Artificial Intelligence Applications and Innovations

📘 About This Book

This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016.The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text mining, and Web-social media data AI modeling.

📖 Summary

Artificial Intelligence Applications and Innovations, edited by Lazaros Iliadis, serves as a comprehensive collection of refereed proceedings from the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, known as AIAI 2016. Held in Thessaloniki, Greece, in September 2016, this significant academic gathering brought together leading minds to explore the cutting edge of computational intelligence. Alongside the main conference proceedings, the 711-page volume incorporates the results of three specialized parallel workshops, creating a multifaceted resource for computer scientists, researchers, and engineers interested in the practical deployment of intelligent systems. The primary conference component features a meticulously curated selection of papers. Out of sixty-five initial submissions, thirty revised full papers and eight short papers successfully underwent rigorous peer review to earn a place in the publication. These contributions reflect the vast breadth of the modern artificial intelligence landscape, touching upon foundational concepts such as artificial neural networks and their modern iterations. They demonstrate how theoretical models are translated into functional applications designed to solve complex, real-world problems across multiple domains. In addition to the core conference material, the book documents the insights generated during three distinct parallel workshops that addressed emerging technological frontiers. The Third Workshop on New Methods and Tools for Big Data contributed advanced strategies for processing, analyzing, and extracting value from massive datasets. The Fifth Mining Humanistic Data Workshop explored innovative computational techniques for understanding human-centric, cultural, and qualitative information through quantitative lenses. Meanwhile, the First Workshop on 5G - Putting Intelligence to the Network Edge addressed the convergence of fifth-generation telecommunications infrastructure and localized data processing, highlighting the critical shift toward distributed intelligence. Across these workshops, an additional seventeen revised full papers and seven short papers were selected from thirty-three submissions, further enriching the scholarly value of the text. The collective body of work contained within this volume illustrates the rapid evolution of artificial intelligence as a multidisciplinary field. It bridges the gap between raw computational power and practical innovation, offering readers a detailed snapshot of the methodologies, algorithms, and architectures that defined the state of the art during the mid-2010s. By capturing both broad conference themes and specialized workshop discussions, the book provides a thorough examination of how intelligent systems continue to adapt to new data paradigms, network architectures, and humanistic challenges.

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