Advances in Computing
Springer International Publishing (Verlag)
978-3-031-75232-2 (ISBN)
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This two-volume set CCIS 2208-2209 constitutes revised selected papers from the refereed proceedings of the 18th Colombian Congress on Computing, CCC 2024, held in Manizales, Colombia, during September 4-6, 2024.
The 50 full papers and 5 short papers included in this book were carefully reviewed and selected from 124 submissions. They were organized in topical sections as follows: Artificial Intelligence; Pattern recognition and computer vision; Computational statistics and formal methods; Cyber security and information security; Data, information and knowledge; ICT for education and e-Learning; Industry 4.0 and digital transformation; Software engineering and automation.
.- Artificial Intelligence.
.- Neuropathic Pain Detection through Embedding Synergies of Deep Language and Image Models.
.- Detection of depressive symptomatology in written narratives in Spanish using machine learning and semantic ontology.
.- Unveiling Tourist Profiles in the Department of Sucre: A Text Analysis Approach.
.- Ethical norms and literary visions: A comparative analysis of Artificial Intelligence in regulatory frameworks and science fiction.
.- Application of Artificial Intelligence to Stock Market Investments: RSI Analysis with Genetic Algorithms and Neural Networks.
.- A Study of U-Net-based Architectures for Segmenting COVID-19 Lung Lesions.
.- Hyperparameter Optimization of Multi-Layer Perceptron-based Predictors.
.- Emotional BDI Model (eBDI) of the Peasants Families WellProdSim Social Simulator.
.- Pattern recognition and computer vision.
.- Analysis of Pre-Trained Convolutional Neural Network Models in Diabetic Macular Edema Detection Through Retinal Fundus Images.
.- Gaussian Mixture Connectivity with Alpha-Renyi Regularization for EEG-based MI Classification.
.- Optimisation of User Interaction for the Calculation of the Cobb Angle in Lumbar Spine MR Images.
.- Implementation of Convolutional Neural Networks for Automated Disease Detection in Cucumber Crops.
.- Automatic Disease Detection in Physalis Peruviana Based on Image, a review systematic.
.- Computational statistics and formal methods.
.- On missing values and the imputation in learning neural networks.
.- Formalisation of Hall's Theorem for Countable Infinite Graphs.
.- Efficient Strategies for Finding the Minimum Information Partition in Integrated Information Theory 3.0.
.- Decomposition models for agricultural commodity price time series: A comparative research.
.- Cyber security and information security.
.- Feature Selection in Machine Learning-Based IDS Performance.
.- Exploring Advanced Deep Learning Methods for Image Steganography: New Approaches to Concealing Videos Within Videos.
.- Automated Machine Learning Prototype for Detecting Phishing, Deepfakes, and Fraudulent Audio Patterns: A Systematic Literature Mapping.
.- Entropy wall for symmetric cryptographic key generation through frame processing.
.- Transparency and security in tourism: exploring the potential of blockchain technology.
.- Vulnerability analysis of IoT devices (IP cameras) in Oca na Norte de Santander.
.- Safeguarding Connected Autonomous Vehicles: A Cybersecurity Perspective.
| Erscheint lt. Verlag | 24.1.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XIV, 362 p. 127 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Artificial Intelligence • Communication Systems • Computer Networks • Computer Security • computer vision • Data Security • Deep learning • distributed computer systems • E-Learning • formal methods • Human-Computer Interaction (HCI) • information systems • machine learning • software and its engineering |
| ISBN-10 | 3-031-75232-5 / 3031752325 |
| ISBN-13 | 978-3-031-75232-2 / 9783031752322 |
| Zustand | Neuware |
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