Adaptive Decision Systems
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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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.
The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will
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 CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
Early Vision and Sensors Color, Illumination and Texture Segmentation and Grouping Motion and TrackingStereo and Structure from Motion Image -Based Modeling Physics -Based Modeling Statistical Methods and Learning in VisionVideo Surveillance and Monitoring Object, Event and Scene Recognition Vision - Based Graphics Image and Video RetrievalPerformance Evaluation Applications
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
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 ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
2006 IEEE Symposium on Computational Intelligence and Games, 2006
Video and computer games provide a rich platform for testing adaptive decision systems such as value-based reinforcement learning and neuroevolution. However, integrating such systems into the game environment and evaluating their performance in it is time and labor intensive. In this paper, an approach is developed for using general integration and evaluation software to alleviate these problems. In particular, the ...
IEEE Journal of Solid-State Circuits, 1966
A solid-state adaptive memory element compatible with integrated network circuitry and a pattern classifier employing the unique adaption properties of this element are described. Each individual element consists of a resistor, a diode, and a special purpose MOS transistor all fabricated on a silicon substrate. Adaption in this case is accomplished by changing the electrical characteristics of the MOS transistor. ...
Robotics History: Narratives and Networks Oral Histories: Minoru Asada
Norbert Wiener in the 21st Century Conference Concept
A 30-MHz-to-3-GHz CMOS Array Receiver with Frequency and Spatial Interference Filtering for Adaptive Antenna Systems: RFIC Industry Showcase
Multi-Standard 5Gbps to 28.2Gbps Adaptive, Single Voltage SerDes Transceiver with Analog FIR and 2-Tap Unrolled DFE in 28nm CMOS: RFIC Interactive Forum 2017
Overcoming the Static Learning Bottleneck - the Need for Adaptive Neural Learning - Craig Vineyard: 2016 International Conference on Rebooting Computing
Achieving Balance Between Convergence and Diversity in Evolutionary Multi-Objective Optimization - Ke Li
Social Implications: Perils & Promises of AI - IEEE AI & Ethics Summit 2016
A Conversation with…Francesca Rossi: IEEE TechEthics
Neuromorphic Adaptive Edge-preserving Denoising Filter: IEEE Rebooting Computing 2017
A Fully-Integrated SOI CMOS Complex-Impedance Detector for Matching Network Tuning in LTE Power Amplifier: RFIC Interactive Forum
PGX Clinical Decision Support Implementation - Peter Hulick - IEEE EMBS at NIH, 2019
Honors 2020: Joseph R. Guerci Wins the IEEE Dennis J. Picard Medal for Radar Technologies and Applications
Landing in a Self-Flying Airplane. Ready for it? - Antonio Crespo
Some Thoughts on a Gap Between Theory and Practice of Evolutionary Algorithms - WCCI 2012
An Introduction to Computational Intelligence in Multi-Criteria Decision-Making: The Intersection of Search, Preference Tradeoff
Norha Villegas: The Role of Models at Runtime in Smart Cyber Physical Systems: WF IoT 2016
Recurrent Neural Networks for System Identification, Forecasting and Control
Photo Verification Technology for Radiology Images - Srini Tridandapani - IEEE EMBS at NIH, 2019
Bayesian Perception & Decision from Theory to Real World Applications
Video and computer games provide a rich platform for testing adaptive decision systems such as value-based reinforcement learning and neuroevolution. However, integrating such systems into the game environment and evaluating their performance in it is time and labor intensive. In this paper, an approach is developed for using general integration and evaluation software to alleviate these problems. In particular, the testbed for integrating and evaluating learning techniques (TIELT) is used to integrate a neuroevolution learner with an off-the-shelf computer game Unreal Tournament<sup>TM5</sup> (Aha and Molineaux, 2004). The resulting system is successfully used to evolve artificial neural network controllers with basic navigation behavior. Our work leads to formulating a set of requirements that make a general integration and evaluation system such as TIELT a useful tool for benchmarking adaptive decision systems
A solid-state adaptive memory element compatible with integrated network circuitry and a pattern classifier employing the unique adaption properties of this element are described. Each individual element consists of a resistor, a diode, and a special purpose MOS transistor all fabricated on a silicon substrate. Adaption in this case is accomplished by changing the electrical characteristics of the MOS transistor. This element is combined with a fixed reference resistor in a current-summing scheme to form a useful adaptive weight having both positive and negative values. The circuitry necessary for controlling the adaption of the element and its use as a weight during pattern classification is relatively simple and completely compatible with established integrated circuit technology. The pattern classifier can easily be trained to classify the majority of a given group of input patterns correctly according to arbitrarily selected "desired outputs."
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