Computer Information Systems and Industrial Management 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22–24, 2023, Proceedings /
This book constitutes the proceedings of the 22nd International Conference on Computer Information Systems and Industrial Management, CISIM 2023, held in Tokio, Japan, during September 22-24, 2023. The 36 papers presented in this book were carefully reviewed and selected from 77 submissions. They we...
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| Institution som forfatter: | |
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| Andre forfattere: | , , , |
| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
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| Udgivelse: | 1st ed. 2023. |
| Serier: | Lecture Notes in Computer Science,
14164 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-3-031-42823-4 |
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Indholdsfortegnelse:
- Biometrics and Pattern Recognition Applications
- Proposal of Earprint Authentication System Considering Pressing Force
- Performance Improvement of Person Verification Using Evoked EEG by Imperceptible Vibratory Stimulation
- Biometric gait analysis using wrist-mounted wearable sensors
- Finger minutiae extraction based on the use of YOLO-V5
- Computer Information Systems and Security
- Towards a Blockchain, smart contract, and NFT based medical waste classification system: a case study in Vietnam
- Towards a Blockchain, smart contract, and NFT based waste treatment system for developing countries: a case study in Vietnam
- A new file format for binarized images
- A new approach to the architecture of hybrid and multilayer steganographic methods
- A Game-based Approach for Mitigating the Sybil Attacks on Blockchain Applications
- Industrial Management and other Applications
- Dynamic Adaptive Capacityof metalworking companies in Barranquilla – Colombia: analysis from the export process in the 4.0 era
- An Ecological Unmanned Hot-Air Balloon for the Agricultural Lands’ Inspection
- SE-Coins System: Software for Supporting Gamificationbased Educational Processes
- The Effects Of Buyer-Supplier Collaboration On Supply Chain Performance: A Study In The Brazilian Electronics Sector
- Relationship between degree of appropriation of ICT and learning styles of teachers in training
- Efficacy of Flipped Learning in Engineering Education of India
- Hybrid Recommender System Model for Tourism Industry Competitiveness Increment
- Machine Learning and Artificial Neural Networks
- Insect detection on high-resolution images using Deep Learning
- Grading diabetic retinopathy using transfer learning-based convolutional neural networks
- Evaluating techniques based on supervised learning methods in Casas Kyoto dataset for Human Activity Recognition
- A Novel Self-Supervised Representation Learning Model for an Open-set Speaker Recognition
- How to boost Machine Learning Network Intrusion Detection Performance with Encoding Schemes
- Neural Networks and Saliency Maps in Diabetic Retinopathy Diagnosis
- Towards Rough Set Theory for Outliers Detection in Questionnaire Data
- Modelling and Optimization
- Optimization of Bread Production using Neuro-Fuzzy Modelling
- Applications of graph topology in manufacturing of anti cancer drugs
- An Approach Toward Congestion Management for Improved Emergency Vehicle Management in Intelligent Urban Traffic Network
- Proposal of an algorithm for solving the component assignment problem of an adjacent triangle-(m, n):F triangular lattice system
- Music Recommender System Considering the Variations in Music Selection Criterion Using an Interactive Genetic Algorithm
- Fault detection of Moore finite state machines by structural models
- Investigation of Subjective Impression Perceived from Agent that Expresses Multiple Opinions Simultaneously
- ICBAKE 2023 Workshop
- Wellbeing and Affective Engineering
- Facial Expression Estimation Using Convolutional Neural Network with Upper and Lower Segmented Face Images
- Two-Step Classification Method for Sadness and Fear Facial Expression Classification Using Facial Feature Points and FACS
- Positiveness calculation of Japanese POPS using music features extracted from acoustic data
- Machine Learning Using Biometric Data and Kansei Data
- Classification of Programming Logic Understanding Level using Mouse Tracking Heatmaps and Machine Learning Techniques
- Investigating the Use of Machine Learning Methods for Levels of Sense of Presence Classification based on Eye Tracking Data
- Personalized Beverage Blending System Using Interactive Genetic Algorithm and its Search Analysis.