Hybrid Artificial Intelligent Systems
Springer International Publishing (Verlag)
978-3-030-86270-1 (ISBN)
The 44 full and 11 short papers presented in this book were carefully reviewed and selected from 81 submissions. The papers are grouped into these topics: data mining, knowledge discovery and big data; bio-inspired models and evolutionary computation; learning algorithms; visual analysis and advanced data processing techniques; machine learning applications; hybrid intelligent applications; deep learning applications; and optimization problem applications.
Data Mining, Knowledge Discovery and Big Data.- Document Similarity by Word Clustering with Semantic Distance.- PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections.- Content-based authorship identification for short texts in Social Media Networks.- A Novel Pre-processing Method for Enhancing Classification Over Sensor Data Streams Using Subspace Probability Detection.- Bio-inspired Models and Evolutionary Computation.- Remaining Useful Life Estimation Using a Recurrent Variational Autoencoder.- Open-ended Learning of Reactive Knowledge in Cognitive Robotics based on Neuroevolution.- Managing gene expression in evolutionary algorithms with gene regulatory networks.- Evolutionary Optimization of Neuro-symbolic Integration for Phishing URL Detection.- Interurban Electric Vehicle Charging Stations through Genetic Algorithms.- An Effective Hybrid Genetic Algorithm for Solving the Generalized Traveling Salesman Problem.- A Simple Genetic Algorithm for the Critical Node Detection Problem.- Learning Algorithms.- Window Size Optimization for GaussianProcesses in Large Time Series Forecasting.- A binary classification model for toxicity prediction in drug design.- Structure Learning of High-Order Dynamic Bayesian Networks via Particle Swarm Optimization with Order Invariant Encoding.- Prototype Generation for Multi-label Nearest Neighbours Classification.- Learning Bipedal Walking Through Morphological Development.- Ethical Challenges from Artificial Intelligence to Legal Practice.- Visual Analysis and Advanced Data Processing Techniques.- Classification of burrs using contour features of image in milling workpieces.- Adaptive Graph Laplacian for Convex Multi-Task Learning SVM.- Fight detection in images using postural analysis.- Applying Vector Symbolic Architecture and Semiotic Approach to Visual Dialog.- Transfer Learning study for horses breeds images datasets using pre-trained ResNet Networks.- Machine Learning Applications.- Fraudulent e-commerce websites detection through machine learning.- More Interpretable Decision Trees.- Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.- Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-ray Case Study.- Hybrid Intelligent Applications.- Speech emotion recognition by conventional machine learning and deep learning.- Predictive Maintenance of Vehicle Fleets using Hierarchical Modified Fuzzy Support Vector Machine for Industrial IoT Datasets.- Super Local Models for Wind Power Detection.- A Comparison of Blink Removal Techniques in EEG signals.- Hybrid intelligent model for switching modes classification in a half-bridge buck converter.- Hybrid model to calculate the State Of Charge of a battery.- Distance Metric Learning with Prototype Selection for Imbalanced Classification.- Enhancing Place Inference via Fuzzy Ranking Using Fuzzy Similarity and Agreeability.- A Hybrid Intelligent System to Detect Anomalies in Robot Performance.- Counter intuitive COVID-19 propagation dynamics in Brazil.- A Hybrid Bio-inspired Tabu Search Clustering Approach.- A Non-parametric Fisher Kernel.- Deep Learning Applications.- Hybrid deep learning approach for efficient outdoor parking monitoring in smart cities.- Personal cognitive assistant: personalization and action scenarios expansion.- Nowcasting for Improving Radon-222 Forecasting at Canfranc Underground Laboratory.- Analysis of the seasonality in a geothermal system using projectionist and clustering methods.- A model-based deep transfer learning algorithm for phenology forecasting using satellite imagery.- Deep Transfer Learning for interpretable Chest X-Ray diagnosis.- Companion Losses for Deep Neural Networks.- Financial Forecasting viaDeep-Learning and Machine-Learning Tools over Two-Dimensional Objects Transformed from Time Series.- A preliminary analysis on software frameworks for the development of spiking neural networks.- Edge AI for Covid-19 detection using coughing.- Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants.- A hybrid post-hoc interpretability approach for deep neural networks.- Deep Learning Applications on Cybersecurity.- Optimization Problem Applications.- A Parallel Optimization Solver for the Multi-period WDND problem.- Waste Collection Vehicle Routing Problem using filling predictions.- Optimization of Warehouse Layout for the minimization of operation times.- Simple meta-optimization of the feature MFCC for public Emotional datasets classification.
| Erscheinungsdatum | 08.09.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVI, 673 p. 221 illus., 161 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1044 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Sozialwissenschaften | |
| Schlagworte | Applications • Artificial Intelligence • classification • Computer Science • computer vision • conference proceedings • Correlation Analysis • Data Mining • Deep learning • evolutionary algorithms • Fuzzy Systems • Genetic algorithms • Hybrid Intelligent Systems • Image Analysis • Image Processing • Industrial Applications • Informatics • machine learning • Network Protocols • Neural networks • Research • Signal Processing |
| ISBN-10 | 3-030-86270-4 / 3030862704 |
| ISBN-13 | 978-3-030-86270-1 / 9783030862701 |
| Zustand | Neuware |
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