Advances in cybernetics, cognition, and machine learning for communication technologies. (2020)
- Record Type:
- Book
- Title:
- Advances in cybernetics, cognition, and machine learning for communication technologies. (2020)
- Main Title:
- Advances in cybernetics, cognition, and machine learning for communication technologies
- Further Information:
- Note: Vinit Kumar Gunjan, Sabrina Senatore, Amit Kumar, Xiao-Zhi Gao, Suresh Merugu, editors.
- Editors:
- Gunjan, Vinit Kumar
Senatore, Sabrina
Dr, Kumar, Amit
Gao, Xiao-Zhi, 1972-
Merugu, Suresh - Contents:
- Intro -- Contents -- Artificial Neural Network and Partial Pattern Recognition to Detect Malware -- 1 Introduction -- 2 Literature Review -- 2.1 Signature-Based Malware Detection -- 2.2 Behavior-Based Malware Detection -- 2.3 Heuristic-Based Malware Detection -- 3 Methodology -- 3.1 Opcode Extraction -- 3.2 Feature Selection -- 3.3 Constructing Feature Vector -- 3.4 Feature Classifier -- 3.5 Training the Model -- 3.6 Testing -- 4 Dataset Used -- 5 Results -- References -- Epidemiology and Forecasting of Cholera Incidence in North India -- 1 Introduction -- 2 Materials and Methods 2.1 Data Collection -- 2.2 Application of Software Used for Data Analysis -- 2.3 Methods -- 3 Epidemiological Features -- 3.1 Agent -- 3.2 Mode of Transmission (Vibrio) -- 3.3 Environmental Factors -- 4 Results and Discussions -- 5 Conclusion -- References -- A Novel Approach for Improving Routing Efficiency and Minimizing Propagation Mean Delay for DADCQ Protocol in VANET -- 1 Introduction -- 1.1 Literature Review -- 2 Application Distance Method for 1D and 2D Networks -- 2.1 Analysis of Spatial Distribution in VANET 2.2 Adaption of Node Distribution Pattern for 1D and 2D Uniform Distributions -- 3 Reduction of Fading and It's Analysis in the Network -- 4 Design of Quadrant-Based Threshold -- 5 Analysis of Routing Efficiency and It's Improvement for DADCQ Protocol in VANET -- 6 Analysis and Minimizing Mean Delay for DADCQ Under Eavesdropping and DDoS Attacks -- 7 Conclusion -- References -- HumanIntro -- Contents -- Artificial Neural Network and Partial Pattern Recognition to Detect Malware -- 1 Introduction -- 2 Literature Review -- 2.1 Signature-Based Malware Detection -- 2.2 Behavior-Based Malware Detection -- 2.3 Heuristic-Based Malware Detection -- 3 Methodology -- 3.1 Opcode Extraction -- 3.2 Feature Selection -- 3.3 Constructing Feature Vector -- 3.4 Feature Classifier -- 3.5 Training the Model -- 3.6 Testing -- 4 Dataset Used -- 5 Results -- References -- Epidemiology and Forecasting of Cholera Incidence in North India -- 1 Introduction -- 2 Materials and Methods 2.1 Data Collection -- 2.2 Application of Software Used for Data Analysis -- 2.3 Methods -- 3 Epidemiological Features -- 3.1 Agent -- 3.2 Mode of Transmission (Vibrio) -- 3.3 Environmental Factors -- 4 Results and Discussions -- 5 Conclusion -- References -- A Novel Approach for Improving Routing Efficiency and Minimizing Propagation Mean Delay for DADCQ Protocol in VANET -- 1 Introduction -- 1.1 Literature Review -- 2 Application Distance Method for 1D and 2D Networks -- 2.1 Analysis of Spatial Distribution in VANET 2.2 Adaption of Node Distribution Pattern for 1D and 2D Uniform Distributions -- 3 Reduction of Fading and It's Analysis in the Network -- 4 Design of Quadrant-Based Threshold -- 5 Analysis of Routing Efficiency and It's Improvement for DADCQ Protocol in VANET -- 6 Analysis and Minimizing Mean Delay for DADCQ Under Eavesdropping and DDoS Attacks -- 7 Conclusion -- References -- Human Computer Interaction as a Mode of Improvement in Human Lifestyle -- References -- New Fast and Efficient Techniques for Image Denoising Using VQ, PCA, SVD, Soft Thresholding and Wiener Filter -- 1 Introduction 2 Proposed Techniques -- 2.1 Vector Quantization -- 2.2 PCA -- 2.3 PCA for Denoising -- 2.4 SVD -- 2.5 Soft Thresholding [15, 16] -- 2.6 Wiener Filter [17] -- 3 Results and Analysis -- 4 Complexity Analysis of Proposed LBGPCASTW and LBGSVDSTW with LPGPCA -- 5 Conclusions -- References -- Elicitation and Analysis of Security Requirements and Patterns for IoT Based Health Monitor -- 1 Introduction -- 2 Related Work -- 3 Design and Functioning of Health Monitor Using IOT -- 4 Security Requirements Elicitation -- 5 Identification of Security Requirement Patterns for Security in Requirements Phase 6 Security Requirements Patterns Analysis and Its Impact on Security Objectives of IoT Health Monitor -- 7 Conclusion and Future Work -- References -- Classification of Remote Sensing Images Based on K-Means Clustering and Artificial Bee Colony Optimization -- 1 Introduction -- 2 Methodology -- 3 Classification Methods -- 4 Results and Discussions -- 5 Conclusion -- References -- Internet of Things and Its Applications: An Overview -- 1 Introduction -- 2 Related Work -- 3 Elements of IoT -- 4 Framework-Architecture -- 5 Analysis, Monitoring, and Reporting -- 6 Case Studies-Applications … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Extent:
- 1 online resource (x, 619 pages), illustrations (some color)
- Subjects:
- 006.3
Artificial intelligence
Machine learning
Telecommunication systems
Artificial intelligence
Machine learning
Telecommunication systems
Electronic books
Electronic books - Languages:
- English
- ISBNs:
- 9789811531255
9811531250 - Related ISBNs:
- 9789811531248
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed May 18, 2020).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.511130
- Ingest File:
- 03_091.xml