Computer Information Systems and Industrial Management 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22-24, 2023, Proceedings
by
Saeed, Khalid. editor. (orcid)
Title
:
Computer Information Systems and Industrial Management 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22-24, 2023, Proceedings
Author
:
Saeed, Khalid. editor. (orcid)
ISBN
:
9783031428234
Edition
:
1st ed. 2023.
Physical Description
:
XXIV, 511 p. 258 illus., 192 illus. in color. online resource.
Series
:
Lecture Notes in Computer Science, 14164
Contents
:
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.
Added Author
:
Saeed, Khalid.
Dvorský, Jiří.
Nishiuchi, Nobuyuki.
Fukumoto, Makoto.
Added Corporate Author
:
SpringerLink (Online service)
Electronic Access
:
Library | Material Type | Item Barcode | Shelf Number | [[missing key: search.ChildField.HOLDING]] | Status |
---|
Online Library | E-Book | 521140-1001 | XX(521140.1) | | Elektronik Kütüphane |