This paper addresses the problem of distributed state estimation for smooth nonlinear systems over sensor networks by means of a generalized fuzzy proportional-integral observer (PIO). A sensor network is employed to collect system measurements, with a pull-type gossip protocol governing the ...

Large-scale Internet of Things (IoT) systems are characterized by massive numbers of interconnected devices, heterogeneous dynamics, and complex interaction structures, which can be effectively modeled using complex networks. In many IoT applications, secure cluster synchronization is essential for coordin...

This study explores fundamental philosophical questions about the nature of human completeness through its focus on people who challenge conventional definitions of Western personhood: children with learning disability, complex physical and sensory impairment, and additional health needs, which cause ...

Traditional federated learning (FL) methods rely on a single global model, which often collapses under heterogeneous and non-IID client data distributions. Personalized federated learning (PFL) alleviates this limitation, yet existing approaches either overfit to local data or fail to exploit sha...

This case-based research study examines the implementation of Teaching for Mastery (TfM) in mathematics using the NCETM's Five Big Ideas – Coherence, Representation and Structure, Variation, Mathematical Thinking, and Fluency. The study considers the opportunities and challenges associated with ap...

Frequent security issues with smart contract vulnerabilities have become a pressing challenge in the industry. Conventional program analysis methods lack flexibility and extensibility, leading to high false positive rates. Deep learning approaches are emerging as a new trend to address this ...

The past decade has seen networking and intelligent computing converge into a single discipline, where connectivity is no longer a passive substrate but an active, learning system. Ubiquitous IoT devices, cloud–edge continuums, and programmable data planes now generate torrents of telemetry ...

The rapid increase in atmospheric greenhouse gas concentrations, particularly CO₂ emissions from anthropogenic activities, poses a significant global challenge requiring urgent mitigation. Key strategies include improving energy efficiency through advanced thermal management and heat-transfer technologies, developing...

It’s a rare privilege to have seven esteemed scholars devote their attention and expertise to my book Disbelief, and I’m grateful for their exciting and productive commentaries on it. Writing a book (Gervais, 2024) is a strange experience. You’ve got some ideas that you...