... using structural MRI and diffusion tensor imaging (DTI) techniques Though examination of structural brain network in conjunction with functional brain network could provide complementary findings... reorganization of the posterior regions of the brain (Park & Reuter-Lorenz, 2009) These patterns[r]
Learn to apply optimization methods to solve power system operation problemsOptimization of Power System Operation applies the latest applications of new technologies to power system operation and analysis, including several new and important content areas that are not covered in existing books: unc[r]
(BQ) Part 1 The biomedical engineering handbook Medical devices and systems has contents: Digital biomedical signal acquisition and processing, higher order spectral analysis, neural networks in biomedical signal processing, computed tomography,...and other contents.
Contents Preface to the Second Edition xix 1 Fundamentals 1 1.1 4G Networks and Composite Radio Environment 1 1.2 Protocol Boosters 7 1.2.1 Oneelement error detection booster for UDP 9 1.2.2 Oneelement ACK compression booster for TCP 9 1.2.3 Oneelement congestion control booster for TCP 9 1.2.4 Onee[r]
This paper deals with the problem of global exponential stabilization for a class of nonautonomous cellular neural networks with timevarying delays. The system under consideration is subject to timevarying coefficients and timevaying delays. Two cases of timevarying delays are considered: (i) the de[r]
Welcome to AI Techniques for Game Programming. I think you’re going to find that it just might be one of the most useful books on game programming that you’ve ever picked up. Mat first came to my attention back in 2000 or so when he began posting in the GameDev (w[r]
15.2.1 Combination of Fuzzy System and Neural Network Fuzzy system (FS) and neural networks (NN) are powerful tools for controlling the complex systemsoperating under a known or unknown environment. Fuzzy systems can easily be used to express approx-i[r]
An artificial neural network (sometimes abbreviated ANN, or shortened to just neural network when the context is clear) is a software system that loosely models biological neurons and synapses. Before explaining exactly how neural networks work, it is useful to understand what types of problems they[r]
driven modelling approach allow them great flexibility in modelling timeseries data, it also complicates substantially model specification and the estimation of their parameters. Direct optimisation through conventional minimisation of error is not possible under the[r]
Applied TPB model to study the intention of returning tourists in Jinju, South KoreaRelying on the theory of planned behavior (Ajzen, 1991), a longitudinal study investigated the effects of an intervention—introduction of a prepaid bus ticket—on increased bus use among college students. In this cont[r]
... as linear networks have a pipelined communication pattern involving (m − 1) links, where m is the number of processors in the system Further, in the case of linear networks, adopting multi-installment... distribution strategy on linear networks Linear networks consist of set of processors interc[r]
After studying this chapter you will be able to understand: The anatomy of a neuron; the mechanisms of impulse transmission in a neuron; the process that leads to release of neurotransmitters, and what happens at the synapse; how the vertebrate brain integrates information, which leads to an appropr[r]
Ứng dụng trí tuệ nhân tạo trong việc dự đoán lũ lụt ( English version) The artificial neural network (ANN) has been applied in many hydrological models in recent years and pays attention thanks to the performance of the model. This report focuses on using the application of the ANN based on artific[r]
Game Theory and Economic Analysis A quiet revolution in economics Edited by Christian Schmid Game Theory and Economic Analysispresents the wide range of current contributions of game theory to economics. The chapters fall broadly into two categories. Some lay out in a jargonfree manner a particular[r]
ABSTRACT We describe the 2017 version of Microsoft’s conversational speech recognition system, in which we update our 2016 system with recent developments in neuralnetworkbased acoustic and language modeling to further advance the state of the art on the Switchboard speech recognition task. The syst[r]
Over the past 20 years, there has been a considerable expansion in theory and research about human resource management and performance. This paper reviews progress by identifying a series of phases in the development of relevant theory and research. It then sets out a number of challenges for the fu[r]
(BQ) Part 2 book Ethernet networks has contents: Bridging and switching methods and performance issues, routers, wireless ethernet, managing the network, the future of ethernet, security. (BQ) Part 2 book Ethernet networks has contents: Bridging and switching methods and performance issues, routers,[r]