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This LNCS volume 15927 constitutes the proceedings of the 24th International Conference on Computer Information Systems and Industrial Management, CISIM 2025, in Fukuoka, Japan, held during September 11-13, 2025.
The 33 full papers presented were carefully reviewed and selected from 69 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 and results of the ICBAKE 2025 Workshop.
Inhaltsverzeichnis
.- Keynotes.
.- Data Knowledge Environment and Knowledge Landmarks in Machine
Learning.
.- The fundamentals of Kansei Engineering.
.- Invited Talks.
.- Lightweight AI and Sustainable Generative EasyChairId.
.- A Methodology for Problem Solving Using the Viewpoint of ETT Theory
.- Regular Papers.
.- Biometrics and Pattern Recognition Applications.
.- Driver Anomaly Detection Using 3D Human Pose Estimation.
.- Deep Learning for Automated Detection of Earprint Features.
.- A new image thinning algorithm.
.- Gait-based biometric systems integrating augmented and synthetic
samples.
.- Computer Information Systems and Security.
.- Exploring Public Trust through LLM-Driven Opinion Mining.
.- Blockchain, IPFS, and Encrypted-NFTs: Enhancing Transparency in
Non-Profit Fund Management.
.- Industrial Management and other Applications.
.- Remote Power-On: An IoT Approach to PC Management.
.- A Framework for Developing Smart Mobile Healthcare Companions for
Chronic Diseases Using a Chatbot and Bayesian Reputation Mode.
.- Methodology for Designing a Tourism Recommender System: A Case
Study of an Emerging Tourism Destination in Riohacha, Colombia.
.- Electronic Nose for Classification of Banana Ripeness by Using MLP,
KNN, and SVM Algorith.
.- Machine Learning and Artificial Neural Networks.
.- Using Machine Learning Techniques to Classify Fetal Congenital
Malformations Early.
.- A Hybrid RAG Framework for Bug-to-Feature Mapping.
.- An Integrated Approach for Prototyping and Deploying Large
Language Models.
.- Video Captioning with Spatio-Temporal Graph Transformers.
.- When Humor Crosses the Line: Decoding Offensiveness in Meme-Ads
Through Language Model Reasoning.
.- Breaking Barriers in Fire Detection a Lightweight Model for Forest
Surveillance.
.- Enhancing Sentiment Analysis in Machine Learning with Integration of
Active Learning and Cross-Validation.
.- Deep Hierarchical Attention Mechanism for Cross Domain
Recommendation.
.- Modelling and Optimization.
.- Balancing model inference speed and accuracy in the satellite object
detection task.
.- Generation of Timelines from Event Knowledge Graphs using Domain
Knowledge.
.- Optimizing Kidney Stone Detection: Fusion of CNN and SVM for
Enhanced Performance in Medical Imaging.
.- Enhancing Code Reusability: Mapping ROS Source Code into Behavior
Trees.
.- Performance and energy comparison of selected web request processing
models for reactive and imperative Spring based implementations.
.- Refining Dependency Analysis in Database-Driven Programs using
Abstract Interpretation.
.- Complexity of Area and Performance Estimates of Finite State Machines.
.- HandLe: Mid-air Contactless Haptics for Generation of the Letters on
Human Hand.
.- ICBAKE 2025 Workshop.
.- Investigation of search efficiency of Interactive Genetic Algorithm for
congruent media content of music and mixed arom.
.- Adaptive Music Modulation Based on Body Movement Feedback via
Seat Pressure Sensor.
.- A Methodology of Problem Solving Utilizing the Viewpoint of
Equivalent Transform Thinking Theory.
.- Explore the Timing of Conversational Interventions to Design a System
That Supports Online One-on-One Discussions.
.- Analysis of Impression from Different Elements of the Subject in a
Farmer s Photo on Direct Farm Delivery Comparison of Subjects
Gender, Age, and Facial Expressions.
.- Impact of Design Variable Intensity on Interactive Genetic Algorithm
Search in Beverage Mixing Ratio Optimization.
.- Analysis of Faces and Facial Elements that Make People want to Ask
for Directions.
