Coverart for item
The Resource Advances in Computer Communication and Computational Sciences : Proceedings of IC4S 2017, Volume 1, Sanjiv K. Bhatia [and 3 others], editors

Advances in Computer Communication and Computational Sciences : Proceedings of IC4S 2017, Volume 1, Sanjiv K. Bhatia [and 3 others], editors

Label
Advances in Computer Communication and Computational Sciences : Proceedings of IC4S 2017, Volume 1
Title
Advances in Computer Communication and Computational Sciences
Title remainder
Proceedings of IC4S 2017
Title number
Volume 1
Statement of responsibility
Sanjiv K. Bhatia [and 3 others], editors
Creator
Contributor
Editor
Subject
Language
eng
Member of
Cataloging source
N$T
Dewey number
621.382
Index
no index present
LC call number
TK5101
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2017
http://bibfra.me/vocab/lite/meetingName
International Conference on Computer, Communication and Computational Sciences
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • Bhatia, Sanjiv K.
  • Tiwari, Shailesh
  • Mishra, Krishn K
  • Triv, Munesh C
Series statement
Advances in intelligent systems and computing
Series volume
volume 759
http://library.link/vocab/subjectName
  • Engineering
  • Computers
  • Computational intelligence
  • Electrical engineering
Label
Advances in Computer Communication and Computational Sciences : Proceedings of IC4S 2017, Volume 1, Sanjiv K. Bhatia [and 3 others], editors
Instantiates
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; About the Editors; Intelligent Computing Techniques; Multi-view Ensemble Learning Using Rough Set Based Feature Ranking for Opinion Spam Detection; 1 Introduction; 2 Related Work; 3 Feature Identification and Construction; 3.1 Bigrams/Unigrams; 3.2 Parts of Speech; 3.3 Quantitative Feature; 3.4 Psychological and Linguistic Features; 3.5 Readability; 3.6 Lexical Diversity; 4 Related Concepts, Notations, and Proposed Method; 4.1 Feature Ranking Based on Degree of Dependency; 5 Experiments and Results for MEL; 5.1 Databases and Experimental Setup
  • 5.2 Experimental Results and Analysis6 Concluding Remarks; References; Analysis of Online News Popularity and Bank Marketing Using ARSkNN; 1 Introduction; 2 Literature Review; 2.1 k-Nearest Neighbors; 2.2 ARSkNN; 3 Experimental Setup; 4 Dataset Information; 4.1 Bank Marketing Dataset; 4.2 Online News Popularity Dataset; 5 Empirical Evaluation; 6 Discussion; 7 Conclusion; References; Fuzz Testing in Stack-Based Buffer Overflow; 1 Introduction; 2 Background Details and Related Work; 3 Proposed Framework; 3.1 Binary Instrumentation; 3.2 Choosing Initial Test Cases; 3.3 Fuzzing Binaries
  • 3.4 Parallelized Fuzzing3.5 Interpreting Output; 3.6 Fuzzer Dictionary; 4 Implementation and Results; 4.1 Execution of SAFAL Model; 4.2 Crashes and Hangs; 5 Conclusion and Future Work; References; Quantum Behaved Particle Swarm Optimization Technique Applied to FIR-Based Linear and Nonlinear Channel Equalizer; 1 Introduction; 2 Adaptive Channel Equalizer; 3 The Standard PSO and Quantum Behaved QPSO Algorithms: Revisited; 3.1 Standard PSO Algorithm; 3.2 QPSO Algorithm; 4 QPSO-Based Channel Equalizer; 5 Simulation Results and Discussions; 5.1 Convergence Characteristics; 5.2 BER Performance
  • 6 ConclusionReferences; Deep ConvNet with Different Stochastic Optimizations for Handwritten Devanagari Character; 1 Introduction; 2 Previous Work; 3 Proposed Recognition Strategy; 3.1 Deep Convolution Neural Network; 3.2 RMSProp; 3.3 Adam and AdaMax; 3.4 Detailed Description of Deep Convolution Neural Network; 4 Experimental Results; 5 Conclusion; References; Speech Recognition of Punjabi Numerals Using Convolutional Neural Networks; 1 Introduction; 2 Convolutional Neural Network; 2.1 Layer Architecture; 2.2 Activation Function and Optimizer; 2.3 Mechanisms in CNN; 3 Methodology; 3.1 Dataset
  • 3.2 Framing Window3.3 Feature Extraction; 3.4 Experimental Setup; 4 Results; 5 Conclusion and Future Work; References; Fault Diagnosis of Bearings with Variable Rotational Speeds Using Convolutional Neural Networks; 1 Introduction; 2 The Experimental Testbed and Seeded Defect Acoustic Emission Data; 3 The Architecture of CNNs and Backpropagation Through CNNs Using a Stochastic Diagonal Levenberg-Marquardt Algorithm; 3.1 Overview of CNNs and LeNet-5; 3.2 Training CNNs Using a Stochastic Diagonal Levenberg-Marquardt Algorithm; 4 Experimental Results and Discussion
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9789811303432
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1049802565
  • (OCoLC)1049802565
Label
Advances in Computer Communication and Computational Sciences : Proceedings of IC4S 2017, Volume 1, Sanjiv K. Bhatia [and 3 others], editors
Publication
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; About the Editors; Intelligent Computing Techniques; Multi-view Ensemble Learning Using Rough Set Based Feature Ranking for Opinion Spam Detection; 1 Introduction; 2 Related Work; 3 Feature Identification and Construction; 3.1 Bigrams/Unigrams; 3.2 Parts of Speech; 3.3 Quantitative Feature; 3.4 Psychological and Linguistic Features; 3.5 Readability; 3.6 Lexical Diversity; 4 Related Concepts, Notations, and Proposed Method; 4.1 Feature Ranking Based on Degree of Dependency; 5 Experiments and Results for MEL; 5.1 Databases and Experimental Setup
  • 5.2 Experimental Results and Analysis6 Concluding Remarks; References; Analysis of Online News Popularity and Bank Marketing Using ARSkNN; 1 Introduction; 2 Literature Review; 2.1 k-Nearest Neighbors; 2.2 ARSkNN; 3 Experimental Setup; 4 Dataset Information; 4.1 Bank Marketing Dataset; 4.2 Online News Popularity Dataset; 5 Empirical Evaluation; 6 Discussion; 7 Conclusion; References; Fuzz Testing in Stack-Based Buffer Overflow; 1 Introduction; 2 Background Details and Related Work; 3 Proposed Framework; 3.1 Binary Instrumentation; 3.2 Choosing Initial Test Cases; 3.3 Fuzzing Binaries
  • 3.4 Parallelized Fuzzing3.5 Interpreting Output; 3.6 Fuzzer Dictionary; 4 Implementation and Results; 4.1 Execution of SAFAL Model; 4.2 Crashes and Hangs; 5 Conclusion and Future Work; References; Quantum Behaved Particle Swarm Optimization Technique Applied to FIR-Based Linear and Nonlinear Channel Equalizer; 1 Introduction; 2 Adaptive Channel Equalizer; 3 The Standard PSO and Quantum Behaved QPSO Algorithms: Revisited; 3.1 Standard PSO Algorithm; 3.2 QPSO Algorithm; 4 QPSO-Based Channel Equalizer; 5 Simulation Results and Discussions; 5.1 Convergence Characteristics; 5.2 BER Performance
  • 6 ConclusionReferences; Deep ConvNet with Different Stochastic Optimizations for Handwritten Devanagari Character; 1 Introduction; 2 Previous Work; 3 Proposed Recognition Strategy; 3.1 Deep Convolution Neural Network; 3.2 RMSProp; 3.3 Adam and AdaMax; 3.4 Detailed Description of Deep Convolution Neural Network; 4 Experimental Results; 5 Conclusion; References; Speech Recognition of Punjabi Numerals Using Convolutional Neural Networks; 1 Introduction; 2 Convolutional Neural Network; 2.1 Layer Architecture; 2.2 Activation Function and Optimizer; 2.3 Mechanisms in CNN; 3 Methodology; 3.1 Dataset
  • 3.2 Framing Window3.3 Feature Extraction; 3.4 Experimental Setup; 4 Results; 5 Conclusion and Future Work; References; Fault Diagnosis of Bearings with Variable Rotational Speeds Using Convolutional Neural Networks; 1 Introduction; 2 The Experimental Testbed and Seeded Defect Acoustic Emission Data; 3 The Architecture of CNNs and Backpropagation Through CNNs Using a Stochastic Diagonal Levenberg-Marquardt Algorithm; 3.1 Overview of CNNs and LeNet-5; 3.2 Training CNNs Using a Stochastic Diagonal Levenberg-Marquardt Algorithm; 4 Experimental Results and Discussion
Dimensions
unknown
Extent
1 online resource.
File format
unknown
Form of item
online
Isbn
9789811303432
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1049802565
  • (OCoLC)1049802565

Library Locations

Processing Feedback ...