The proceedings contain 289 papers. The topics discussed include: the medical image watermarking algorithm based on DFT and logistic map;quality of service approach in homogenous network (UMTS-UMTS) using parameter th...
ISBN:
(纸本)9788994364216
The proceedings contain 289 papers. The topics discussed include: the medical image watermarking algorithm based on DFT and logistic map;quality of service approach in homogenous network (UMTS-UMTS) using parameter throughput, jitter and delay;the study of two novel software-based techniques for generating extra input states;research on IEEE 802.11n wireless LANs of multicast traffic characteristics analysis for supporting video streaming;design and implementation of automatic QoS measure framework for web services;formal properties and analysis method of BPEL base on Petri Net;malicious web page detection based on feature classification;a support system for smart selection and examination of initial focus pages in web exploration;an improved line following optimization algorithm for mobile robot;and wireless security method for on-board centered train control system.
Low Power Wide Area Network (LPWAN) technology has gained popularity across various Internet-of-Things (IoT) applications. Among these, the Long Range Wide Area Network (LoRaWAN), primarily used in private outdoor set...
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In healthcare, accessing diverse and large datasets for machine learning poses challenges due to data privacy concerns. Federated learning (FL) addresses this by training models on decentralized data while preserving ...
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To address the issues of low convergence accuracy, vulnerability to local optima, and prolonged execution time associated with traditional Phasmatodea population evolution algorithms, we propose a revised approach kno...
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It is seen that there is a rapid increase in Internet of Things (IoT) devices, and fog computing has emerged as an efficient and viable solution to reduce latency by performing computations closer to the edge. However...
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In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digita...
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ISBN:
(纸本)9783031815720;9783031815737
In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digital world. As the proliferation of IoT devices continues unabated, the traditional cloud-centric model for data processing and decision-making faces significant challenges. Edge IoT systems, by shifting computational intelligence closer to the data source, offer a compelling solution to these challenges, promising greater efficiency, lower latency, and enhanced real-time decision-making capabilities. On the other hand, the convergence of edge computing, artificial intelligence (AI), and the Internet of Things (IoT) has ushered in a new era of intelligent systems with transformative potential across various domains. This includes the development of edge computing infrastructure, AI models optimized for edge deployment, and IoT device architectures that support real-time data processing and analysis. This paper proposes a comprehensive review on Edge computing, AI, and IoT integration for intelligent systems. We focus on the concept of Edge-AI and its potential applications in real-time processing for Internet of Things. The paper introduces Edge-IA technology, explores commonly used networking and messaging protocols in IoT, and discusses the opportunities and challenges of Edge-IA and IoT in various industries, including agriculture and healthcare.
This article introduces an enhanced ant colony optimization (ACO) approach for addressing the cold-chain logistics distribution challenge, which includes time window constraints and temperature requirements. The propo...
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Leveraging the explosion of medical data including patient histories, electronic health records & medical imaging, the integration of machine learning techniques with healthcare for multi-disease prediction has ex...
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With the rapid advancement of information and communication technology, there arises an increasing demand for heightened computing capabilities to facilitate a myriad of intelligent services. The computing power netwo...
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