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The latest generation of apex localization – the TENEO ApexLocator
The latest generation of apex localization – the TENEO ApexLocator

PDF sample
PDF sample

... computational number theory and modern public-key cryptography based on number theory. It consists of four parts. The first part, consisting of two chapters, provides some preliminaries. Chapter 1 provides some basic concepts of number theory, computation theory, computational number theory, and mode ...
Document
Document

... Therefore, we have the following result ...
ECG Imaging of Ventricular Extrasystoles
ECG Imaging of Ventricular Extrasystoles

... myocardial infarction on patterns in the 64-channel body surface potential maps (BSPM) that were used in the study. IBT develops ECG imaging (ECGI) methods for the direct localization of ectopic foci from BSPMs of the extrasystole that are taken before the intervention. ECGI is completely non-invasi ...
Genetic algorithms
Genetic algorithms

... • Crossover is explorative, it makes a big jump to an area somewhere “in between” two (parent) areas • Mutation is exploitative, it creates random small diversions, thereby staying near (in the area of ) the parent • Only crossover can combine information from two parents • Only mutation can introdu ...
Bayesian Challenges in Integrated Catchment Modelling
Bayesian Challenges in Integrated Catchment Modelling

... 2.4 Discretisation of continuous variables A large number of the observation data required for the development of the MEM are continuous data (e.g. phosphate concentration). Bayesian networks can deal with continuous variables in only a limited manner. If continuous variables are to be incorporated ...
SPECTR1
SPECTR1

From the mathematical kinetic, and stochastic game theory to
From the mathematical kinetic, and stochastic game theory to

... in the field of mathematics and physics collaborating closely with biologists. The final target consists in joining the heuristic experimental approach, which is the traditional investigative method in the biological sciences, with the rigor induced by methods of mathematical and physical sciences. ...
Optimization_2016_JS
Optimization_2016_JS

Annex B - SEDRIS
Annex B - SEDRIS

... software. Such routines were very slow sometimes taking between 30 and 45 floating point operations to complete. To meet system timeline specifications, software developers often replaced trigonometric subroutine calls by in-line procedures that used piecewise linear or quadratic trigonometric calcu ...
technology neutrality on electronic signatures
technology neutrality on electronic signatures

... Take for example the first mind attempt that most people think when they first think on functional equivalents to handwritten signatures. Well, digitalize your handwritten signature and attach it to a data message. Send it to your trade partner and you will have a serious problem. Now your trading p ...
PPT
PPT

... • Computer-aided design • Pharmaceuticals (molecular modeling) • Visualization – in all of the above – entertainment (films like Toy Story) – architecture (walk-throughs and rendering) • Financial modeling (yield and derivative analysis) • etc. ...
A Critical Review of the Notion of the Algorithm in Computer Science
A Critical Review of the Notion of the Algorithm in Computer Science

Teaching Cryptologic Mathematics
Teaching Cryptologic Mathematics

... new curricular courses are required in order to meet the increasing needs of skills and competences in Cryptology and Security subjects. This is the main reason of the 2001’s communication of the European Commission entitled “Network Security: a European Policy Approach”, that addressed the needs fo ...
PREDICTING DEVELOPMENT OF RESEARCH IN MUSIC BASED ON
PREDICTING DEVELOPMENT OF RESEARCH IN MUSIC BASED ON

... easily perceivable by humans but pose a lot of problems to make them fully understandable by computers. Research in both areas uses similar techniques and should be able to take from each other in the areas that are more developed in one of them. Music researchers could share their insight in tasks ...
Aaron Boo Boon Khoo - Computer Science Division
Aaron Boo Boon Khoo - Computer Science Division

... • Aaron Khoo, Greg Dunham, Nick Trienens, Sanjay Sood, “Efficient, Realistic NPC Control Systems using Behavior-Based Techniques”, Proceedings of the AAAI 2002 Spring Symposium Series: Artificial Intelligence and Interactive Entertainment, AAAI tech. report, SS-02-01, AAAI Press, Menlo Park, Calif., ...
Summary of big ideas
Summary of big ideas

... solving the problems optimally. Examples: Min. Spanning Tree Problem, Maximum Flow Problem  For Class 2 problems (NP-hard problems) • No polynomial-time algorithm is known; • And more likely there is no one. Example: Traveling Salesman Problem • Most discrete optimization problems are in the second ...
Evolving Neural Networks using Ant Colony Optimization with
Evolving Neural Networks using Ant Colony Optimization with

Learning Objectives
Learning Objectives

... 11. Define and distinguish among gnathostomes, tetrapods, and amniotes. 12. Describe the common traits of amphibians and distinguish among the three orders of living amphibians. Amniotes have Tetrapods with Amniotic Eggs 13. Describe an amniotic egg and explain its significance in the evolution of r ...
PPT - streammining.org
PPT - streammining.org

... nodes for target user has been found useful in many applications, for example: personalized recommendation target advertising personal product promotion personal behavior prediction ...
Inverse Problems: Perspectives, Analysis and Insights (PAl),
Inverse Problems: Perspectives, Analysis and Insights (PAl),

... Dynamic embedded optimization. Limit cycles. Grazing/reachability. Stability boundary. ...
An Arabidopsis mutant perturbed in phytochrome signaling because
An Arabidopsis mutant perturbed in phytochrome signaling because

... was used in each RT-PCR, which was performed with the access RT-PCR system kit (Promega) with minor modifications of the manufacturer’s recommended procedures. Briefly, RT was performed at 48°C for 45 min by first adding the downstream primer to the reaction mix, followed by a denaturation step at 9 ...
The Power of Epidemics: Robust Communication for Large-Scale Distributed Systems
The Power of Epidemics: Robust Communication for Large-Scale Distributed Systems

... to even modest stress. This finding reveals an imminent (and growing) threat to the full spectrum of emergent mission-critical computing systems. If we can’t solve the scalability problem, and develop a methodology yielding applications that remain secure and robust even when failures occur – indeed ...
Performance analysis and optimization of parallel Best
Performance analysis and optimization of parallel Best

... Since the emergence of clusters, multicore processors and clusters of multicore machines, researchers and developers have faced the challenge of parallelizing different kinds of applications in order to take advantage of the computing power and/or the accumulated memory that these architectures prov ...
Knowledge Engineering - KDD
Knowledge Engineering - KDD

... During conceptualization, the knowledge engineer also selects a general system-building language or tool for implementing the knowledge based system. It was determined that the data are well-structured and fairly reliable and that the decision processes involve feedback and parallel decisions. This ...
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Natural computing

Natural computing, also called natural computation, is a terminology introduced to encompass three classes of methods: 1) those that take inspiration from nature for the development of novel problem-solving techniques; 2) those that are based on the use of computers to synthesize natural phenomena; and 3) those that employ natural materials (e.g., molecules) to compute. The main fields of research that compose these three branches are artificial neural networks, evolutionary algorithms, swarm intelligence, artificial immune systems, fractal geometry, artificial life, DNA computing, and quantum computing, among others.Computational paradigms studied by natural computing are abstracted from natural phenomena as diverse as self-replication, the functioning of the brain, Darwinian evolution, group behavior, the immune system, the defining properties of life forms, cell membranes, and morphogenesis. Besides traditional electronic hardware, these computational paradigms can be implemented on alternative physical media such as biomolecules (DNA, RNA), or trapped-ion quantum computing devices.Dually, one can view processes occurring in nature as information processing. Such processes include self-assembly, developmental processes, gene regulation networks, protein-protein interaction networks, biological transport (active transport, passive transport) networks, and gene assembly in unicellular organisms. Efforts tounderstand biological systems also include engineering of semi-synthetic organisms, and understanding the universe itself from the point of view of information processing. Indeed, the idea was even advanced that information is more fundamental than matter or energy. The Zuse-Fredkin thesis, dating back to the 1960s, states that the entire universe is a huge cellular automaton which continuously updates its rules.Recently it has been suggested that the whole universe is a quantum computer that computes its own behaviour.
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