Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carr...
Copyright and Reprint Permissions: Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center. the papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. they reflect the authors' opinions and, in the interests of timely dissemination, are published as presented and without change. their inclusion in this publication does not necessarily constitute endorsement by the editors or the Institute of Electrical and Electronics Engineers, Inc.
the CropMaster is an autonomous rover system designed to enhance Scotch Bonnet production by improving disease management, crop sorting, autonomous navigation, and real-time environmental monitoring. Equipped with sen...
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the proceedings contain 86 papers. the special focus in this conference is on Advances in Information Communication Technology and computing. the topics include: Universal Representation theory—Rigour II;revolutioniz...
ISBN:
(纸本)9789819761050
the proceedings contain 86 papers. the special focus in this conference is on Advances in Information Communication Technology and computing. the topics include: Universal Representation theory—Rigour II;revolutionizing Smart Cities: A Data-Driven Traffic Monitoring System for real-time Traffic Density Estimation and Visualization;Assessing the Influence of Self-service Technology on WOM: the Role of Customer Satisfaction;Universal Representation theory—applications II;enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality;evaluating the Enhancement of Cognitive Skills and Acquisition of New Skills in an Environment of Different Video Game Genres;hySeg-Net: A Robust Interactive Hybrid Technique for Image Segmentation and Classification in Hand Gesture Recognition;web Vulnerability Scanner;digitalization of Educational Resources in Pre-tertiary Education in Ghana: Assessing Impact, Challenges, and Opportunities in Enhancing Learning Outcomes;interconnected through Robotic System in English Foreign Language Education;transferability Cybersocialization as a Digital Civility through Artificial Intelligence-Based Design thinking Mindset to Modern Pedagogy;fog computing in Healthcare: Enhancing Recommendations and real-time Monitoring;enhancing Bank Consumer Retention: A Comprehensive Analysis of Churn Prediction Using Machine-Learning and Deep Learning Techniques;a Contemporary Model of Kazakh National Pedagogy in the Era of Technology: theory-Based Design Framework;the Future of Post-harvest Logistics: the Cold Chain Practices with Blockchain, IoT, and FinTech;diagnosing Sexually Transmitted Disease in Females: Leveraging Dimensionality Reduction and Machine Learning;a Systematic Review of Optimal Task Scheduling Methods Using Machine Learning in Cloud computing Environments;Intelligent Urban Futures: Exploring AI and Machine Learning applications in Smart Cities.
Transportation is one of the main sectors responsible for negative environmental impacts. Integrating emerging technologies can help provide real-time, resilient, and intelligent solutions that are necessary for decar...
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Voice recognition has been widely used in intelligent human-computer interaction, especially in the areas of voice assistant, intelligent house and autonomous driving. Due to the rapid development of deep learning, th...
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A collective adaptive system is made up of cooperating entities that can adjust in realtime to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous enginee...
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ISBN:
(纸本)9783031751066;9783031751073
A collective adaptive system is made up of cooperating entities that can adjust in realtime to evolving, open environments and shifting requirements. To ensure such a system meets its intended goals, rigorous engineering must employ suitable methods and tools. this introduction offers a short overview of the 5(th) edition of the track "Rigorous Engineering of Collective Adaptive systems" and briefly presents the 20 scientific contributions, organised into seven thematic sections. Large Ensembles and Collective Dynamics, Knowledge, Consciousness and Emergence, Automated Reasoning for Better Interaction, Modelling and Engineering Collective Adaptive systems, Analysing Collective Adaptive systems.
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 withthe 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 withthe 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.
the 5th Edge computing Workshop (doors 2025) is a peer-reviewed international edge computing event organized by Zhytomyr Polytechnic State University and the Academy of Cognitive and Natural Sciences. this workshop br...
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the proceedings contain 44 papers. the special focus in this conference is on computing and Network Communications. the topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;re...
ISBN:
(纸本)9789819747108
the proceedings contain 44 papers. the special focus in this conference is on computing and Network Communications. the topics include: Maximizing Efficiency: Unveiling the Potential of Kubernetes Metrics;resource-Aware Learning Automata for Low-Latency Task Scheduling in Fog computing;Design of High Gain Wideband Petal-Shaped Magneto-Electric Dipole Metal Antenna for 5G Sub-6 GHz and Wi-Fi applications;A Novel Billhook-Shaped 2-Element MIMO Array for Sub-6 GHz Millimeter Wave Application;energy-Efficient Transmission in Wireless Sensor Network Using Compressive Sensing;smart City Solutions for Traffic Management;an IoT-Assisted real-time Urban Air Pollution Data Collection System;real-time Stock Price Prediction Using Apache Kafka;RSS-Based Localization Using GRU and BiGRU Deep Learning Models in LoRaWAN-IoT Networks;locating and Routing for IoT-Based Fire Evacuation System;an Energy-Efficient Data Management Approach Using Sparse Compression in Future-Ready IoT Networks;a Framework for Developing IoT and Edge computing-Based Smart Transportation applications;a Mathematical Model for Data Traffic Management in Next-Generation IoT Networks;crowdsourced Mobile applications for Disaster Relief: A Case Study of Landslide Tracker and Amrita Kripa App Deployments in Sikkim Schools;design and Modeling of Modular Wheelchair for therapeutic Exercises;analyzing Data Traffic in IoT Networks: A Novel Graph-Based Architecture;A Lightweight Privacy-Preserving and Authentication Model (LiPAM-FSG) for Fog-Based Smart Grids;time Series Analysis and Rule Mining for Detecting Industrial Control System Data Injection Attacks;Radius-Based Authentication: UFrames’ Novel Approach to Prevent Account Sharing;deep Neural Network-Based Secure Energy-Efficient Power Allocation in an Interference Network;An Adaptive time Quantum-Based Efficient Round-Robin Algorithm for CPU Scheduling;low-Cost Advanced Undetectable Hardware-Based Malicious Keyboard;constructing a Blind Digital Signature Scheme
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