhury, Shahreen Rahman, Riasat Khan, Dimitrios A. Karras   +4 more
wiley   +1 more source

A Privacy‐Preserving Federated Learning Framework for Ambient Temperature Estimation With Crowdsensing and Exponential Mechanism

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, Rasool Esmaeilyfard, Pirooz Shamsinejadbabaki, Richard Murray   +3 more
wiley   +1 more source

FairCs—Blockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment

Sensors, 2020
Crowdsensing applications provide platforms for sharing sensing data collected by mobile devices. A blockchain system has the potential to replace a traditional centralized trusted third party for crowdsensing services to perform operations that involve ...
Yihuai Liang, Yan Li, Byeong-Seok Shin
doaj   +1 more source

Multibridge Inference Structural Health Monitoring (MISHM): A Drive‐By Crowdsensing Approach at the Network Level

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, Qipei Mei, Mustafa Gül, Suparno Mukhopadhyay   +3 more
wiley   +1 more source

Blockchain‐based incentive mechanism for environmental, social, and governance disclosure: A principal‐agent perspective

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, Yelin Fu, Xinlai Liu, Arjun Rachana Harish, Ming Li, George Q. Huang   +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, Yuchao Gao, Zhe Ding, Jinran Wu, Shaotong Zhang, Feifei Han, Xuelan Qiu, Shangce Gao, You‐Gan Wang   +8 more
wiley   +1 more source

Systematic review: Comparing zk‐SNARK, zk‐STARK, and bulletproof protocols for privacy‐preserving authentication

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, Mohammed El‐Hajj, Dipti Sarmah   +2 more
wiley   +1 more source

In‐fleet structural health monitoring of roadway bridges using connected and autonomous vehicles’ data

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, Mohammadreza Vafaei, Bijan Samali, Norhisham Bakhary   +3 more
wiley   +1 more source

Crowdsensing big data:sensing,data selection,and understanding

大数据, 2017
Mobile crowdsensing (MCS) has become an emerging paradigm for large-scale sensing.It empowers ordinary citizens to contribute data sensed or generated from their mobile devices (e.g.,smartphones,wearable devices),aggregates and fuses the data in the ...
Bin GUO, Shuying ZHAI, Zhiwen YU, Xingshe ZHOU   +3 more
doaj