Progress in Artificial Intelligence
Springer International Publishing (Verlag)
978-3-030-86229-9 (ISBN)
The 62 full papers and 6 short papers presented were carefully reviewed and selected from a total of 108 submissions. The papers are organized in the following topical sections: artificial intelligence and IoT in agriculture; artificial intelligence and law; artificial intelligence in medicine; artificial intelligence in power and energy systems; artificial intelligence in transportation systems; artificial life and evolutionary algorithms; ambient intelligence and affective environments; general AI; intelligent robotics; knowledge discovery and business intelligence; multi-agent systems: theory and applications; and text mining and applications.
Artificial Intelligence and IoT in Agriculture.- Autonomous Robot Visual-only Guidance in Agriculture using Vanishing Point Estimation.- Terrace Vineyards Detection from UAV Imagery Using Machine Learning: A Preliminary Approach.- Tomato Detection Using Deep Learning For Robotics Application.- Predicting Predawn Leaf Water Potential up to seven days using Machine Learning.- Artificial Intelligence and Law.- Towards Ethical Judicial Analytics: Assessing Readability of Immigration and Asylum Decisions in the United Kingdom.- A comparison of classification methods applied to legal text data.- Artificial Intelligence in Medicine.- Aiding clinical triage with text classification.- A web-based telepsychology platform prototype using Cloud Computing and Deep Learning tools.- Detecting, Predicting, and Preventing Driver Drowsiness with Wrist-Wearable Devices.- The evolution of Artificial Intelligence in Medical Informatics: a bibliometric analysis.- Artificial Intelligence in Power and Energy Systems.- Optimizing Energy Consumption of Household Appliances using PSO and GWO.- Metaheuristics for Optimal Scheduling of Appliances in Energy Efficient Neighbourhoods.- Multitask Learning for Predicting Natural Flows: a Case Study at Paraiba do Sul River.- PV Generation Forecasting Model for Energy Management in Buildings.- Automatic evolutionary settings of machine learning methods for buildings' thermal loads prediction.- Artificial Intelligence in Transportation Systems.- Minimising Fleet Times in Multi-Depot Pickup and Dropo Problems.- Solving a Bilevel Problem with Station Locationand Vehicle Routing using Variable Neighborhood Descent and Ant Colony Optimization.- Artificial Life and Evolutionary Algorithms.- Genetic Programming for Feature Extraction in Motor Imagery Brain-Computer Interface.- FERMAT: Feature Engineering with Grammatical Evolution.- Ambient Intelligence and Affective Environments.- A Reputation Score Proposalfor Online Video Platforms.- A Reinforcement Learning Approach to Improve User Achievement of Health-Related Goals.- Urban Human Mobility modelling and prediction: Impact of Comfort and Well-Being Indicators.- Comparison of Transfer Learning Behavior in Violence Detection with different Public Datasets.- General AI.- Deep neural network architectures for Speech Deception Detection: a brief survey.- 3DSRASG: 3D Scene Retrieval and Augmentation using Semantic Graphs.- Revisiting Recurrent World Models Facilitate Policy Evolution".- Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL.- The DeepONets for finance: An approach to calibrate the Heston Model.- Faster than LASER - Towards Stream Reasoning with Deep Neural Networks.- Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling.- A Chatbot for Recipe Recommendation and Preference Modeling.- Intelligent Robotics.- Exploiting Symmetry in Human Robot-Assisted Dressing using Reinforcement Learning.- I2SL: learn how to swarm autonomous quadrotors using Iterative Imitation Supervised Learning.- Neural network classifier and robotic manipulation for an autonomous industrial cork feeder.- NOPL - Notification Oriented Programming Language - A new Language, and its application to program a robotic soccer team.- Compound Movement Recognition using Dynamic Movement Primitives.- Metaheuristics for the Robot Part Sequencing and Allocation Problem with Collision Avoidance.- Knowledge Discovery and Business Intelligence.- Generalised Partial Association in Causal Rules Discovery.- Dynamic Topic Modeling using Social Network Analytics.- Imbalanced Learning in Assessing the Risk of Corruption in Public Administration.- Modelling voting behaviour during a general election campaign using dynamic Bayesian networks.- ESTHER: A Recommendation System for Higher Education Programs.- A Well Lubricated Machine: A Data Driven Model for Lubricant Oil Conditions.- A Comparisonof
| Erscheinungsdatum | 09.09.2021 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XXX, 803 p. 229 illus., 181 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1258 g |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Schlagworte | Ambient Intelligence • Applications • Artificial Intelligence • Business Intelligence • Communication Systems • Computer Science • conference proceedings • Databases • Data Mining • Deep learning • Informatics • Intelligent Agents • Intelligent Systems • machine learning • Natural Language Processing • Network Protocols • Neural networks • NLP • Research • Semantics • Signal Processing • Telecommunication networks • Telecommunication Systems • wireless telecommunication systems |
| ISBN-10 | 3-030-86229-1 / 3030862291 |
| ISBN-13 | 978-3-030-86229-9 / 9783030862299 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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