Kooperativer Bibliotheksverbund

UID:

Format: VII, 342 p. 244 illus., 171 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031430091

Series Statement: Studies in Computational Intelligence, 1117

Content: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain-computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Note: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031430084

Additional Edition: Printed edition: ISBN 9783031430107

Additional Edition: Printed edition: ISBN 9783031430114

Language: English

Subjects: Computer Science

DOI: 10.1007/978-3-031-43009-1

URL: https://doi.org/10.1007/978-3-031-43009-1

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (X, 180 p. 86 illus., 62 illus. in color)

Edition: 1st ed. 2022

ISBN: 9789811951978

Series Statement: Advanced Technologies and Societal Change

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-96-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-98-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-99-2

Language: English

DOI: 10.1007/978-981-19-5197-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (337 pages)

Edition: First edition.

ISBN: 3-031-43009-3

Series Statement: Studies in Computational Intelligence Series ; Volume 1117

Note: Intro -- Contents -- Implementation of Improved High Speed SHA-256 Algorithm from RTL to GDSII Using Verilog HDL -- 1 Introduction -- 2 Normative SHA-256 System Architecture -- 2.1 Padding the Input Message (M) -- 2.2 Parsing the Padded Input -- 2.3 Message Scheduling Function -- 2.4 Mechanism of Message Compression -- 2.5 Intermediate Hash Generation -- 3 Improved SHA-256 System Architecture -- 3.1 Proposed Work -- 4 Reducing 3 Adders to 2 Adders in Message Scheduling -- 5 Reducing 11 Adders to 5 Adders in Message Compression -- 6 Results of Simulation and Synthesis Reports -- 6.1 Simulation Results -- 6.2 Synthesis Results -- 7 Conclusion -- References -- Effect of Social Networking Advertisements (SNAs) on Attitudes and Purchase Intention Towards Brand Products -- 1 Introduction -- 2 Review of Literature -- 3 Objectives of the Study -- 4 Significancy of the Study -- 5 Research Methodology -- 6 Conceptual Model -- 7 Data Analysis -- 8 Findings of the Study -- 9 Conclusion -- 10 Future Direction of the Study -- References -- Design of Optimal Waste Management System Using IOT and Machine Learning Technique in Educational Institutions -- 1 Introduction -- 2 Literature Survey -- 3 Existing Methodology -- 4 Proposed Methodology -- 5 Experimental Results -- 6 Conclusion -- References -- Detection of COVID-19 Based on Deep Learning Methods: A Critical Review -- 1 Introduction -- 2 Literature Review -- 3 Conclusion -- References -- Performance Evaluation of GA, HS, PSO Algorithms for Optimizing Area, Wirelength Using MCNC Architectures -- 1 Introduction -- 2 Literature Review -- 3 Simulation Results -- 3.1 Simulation Results of MCNC Benchmark Circuits for PSO Algorithm -- 3.2 Simulation Results of MCNC Benchmark Circuits for Genetic Algorithm -- 3.3 Simulation Results of MCNC Benchmark Circuits for HS Algorithm -- 4 Statistical Comparison. , 5 Conclusion -- References -- An Enhanced Woelfel Image Noise Filter -- 1 Introduction -- 1.1 Need and Significance of the Proposed Work -- 2 Proposed Methodology -- 3 Conclusion -- References -- MHD Convective Flow of Chemically Reacting Viscoelastic Fluid Through an Infinite Inclined Plate via Machine Learning -- 1 Introduction -- 2 Formulation of the Model Problem -- 3 Method of Solution -- 4 Results and Findings -- 5 Conclusions -- References -- Improved Stockwell Transform for Image Compression and Reconstruction -- 1 Introduction -- 2 Review of Literature -- 3 Methodology & -- Implementation -- 3.1 Visual Data Base Collection -- 3.2 Implementation of Algorithms -- 3.3 Testing -- 3.4 Analysis -- 3.5 Modified Algorithm -- 3.6 Test Modified Algorithm -- 3.7 Expected Outcome -- 4 Experimental Investigation and Analysis -- 5 Conclusion -- References -- Facemask Detection Using Bounding Box Algortihm Under COVID-19 Circumstances -- 1 Introduction -- 2 Methodology -- 3 Design and Process Flow of Implementation -- 4 Experimental Investigations -- 5 Conclusion -- References -- Accelerated Addition in Resistive Ram Array Using Parallel-Friendly Majority Gates -- 1 Introduction -- 2 QCA Overview -- 3 Existing RAM Cell -- 4 Proposed RAM Cell -- 5 Simulation Results -- 6 Conclusion -- References -- Optimization of Area and Wirelength Using Hybrid BPSO Algorithm in VLSI Floorplan and Placement for IC Design -- 1 Introduction -- 1.1 Background -- 1.2 Objectives -- 1.3 Need and Importance -- 2 Literature Review -- 2.1 Drawbacks -- 3 Methodology -- 3.1 Existing Method -- 3.2 Proposed Method -- 4 Implementation Tool -- 5 Results and Discussion -- 5.1 Output 1 -- 5.2 Output 2 -- 5.3 Output 3 -- 5.4 Comparative Results -- 6 Conclusion -- References -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- 1 Introduction -- 2 Literature Review. , 3 Methodology and Process Flow -- 4 Results and Analysis -- References -- Food Detection with Image Processing Using Convolutional Neural Network (CNN) -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Existing Method -- 3.2 Proposed Method -- 4 Conclusion -- References -- Google Appstore Data Classification Using ML Based Naïve's Bayes Algorithm: A Review -- 1 Introduction -- 2 Literature Review -- 2.1 Random Forest Algorithm Based on Data Classification-Machine Learning -- 2.2 Classification of Data Using Decision Tree Classifier-Machine Learning Techniques -- 3 Classification of Data Using Support Vector Machines-Machine Learning -- 4 Classification Using Logistic Regression Algorithm-Machine Learning -- 5 Data Classification Using KNN Algorithm-Machine Learning -- 6 Limitations -- References -- Improved Spectral Efficiency Using Vehicular Visible Light Communication with 16-Bit DCO in OFDM -- 1 Introduction -- 2 Literature Review -- 3 Existing Methodology -- 4 Proposed Methodology -- 5 Results -- 6 Conclusion -- References -- Modelling of Symmetrical 13 Level and Asymmetrical 31 Level Generalized Cascaded Multilevel Inverters -- 1 Introduction -- 2 Proposed Sub Multilevel Inverter Topology -- 3 Proposed Generalized Cascaded Multilevel Inverter Topology -- 4 Seven Level Multi Level Inverters -- 4.1 Conventional Seven Level Cascaded H-Bridge MLI -- 5 Modulation Method -- 6 Symmetrical 13 Level Proposed Generalized Cascaded MLI -- 7 Proposed Asymmetrical 31 Level Generalized Cascaded MLI -- 8 Conventional Single Phase 31 Level Cascaded MLI -- 9 Modeling of Three Phase Induction Motor -- 10 Simulation Results and Analysis -- 11 Conclusion -- References -- Improved Radix-4 Fast Fourier Transform Algorithm Used for Wireless Communication -- 1 Introduction -- 2 General Radix-4 Algorithm -- 3 Improved Radix-4 Algorithm. , 4 Simulation Results -- 5 Conclusion -- References -- Methodologies in Steganography and Cryptography-Review -- 1 1. Introduction -- 2 2. Steganography versus cryptography -- 3 Methodologies -- 4 Conclusion -- References -- Study of Secure Data Transmission-Based Wavelets Using Steganography and Cryptography Techniques -- 1 Introduction -- 2 Background -- 3 Approaches Used by Existing Researchers -- 3.1 RSA Algorithm -- 4 Steganography Based Data Transmission -- 5 Data Transfer Using Video Steganography -- 6 Image Steganography for Data Transmission -- 7 Data Transmission Using Image Cryptography -- 8 Data Transmission Using Cryptography -- 9 Error Metrics -- 10 Conclusions -- References -- A Review: Object Detection and Classification Using Side Scan Sonar Images via Deep Learning Techniques -- 1 Introduction -- 2 Object Detection in Underwater -- 2.1 SSS Images -- 3 Pipeline Detection in Underwater -- 4 Other Existing Literature Studies in Underwater Object Detection -- 5 Overall State-of-Art -- 6 Conclusion -- References -- Analysis of High Performance Optical Networks Using Dense Wavelength-Division Multiplexing Application -- 1 Introduction -- 2 Related Work -- 3 Materials and Method -- 3.1 Source Information (Input) and Electrical Stage Transmitter -- 3.2 Optical Network -- 3.3 Photodetector -- 3.4 Dense Wavelength-Division Multiplexing (DWDM) -- 4 Result and Discussion -- 5 Conclusion -- References -- Wireless Sensor Network to Improve Security Performance and Packet Delivery Ratio Using FCL-Boost Based Classification Method -- 1 Introduction -- 1.1 Machine Learning Algorithm -- 1.2 Security Level of Methods -- 1.3 Wireless Sensor Network Behavior -- 2 Related Works -- 3 Materials and Methods -- 3.1 Collection of Data From the Classifier -- 3.2 Classifier-Based Ensemble Classifier: FCLBoost.L1. , 3.3 Functional Integrated Classifier: FCLBoost.L2 -- 3.4 Route Energy Path -- 4 Result and Discussion -- 4.1 Implementation and Experimental Results -- 4.2 FCL-Boost Network Performance -- 4.3 Time Complexity -- 4.4 Average Throughput -- 4.5 Packet Transfer Ratio -- 5 Conclusion -- References -- To Analyse the Impact of Integration of Wind and Solar Power Generation System for Uttarakhand, Haryana and Rajasthan: A Scope of Machine Learning -- 1 Introduction -- 1.1 Energy Crisis and Renewable Energy Use -- 1.2 Integration of Machine Learning -- 2 Renewable Energy Sources Distribution -- 3 Recent Method and Techniques Used in Hybrid Renewable Energy System -- 4 Hybrid Renewable Energy System for Different Geographical Condition -- 4.1 Status of Hybrid System Power Generation System for Uttarakhand, Haryana, and Rajasthan -- 4.2 Analyse the Wind and Solar Power Generation System for Uttarakhand, Haryana, and Rajasthan -- 5 Scope of Research and Adoptability of Machine Learning -- 6 Conclusion and Future Scope -- References -- VLSI Implementation of an 8051 Microcontroller Using VHDL and  Re-Corrective Measure Using AI -- 1 Introduction -- 2 Background -- 3 Proposed Architecture and Methodology -- 4 Implementation and Result -- 5 Corrective Measure Using AI in VLSI Implementation of an 8051-Microcontroller -- 6 Conclusion and Future Scope -- References -- K-Mean Energy Efficient Optimal Cluster Based Routing Protocol in Vehicular Ad-Hoc Networks -- 1 Introduction -- 2 Related Works -- 2.1 Energy Efficient Clustering Methods -- 2.2 Machine Learning Based Energy Efficient -- 3 Proposed Energy Consumption Model and K-means Clustering Algorithms -- 4 Process of K-Means Clustering -- 5 Evaluation Metrics -- 6 Conclusion -- References -- Dandelion Algorithm for Optimal Location and Sizing of Battery Energy Storage Systems in Electrical Distribution Networks. , 1 Introduction.

Additional Edition: Print version: Gunjan, Vinit Kumar Modern Approaches in Machine Learning and Cognitive Science: a Walkthrough Cham : Springer International Publishing AG,c2024 ISBN 9783031430084

Language: English

UID:

Format: 1 Online-Ressource (X, 180 p. 86 illus., 62 illus. in color).

Edition: 1st ed. 2022

ISBN: 978-981-1951-97-8

Series Statement: Advanced Technologies and Societal Change

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-96-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-98-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-99-2

Language: English

DOI: 10.1007/978-981-19-5197-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (X, 180 p. 86 illus., 62 illus. in color).

Edition: 1st ed. 2022

ISBN: 978-981-1951-97-8

Series Statement: Advanced Technologies and Societal Change

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-96-1

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-98-5

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1951-99-2

Language: English

DOI: 10.1007/978-981-19-5197-8

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 online resource (337 pages)

Edition: 1st ed. 2024.

ISBN: 3-031-43009-3

Series Statement: Studies in Computational Intelligence, 1117

Content: This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development. The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering. Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.

Note: Effect of Social Networking Advertisements (SNAs) On Attitudes and Purchase Intention towards Brand Products -- Design of Optimal Waste Management System using IOT and Machine Learning Technique in Educational institutions -- An enhanced Woelfel Image Noise Filter -- PAPR and SER Performance Analysis of OFDMA and SCFDMA -- VLSI Implementation of an 8051 Microcontroller using VHDL and Re- corrective Measure using AI -- A survey of Internet of Things frameworks for crowd management system.

Additional Edition: Print version: Gunjan, Vinit Kumar Modern Approaches in Machine Learning and Cognitive Science: a Walkthrough Cham : Springer International Publishing AG,c2024 ISBN 9783031430084

Language: English

DOI: 10.1007/978-3-031-43009-1