Monte Carlo methods
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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 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
2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.
IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.
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 IEEE/IEDM has been the world's main forum for reporting breakthroughs in technology, design, manufacturing, physics and the modeling of semiconductors and other electronic devices. Topics range from deep submicron CMOS transistors and memories to novel displays and imagers, from compound semiconductor materials to nanotechnology devices and architectures, from micromachined devices to smart -power technologies, etc.
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.
Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission
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 ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
1996 8th European Signal Processing Conference (EUSIPCO 1996), 1996
In this paper we address the problem of the Bayesian de-convolution of a widely spread class of processes, filtered point processes, whose underlying point process is a self-excited point process. In order to achieve this de- convolution, we perform powerful stochastic algorithm, the Markov chains Monte Carlo (MCMC), which despite their power have not been yet widely used in signal ...
IEEE Conference Record - Abstracts. 1992 IEEE International Conference on Plasma, 1993
IEEE Transactions on Electron Devices, 2002
It is well known that, as a result of the nonlocal nature of impact ionization, the noise of avalanche photodiodes decreases as the thickness of the multiplication region is reduced. In this paper, we present an alternative technique to calculate the gain distribution, including the dead-space effect, by numerical solution of the recursive equations. This method yields the average gain, ...
IEEE Conference Record - Abstracts. 1992 IEEE International Conference on Plasma, 1993
IEEE Conference Record - Abstracts. 1991 IEEE International Conference on Plasma Science, 1991
Playing Games with Computational Intelligence
Algorithms that Play and Design Games
A Bayesian Approach for Spatial Clustering - IEEE CIS Webinar
Millimeter-Wave Bandpass Filter Using High-Q Conical Inductors and MOM Capacitors: RFIC Interactive Forum
Micro-Apps 2013: Rapid Simulation of Large Phased Array T/R Module Networks
Carlo Giannelli: SDN and IoT in Spontaneous Networks - WF-IoT 2015
Formal Methods in Robotics
Panel Discussion: Software Defined Networks and the Internet of Things - WF-Iot 2015
IMS 2012 Microapps - Panel Session: Device Characterization Methods and Advanced RF/ Microwave Design
Learning with Kernels for Streams of Structured Data
IMS 2011 Microapps - Practical Methods for Estimating the Q of Spiral Inductors Using EM Planar Simulators
Micro-Apps 2013: Alternative Methods and Optimization Techniques for Vector Modulation
Soft, Printable, and Small: An Overview of Manufacturing Methods for Novel Robots at Harvard
Surgical Robotics: Robotics methods for navigating untethered agents through the vascular network
Award-Winning Methods for LPIRC - Tao Sheng - LPIRC 2019
MicroApps: Different Methods for Capacitor Modelling in High-Frequency PCB-Based Diplexers (National Instruments)
Computational Intelligence in (e)Healthcare - Challenges and Opportunites
Signal Processing on Manifolds
Optimization Algorithms for Signal Processing
In this paper we address the problem of the Bayesian de-convolution of a widely spread class of processes, filtered point processes, whose underlying point process is a self-excited point process. In order to achieve this de- convolution, we perform powerful stochastic algorithm, the Markov chains Monte Carlo (MCMC), which despite their power have not been yet widely used in signal processing.
It is well known that, as a result of the nonlocal nature of impact ionization, the noise of avalanche photodiodes decreases as the thickness of the multiplication region is reduced. In this paper, we present an alternative technique to calculate the gain distribution, including the dead-space effect, by numerical solution of the recursive equations. This method yields the average gain, the multiplication noise, and gain distribution curves. The results are compared with simple Monte Carlo simulation and the Z-transform technique.
The indoor environment is especially of interest for cooperative methods as indoors the density of potentially cooperating devices is much higher than outdoors. Outdoors where the omnipresent coverage of satellite based positioning is the key goal to use already existing infrastructure, like GPS. Indoor could also make use of outdoor positioned mobile nodes by using or exploiting peer-2-peer (P2P) connectivity. The P2P connectivity in indoors only supports also the ubiquitous indoor positioning experience itself. In this paper we investigate dynamic cooperative positioning.
For pt. I see ibid., vol. 49, pp. 1250-1257 (2002). Terminal current noise is investigated with Langevin-type drift-diffusion (DD) and hydrodynamic (HD) noise models for one-dimensional (1-D) N/sup +/ NN/sup +/ and P/sup +/ PP/sup +/ structures and a realistic two-dimensional (2-D) SiGe NPN HBT. The new noise models, which are suitable for technology computer aided design (TCAD), are validated by comparison with Monte Carlo (MC) device simulations for the 1-D structures including noise due to particle scattering and generation of secondary particles by impact ionization (II). It is shown that the accuracy of the usual approach based on the DD model in conjunction with the Einstein relation degrades under nonequilibrium conditions. 2-D MC noise simulations are found to be feasible only if the current correlation functions decay on a subpicosecond scale, what is not always the case.
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