Bücher der Reihe De Gruyter Frontiers in Computational Intelligence

This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

International experts discuss different hybrid metaheuristic techniques to analyze images in depth. The hybrid metaheuristic approach delivers efficient methods of image analysis especially useful for industrial research. The book illustrates the most recent trends by addressing diversified problems of image analysis such as image enhancement or digital watermarking.

After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.

Machine learning is a way to infuse intelligence in data analytics. This volume is intended to give a bird¿s eye view of the latest trends in computationally intelligent algorithms and devices helpful for the mankind. This volume would benefit engineering students, tutors, research scholars and entrepreneurs with enriched interdisciplinary approaches to find new ways of applications in machine learning.

This volume showcases the latest developments in deep learning research, examining the theoretical foundations and relevant applications. Deep learning intends to align machine learning with artificial intelligence. It was developed to deal with complex input-output mappings and captures composite relations between almost all real-world problems.