50,482 resources related to Computational Intelligence
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.
ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
The IEEE Computational Intelligence Magazine (CIM) publishes peer-reviewed articles that present emerging novel discoveries, important insights, or tutorial surveys in all areas of computational intelligence design and applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
2014 Innovative Applications of Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014
In the society that we live today, the requirements for a higher education graduate to step into the professional world have become quite complex. The basic knowledge can be achieved by following the curriculum, but the skills, practice and experience can only be gained through active participation in extra-curricular activities. Such activities assists the student in taking responsibility of their ...
2007 International Symposium on Computational Intelligence and Intelligent Informatics, 2007
Intelligent control for 5 phase stepping motors is presented based on computational intelligence technology. It enables to divide each revolution/rotation into 5 million equiangular positions by keeping normal speed, torque, low vibration, small heat loss, and low electric power consumption. The products are now being released in the real market. The outline of the algorithm is mentioned with several experimental ...
Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694), 2003
The ultimate goal of rehabilitation for the elderly and people with disabilities is not to recover their lost functions, but to make them happy. Self-determination is most important for this purpose. For example, most tetraplegics want to be able to feed by themselves, because a satisfactory meal improves the quality of their lives. If computational intelligence could perform the task ...
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008
The NetFlix Prize is a research contest that will award $1 Million to the first group to improve NetFlixpsilas movie recommendation system by 10%. Contestants are given a dataset containing the movie rating histories of customers for movies. From this data, a processing scheme must be developed that can predict how a customer will rate a given movie on a ...
IEEE Computational Intelligence Magazine, 2006
In this paper, we visualize the structure and the evolution of the computational intelligence (CI) field. Based on our visualizations, we analyze the way in which the CI field is divided into several subfields. The visualizations provide insight into the characteristics of each subfield and into the relations between the subfields. By comparing two visualizations, one based on data from ...
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Using Computational Intelligence to automate Craniofacial Superimposition for Skeleton-based Human Identification
Gary P. Fogel: Applications of Computational Intelligence in Biomedicine
Interview with Jerry Mendel, 2012: CIS Oral History Project
Interview with Ron Yager, 2016: CIS Oral History Project
Interview with Bart Kosko, 2012: CIS Oral History Project
Interview with Shun'ichi Amari, 2014: CIS Oral History Project
Some Recent Work in Computational Intelligence for Software Engineering
Interview with Kalyanmoy Deb, 2015: CIS Oral History Project
Interview with Kunihiko Fukushima, 2015: CIS Oral History Project
Interview with Erkki Oja, 2015: CIS Oral History Project
Computational Intelligence in (e)Healthcare - Challenges and Opportunites
Interview with Laszlo Koczy, 2016: CIS Oral History Project
Interview with David Fogel, 2016: CIS Oral History Project
Interview with Teuvo Kohonen, 2015: CIS Oral History Project
Interview with Bob Marks, 2012: CIS Oral History Project
Interview with Jun Wang: CIS Oral History Project
Interview with Bernard Widrow, 2013: CIS Oral History Project
Interview with Donald Wunsch, 2012: CIS Oral History Project
In the society that we live today, the requirements for a higher education graduate to step into the professional world have become quite complex. The basic knowledge can be achieved by following the curriculum, but the skills, practice and experience can only be gained through active participation in extra-curricular activities. Such activities assists the student in taking responsibility of their future and making right decisions. These activities make one stand out of the herd and be recognized as everyone is imparted the same level of knowledge relating to his/her particular field. The industry requires people who are adept at a variety of things and are not limited to a particular chore only. Data for this research was collected from an aptitude test and the academic curriculum of students in a particular semester. Computational intelligence was employed for determination and analysis of the relationship between the chosen parameters (aptitude, GPA etc.) and data collected from students participating in extra-curricular activities conducted in the same semester. We have observed that Computational Intelligence has provided a higher degree of accuracy in our recent research works. This paper proposes the effects of extra-curricular activities in the overall growth of a student.
Intelligent control for 5 phase stepping motors is presented based on computational intelligence technology. It enables to divide each revolution/rotation into 5 million equiangular positions by keeping normal speed, torque, low vibration, small heat loss, and low electric power consumption. The products are now being released in the real market. The outline of the algorithm is mentioned with several experimental results by using DVD demonstration. The stepping motors are used in a part of the on going "Mascot Robot" project included in "Development Project for a Common Basis of Next-Generation Robots" sponsored by NEDO (New Energy and industrial technology Development Organization, Japan), i.e., the nano drive controlled stepping motors are used to develop a mobile part. Its design-concept is also introduced by using DVD video images.
The ultimate goal of rehabilitation for the elderly and people with disabilities is not to recover their lost functions, but to make them happy. Self-determination is most important for this purpose. For example, most tetraplegics want to be able to feed by themselves, because a satisfactory meal improves the quality of their lives. If computational intelligence could perform the task perfectly as they pleased, it could make them happy. However, a simple tool without intelligence, operated by them, can realize a better quality of life than state-of-the-art imperfect computational intelligence. Contrary to this, such individuals do not want to wash dishes by themselves. An automatic system with computational intelligence would be useful in this case. It could affect people with mental problems positively or negatively according to the circumstances. Computational intelligence should only be used when it can improve the quality of their lives overall.
The NetFlix Prize is a research contest that will award $1 Million to the first group to improve NetFlixpsilas movie recommendation system by 10%. Contestants are given a dataset containing the movie rating histories of customers for movies. From this data, a processing scheme must be developed that can predict how a customer will rate a given movie on a scale of 1 to 5. An architecture is presented that utilizes the fuzzy-adaptive resonance theory clustering method to create an interesting set of data attributes that are input to a neural network for mapping to a classification.
In this paper, we visualize the structure and the evolution of the computational intelligence (CI) field. Based on our visualizations, we analyze the way in which the CI field is divided into several subfields. The visualizations provide insight into the characteristics of each subfield and into the relations between the subfields. By comparing two visualizations, one based on data from 2002 and one based on data from 2006, we examine how the CI field has evolved over the last years. A quantitative analysis of the data further identifies a number of emerging areas within the CI field. The data that we use consist of the abstracts of the papers presented at the IEEE World Congress on Computational Intelligence (WCCI) in 2002 and 2006. Using a fully automatic procedure, so-called concept maps are constructed from the data. These maps visualize the associations between the main concepts in the CI field. Our analysis of the structure and the evolution of the CI field are largely based on the constructed concept maps
Teaching computational intelligence (CI) to undergraduate and/or graduate students is challenging because the theories are difficult and they feel that the topics are not closely related to their lives. It is desirable to use interesting projects to attract students' attention into the computational intelligence. CI educators have been used different types of tools to define course projects for students. There are no standard course materials on the projects, hence each instructor develops his/her own projects by oneself, making it difficult to share them. Furthermore, if the projects are dependent on special hardware or software, it often becomes a bottleneck on the dissemination of the materials.
Prof. Yao, a Professor of Computer Science at the University of Birmingham, UK, whose works have won numerous awards, has served in various executive positions in IEEE CIS and other organizations for many years. Growing up in Fuzhou, Fujian Province in Southeast China, Prof. Yao moved to Hefei in 1978 to attend university then to Beijing in 1982 for his Masters before returning to Hefei in 1985 to pursue his PhD. In 1990, a few months after his PhD thesis was submitted,Prof. Yao accepted a postdoctoral fellowship in Australia. In 1999, Prof. Yao, together with his wife and their son moved to UK where he is currently based and especially enjoys teaching "Introduction to Evolutionary Computation" and "Introduction to Natural Computation".
Intelligence can be expressed as the ability to apprehend certain relationships between objects and events. This may be sensory (animal) being owed conditioned reflexes, or intellectual (human) language and concepts intervening here. An objective of computational intelligence is the creation of intelligence agents. An intelligent agent operates smart: making appropriate circumstances and its objective is flexible to environmental changes and goals; learning from experience and take appropriate decisions; having perceptual limitations and finite computation; showing how biologically-inspired computational intelligence is shaped on the biological intelligence models. Computational intelligence in nuclear engineering has suffered substantial changes in recent years. Past activities have been focused on developing monitoring conditions and analysis techniques for nuclear units but recent activities have focused in implementing these methods and develop methods for the next generation of nuclear units.
Summary form only given. Adaptability and advanced services for industrial manufacturing require an intelligent technological support for understanding the production process characteristics also in complex situations. Quality control is specifically one of the activities in manufacturing which is very critical for ensuring high-quality products and competitiveness on the market. Computational intelligence can provide additional flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioral examples or by mimicking approximate reasoning processes to achieve adaptable systems. This talk will analyze the opportunities offered by computational intelligence technologies to support the realization of adaptable operations and intelligent services in industrial applications, specifically focusing on manufacturing processes and quality control.
Nowadays, there are several effective computational intelligence techniques that, theoretically, could be useful to classify human daily life actions. Moreover, sensors are getting smaller, cheaper, portable and even wearable. In this paper, we have built an annotation tool by applying several computational intelligence techniques (K-Nearest Neighbor, the Support Vector Machine and the Multilayer Perceptron) to detect six types of human actions in daily life based on signals obtained from an accelerometer sensor (standing-up, walking, running, resting, jumping and sitting-down) with an accuracy over 85%. In the future, this component will be the base to infer abnormal behavior from common daily behavior that could be an emergency situation in evolution.
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