|Total results: 29||
|Exploring Innovative and Successful Applications of Soft Computing
Antonio D. Masegosa, Pablo J. Villacorta, Carlos Cruz-Corona, M. Socorro García-Cascales, María T. Lamata, José L. Verdegay.
The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields.
Exploring Innovative and Successful Applications of Soft Computing highlights the applications...
Global Trends in Intelligent Computing Research and Development
B.K. Tripathy, D. P. Acharjya.
As the amount of accumulated data across a variety of fields becomes harder to maintain, it is essential for a new generation of computational theories and tools to assist humans in extracting knowledge from this rapidly growing digital data.
Global Trends in Intelligent Computing Research and...
Handbook of Research on Computational Intelligence for Engineering, Science, and Business
Siddhartha Bhattacharyya, Paramartha Dutta.
Using the same strategy for the needs of image processing and pattern recognition, scientists and researchers have turned to computational intelligence for better research throughputs and end results applied towards engineering, science, business and financial applications. Handbook of Research on...
Intelligent Techniques in Recommendation Systems: Contextual Advancements and New Methods
Satchidananda Dehuri, Manas Ranjan Patra, Bijan Bihari Misra, Alok Kumar Jagadev.
Although recommendation systems have become a vital research area in the fields of cognitive science, approximation theory, information retrieval and management sciences, they still require improvements to make recommendation methods more effective and intelligent. Intelligent Techniques in...
Advances in Abstract Intelligence and Soft Computing
Continuous developments in software and intelligence sciences have brought together the studies of both natural and machine intelligence and the relationship between the function of the brain and the abstract soft mind; creating a new multidisciplinary field of study. Advances in Abstract Intelligence...
Efficiency and Scalability Methods for Computational Intellect
Boris Igelnik, Jacek M. Zurada.
Computational modeling and simulation has developed and expanded into a diverse range of fields such as digital signal processing, image processing, robotics, systems biology, and many more; enhancing the need for a diversifying problem solving applications in this area. Efficiency and Scalability...
Machine Learning: Concepts, Methodologies, Tools and Applications
Information Resources Management Association.
Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries...
Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis
Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and...
Breakthroughs in Software Science and Computational Intelligence
As both intelligence and software science revolutionizes the modern world, the contributions that each make to the other combine into a new transdisciplinary field. Breakthroughs in Software Science and Computational Intelligence charts the new ground broken by researchers exploring these two...
Logistics Management and Optimization through Hybrid Artificial Intelligence Systems
Carlos Alberto Ochoa Ortiz Zezzatti, Camelia Chira, Arturo Hernandez, Miguel Basurto.
Hybrid Artificial Intelligent Systems (HAIS) try to deal with the complexity of real world phenomena using a multidisciplinary approach and a plurality of techniques. Logistics Management and Optimization through Hybrid Artificial Intelligence Systems offers the latest research within the field of...
Software and Intelligent Sciences: New Transdisciplinary Findings
The junction of software development and engineering combined with the study of intelligence has created a bustling intersection of theory, design, engineering, and conceptual thought. Software and Intelligent Sciences: New Transdisciplinary Findings sits at a crossroads and informs advanced...
Medical Applications of Intelligent Data Analysis: Research Advancements
Rafael Magdalena-Benedito, Emilio Soria-Olivas, Juan Guerrero Martínez, Juan Gómez-Sanchis, Antonio Jose Serrano-López.
One major challenge facing modern medicine is to fulfill the promise and potential of the enormous increase in medical data sets of all kinds. Medical Applications of Intelligent Data Analysis: Research Advancements explores the potential of utilizing this medical data through the implementation of...
Intelligent Data Analysis for Real-Life Applications: Theory and Practice
Rafael Magdalena-Benedito, Marcelino Martínez-Sober, José María Martínez-Martínez, Joan Vila-Francés, Pablo Escandell-Montero.
With the recent and enormous increase in the amount of available data sets of all kinds, applying effective and efficient techniques for analyzing and extracting information from that data has become a crucial task. Intelligent Data Analysis for Real-Life Applications: Theory and Practice investigates...
Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques
Emilio Soria Olivas, José David Martín Guerrero, Marcelino Martinez-Sober, Jose Rafael Magdalena-Benedito, Antonio José Serrano López.
The machine learning approach provides a useful tool when the amount of data is very large and a model is not available to explain the generation and relation of the data set. The Handbook of Research on Machine Learning Applications and Trends: Algorithms, Methods, and Techniques provides a set of...
Machine Learning Methods for Commonsense Reasoning Processes: Interactive Models
The reduction of machine learning algorithms to commonsense reasoning processes is now possible due to the reformulation of machine learning problems as searching the best approximation of a given classification on a given set of examples. Machine Learning Methods for Commonsense Reasoning Processes...
Soft Computing Methods for Practical Environment Solutions: Techniques and Studies
Marcos Gestal Pose, Daniel Rivero Cebrián.
Nature provides inspiration and guidance in the creation of techniques, applications and new technologies in the fields of Artificial Intelligence and Soft Computing. Soft Computing Methods for Practical Environment Solutions: Techniques and Studies presents various practical applications of Soft...
Computational Intelligence in Archaeology
Juan A. Barcelo.
The vast quantity of archaeological data coming from excavations is now well beyond the traditional data processing tools. Computational archaeology creates an exhaustive analysis of technical and analytical needs in the archaeological sciences. Computational Intelligence in Archaeology provides...
International Journal of Software Science and Computational Intelligence (IJSSCI)
The latest developments in computer science, theoretical software engineering, cognitive science, cognitive informatics, and intelligence science, and the crystallization of accumulated knowledge by the fertilization of these areas, have led to the emergence of a transdisciplinary and convergence field...