Computer Information Systems and Industrial Management (eBook, PDF)

23rd International Conference, CISIM 2024, Bialystok, Poland, September 27-29, 2024, Proceedings
Redaktion: Saeed, Khalid; Dvorský, Jirí

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 23rd International Conference on Computer Information Systems and Industrial Management, CISIM 2024, held in Bialystok, Poland, during September 27-29, 2024.

The 31 full papers presented were carefully reviewed and selected from 47 submissions. These papers focus on biometrics and pattern recognition applications; computer information systems and security; industrial management and other applications; machine learning and artificial neural networks; modelling and optimization.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 458
• Erscheinungstermin: 29. August 2024
• Englisch
• ISBN-13: 9783031711152
• Artikelnr.: 72242002

Inhaltsangabe

.- Biometrics and Pattern Recognition Applications.
.- A review of image thinning algorithms.
.- Proposal of Online Handwritten Signature Authentication Using Minutiae Matching for Kanji Characters.
.- Application of Mixture Density Network for sample generation in behavioral biometrics.
.- Computer Information Systems and Security.
.- Using Game Theory to Secure Smart Contracts in Blockchain.
.- Towards Medical Record Keeping with Blockchain, RSA-Encrypted NFTs, and Smart Contracts.
.- A New Method "ProjectionP" for Table Structure Recognition.
.- Disaster Recovery Plans in data systems: An overview of trends and future guidelines.
.- Industrial Management and other Applications.
.- Developing Comfort Monitoring Prototype using IoT and Cloud Computing.
.- Application of Business Intelligence to Analysis of Factors for the Prevention of Non-Communicable Diseases.
.- Texture and shape-based Segmentation of coffee beans images.
.- A Feedback Method Adjusting Music Volume based on User's Task Performance on Calculation.
.- Voice long distance transmission using audio codec for low-performance microcontrollers and LoRa communication for use in IoT.
.- Revolutionizing Organic Product Traceability: Utilizing Smart Contracts, NFT, IPFS and Distributed Ledgers for Transparent Organic Products Supply Chains.
.- Challenges in Health Information Systems: health data management and access for life sciences research.
.- Machine Learning and Artificial Neural Networks.
.- Early Predicting Congenital Fetus Malformations Based on Decision Trees Algorithm.
.- Machine Learning Based Approach for Crime Analysis in India with An Emphasis on Women Safety.
.- Usability of cGAN for Partial Discharge Detection in Covered Conductors.
.- High-quality facial feature occlusion repair based on SGANs.
.- Entity Annotation with Wikipedia Using Neural Networks.
.- Modelling and Optimization.
.- Incorporating User Experience (UX) Insights and Customer Value Considerations for Successful Vision-Driven Product Development.
.- Leveraging Global Suicide Statistics for Insightful Prevention Strategies: A Comprehensive Analysis.
.- MOO-Points - Distance-based Method for Multi-objective Optimization in the Imbalanced Data Classification Task.
.- Investigation of performance and energy consumption of tokenization algorithms on multi-core CPUs under power capping.
.- Interactive Evolutionary Computation Improving Voice Impressions with Keeping Speaker Personality for Realtime Speech.
.- Balanced State Splitting of Finite State Machines for FPGA Implementations of Control Units.
.- Towards Explaining the Spectrogram of Graph Spectral Clustering in Text Document Domain.
.- Usage of Real-World Maps for 3D Mobile Games - Transformations and Optimizations.
.- Models and methods in crisis management connected with food-borne disease outbrea.
.- Optimisation of Battery Energy Storage Systems Capacity for Purpose to Reduce Energy Cost.
.- Mathematical modelling for automatic cell contractions detection and their directions in artificially grown human cardiomyocytes.
.- Subjective Impression Perceived from Agent that Can Recognize Discrepancy in Visual Perception of Situation.