Filters








280 Hits in 7.4 sec

METHODS AND TOOLS FOR HYPOTHESIS-DRIVEN RESEARCH SUPPORT: A SURVEY

2015 Informatika i ee Primeneniya  
An introduction into various concepts, methods, and tools intended for effective organization of hypothesis-driven experiments in DIR is presented.  ...  Data intensive research (DIR) is being developed in frame of the new paradigm of research study known as the Fourth paradigm, emphasizing an increasing role of observational, experimental, and computer  ...  Current accurate prediction methods are also complex black boxes (such as neural nets, forests, support vectors).  ... 
doi:10.14357/19922264150104 fatcat:g4j3jorg5verhpgpmuaxnv7gnu

QUANTUM-INSPIRED ARTIFICIL NEURAL NETWORKS AND EVOLUTIONARY ALGORITHMS METHODS APPLIED TO MODELING OF THE POLISH ELECTRIC POWER EXCHANGE USING THE DAY-AHEAD MARKET DATA

Jerzy Tchórzewski, Dariusz Ruciński
2018 Information System in Management  
Thirdly, we have developed the assumptions and the method of improving ANN parameters as a model of neural system of EPE using evolutionary algorithms and evolutionary algorithms inspired by quantum computing  ...  In order to further increase the accuracy of the neural model of EPE system, an attempt was taken to use both the ANN as well as the evolutionary algorithm by using quantum computer methods, including  ...  , DANUTA ZAKRZEWSKA Institute of Information Technology, Lodz University of Technology The development of Internet resulted in an increasing number of online text repositories.  ... 
doi:10.22630/isim.2018.7.3.18 fatcat:hdnawbi43vbatajygssciknmvq

A review of the use of complex systems applied to risk appetite and emerging risks in ERM practice

Neil Allan, Neil Cantle, Patrick Godfrey, Yun Yin
2012 British Actuarial Journal  
The authors would genuinely welcome input and comments on this report. Using Complexity Science in ERM  ...  cted is indeed e character da ee.  ...  Neural Networks A Neural Network, or an Artificial Neural Network (ANN) in particular, is an automated multi nonlinear regression process.  ... 
doi:10.1017/s135732171200030x fatcat:dwhjg7hagjc55c6c7bzbkgqefy

STATE-SPACE MODEL AND IMPLEMENTATION POLISH POWER EXCHANGE IN MATLAB AND SIMULNK ENVIRONMENTS

Radosław Marlęga
2017 Information System in Management  
As a result, an improved evolutionary-neural model was obtained [13, 17] .  ...  Quantum Evolutionary Algorithm for the improvement of parameters of the neural model In order to obtain the evolutionary model, a modified method of obtaining the adaptation function (AF) was developed  ...  EVOLUTIONARY ALGORITHM INSPIRED BY THE METHODS OF QUANTUM COMPUTER SCIENCES FOR THE IMPROVEMENT OF A NEURAL MODEL OF THE ELECTRIC POWER EXCHANGE JERZY TCHÓRZEWSKI, DARIUSZ RUCI SKI Department of Modelling  ... 
doi:10.22630/isim.2017.6.4.4 fatcat:4jzjaye7ojfxdb7kzpt65d4ola

Welcome message from the General Chairs

Giovanni Giambene, Boon Sain Yeo
2009 2009 International Workshop on Satellite and Space Communications  
Based on these rigorous reviews, IES 2014 accepted 106 papers for inclusion in the conference program, which represents an acceptance rate of 69%.  ...  All accepted papers will be included in the Proceeding of Adaptation, Learning and Optimization Series published by Springer-Verlag.  ...  In this paper, we develop a family of methods to characterize the behavior of a representative SSD.  ... 
doi:10.1109/iwssc.2009.5286448 fatcat:wcu4uzasizhzjmdkzyekynnqwi

Biocomplexity: adaptive behavior in complex stochastic dynamical systems

Walter J. Freeman, Robert Kozma, Paul J. Werbos
2001 Biosystems (Amsterdam. Print)  
The study of complexity, at the level of biological systems, cannot be completed by the analytical tools, which have been developed for non-living systems.  ...  We propose a new approach to chaos research that has the potential of characterizing biological complexity.  ...  ob- serving an engine with a stethoscope or a computer with a D'Arsonval galvanometer.  ... 
doi:10.1016/s0303-2647(00)00146-5 pmid:11267739 fatcat:dxacukqwgzbvxirntnmjh2otyi

Structural and functional characterization of a hypothetical protein in the RD7 region in clinical isolates of Mycobacterium tuberculosis — an in silico approach to candidate vaccines

Kaviya Parambath Kootery, Suma Sarojini
2022 Journal of Genetic Engineering and Biotechnology  
Evidence obtained from the analyses of NHP1 using structure prediction tools strongly point to the fact that NHP1 is an ancient protein having flavodoxin folding structure with ATP binding sites.  ...  Such computational studies might give clues for developing newer vaccines for tuberculosis, which is the need of the hour.  ...  Acknowledgements The authors would like to acknowledge Karnataka Science Technology Academy (KSTA), Bangalore, Karnataka, for the short-term research grant.  ... 
doi:10.1186/s43141-022-00340-5 pmid:35394551 pmcid:PMC8993957 fatcat:cu7l7d3lbbahhmwdb24ojubloe

Developmental mechanism and evolutionary origin of vertebrate leftright asymmetries

Jonathan Cooke
2004 Biological Reviews  
by Torgerson (1950), of all situs inversus individuals in a large sector of the Norwegian population, has recently been extended with the inclusion of contem- porary neural functional imaging methods  ...  secondarily re-acquired an adult bilaterality after its loss as a primary character.  ... 
doi:10.1017/s1464793103006298 pmid:15191229 fatcat:tqmaptpuyzc65n7dnl76qmqf2a

Chikungunya virus: genomic microevolution in Eastern India and its in-silico epitope prediction

Sudip Kumar Dutta, Tamanash Bhattacharya, Anusri Tripathi
2018 3 Biotech  
Predicted epitopes might be used as promising targets for peptide-based vaccine development and rapid diagnostics against CHIKV infection.  ...  Thus, the present study might help to bridge the gap between virus microevolution and its implication in host immunity by taking into account viral genetic and conformational changes.  ...  The authors are extremely thankful to all the doctors of Department of Tropical Medicine for providing patients' blood.  ... 
doi:10.1007/s13205-018-1339-3 pmid:30023150 fatcat:tynd3aduqfhorjqb3lex6z6xwa

Curated Model Development Using NEUROiD: A Web-Based NEUROmotor Integration and Design Platform

Raghu Sesha Iyengar, Madhav Vinodh Pithapuram, Avinash Kumar Singh, Mohan Raghavan
2019 Frontiers in Neuroinformatics  
There is also a need for development of methods and tools for structured integration that yield larger in silico models demonstrating a set of desired system responses.  ...  Computational models of several elements of the neuromotor system have been developed at various scales, from sub-cellular to system.  ...  We are grateful to Udbhav Vyakaranam who was instrumental in building the virtual electrophysiology tools for NEUROiD.  ... 
doi:10.3389/fninf.2019.00056 pmid:31440153 pmcid:PMC6693358 fatcat:s75oqblgyzgg7cnqbminalj64e

Intelligent Systems for Information Security [article]

Ayman M. Bahaa-Eldin
2014 arXiv   pre-print
A new attack for block cipher based on the ability of neural networks to perform an approximation of mapping is proposed.  ...  The main properties of neural network being able to perform mapping between large dimension domains in a very fast and a very small memory compared to S-Boxes is used as a base for the cipher.  ...  Original Caesar cipher substitutes each alphabet character with one three position after, for example the word TEXT is encrypted into WHAW, 14 note that the character X is mapped to A.  ... 
arXiv:1401.3592v1 fatcat:2j266sfy7ng2vmhq5t67u7clfq

The ISTI Rapid Response on Exploring Cloud Computing 2018 [article]

Carleton Coffrin, James Arnold, Stephan Eidenbenz, Derek Aberle, John Ambrosiano, Zachary Baker, Sara Brambilla, Michael Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt (+31 others)
2019 arXiv   pre-print
By and large, the projects were successful and collectively they suggest that cloud computing can be a valuable computational resource for scientific computation at national laboratories.  ...  Acknowledgements The organizers of the Information Science & Technology Institute's "Exploring Cloud Computing 2018" would like to thank Terence Joyce and Brady Jones from the Associate Directorate for  ...  Business Innovation (ADBI) for their technical support in this effort as well as the Chief Information Officer, Mike Fisk, and Matthew Heavner for their financial support.  ... 
arXiv:1901.01331v1 fatcat:cdkmje2agzfsdpyulbp4cxz22q

DYNAMIC PROGRAMMING STRATEGIES FOR ANALYZING BIOMOLECULAR SEQUENCES [chapter]

Kun-Mao Chao
2004 Selected Topics in Post-Genome Knowledge Discovery  
The development of a dynamic-programming algorithm has three basic components: the recurrence relation for defining the value of an optimal solution, the tabular computation for computing the value of  ...  an optimal solution, and the traceback for delivering an optimal solution.  ...  Acknowledgements The work was partially done while the author was visiting the Institute for Mathematical Sciences, National University of Singapore in 2002.  ... 
doi:10.1142/9789812794840_0001 fatcat:d2c7nvvc75fwbpmhrak74vhm4u

Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design

B. Chandrasekaran
1986 IEEE Expert  
Acknowledgments We are thankful to Dean Allemang for his comments on an earlier version of this paper.  ...  We are grateful for the support of the Defense Advanced Projects Research Agency, RADC Contract (F30602-85-CO010), and the Air Force Office of Scientific Research, grant (87-0090) , during the preparation  ...  Neural net simulation and the work on Perceptrons J (Rosenblatt, 1962) are two major examples of this class of work.  ... 
doi:10.1109/mex.1986.4306977 fatcat:i5pusmhyazep3mamqaeiyzvvry

Advances in Electron Microscopy with Deep Learning

Jeffrey Ede
2020 Zenodo  
This version of my thesis is typeset for online dissemination to improve readability, whereas the thesis submitted to the University of Warwick in support of my application for the degree of Doctor of  ...  Highlights include a comprehensive review of deep learning in electron microscopy; large new electron microscopy datasets for machine learning, dataset search engines based on variational autoencoders,  ...  Finally, the author acknowledges funding from EPSRC grant EP/N035437/1 and EPSRC Studentship 1917382. Competing Interests The author declares no competing interests.  ... 
doi:10.5281/zenodo.4598227 fatcat:hm2ksetmsvf37adjjefmmbakvq
« Previous Showing results 1 — 15 out of 280 results