The PAAI 2018 special session provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence for developing predictive models for different engineering applications. Artificial Intelligence models are efficient for handing complex prediction models due to their outstanding performance in handling large scale datasets with uniform characteristics and noisy data. Examples of PAAI 2018 topics of interest include building predictive models using Machine Learning to solve specific engineering problems such as regression and classification problems.

The aim of this work is to obtain a good perspective into the current state of practice of Artificial Intelligence to address various predictive problems. Some topics relevant to this session include, but are not limited to:

Biomedical image analysis/processing
Clustering
Decision Support
Support Vector Machine
Time Series
Decision Trees
Fuzzy Logic & Systems
Probabilistic Reasoning
Lazy Learning
Classification
Recommender Systems
Expert Systems
Artificial Neural Networks
Evolutionary Algorithms
Ranking Algorithms
Cognitive Processes
Evolutionary Computing
Swarm Intelligence
Artificial Immune Systems
Markov Model
Chaos Theory
Multi-Valued Logic
Ensemble Techniques
Hybrid Intelligent Models
Reasoning Models

Applied to:

Health Care Applications
Education
Cyber Security
Software Process and Performance
Software Cost Estimation
Software Reliability
Software Risk Management
Software Quality and Testing
Cloud Computing
Social Media
Business Applications
Sale Forecasting
Stock Market Forecasting
Weather Predictions
Bio-Medical Applications
Big data Applications
Intelligent Traffic Management
Image Processing
E-Government
Nuclear Engineering
Sustainable and Renewable Energy
Software Engineering
Biomedical Engineering
Mechanical Engineering
Civil Engineering
Electrical Engineering
Computer Engineering
Chemical Engineering
Industrial Engineering
Environmental Engineering