AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
Researchers conducting SLRs in the IoT field are strongly encouraged to adopt TEFA(S) alongside updated PRISMA practices to improve the relevance, reliability, and generalizability of their SLRs.
Background: This paper aims to systematically review, based on a set of 125 papers, smart-home automation with IoT from the perspective of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main evidence synthesis was conducted on empirical studies published from 2024 to 202...
A systematic literature review and quantitative analysis evaluating a selected corpus of 61 peer-reviewed and 14 preprint papers in the healthcare domain reveals a pervasive neglect of LLM-specific vulnerabilities such as prompt injection and jailbreak attacks and a tendency to treat regulatory frameworks as design fea...
A systematic literature review of the security aware software engineering frameworks for IoT systems proposed from 2018 to 2025, along with the definition of six dimensions in order to help with its classification and comparison, delivers a standardized structural foundation to guide subsequent investigations into secu...
This paper offers a systematic literature review on the tools used in Smart Manufacturing Systems (SMS) and the barriers to their integration, focusing on Small and Medium Enterprises (SMEs). It examines the technologies SMEs adopt for Smart Manufacturing and the challenges they face in implementation. The paper highl...
The findings show that CPS-IoT-cloud systems support improved patient monitoring, enhanced data analytics, real-time decision support, remote healthcare delivery, personalized care, and operational efficiency, but a gap between technical feasibility and deployment readiness is revealed.
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