Overview

This book constitutes the proceedings of the 37th International Conference on Computer Applications in Industry and Engineering, CAINE 2024, which took place in San Diego, USA, in October 2024.  The 17 full papers presented in these proceedings were carefully reviewed and selected for inclusion in the book. They were organized in topical sections as follows: Machine learning and AP applications; blockchain and security; parallel computing and algorithms; data processing and image analysis; networking and edge computing; and cryptography and pseudorandom generators. 

Full Product Details

Author:   Gongzhu Hu ,  Krishna K Kambhampaty ,  Indranil Roy
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
Volume:   2242
ISBN:  

9783031762727

ISBN 10:   303176272
Pages:   220
Publication Date:   30 December 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

Machine Learning and AI Applications.- Development and Optimization of an Ultra-Lightweight Deep Spoken Keyword Spotting Model for FPGA Acceleration.- Hybrid AI Techniques for Non-Invasive Fault Detection with Experimental Validation.- An Interactive Question-Answer Based System on Alzheimer’s Disease Using Retrieval Augmented Generation.- Assessing the Impact of Prompt Strategies on Text Summarization with Large Language Models.- Evaluation of Effectiveness for Prompts and Generative AI Responses.- Blockchain and Security.- Securing RC Based P2P Networks: A Blockchain-Based Access Control Framework Utilizing Ethereum Smart Contracts for IoT and Web 3.0.- Integrating Blockchain-Based Security and Privacy with QML in Edge Computing for 6G Networks.- An Analysis of Malicious Behaviors of Open-Source Packages Using Dynamic Analysis.- Accessible Cybersecurity Education through Prompt Tree Structure.- Parallel Computing and Algorithms.- Bayesian Parameter Inference in Stochastic Biochemical Models using Moment Approximations.- Introducing Multidimensional Parallel Decoder to Reduce Cost of Implementation and Latency.- Introducing Novel Parallel Computing Using Orbital Data.- Data Processing and Image Analysis.- Image Segmentation Network Based on Convolutional Layers, a Clustering Layer, and Cluster Classification.- Measuring API Usability and the Environment: A YouTube API Case Study.- Networking and Edge Computing.- Enabling Seamless Healthcare Services with RC-Based Geographical Peer-to-Peer Fog Architecture in Healthcare 4.0.- Applying Skyline Operator and Taxicab Geometry to Identify Optimal Locations for Establishing Business Properties.- Cryptography and Pseudorandom Generators.- A New Pseudorandom Binary Generator Based on Nonlinear Feedback Registers with Boolean Function Combined Using Multiplexers.

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