1.

Record Nr.

UNINA9911013779303321

Autore

Tisdall, Caroline

Titolo

Futurismo / Caroline Tisdall, Angelo Bozzolla

Pubbl/distr/stampa

Ginevra ; Milano, : Rizzoli-Skira, 2002

ISBN

88-7423-081-8

Descrizione fisica

277 p. : ill. ; 21 cm

Collana

Biblioteca universale Rizzoli Skira ; 4

Altri autori (Persone)

Bozzolla, Angelo

Locazione

DARST

Collocazione

DE FUSCO 639

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Traduzione di Massimo Parizzi



2.

Record Nr.

UNISA996668464303316

Autore

Fujita Hamido

Titolo

Advances and Trends in Artificial Intelligence. Theory and Applications : 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2025, Kitakyushu, Japan, July 1–4, 2025, Proceedings, Part II / / edited by Hamido Fujita, Yutaka Watanobe, Moonis Ali, Yinglin Wang

Pubbl/distr/stampa

Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025

ISBN

981-9688-92-2

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (794 pages)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 15707

Altri autori (Persone)

WatanobeYutaka

AliMoonis

WangYinglin

Disciplina

006.3

Soggetti

Artificial intelligence

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- Robotics.  -- A Novel Task Assignment Strategy for Multi-Robot System.  -- Robotic Path Optimization for Efficient Robot Movement in Harsh Environments.  -- A Hybrid Approach for Path Planning in Harsh Environments Combining WOA and DMSGPSO.  -- Multi-Class Semantic Segmentation of Photovoltaic Module Defects and Features: Towards Industrial Robotic Applications.  -- Transformer-Based UWB Positioning: Learning to Correct Ranging Errors for Autonomous Agents.  -- Collision Detection and Avoidance among SWARM Robots using Convolutional neural network (CNN) in Harsh Environment.  -- Education.  -- Interpretable Machine Learning for Predicting and Explaining Code Submission Outcomes in an Online Judge system.  -- Teaching Practices and Effectiveness Assessment of AI Courses Assisted by Large Language Models.  -- Cyber Security.  -- A Self-Adaptive Multi-Modal Cyber Threat Intelligence Framework for Securing Industrial Communication Networks.  -- RANsomCheck: A CNN-Transformer Model for Malware Detection Based on API Call Sequences.  -- A Comprehensive Survey of Cryptography Key Management in Decentralized Identity Ecosystem.  -- Healthcare and Medical



Applications.  -- Assessment of frailty levels in older adults through smartphone applications.  -- Ranking Lifelogs for Memory Recall Support.  -- An Efficient and Cost-Effective Medicine Reminder and Dispenser System.  -- Comparative Analysis of Large Language Models and Machine Learning Approaches for the Detection of Dengue Fever Information from ProMED-mail Platform.  -- Model-based diagnosis for building systems - results of an initial feasibility study.  -- Leveraging Real-World Data to Predict Macrovascular Complications in Type 2 Diabetes: A Comparative Machine Learning Study.  -- T-test-based Feature Selection on DNA Microarrays Gene Expression Data for Leukemia Classification.  -- MediTHIM: Temporal Hierarchical Imputation Methods for Medical Time Series.  -- IoT system based on deep learning for the identification and feedback of work postures when using a computer.  -- Advanced Applied Intelligence Methodologies and Application.  -- A Novel Score Function for Ranking Interval-Valued Intuitionistic Fuzzy Values.  -- BF-YOLOv7: Enhancing Helmet Rule Violation Detection.  -- A Smartphone-based Early Detection and Remote Consultation System for Stroke and Dementia.  -- Implementation of a One-Time Random Number Generation Mechanism for Zero-Trust Networks with IoT Transmission Verification.  -- Adaptive DRL-Based Traffic Signal Control with an Infused LSTM Prediction Model.  -- A Fast R1CS Normalization Method Based on Parameter Vectors.  -- Effective Virtual Force Estimation with Semi-Parametric Joint Friction Compensation for Robot Manipulators.  -- Enhancing Traffic Accident Detection with YOLOv5 in Smart City Road Monitoring.  -- Intelligent Systems and e-Applications.  -- Improving University Quality from Student Feedback with Sentiment Analysis.  -- Fusion in Multimodal Sentiment Analysis: A Review of Approaches and Challenges.  -- Multimodal Sarcasm Detection On Vietnamese Social Media.  -- Fine-grained WEEE Product Retrieval Using Hybrid Search and Re-ranking.  -- A Hybrid Knowledge-Based and Machine Learning Approach for Financial Health Prediction in Small and Medium-sized Enterprises.  -- Enhancing Ransomware Detection Using Deep Learning Models.  -- CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection.  -- Industrial and Engineering Applications.  -- Using Meta-Learning to Predict Work-in-Progress: An Approach for Small Datasets.  -- Evaluating Large Language Models for the Automated Generation of Software Requirements.  -- Establishing the subscription service strategies for digital music services using the DAA-NRM approach.  -- Multi-Objective Energy-Efficient Scheduling in Two Stages Hybrid Flowshop under Consideration of No-wait.  -- Beyond Air Pollution Prediction: A Step to Pollution Pattern Discovery With A Novel Binary Neuro-symbolic AI Framework .  -- A Dual-Agent Framework for Condition-Based Maintenance of Production Systems.  -- MST-SGAN-KGQA: An Approach for Industrial Knowledge Graph Quality Assessment.  -- Adversarial Learning Based Error Detection for Industrial Knowledge Graphs.  -- Development and Performance Evaluation of a Wiring Safety Detector for Electrical Sockets in Buildings.

Sommario/riassunto

This book constitutes the refereed proceedings of the 38th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems on Advances and Trends in Artificial Intelligence, IEA/AIE 2025, held in Kitakyushu, Japan, in July 1–4, 2025. The 80 full papers and 9 short papers included in this book were carefully reviewed and selected from 130 submissions. They focus on the following topical sections: Part I: Reinforcement Learning; Optimization; Natural Language Processing; Multi-Agent; Machine Learning and Decision Making; Knowledge Representation; Data



Engineering; Large Language Model; Computer Vision. Part II: Robotics; Education; Cyber Security; Healthcare and Medical Applications; Advanced Applied Intelligence Methodologies and Applications; Intelligent Systems and e-Applications; Industrial and Engineering Applications.