�ݺ�ߣshows by User: udaysaikia

�ݺ�ߣshows by User: udaysaikia / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: udaysaikia / Tue, 14 Jan 2014 23:42:19 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: udaysaikia Middleware /slideshow/12-middleware/30029686 12-middleware-140114234219-phpapp02
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.]]>
Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.]]> Tue, 14 Jan 2014 23:42:19 GMT /slideshow/12-middleware/30029686 udaysaikia@slideshare.net(udaysaikia) Middleware udaysaikia Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/12-middleware-140114234219-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Layer between OS and distributed applications,Hides complexity and heterogeneity of distributed system ,Bridges gap between low-level OS communications and programming language abstractions,Provides common programming abstraction and infrastructure for distributed applications.

Middleware from Dr. Uday Saikia

]]> 8031 7 https://cdn.slidesharecdn.com/ss_thumbnails/12-middleware-140114234219-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 LPC for Speech Recognition /slideshow/lpc-for-speech-recognition/28226267 lpcforspeechrecognition-131113222151-phpapp02
LPC for Speech Recognition]]>
LPC for Speech Recognition]]> Wed, 13 Nov 2013 22:21:51 GMT /slideshow/lpc-for-speech-recognition/28226267 udaysaikia@slideshare.net(udaysaikia) LPC for Speech Recognition udaysaikia LPC for Speech Recognition <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lpcforspeechrecognition-131113222151-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> LPC for Speech Recognition

LPC for Speech Recognition from Dr. Uday Saikia

]]> 7139 7 https://cdn.slidesharecdn.com/ss_thumbnails/lpcforspeechrecognition-131113222151-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 POLYNOMIALS,CURVEFITTING, AND INTERPOLATION /slideshow/polynomialscurvefitting-and-interpolation/27279030 lecture2-131016235814-phpapp02
POLYNOMIALS,CURVEFITTING, AND INTERPOLATION]]>
POLYNOMIALS,CURVEFITTING, AND INTERPOLATION]]> Wed, 16 Oct 2013 23:58:14 GMT /slideshow/polynomialscurvefitting-and-interpolation/27279030 udaysaikia@slideshare.net(udaysaikia) POLYNOMIALS,CURVEFITTING, AND INTERPOLATION udaysaikia POLYNOMIALS,CURVEFITTING, AND INTERPOLATION <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/lecture2-131016235814-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> POLYNOMIALS,CURVEFITTING, AND INTERPOLATION

POLYNOMIALS,CURVEFITTING, AND INTERPOLATION from Dr. Uday Saikia

]]> 629 3 https://cdn.slidesharecdn.com/ss_thumbnails/lecture2-131016235814-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Brain Computer Interfaces(BCI) /slideshow/brain-computer-interfaces-by-uday-mc-gill/27139400 braincomputerinterfacesbyudaymcgill-131013022609-phpapp01
1. Introduction 2. What is BCI 3. History 4. Structure and signals 5. Architecture/Logical structure 6. Brain waves 7. Functionality 8. Future Work 9. Conclusion 10. References ]]>
1. Introduction 2. What is BCI 3. History 4. Structure and signals 5. Architecture/Logical structure 6. Brain waves 7. Functionality 8. Future Work 9. Conclusion 10. References ]]> Sun, 13 Oct 2013 02:26:09 GMT /slideshow/brain-computer-interfaces-by-uday-mc-gill/27139400 udaysaikia@slideshare.net(udaysaikia) Brain Computer Interfaces(BCI) udaysaikia 1. Introduction 2. What is BCI 3. History 4. Structure and signals 5. Architecture/Logical structure 6. Brain waves 7. Functionality 8. Future Work 9. Conclusion 10. References <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/braincomputerinterfacesbyudaymcgill-131013022609-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> 1. Introduction 2. What is BCI 3. History 4. Structure and signals 5. Architecture/Logical structure 6. Brain waves 7. Functionality 8. Future Work 9. Conclusion 10. References

Brain Computer Interfaces(BCI) from Dr. Uday Saikia

]]> 40074 18 https://cdn.slidesharecdn.com/ss_thumbnails/braincomputerinterfacesbyudaymcgill-131013022609-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Intelligence and artificial intelligence /slideshow/intelligence-and-artificial-intelligence/26988354 intelligenceandartificialintelligence-131008133037-phpapp02
1.0 Introduction 1.1 Objectives 1.2 Some Simple Definition of A.I. 1.3 Definition by Eliane Rich 1.4 Definition by Buchanin and Shortliffe 1.5 Another Definition by Elaine Rich 1.6 Definition by Barr and Feigenbaum 1.7 Definition by Shalkoff 1.8 Summary 1.9 Further Readings/References]]>
1.0 Introduction 1.1 Objectives 1.2 Some Simple Definition of A.I. 1.3 Definition by Eliane Rich 1.4 Definition by Buchanin and Shortliffe 1.5 Another Definition by Elaine Rich 1.6 Definition by Barr and Feigenbaum 1.7 Definition by Shalkoff 1.8 Summary 1.9 Further Readings/References]]> Tue, 08 Oct 2013 13:30:36 GMT /slideshow/intelligence-and-artificial-intelligence/26988354 udaysaikia@slideshare.net(udaysaikia) Intelligence and artificial intelligence udaysaikia 1.0 Introduction 1.1 Objectives 1.2 Some Simple Definition of A.I. 1.3 Definition by Eliane Rich 1.4 Definition by Buchanin and Shortliffe 1.5 Another Definition by Elaine Rich 1.6 Definition by Barr and Feigenbaum 1.7 Definition by Shalkoff 1.8 Summary 1.9 Further Readings/References <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/intelligenceandartificialintelligence-131008133037-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> 1.0 Introduction 1.1 Objectives 1.2 Some Simple Definition of A.I. 1.3 Definition by Eliane Rich 1.4 Definition by Buchanin and Shortliffe 1.5 Another Definition by Elaine Rich 1.6 Definition by Barr and Feigenbaum 1.7 Definition by Shalkoff 1.8 Summary 1.9 Further Readings/References

Intelligence and artificial intelligence from Dr. Uday Saikia

]]> 1422 8 https://cdn.slidesharecdn.com/ss_thumbnails/intelligenceandartificialintelligence-131008133037-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds document Black http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Quality management /slideshow/quality-management-26912238/26912238 qualitymanagement-131006114233-phpapp02
Topics Covered: 1. Quality assurance and standards. 2. Quality planning. 3. Quality control. ]]>
Topics Covered: 1. Quality assurance and standards. 2. Quality planning. 3. Quality control. ]]> Sun, 06 Oct 2013 11:42:33 GMT /slideshow/quality-management-26912238/26912238 udaysaikia@slideshare.net(udaysaikia) Quality management udaysaikia Topics Covered: 1. Quality assurance and standards. 2. Quality planning. 3. Quality control. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/qualitymanagement-131006114233-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Topics Covered: 1. Quality assurance and standards. 2. Quality planning. 3. Quality control.

Quality management from Dr. Uday Saikia

]]> 2417 2 https://cdn.slidesharecdn.com/ss_thumbnails/qualitymanagement-131006114233-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 Artificial Neural Network / Hand written character Recognition /slideshow/hand-written-character-recognition-neural-networl-matlab2013presentation/26682952 presentation-130930011119-phpapp02
1. Overview 2.Development of System 3.GCR Model 4.Proposed model 5.Back ground Information 6. Preprocessing 7.Architecture 8.ANN(Artificial Neural Network) 9.How the Human Brain Learns? 10.Synapse 11.The Neuron Model 12.A typical Feed-forward neural network model 13.The neural Network 14.Training of characters using neural networks 15.Regression of trained neural networks 16.Training state of neural networks 17.Graphical user interface…. ]]>
1. Overview 2.Development of System 3.GCR Model 4.Proposed model 5.Back ground Information 6. Preprocessing 7.Architecture 8.ANN(Artificial Neural Network) 9.How the Human Brain Learns? 10.Synapse 11.The Neuron Model 12.A typical Feed-forward neural network model 13.The neural Network 14.Training of characters using neural networks 15.Regression of trained neural networks 16.Training state of neural networks 17.Graphical user interface…. ]]> Mon, 30 Sep 2013 01:11:19 GMT /slideshow/hand-written-character-recognition-neural-networl-matlab2013presentation/26682952 udaysaikia@slideshare.net(udaysaikia) Artificial Neural Network / Hand written character Recognition udaysaikia 1. Overview 2.Development of System 3.GCR Model 4.Proposed model 5.Back ground Information 6. Preprocessing 7.Architecture 8.ANN(Artificial Neural Network) 9.How the Human Brain Learns? 10.Synapse 11.The Neuron Model 12.A typical Feed-forward neural network model 13.The neural Network 14.Training of characters using neural networks 15.Regression of trained neural networks 16.Training state of neural networks 17.Graphical user interface…. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-130930011119-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> 1. Overview 2.Development of System 3.GCR Model 4.Proposed model 5.Back ground Information 6. Preprocessing 7.Architecture 8.ANN(Artificial Neural Network) 9.How the Human Brain Learns? 10.Synapse 11.The Neuron Model 12.A typical Feed-forward neural network model 13.The neural Network 14.Training of characters using neural networks 15.Regression of trained neural networks 16.Training state of neural networks 17.Graphical user interface….

Artificial Neural Network / Hand written character Recognition from Dr. Uday Saikia

]]> 6257 4 https://cdn.slidesharecdn.com/ss_thumbnails/presentation-130930011119-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post

http://activitystrea.ms/schema/1.0/posted

0 https://cdn.slidesharecdn.com/profile-photo-udaysaikia-48x48.jpg?cb=1597042146 Simple. https://cdn.slidesharecdn.com/ss_thumbnails/12-middleware-140114234219-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/12-middleware/30029686 Middleware https://cdn.slidesharecdn.com/ss_thumbnails/lpcforspeechrecognition-131113222151-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/lpc-for-speech-recognition/28226267 LPC for Speech Recogni... https://cdn.slidesharecdn.com/ss_thumbnails/lecture2-131016235814-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/polynomialscurvefitting-and-interpolation/27279030 POLYNOMIALS,CURVEFITTI...