Kooperativer Bibliotheksverbund

UID:

Format: XXVII, 717 p. 359 illus., 267 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9789811621260

Series Statement: Lecture Notes in Networks and Systems, 209

Content: This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18-19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies.

Note: Chapter 1: Minimizing Energy through Task Allocation using Rao-2 Algorithm in fog assisted Cloud Environment -- Chapter 2: Sensitivity Context-Aware Privacy-Preserving Disease Prediction -- Chapter 3: Designing a Smart Speaking System for Voiceless Community -- Chapter 4: ANNs for Automatic Speech Recognition - A Survey -- Chapter 5: Cyber Security in the Age of the Internet of Things: An Assessment of the Users' Privacy and Data Security -- Chapter 6: Application of Artificial Intelligence in New Product Development: Innovative Cases of Crowdsourcing -- Chapter 7: The Effect of the Toplolgy Adaptation on Search Performance in Overlay Network -- Chapter 8: Flanker Task-based VHDR Dataset Analysis for Error Rate Prediction -- Chapter 9: Integrating University Computing Labs with AWS for Better Resource Utilization -- Chapter 10: IoT based Control of Dosa Making Robot -- Chapter 11: Classification of Idiomatic Sentences using AWD- LSTM -- Chapter 12: Developing an IoT based Data Analytics System for Predicting Soil Nutrient Degradation Level -- Chapter 13: A survey on Cloud Resources Allocation using Multi- Agent System -- Chapter 14: IoT Based Smart Helmet for Riders -- Chapter 15: Collision Avoidance in Vechicles using Ultrasonic Sensor.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811621253

Additional Edition: Printed edition: ISBN 9789811621277

Language: English

DOI: 10.1007/978-981-16-2126-0

URL: https://doi.org/10.1007/978-981-16-2126-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVII, 914 p. 513 illus., 393 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789811960048

Series Statement: Algorithms for Intelligent Systems,

Content: The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6-7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.

Note: Modelling Muller Lyer Illusion Using Information Geometry -- Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation -- Statistical Analysis of Stress Prediction from Speech Signatures -- DermoCare.AI: A Skin Lesion Detection System using Deep Learning Concepts -- Analysis of Phishing Base Problems using Random Forest Features Selection Techniques and Machine Learning Classifiers -- Cost Prediction for Online Home-Based Application Services by Using Linear Regression Techniques -- Convolutional neural network-based intrusion detection system and predict the DDoS attack -- BERT Transformer based Fake News Detection in Twitter Social Media -- The Facial Expression Recognition Using Deep Neural Network -- New IoT Based Portable Microscopic Somatic Cell Count Analysis.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811960031

Additional Edition: Printed edition: ISBN 9789811960055

Additional Edition: Printed edition: ISBN 9789811960062

Language: English

DOI: 10.1007/978-981-19-6004-8

URL: https://doi.org/10.1007/978-981-19-6004-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XXVIII, 900 p. 467 illus., 369 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819917457

Series Statement: Lecture Notes in Networks and Systems, 673

Content: The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9-10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.

Note: A Detailed Survey on Network Intrusion Detection in Cloud using different Techniques -- Adoption of Network Function Virtualization Technology In Education -- An Efficient Secure Cloud Image Deduplication with Weighted min-hash Algorithm -- An Intelligence Security Architecture for mitigating DDOS Attack in CloudIOT Environment -- Automated Activity Scheduling Using Heuristic Approach -- Automated Helpline Service Using a Two-Tier Ensemble Framework -- Big Data Security: Attack's Detection Methods using Digital Forensics -- Decentralized Expert System for Donation Tracking and Transparency -- Design of Wireless-Cloud based Transmission Intelligent Robot for Industrial Pipeline Inspection and Maintenance -- Evaluation of security of Cloud Deployment Models in Electronic Health Records -- Leasing in IaaS Cloud using Queuing Model -- Resource Allocation using MISO-NOMA Scheme with Clustering Technique -- Self-Adaptive Hadoop Cluster for Data Analysis Applications -- Sustainable Cloud Computing in the Supply Chain -- Task Scheduling in Fog assisted Cloud Environment using Hybrid Metaheuristic Algorithm.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819917440

Additional Edition: Printed edition: ISBN 9789819917464

Language: English

DOI: 10.1007/978-981-99-1745-7

URL: https://doi.org/10.1007/978-981-99-1745-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (891 pages)

Edition: 1st ed. 2023.

ISBN: 981-9917-45-X

Series Statement: Lecture Notes in Networks and Systems, 673

Content: The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects including theoretical, practical, and experimental domains that pertain to the expert systems, sustainable clouds, and artificial intelligence technologies. The thrust of the book is to showcase different research chapters dealing with the design, development, implementation, testing and analysis of intelligent systems, and expert clouds, and also to provide empirical and practical guidelines for the development of such systems.

Note: A Detailed Survey on Network Intrusion Detection in Cloud using different Techniques -- Adoption of Network Function Virtualization Technology In Education -- An Efficient Secure Cloud Image Deduplication with Weighted min-hash Algorithm -- An Intelligence Security Architecture for mitigating DDOS Attack in CloudIOT Environment -- Automated Activity Scheduling Using Heuristic Approach -- Automated Helpline Service Using a Two-Tier Ensemble Framework -- Big Data Security: Attack's Detection Methods using Digital Forensics -- Decentralized Expert System for Donation Tracking and Transparency -- Design of Wireless-Cloud based Transmission Intelligent Robot for Industrial Pipeline Inspection and Maintenance -- Evaluation of security of Cloud Deployment Models in Electronic Health Records -- Leasing in IaaS Cloud using Queuing Model -- Resource Allocation using MISO-NOMA Scheme with Clustering Technique -- Self-Adaptive Hadoop Cluster for Data Analysis Applications -- Sustainable Cloud Computing in the Supply Chain -- Task Scheduling in Fog assisted Cloud Environment using Hybrid Metaheuristic Algorithm.

Additional Edition: Print version: Jeena Jacob, I. Expert Clouds and Applications Singapore : Springer,c2023 ISBN 9789819917440

Language: English

DOI: 10.1007/978-981-99-1745-7

UID:

Format: 1 online resource (899 pages)

ISBN: 981-19-6004-6

Series Statement: Algorithms for Intelligent Systems

Note: Intro -- Preface -- Contents -- About the Editors -- 1 Modeling Müller-Lyer Illusion Using Information Geometry -- 1 Introduction -- 2 Method -- 3 Information Geometric Measure of Distance -- 4 Computational Method and Results -- 5 Discussion -- References -- 2 Building up a Categorical Sentiment Dictionary for Tourism Destination Policy Evaluation -- 1 Introduction -- 2 MCST Questionnaires for Selecting Evaluation Categories -- 2.1 Categories and Questions of MCST and Keywords Associated to the Categories -- 2.2 Incorporating the Questionnaire-Based Evaluation into Sentiment Analysis Based on Text Mining -- 3 Additional Information Required from Authors -- 3.1 Model Architecture -- 3.2 Data -- 3.3 Text Cleaning and Preprocessing -- 3.4 Extracting Category-Specific Tokens Using CTF-IDF -- 3.5 Logistic Regression for Extracting Sentiment Words -- 3.6 Human Evaluation on Sentiment Words in a Category -- 3.7 Matching -- 4 Results -- 5 Conclusion -- References -- 3 Statistical Analysis of Stress Prediction from Speech Signatures -- 1 Introduction -- 2 Methodology -- 3 Database Collection -- 4 Results and Analysis -- 5 Discussion -- 6 Conclusion -- References -- 4 DermoCare.AI: A Skin Lesion Detection System Using Deep Learning Concepts -- 1 Introduction -- 2 Theory -- 2.1 Survey of Existing Systems -- 2.2 Limitations Found in Existing Systems -- 3 Proposed Work -- 3.1 Data Set -- 3.2 Pre-processing -- 3.3 CNN Architecture -- 4 Results and Discussion -- 4.1 Evaluation Measures -- 4.2 Multi-class Classification -- 4.3 Benign/Malignant Classification -- 4.4 Integrating Models into a Web Application -- 5 Conclusion and Future Scope -- References -- 5 Analysis of Phishing Base Problems Using Random Forest Features Selection Techniques and Machine Learning Classifiers -- 1 Introduction -- 2 Research Background -- 3 Methodology -- 3.1 Data Description. , 3.2 Features Selection Method -- 3.3 Algorithms Description -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- 6 Cost Prediction for Online Home-Based Application Services by Using Linear Regression Techniques -- 1 Introduction -- 1.1 Motivation -- 2 Problem Statement -- 3 Literature Survey -- 3.1 Domestic Android Application for Home Services [9] -- 3.2 An Online System for Household Services [10] -- 3.3 E-commerce and Its Impact on Global Trade and Market [11] -- 3.4 Examining the Impact of Security, Privacy, and Trust, on the TAM and TTF Models for E-commerce Consumers [12] -- 3.5 A Research Study on Customer Expectation and Satisfaction Level of Urban Clap in Beauty Services with Special Reference to Pune [13] -- 3.6 Timesaverz-First of Its Kind On-Demand Home Service Provider, India [14] -- 4 Proposed System and Architecture Diagram -- 4.1 Registration Module -- 4.2 Login Module -- 4.3 Feedback Module -- 4.4 Admin Module -- 5 Project Scope -- 6 Prototype Model -- 6.1 Feature Value (Target Value) and Linear Regression -- 6.2 Cost Prediction -- 6.3 Three-Step Verification -- 6.4 Feedback -- 7 Users' Classes and Features -- 8 Applications -- 8.1 Home and Cleaning Service Industry -- 8.2 Health Care -- 8.3 Repair and Maintenance Service Industry -- 8.4 Home Renovation/Shifting -- 8.5 Home Construction and Design -- 8.6 Businesses -- 9 Future Scope -- 10 Conclusion -- References -- 7 Convolutional Neural Network Based Intrusion Detection System and Predicting the DDoS Attack -- 1 Introduction -- 2 Related Works -- 3 System Model -- 3.1 Image Conversion Algorithm from KDD Dataset to Gray Scale -- 3.2 Feature Selection Algorithm -- 3.3 CNN Algorithm -- 4 Performance Evaluation -- 4.1 Number of Convolution Layers -- 4.2 Kernel Size -- 5 Conclusion -- References -- 8 BERT Transformer-Based Fake News Detection in Twitter Social Media. , 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Dataset -- 4 Results and Discussion -- 5 Conclusion -- References -- 9 The Facial Expression Recognition Using Deep Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 Dataset -- 3 Proposed Model -- 3.1 Model Architecture -- 4 Experiment -- 4.1 Experimental Design -- 4.2 Experimental Results and Evaluation -- 5 Conclusion -- References -- 10 New IoT-Based Portable Microscopic Somatic Cell Count Analysis -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Performance Analysıs -- 5 Conclusion -- References -- 11 A Survey on Hybrid PSO and SVM Algorithm for Information Retrieval -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Data Analysis -- 4 Results and Discussion -- 4.1 Ranking Models and Experiments with These Models -- 4.2 The Vector Space Mode -- 4.3 Positioning Based on Document Structure -- 4.4 Adjustments and Enhancements to the Basic Indexing and Search Processes -- 5 Conclusion -- References -- 12 Metric Effects Based on Fluctuations in Values of k in Nearest Neighbor Regressor -- 1 Introduction -- 2 Methodology -- 2.1 Euclidean Distance -- 2.2 Manhattan Distance -- 2.3 Hamming Distance -- 2.4 Regressor -- 2.5 Dataset -- 3 Results -- 3.1 Root Mean Squared Error -- 3.2 Goodness of Fit -- 4 Conclusion -- References -- 13 An Ensemble Approach to Recognize Activities in Smart Environment Using Motion Sensors and Air Quality Sensors -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Experimental Analysis -- 4.1 Phase 1-Activity Recognition Using Motion Sensors Data -- 4.2 Phase 2-Activity Recognition Using Air Quality Sensors -- 5 Results -- 6 Conclusion -- References -- 14 Generalization of Fingerprint Spoof Detector -- 1 Introduction -- 2 Literature Survey -- 3 Working Principle -- 3.1 Dataset. , 3.2 Training and Validation of Our Proposed CNN Model -- 4 Conclusion -- References -- 15 Applied Deep Learning for Safety in Construction Industry -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Description -- 3.2 Convolutional Neural Network Model -- 3.3 VGG16 Model -- 3.4 System Architecture -- 4 Discussion -- 4.1 Technologies Required -- 4.2 Convolutional Neural Network -- 4.3 VGG16 Model -- 5 Results -- 5.1 Classification Performance -- 5.2 Pre-processed Image Dataset -- 5.3 Equipment Classification -- 5.4 Result Comparison -- 6 Conclusion -- References -- 16 Deep Learning-Based Quality Inspection System for Steel Sheet -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed Work -- 5 Architecture Diagram -- 6 System Design -- 6.1 Analysis of Experimental Data -- 6.2 Building Model -- 6.3 System Training and Testing Procedures -- 6.4 User Interface -- 7 Results -- 8 Conclusion -- 9 Future Scope -- References -- 17 Forecasting Prediction of Covid-19 Outbreak Using Linear Regression -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Dataset Description -- 3.2 Data Pre-processing -- 3.3 Training and Testing -- 3.4 Classification -- 4 Result -- 5 Conclusion -- References -- 18 Proctoring Solution Using AI and Automation (Semi) -- 1 Introduction -- 2 Project Plan and Schedule -- 3 Literature Survey -- 4 System Requirements -- 4.1 Hardware Requirement -- 4.2 Software Requirements -- 5 Proposed System -- 6 System Design and Working -- 6.1 Proctor Module -- 6.2 Student Module -- 6.3 Examiner Module -- 7 Implementation -- 8 Results -- 9 Advantages -- 10 Disadvantages -- 11 Conclusion -- 12 Future Enhancements -- References -- 19 Apple Leaf Disease Prediction Using Deep Learning Technique -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Proposed System -- 5 Results. , 6 Conclusion -- References -- 20 Sentimental Analysis and Classification of Restaurant Reviews -- 1 Introduction -- 2 Literature Survey -- 3 Existing Methodology -- 4 Sentiment Analysis of Restaurant Reviews -- 5 Sentimental Analysis -- 6 Proposed Methodology -- 6.1 Data Collection -- 6.2 Data Preprocessing -- 6.3 Stop-Word Elimination -- 6.4 Stemming -- 6.5 Bag-of-Words Model -- 6.6 Data Classification -- 6.7 Splitting Dataset -- 7 Splitting -- 8 Naive Bayes -- 9 Logistic Regression -- 10 Result -- 11 Conclusion -- 12 Future Work -- References -- 21 A Controllable Differential Mode Band Pass Filter with Wide Stopband Characteristics -- 1 Introduction -- 2 Filter Design -- 3 Current Distributions -- 4 Conclusion -- References -- 22 Design and Analysis of Conformal Antenna for Automotive Applications -- 1 Introduction -- 2 Antenna Design Process -- 2.1 Bending Analysis -- 3 Results and Analysis -- 4 Conclusions -- References -- 23 An Improved Patch-Group-Based Sparse Representation Method for Image Compressive Sensing -- 1 Introduction -- 1.1 Research Motivation and Contribution -- 2 Related Work and Challenges -- 3 Proposed Work -- 3.1 Phase-1: Patch-Based Adaptive Sparsifying Learning (PASL) -- 3.2 Phase-2: Constrained Group Sparse Representation -- 4 Result and Discussion -- 5 Conclusion -- References -- 24 Comparative Analysis of Stock Prices by Regression Analysis and FB Prophet Models -- 1 Introduction -- 2 Dataset Used for Research Evaluation -- 3 Comparative Analysis of Linear Regression and FB Prophet Models -- 3.1 Linear Regression Model -- 3.2 FB Prophet Model -- 4 Metric Used for Evaluation of Comparative Analysis of Models -- 5 Result and Discussion -- 5.1 Comparative Study -- 6 Conclusion and Future Scope -- References -- 25 g POD-Dual Purpose Device (Dustbin and Cleaning) -- 1 Introduction -- 2 Brief Overview of Dual Purpose Device. , 2.1 Robot Vacuum Cleaner Base.

Additional Edition: Print version: Jacob, I. Jeena Data Intelligence and Cognitive Informatics Singapore : Springer,c2023 ISBN 9789811960031

Language: English