Results 151 to 160 of about 432 (243)
A novel intrusion detection framework using hybrid deep learning to detect IIoT cloud environments attacks. [PDF]
Chen S, Feng X.
europepmc +1 more source
Failure-Guided Fuzzing for Hybrid Quantum-Classical Programs
Hybrid quantum-classical (HQC) algorithms, such as the Variational Quantum Eigensolver (VQE) and the Quantum Approximate Optimization Algorithm (QAOA), are central to near-term quantum computing but remain challenging to test. Sampling-based fuzzing can expose faulty or non-convergent configurations, but under realistic execution budgets, it may miss ...
openaire +2 more sources
The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley +1 more source
QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus. [PDF]
R M, Ramesha SS, Mukhopadhyay A.
europepmc +1 more source
ABSTRACT Sustainable livestock manure management sits at the nexus of climate, nutrient circularity and water quality. This review explores how artificial intelligence (AI) and digital platforms are used across four management stages, that is, treatment, storage, valorisation and distribution, and figures out where integration fails to deliver ...
Zhan Shi +3 more
wiley +1 more source
A vulnerability detection method for IoT protocol based on parallel fuzzy algorithm. [PDF]
Han Y, Wang P, Kang C, Lin J, Fan W.
europepmc +1 more source
ABSTRACT This study presents an analysis of the literature on artificial intelligence (AI), blockchain and internet of things (IoT) for the sustainable development of the service industry of freight transport and logistics service providers (LSPs).
Roberto Cerchione +2 more
wiley +1 more source
BEPCD: an ensemble learning-based intrusion detection framework for in-vehicle CAN bus. [PDF]
Xu B +5 more
europepmc +1 more source
ABSTRACT Rapid urbanisation and intensifying rainfall have increased cities' vulnerability to flooding, posing major challenges to sustainable development. Although machine learning models have improved flood prediction accuracy, most remain limited by their black‐box nature and lack of actionable insights.
Abdulwaheed Tella +4 more
wiley +1 more source
Blockchain integration for in-vehicle CAN bus intrusion detection systems with ISO/SAE 21434 compliant reporting. [PDF]
Andreica T +4 more
europepmc +1 more source

