Distributed Computing and Artificial Intelligence 20th International Conference 1st Edition by Sascha 9783031383335 3031383338

Distributed Computing and Artificial Intelligence 20th International Conference 1st Edition Sascha Ossowski – Ebook Instant Download/Delivery ISBN(s): 9783031383335, 3031383338

Product details:

• ISBN 10:3031383338
• ISBN 13:9783031383335
• Author: Sascha 

Distributed Computing and Artificial Intelligence, 20th International Conference
The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly “wide area network” of research activity. The DCAI 23 technical program has selected 36 full papers in the main track and, as in past editions, there will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute).
This is a digital product.
Subjects
Computers,
Intelligence (AI) & Semantics
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Table contents:

Front Matter
Time-Series Modeling for Intrusion Detection Systems
Estimation of Occlusion Region Using Image Completion by Network Model Consisting of Transformer and U-Net
Operation of a Genetic Algorithm Using an Adjustment Function
CUBA: An Evolutionary Consortium Oriented Distributed Ledger Byzantine Consensus Algorithm
From Data to Action: Exploring AI and IoT-Driven Solutions for Smarter Cities
Adaptive Learning from Peers for Distributed Actor-Critic Algorithms
Detection of Infostealer Variants Through Graph Neural Networks
Activity Classification with Inertial Sensors to Perform Gait Analysis
Guided Rotational Graph Embeddings for Error Detection in Noisy Knowledge Graphs
Distributed Control for Traffic Light in Smart Cities: Parameters and Algorithms
Using Data Analytic for Social Media Posts to Optimise Recyclable Solid Waste Management Exemplary at the City of Valencia
Detection of Human Falls via Computer Vision for Elderly Care – An I3D/RNN Approach
Generic Architecture for Multisource Physiological Signal Acquisition, Processing and Classification Based on Microservices
A Novel System Architecture for Anomaly Detection for Loan Defaults
Enabling Distributed Inference of Large Neural Networks on Resource Constrained Edge Devices using Ad Hoc Networks
Using Neural Network to Optimize Bin-Picking in the SME Manufacturing Digital Transformation
Neural Architecture Search: Practical Key Considerations
Leveraging Smart City Services for Citizen Benefits Through a Unified Management Platform
Step-Wise Model Aggregation for Securing Federated Learning
Federated Genetic Programming: A Study About the Effects of Non-IID and Federation Size
Cognitive Reinforcement for Enhanced Post Construction Aiming Fact-Check Spread
Chatbot Architecture for a Footwear E-Commerce Scenario
A Geolocation Approach for Tweets Not Explicitly Georeferenced Based on Machine Learning
Classification of Scenes Using Specially Designed Convolutional Neural Networks for Detecting Robotic Environments
AMIR: A Multi-agent Approach for Influence Detection in Social Networks
Extracting Knowledge from Testaments – An Ontology Learning Approach
AI-Based Platform for Smart Cities Urban Infrastructure Monitorization
Bitcoin Price Prediction Using Machine Learning and Technical Indicators
RKTUP Framework: Enhancing Recommender Systems with Compositional Relations in Knowledge Graphs
A Classification Method for “Kawaii” Images Using Four Feature Filters
Exploring Dataset Patterns for New Demand Response Participants Classification
Federated Learning of Explainable Artificial Intelligence (FED-XAI): A Review
Introduction to the Extended Reality as a Teaching Resource in Higher Education
Analysis of the Development Approach and Implementation of the Service Tokenization Project. Hoteliers Project Ocean Blue Corp – Hotel Best Wester Quito- Ecuador City and Beach
Implementing a Software-as-a-Service Strategy in Healthcare Workflows
Recognizing Emotions from Voice: A Prototype

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