Kooperativer Bibliotheksverbund

UID:

Format: XXIV, 398 p. 219 illus., 171 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9789811617737

Series Statement: Lecture Notes in Networks and Systems, 210

Content: This book features high-quality, peer-reviewed research papers presented at the Fourth International Conference on Smart Technologies in Data Science and Communication (SMART-DSC 2021), held in Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 18-19 February 2021. It includes innovative and novel contributions in the areas of data analytics, communication, and soft computing.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811617720

Additional Edition: Printed edition: ISBN 9789811617744

Additional Edition: Printed edition: ISBN 9789811617751

Language: English

DOI: 10.1007/978-981-16-1773-7

URL: https://doi.org/10.1007/978-981-16-1773-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVI, 194 p. 85 illus., 68 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9789811683640

Series Statement: Advances in Intelligent Systems and Computing, 1419

Content: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2021), organized by Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India during 22 - 24 September 2021. The topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Note: Hybrid Fruitfly Optimization for EHR Applications in cloud environments for load balancing optimization -- Distributed Machine Learning - An Intuitive Approach -- Prediction of Wall Street Through AI Approach -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- Analyzing Comments on social media with XG Boost Mechanism -- Distributed Edge Learning in Emerging Virtual Reality Systems -- A review on Deep Learning Based Object Recognition Algorithms -- A Study on Interaction of Human-Machine in Banking Services during Covid-19 -- A Study on Review of Application of Blockchain Technology in Banking Industry.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811683633

Additional Edition: Printed edition: ISBN 9789811683657

Language: English

DOI: 10.1007/978-981-16-8364-0

URL: https://doi.org/10.1007/978-981-16-8364-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XXIII, 302 p. 161 illus., 135 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789811968808

Series Statement: Lecture Notes in Networks and Systems, 558

Content: This book features high-quality, peer-reviewed research papers presented at the Fifth International Conference on Smart Technologies in Data Science and Communication (SMARTDSC 2022), held Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India, on 16 - 17 June 2022. It includes innovative and novel contributions in the areas of data analytics, communication and soft computing.

Note: A Graph based model for Discovering Host-based hook Attacks -- E-Health Care Patient Information Retrieval and Monitoring System Using SVM -- Number Plate Recognition using Optical Character Recognition (OCA) and Connected Component Analysis (CCA) -- Cartoonify an Image with Open cv using Python -- Web Design as an Important Factor in the Success of a Website -- Earlier Selection of Routes for Data Transfer in both Wired and Wireless Networks.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811968792

Additional Edition: Printed edition: ISBN 9789811968815

Language: English

DOI: 10.1007/978-981-19-6880-8

URL: https://doi.org/10.1007/978-981-19-6880-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XVII, 504 p. 327 illus., 211 illus. in color)

Edition: 1st ed. 2021

ISBN: 9789811595165

Series Statement: Advances in Intelligent Systems and Computing 1280

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-159-515-8

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-159-517-2

Language: English

DOI: 10.1007/978-981-15-9516-5

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XVIII, 318 p. 225 illus., 170 illus. in color)

Edition: 1st ed. 2020

ISBN: 9789811524073

Series Statement: Lecture Notes in Networks and Systems 105

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-152-406-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-152-408-0

Language: English

DOI: 10.1007/978-981-15-2407-3

URL: Volltext  (URL des Erstveröffentlichers)

URL: Buchcover

UID:

Format: 1 online resource (402 pages)

ISBN: 981-16-1773-2

Series Statement: Lecture Notes in Networks and Systems ; Volume 210

Additional Edition: ISBN 981-16-1772-2

Language: English

Keywords: Congressos ; Llibres electrònics

UID:

Format: 1 online resource (317 pages)

ISBN: 981-19-6880-2

Series Statement: Lecture Notes in Networks and Systems Series ; Volume 558

Note: Intro -- Conference Committee Members -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- A Graph-Based Model for Discovering Host-Based Hook Attacks -- 1 Introduction -- 2 Related Works -- 3 Proposed Graph-Based Model -- 3.1 Preliminary Processing Stage -- 3.2 Malware Detection Stage -- 4 Experimental Results and Discussion -- 4.1 Discussion -- 4.2 Limitations -- 5 Conclusions -- References -- E-Health Care Patient Information Retrieval and Monitoring System Using SVM -- 1 Introduction -- 2 Related Works -- 3 Proposed Model in IoT -- 3.1 Microcontroller -- 3.2 Sensors -- 3.3 Blood Pressure Sensor -- 3.4 Temperature Sensor -- 3.5 Three Axis Accelerometer Sensors. -- 3.6 Display Device -- 3.7 Alarm System -- 3.8 SVM Algorithm -- 3.9 Cloud Server -- 4 Proposed Work -- 5 Results and Discussion -- 5.1 Diagnosing Patient in Intensive Care Unit -- 5.2 Sending Notification Through Cloud -- 5.3 Support Vector Machine -- 6 Conclusion -- References -- Number Plate Recognition Using Optical Character Recognition (OCA) and Connected Component Analysis (CCA) -- 1 Introduction -- 1.1 The Purpose of This Paper -- 2 Detection of License Plates -- 2.1 Binarization of Images -- 2.2 Detecting the Edges -- 2.3 Connected Component Analysis (CCA) -- 2.4 Mathematical Morphology -- 2.5 Related Work in the Number Plate Detection -- 3 Character Segmentation -- 4 Character Recognition -- 5 Conclusion -- Bibliography -- Cartoonify an Image with OpenCV Using Python -- 1 Introduction -- 2 Objectives -- 2.1 Filter by Median -- 2.2 Filter Laplacian -- 2.3 Filter by Median -- 3 Implementation -- 3.1 Step by Step Implementation -- 3.2 Statement of the Problem -- 3.3 Advanced Technical Approach -- 4 Proposed System -- 4.1 Challenges and Problem -- 5 Conclusion -- References -- Web Design as an Important Factor in the Success of a Website -- 1 Introduction. , 2 Affective Factors for a Successful Website of e-commerce -- 3 Importance of Webdesign in e-commerce -- 4 Usability -- 5 A Case Study of Totally Blind Persons Interacting on the Internet -- 6 Conclusion -- References -- Earlier Selection of Routes for Data Transfer In Both Wired and Wireless Networks -- 1 Introduction -- 2 Related and Proposed Work -- 3 Modules Description -- 3.1 Path Reservation -- 3.2 Minimum Bandwidth Allocation -- 3.3 Time Management -- 3.4 Admission Control -- 4 Test Cases -- 5 Conclusion -- 6 Future Enhancement -- References -- Identifying River Drainage Characteristics by Deep Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Identifying Various Size and Shape of River Drainage -- 2.2 Generate River Drainage Image by Spatial, Spectral, Angular, and Temporal Model -- 3 Result -- 4 Discussion -- 5 Conclusion -- References -- A Review on Optimal Deep Learning Based Prediction Model for Multi Disease Prediction -- 1 Introduction -- 2 Literature Review -- 3 Review on Traditional Multi-disease Prediction Models -- 4 Methodology -- 5 Conclusion -- References -- A Hybrid Multi-user Based Data Replication and Access Control Mechanism for Cloud Data Security -- 1 Introduction -- 2 Related Works -- 3 Proposed Model -- 4 Experimental Results -- 5 Conclusion -- References -- Leveraging the Goldfinger Attack in Blockchain Based on the Topological Properties -- 1 Introduction -- 2 Study Review -- 3 Contribution of the Study -- 4 Methodology and Design -- 4.1 Peer-To-Peer Network Connectivity -- 5 Implementation -- 5.1 General Network Before the Goldfinger Attack -- 5.2 Results of General Network Before the Goldfinger Attack -- 5.3 Implementation of the Goldfinger Attack -- 6 Results -- 7 Discussion and Analysis -- 8 Conclusion -- References. , Bitcoin Transaction Computational Efficiency and Network Node Power Consumption Prediction Using an Artificial Neural Network -- 1 Introduction -- 2 Study Review -- 3 Contribution of the Study -- 3.1 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Remote Breast Cancer Patient Monitoring System: An Extensive Review -- 1 Introduction -- 2 Related Work on Breast Cancer -- 2.1 Existing Approaches to Detect Breast Cancer: -- 2.2 Popular Datasets Available for Research -- 2.3 Deep Learning Techniques for Early Diagnosis of Breast Cancer -- 3 Challenges and Issues in Remote Monitoring System -- 4 Case Study: A Remote Breast Cancer Patient Monitoring System -- 5 Result and Analysis of Existing Techniques -- 6 Conclusion -- References -- Simplifying the Code Editor Using MEAN Stack Technologies -- 1 Introduction -- 1.1 Why MEAN? -- 2 Related and Proposed Work -- 2.1 Existing Systems -- 2.2 Proposed System -- 3 Results and Sample OUTPUT Screens -- 4 Conclusion -- References -- Prediction and Identification of Diseases to the Crops Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Motivation -- 4 Proposed System -- 5 Flowchart -- 6 Algorithms, Dataset Used, and Accuracy Comparison -- 7 Conclusion -- References -- Pulse-Based Smart Electricity Meter Using Raspberry Pi and MEFN -- 1 Introduction -- 2 Literature -- 3 Proposed Methodology -- 4 System Design -- 5 Conclusion -- References -- Brain Tumor Segmentation Using U-Net -- 1 Introduction -- 1.1 Brain Tumor Modalities -- 2 Literature Review -- 3 Materials and Methods -- 3.1 U-Net Architecture -- 3.2 Fully Convolutional Network -- 4 Results and Discussions -- 5 Conclusion -- References -- An Empirical Study of CNN-Deep Learning Models for Detection of Covid-19 Using Chest X-Ray Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset. , 2.2 Model Formulation -- 3 Experimental Results -- 3.1 Evaluation Matrices -- 3.2 Comparison of Various CNN-DL Models -- 3.3 Comparison of Various CNN-DL Models -- 4 Conclusion -- References -- Detection of Eye Blink Using SVM Classifier -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Face Detection -- 3.2 Eye Pair Detection -- 3.3 Classification Using SVM Model -- 4 Results and Discussions -- 5 Conclusion -- References -- A Novel Approach for Health Analysis Using Machine Learning Approaches -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Decision Tree -- 3.2 Naïve Bayesian -- 3.3 Random Forest -- 3.4 K-Nearest Neighbor (KNN) -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- Classification of Healthy and Diseased Lungs by Pneumonia Using X-Rays and Gene Sequencing With Deep Learning Approaches -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Convolutional Neural Network (CNN) -- 3.2 Inception V3 Model -- 4 Proposed Model -- 5 Results and Discussions -- 6 Proof of Concept -- 6.1 POC Architecture -- 6.2 POC Design -- 6.3 Result -- 7 Conclusion and Future Work -- References -- Breast Cancer Classification Using Improved Fuzzy C-Means Algorithm -- 1 Introduction -- 2 Proposed Work -- 2.1 Pre-processing -- 2.2 Labels and Other Artifacts Removal from the Background -- 2.3 Removing of Pectoral Muscle -- 2.4 Enhancement of Image -- 2.5 Measurement of PSNR Value and MSE Value -- 3 Optimization Segmentation -- 3.1 Optimization Using Independent Search Krill Herd Technique -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Repercussions of Incorporating Filters in CNN Model to Boost the Diagnostic Ability of SARS-CoV-2 Virus Using Chest Computed Tomography Scans -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 3.1 Algorithm. , 4 Results and Analysis -- 4.1 Dataset Execution -- 4.2 Graphical Representation of Accuracy and Loss Attained -- 4.3 Comparing the Model with Latest Methods -- 4.4 Graphical Representation of Comparing the Model with Related Methods -- 5 Conclusion -- References -- Software Development Estimation Cost Using ANN -- 1 Introduction -- 2 Estimation Model Performance -- 3 Artificial Neural Network Models -- 4 Network Performance Evaluation -- 4.1 Performance Measurement -- 4.2 Simulated Development Data -- 5 Conclusion -- Bibliography -- A Generic Flow of Cyber-Physical systems-A Comprehensive Survey -- 1 Introduction -- 2 CPS Evolution -- 3 Applications -- 4 CPS Models -- 5 Security Models -- 6 CPS Properties -- 7 Challenges in CPS -- 8 Model-Driven Conceptual Approaches -- 9 Conclusion -- References -- Mental Disorder Detection in Social Networks Using SVM Classification: An Improvised Approach -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 5 Methodology -- 5.1 OSN Framework Construction -- 5.2 Data Collection -- 5.3 Pre-Processing -- 5.4 Feature Extraction -- 6 Conclusion -- 7 Future Work -- References -- An Enhanced K-Means Clustering Algorithm to Improve the Accuracy of Clustering Using Centroid Identification Based on Compactness Factor -- 1 Introduction -- 2 Related Works -- 3 Centroid Recognition Based on Compactness -- 3.1 The Improved k-means Clustering Algorithm Using Regional Centroid Component (RCC) -- 4 Results and Discussion -- 5 Conclusion -- References -- Prediction of Chronic Kidney Disease with Various Machine Learning Techniques: A Comparative Study -- 1 Introduction -- 2 Literature Review -- 3 Materials and Method -- 4 Results and Discussion -- 5 Conclusion -- References -- Blockchain and Its Idiosyncratic Effects on Energy Consumption and Conservation -- 1 Introduction -- 1.1 Applications. , 2 Literature Review.

Additional Edition: Print version: Ogudo, Kingsley A. Smart Technologies in Data Science and Communication Singapore : Springer,c2023 ISBN 9789811968792

Language: English

UID:

Format: 1 online resource (198 pages)

ISBN: 981-16-8363-8 , 981-16-8364-6 , 981-16-8364-6

Series Statement: Advances in Intelligent Systems and Computing ; v.1419

Note: Intro -- Conference Committee Members -- Preface -- Contents -- About the Editors -- Hybrid Fruit Fly Optimization for EHR Applications in Cloud Environments for Load Balancing Optimization -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Technology Requirements -- 3.2 Implementation -- 4 Results -- 5 Conclusion -- References -- Distributed Machine Learning-An Intuitive Approach -- 1 Introduction -- 2 Challenges with Machine Learning Computing -- 3 What to Distribute? -- 4 How to Distribute? -- 5 Challenges in Distribution -- 6 Case Study: Support Vector Machine -- 7 Conclusions -- References -- Prediction of Wall Street Through AI Approach -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Yahoo Finance -- 3.2 Dataset Input -- 3.3 Data Visualization -- 3.4 Algorithms Used for Prediction -- 3.5 Performance Evaluation -- 4 Conclusion -- References -- A Hybrid Intelligent Approach for Early Identification of Different Diseases in Plants -- 1 Introduction -- 1.1 Types of Diseases in Classification -- 2 Related Work -- 3 Proposed Work -- 4 Feature Extraction -- 5 Role of Clustering and Classification -- 6 Algorithm -- 7 Results and Discussion -- 8 Conclusion -- References -- Analyzing Comments on Social Media with XG Boost Mechanism -- 1 Introduction -- 1.1 Sentiment Analysis Techniques -- 1.2 Lexicon Based Approach -- 1.3 Comparison -- 2 Literature Review -- 3 Results and Discussions -- 4 Conclusion -- References -- Distributed Edge Learning in Emerging Virtual Reality Systems -- 1 Introduction -- 2 Literature Review -- 3 Method -- 3.1 VR Systems -- 3.2 MEC -- 3.3 A Model for VR Systems Based on Edge Computing -- 3.4 Simulation Analysis -- 4 Results and Discussions -- 4.1 Comparison of Task Offloading Performance Among Models -- 5 Conclusion -- References. , A Review on Deep Learning-Based Object Recognition Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Results and Analysis -- 4 Conclusion and Future Work -- References -- A Study on Human-Machine Interaction in Banking Services During COVID-19 -- 1 Introduction -- 1.1 Research Problem -- 1.2 Objectives of the Study -- 1.3 Research Methodology -- 2 Review of Literature -- 3 Theoretical Framework -- 3.1 What Are Human-Machine Interactions? -- 3.2 Advantages of HMI [16] -- 3.3 Disadvantages of Human-Machine Interface [16] -- 4 Results and Discussions -- 5 Conclusion -- References -- A Study on Review of Application of Blockchain Technology in Banking Industry -- 1 Introduction -- 2 What is a Blockchain? -- 2.1 What is Distributed Ledger Technology? [3] -- 2.2 Transaction in Blockchain -- 2.3 Growth in Blockchain Technology -- 3 Applications of Blockchain in Various Sectors -- 4 Blockchain in Banking -- 5 Banks Adopting Blockchain Technology -- 6 Results and Discussion -- 7 Conclusion -- References -- Face Expression Recognition in Video Using Hybrid Feature Extractor and CNN-LSTM -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 3 Methodology -- 3.1 Preprocessing of Video and Face Detection -- 3.2 Extraction of the Hybrid Features -- 3.3 FER Using Hybrid CNN-LSTM Classifier -- 4 Results and Discussion -- 4.1 Evaluation Metrics -- 4.2 Result Analysis -- 5 Conclusion -- References -- Two-Node Tandem Communication Networks to Avoid Congestion -- 1 Introduction -- 2 Queuing Model -- 3 Optimal Strategies of the Representation -- 4 Numerical Illustration and Sensitivity Analysis -- 5 Sensitivity Investigation -- 6 Conclusion -- References -- Detection of Fake Profiles in Instagram Using Supervised Machine Learning -- 1 First Section -- 1.1 Proposed Methodology -- 2 Literature Survey -- 2.1 Dataset Information -- 2.2 Data Collection. , 2.3 Dataset Annotation -- 3 Experimental Results -- 4 Conclusion -- References -- Review on Space and Security Issues in Cloud Computing -- 1 Introduction -- 2 Cloud Storage Models -- 3 Safety and Security Issues of Cloud Storage Space -- 4 Conclusion -- References -- Anomaly Detection in Solar Radiation Forecasting Using LSTM Autoencoder Architecture -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Work -- 4 Results and Implementation -- 5 Conclusion -- References -- Medical Image Denoising Using Non-Local Means Filtering -- 1 Introduction -- 2 Related Work -- 2.1 Method -- 3 Results -- 4 Conclusion -- References -- Skin Disease Detection Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work Analysis -- 3 Proposed Work -- 3.1 Modules -- 4 Results -- 5 Conclusions -- References -- Detecting False Data Attacks Using KPG-MT Technique -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Results and Discussions -- 5 Conclusion -- References -- Utilization of Machine Learning Techniques in Pharma -- 1 Introduction -- 2 Disease Diagnosis or Identification of Disease -- 3 The Discovery of Drugs -- 4 The Prediction of Diseases -- 5 Research on Clinical Trials -- 6 Treatment Related to Personnel -- 7 Health Records Storing on Electronic Models -- 8 Conclusion -- References -- New Event Detection for Web Recommendation Using Web Mining -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodologies -- 4 Conclusion -- References -- An Automatic Convolution Neural Network-Based Framework for Robust Classification of Breast Cancer Histopathological Images -- 1 Introduction -- 2 Literature Survey -- 2.1 Breast Cancer Prediction Using Data Mining Method -- 2.2 By Means of Machine Learning Instrument in Categorization of Breast Cancer. , 2.3 Analytic Correctness of Dissimilar Machine Learning Algorithms for Breast Cancer Danger Computation -- 2.4 By Means of Machine Learning Algorithms for Breast Cancer Danger Forecast and Analysis -- 2.5 Machine Learning with Request in Breast Cancer Analysis and Forecast -- 3 System Implementation -- 3.1 Proposed System -- 3.2 Feature Extraction -- 4 Conclusion -- References -- Big Data Analytics Services in Health Care: An Extensive Review -- 1 Introduction -- 2 Related Work -- 2.1 Data Mining in Medical Sector -- 2.2 Privacy Issues of Big Data in the Medical Sector -- 2.3 Privacy Problem Solutions in Medical Sector -- 3 Methodology -- 3.1 Security Measures of Healthcare Using Big Data -- 3.2 Privacy Assessment Model -- 3.3 Architecture -- 4 Experimental Results -- 5 Discussion -- 6 Conclusion -- References -- Facial Expression Recognition Model Using Deep CNN and Hybrid Feature Selection Pre-processing Technique -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Model Description -- 3.2 Model Data Flow -- 3.3 Proposed Algorithm -- 4 Experimentation and Results -- 4.1 Dataset and Experimental Setup -- 4.2 Graphical Representation of Results -- 4.3 Comparison Table -- References -- Coronavirus (COVID-19) Detection and Classification Using High Resolution Computed Tomography (HR-CT) Imageries -- 1 Introduction -- 2 Methods -- 3 Experimental Results -- 4 Conclusion -- References -- Author Index.

Additional Edition: Print version: Bhattacharyya, Debnath Machine Intelligence and Soft Computing Singapore : Springer Singapore Pte. Limited,c2022 ISBN 9789811683633

Language: English

UID:

Format: XVII, 504 p. 327 illus., 211 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9789811595165

Series Statement: Advances in Intelligent Systems and Computing, 1280

Content: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan's Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Note: A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images -- A Survey on Techniques for Android Malware Detection -- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review -- Prediction of Diabetes using Ensemble Learning Model -- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement -- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning -- Comparative Analysis of Machine Learning Models on Loan Risk Analysis -- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements -- Accurate Prediction of Fake Job Offers Using Machine Learning -- Emotion Recognition through Human Conversation using Machine Learning Techniques.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811595158

Additional Edition: Printed edition: ISBN 9789811595172

Language: English

DOI: 10.1007/978-981-15-9516-5

URL: https://doi.org/10.1007/978-981-15-9516-5

UID:

Format: 1 online resource (XVII, 504 p. 327 illus., 211 illus. in color.)

Edition: 1st ed. 2021.

ISBN: 981-15-9516-X

Series Statement: Advances in Intelligent Systems and Computing, 1280

Content: This book gathers selected papers presented at the International Conference on Machine Intelligence and Soft Computing (ICMISC 2020), held jointly by Vignan’s Institute of Information Technology, Visakhapatnam, India and VFSTR Deemed to be University, Guntur, AP, India during 03-04 September 2020. Topics covered in the book include the artificial neural networks and fuzzy logic, cloud computing, evolutionary algorithms and computation, machine learning, metaheuristics and swarm intelligence, neuro-fuzzy system, soft computing and decision support systems, soft computing applications in actuarial science, soft computing for database deadlock resolution, soft computing methods in engineering, and support vector machine.

Note: Includes index. , A Comparative Study on Automated Detection of Malaria by Using Blood Smear Images -- A Survey on Techniques for Android Malware Detection -- Comparative Analysis of Prevalent Disease by Pre-processing Techniques using Big Data and Machine Learning: An Extensive Review -- Prediction of Diabetes using Ensemble Learning Model -- Improve K-Mean Clustering Algorithm in Large Scale Data for Accuracy Improvement -- A Novel Approach to Predict Cardiovascular Disease Using Machine Learning -- Comparative Analysis of Machine Learning Models on Loan Risk Analysis -- Compact MIMO Antenna for Evolving 5G Applications with Two / Four Elements -- Accurate Prediction of Fake Job Offers Using Machine Learning -- Emotion Recognition through Human Conversation using Machine Learning Techniques.

Additional Edition: ISBN 981-15-9515-1

Language: English

DOI: 10.1007/978-981-15-9516-5