Titlebook: Intelligent Systems and Data Science; First International Nguyen Thai-Nghe,Thanh-Nghi Do,Peter Haddawy Conference proceedings 2024 The Edi

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An Intelligent Polarimetric System for High-Throughput and High-Sensitivity Quality Assessment of Comount of residual strains while scanning the wafer at high speed. Residual strain is an important quality measure in semiconductor wafers and computer-controlled polarimetric system is widely used to characterize its distribution. In order to handle the novel semiconductors such as silicon carbide (

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Strengthening Information Security Through Zero Trust Architecture: A Case Study in South Korea implementation in South Korea. The study examines the limitations of traditional ISMS models, particularly the Korean Information Security Management System, and posits that integrating Zero Trust principles can address these shortcomings. Utilizing a case-study approach, this paper provides an in-

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A Big Data Approach for Customer Behavior Analysis in Telecommunication Industryer behavior for their business outcomes. The analysis of user historical activities promoted paramount importance in driving strategic decision-making to enhance customer experiences and recommend ways to attract customers more effectively. While the demand is growing, some telecom data analytics ei

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An Efficient Cryptographic Accelerators for IoT System Based on Elliptic Curve Digital Signaturems through encryption algorithms implemented on the SoC-FPGA platform. Specifically, this paper presents the development of a hardware system that generates public keys and performs digital signature generation and verification using the Elliptic Curve Digital Signature Algorithm (ECDSA) based on th

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Transliterating Nom Script into Vietnamese National Script Using Multilingual Neural Machine Translaal machine translation (NMT) to Nom transliteration, these approaches have not effectively utilized the shared characteristics of multilingualism. To overcome this, we propose a new method that employs a highly shared parameter multilingual NMT model, using a unified parameter set the encoder and de

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FDPS: A YOLO-Based Framework for Fire Detection and Preventione propose FDPS, an inexpensive and efficient machine learning-based framework for the early detection and extinguishing of small fires using a minimal amount of Internet of Things equipment, such as a NodeMCU, camera, and pump. The system functions through two primary phases: fire detection and fire

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Application of Swin Transformer Model to Retrieve and Classify Endoscopic Imagess on medical image retrieval. Numerous machine learning approaches have been used for image retrieval problems and have made as a result of the ongoing developments in techniques like Convolutional Neral Networks (CNN) and Vision Transformers with quite good performances. The Swin Transformer model

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