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Applied Intelligence and Informatics : Second International Conference, AII 2022, Reggio Calabria, Italy, September 1-3, 2022, Proceedings / edited by Mufti Mahmud, Cosimo Ieracitano, M. Shamim Kaiser, Nadia Mammone, Francesco Carlo Morabito.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1724
- Communications in Computer and Information Science, 1865-0937 ; 1724
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Social sciences-Data processing.
- Education-Data processing.
- Image processing-Digital techniques.
- Computer vision.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Physical Description:
- 1 online resource (XIV, 548 pages) : 187 illustrations
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the Second International Conference on Applied Intelligence and Informatics, AII 2022, held in Reggio Calabria, Italy, during September 1-3, 2022. The 38 full papers included in this book were carefully reviewed and selected from 108 submissions. They were organized in topical sections as follows: Emerging Applications of AI and Informatics; Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security, and Analytics.
- Contents:
- Track 1: Emerging Applications of AI and Informatics
- A hybrid speed and radial distance feature descriptor using optical flow approach in HAR
- Innovative Soft Computing Techniques for the Evaluation of the Mechanical Stress State of Steel Plates
- An Indirect Approach to Forecast Produced Power on Photovoltaic Plants under Uneven Shading Conditions
- An FPGA-based Hardware Accelerator for the k-Nearest Neighbor Algorithm Implementation in Wearable Embedded Systems
- Designing Low-Power and High-Speed FPGA-based Binary Decision Tree Hardware Accelerators
- MEMS and AI for the Recognition of Human Activities on IoT Platforms
- Tackling the Linear Sum Assignment Problem with Graph Neural Networks
- A Non-Parametric Model for Forecasting Life Expectancy at Birth Using Gaussian Process
- Optimized Layout: A Genetic Algorithm for Industrial and Business Application
- Track 2: Application of AI and Informatics in Healthcare
- Explainable Deep Learning for Alzheimer Disease Classification and Localisation
- ML-based Radiomics analysis for Breast Cancer classification in DCE-MRI
- Decoding motor preparation through a deep learning approach based on EEG time-frequency maps
- A Novel Fuzzy Semi-supervised Learning Approach for the Classification of Colorectal Cancer (FSSL-CRCC)
- The Effect of Drug on Neonatal-ICU Length of Stay: A Machine Learning Approach to Analyze
- iConDet2: An Improved Conjunctivitis Detection Portable Healthcare App Powered by Artificial Intelligence
- Ensemble Classifiers for a 4-way Classification of Alzheimer's Disease
- Identification of Crown and Rump in First-Trimester Ultrasound Images using Deep Convolutional Neural Network
- A Pyramidal Approach for Emotion Recognition from EEG Signals
- Evaluation of Galvanic Skin Response (GSR) Signals Features for Emotion Recognition
- Track 3: Application of AI and Informatics in Pattern Recognition
- A Privacy-Preserving Federated-MobileNet for Facial Expression Detection from Images
- Television programs classification via Deep Learning using SSMI-CCN
- A Hybrid Deep Learning System to detect face-mask and monitor social distance
- Handwriting and Drawing for Depression Detection: A Preliminary Study
- Identifying synthetic voices qualities for conversational agents
- Identifying Colluding Actors in Social Communities by Reputation Measures
- Weakly Supervised Transfer Learning for Multi-label Appliance Classification
- Toward an Interoperable Catalogue of Multimodal Depression-related Data
- Explainable deep learning classification of respiratory sound for telemedicine applications
- Nonexclusive Classification of Household Appliances by Fuzzy Deep Neural Networks
- Applied Enhanced Q-NAS for COVID-19 Detection in CT Images
- Track 4: Application of AI and Informatics in Network, Security, and Analytics
- Beware the Sirens: Prototyping an Emergency Vehicle Detection System for Smart Cars
- Indoor Positioning and Navigation using Bluetooth Low Energy and Cloud Service in Healthcare Perspective
- Science Parks externalities on financial performance of small firms through business intelligence tools
- A novel approach to identifying DDoS traffic in the Smart Home network via Exploratory Data Analysis
- A Novel Framework to Detect Anomalous Nodes to Secure Wireless Sensor Networks
- A graph-based approach to detect anomalies based on shared attribute values.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-24801-6
- 9783031248016
- Access Restriction:
- Restricted for use by site license.
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