Swarm Intelligence: Trends and Applications

ISBN-13: 9781032039961 / Angielski / Miękka / 2022 / 250 str.

Pinheiro Dos Santos, Wellington

Opis

In this approach it seeks to present both solid and comprehensive theoretical foundations and examples using the main Computational Intelligence libraries, in programming languages such as Python and R. Real world applications have also been provided in areas as diverse as medicine, biology and industrial applications.

Spis treści

SECTION 1: FUNDAMENTALS AND ADVANCEMENTS ON SWARM INTELLIGENCE  1. Swarm Intelligence Based Algorithm for Feature Selection in High-Dimensional Datasets  2. Swarm Intelligence for Data Mining  3. Leveraging Center-Based Sampling Theory for Enhancing Particle Swarm Classification of Textual Data  4. Reinforcement Learning for Out-of-the-box Parameter Control for Evolutionary and Swarm-based Algorithm SECTION 2: APPLICATIONS  5. Recognition of Emotions in the Elderly Through Audio Signal Analysis  6. Recognition of Emotions in the Elderly through Facial Expressions: A Machine Learning-Based Approach  7. Identification of Emotion Parameters in Music to Modulate Human Affective States  8. Clinical Decision Support in the Care of Symptomatic Patients with COVID-19: An Approach Based on Machine Learning and Swarm Intelligence  9. The Sound of the Mind: Detection of Common Mental Disorders Using Vocal Acoustic Analysis and Machine Learning