Computer Information Systems and Industrial Management 23rd International Conference, CISIM 2024, Bialystok, Poland, September 27–29, 2024, Proceedings /

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 pape...

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Searvvušdahkki: SpringerLink (Online service)
Eará dahkkit: Saeed, Khalid (Doaimmaheaddji), Dvorský, Jiří (Doaimmaheaddji)
Materiálatiipa: Elektrovnnalaš E-girji
Giella:eaŋgalasgiella
Almmustuhtton: Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
Preanttus:1st ed. 2024.
Ráidu:Lecture Notes in Computer Science, 14902
Fáttát:
Liŋkkat:https://doi.org/10.1007/978-3-031-71115-2
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Sisdoallologahallan:
  • -- 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.