Kooperativer Bibliotheksverbund

UID:

Umfang: VIII, 580 p. 280 illus., 195 illus. in color. , online resource.

Ausgabe: 1st ed. 2023.

ISBN: 9783031131509

Serie: Lecture Notes in Networks and Systems, 521

Inhalt: This multidisciplinary book delves into information systems' concepts, principles, methods and procedures and their innovative applications in management science and other domains, including business, industry, health care and education. It will be valuable to students, researchers, academicians, developers, policymakers and managers thriving to improve their information and management systems, develop new strategies to solve complex problems and implement novel techniques to utilise the massive data best. This book of Information Systems and Management Science (proceedings of ISMS 2021) is intended to be used as a reference by scholars, scientists and practitioners who collect scientific and technical contributions concerning models, tools, technologies and applications in the field of information systems and management science. This book shows how to exploit information systems in a technology-rich management field.

Anmerkung: LSTM Based Advanced Fake News detection -- Effect of Entrepreneurial Education on Entrepreneurial Intention: Mediating role of Entrepreneurs Personality Traits -- Dress Pattern Classification using ResNet based Convolutional Neural Networks -- Simulation of Internet of Things Network for Big Data Analytics -- An Empirical Review on Brain Tumor Classification Approaches -- An approach for Theft Detection and Alerting System.

In: Springer Nature eBook

Weitere Ausg.: Printed edition: ISBN 9783031131493

Weitere Ausg.: Printed edition: ISBN 9783031131516

Sprache: Englisch

DOI: 10.1007/978-3-031-13150-9

URL: https://doi.org/10.1007/978-3-031-13150-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Umfang: 1 online resource (589 pages)

ISBN: 3-031-13150-9

Serie: Lecture notes in networks and systems ; Volume 521

Anmerkung: Intro -- Contents -- The Sentiment Analysis for Hindi Language Using Convolution Neural Network and Deep Belief Network -- 1 Introduction -- 2 Related Work -- 3 Concept Behind Neural Networking -- 3.1 Convolutions Neural Network -- 4 Implementation -- 4.1 Tool Used -- 4.2 Working of the System -- 5 Experimental Setup -- 6 Result and Discussion -- 6.1 Comparison -- 7 Conclusion and Future Work -- References -- An Empirical Review on Brain Tumor Classification Approaches -- 1 Introduction -- 2 Review of Some Existing Methods -- 2.1 Brain tumor detection based on Machine-learning techniques -- 2.2 Brain Tumor Detection based on Fuzzy Approach -- 2.3 Brain Tumor Detection based on Ensemble-Learning Techniques -- 2.4 Brain Tumor Detection based on Hybrid Approach -- 2.5 Brain Tumor Detection based on Deep-Learning Techniques -- 3 Analysis and Discussion -- 3.1 Analysis Based on Dataset -- 3.2 Analysis based on Performance Metrics -- 4 Existing Gap and Challenges -- 4.1 Challenges Experienced in Deep Learning Techniques -- 4.2 Challenges Experienced in Machine Learning techniques -- 5 Conclusion -- References -- Obstacle Finding and Path Planning of Unmanned Vehicle by Hybrid Techniques -- 1 Introduction -- 2 A* Methodology -- 2.1 Parameters of A* Algorithm -- 3 Fuzzy-Logic Algorithm -- 4 Fuzzy Inference Parameter -- 4.1 Concept of Defuzzification -- 5 Concept of Hybrid A*-Fuzzy Controller -- 6 Analysis and Result of A*-Fuzzy Hybrid Controller -- 7 Conclusion and Future Work -- References -- Simulation of Internet of Things Network for Big Data Analytics -- 1 Introduction -- 2 Importance of Bigdata -- 3 Characteristics of Bigdata -- 3.1 Volume -- 3.2 Velocity -- 3.3 Variety -- 4 Data Analytics and its Types -- 4.1 Descriptive Analytics -- 4.2 Diagnostic Analysis -- 4.3 Predictive Analysis -- 4.4 Prescriptive Analysis. , 5 Data Analytics in IoT: Simulation using Contiki OS and Cooja Emulator -- 5.1 Data Analytics using Hadoop MapReduce -- 5.2 Data Collection -- 5.3 Data Loading -- 5.4 Data analysis -- 5.5 Knowledge Extraction -- 5.6 Input data -- 5.7 Mapreduce Implementation -- 6 Conclusion -- References -- Mirai Botnet Attacks on IoT Applications: Challenges and Controls -- 1 Introduction -- 2 Literature Survey -- 3 Internet of Things Layer Architecture -- 3.1 Application Layer -- 3.2 Middleware Layer -- 3.3 Network Layer -- 3.4 Perception Layer -- 4 IoT Applications -- 4.1 Smart Home -- 4.2 Smart City -- 4.3 Smart Agriculture -- 4.4 Smart Industry -- 4.5 Smart Transport -- 4.6 Smart Healthcare -- 5 Attacks on IoT Applications -- 5.1 Mirai Botnet -- 5.2 DDoS -- 5.3 Malicious Code Injection -- 5.4 Ransomware -- 6 Mirai Botnet Attacks on IoT -- 7 Detection Methods -- 7.1 Machine Learning -- 7.2 Cryptography -- 7.3 Bio-Inspired Computing Techniques -- 8 Bio-Inspired Computing Framework for IoT Botnet Attacks -- 9 Performance Evolution -- 10 Conclusion -- References -- Machine Learning for Recognition and Classification of Visual Art Architecture: A Survey -- 1 Introduction -- 2 Related Work -- 2.1 Classification of Monuments -- 2.2 Detection of Monuments -- 2.3 Analysis of Sentiments Related to Monuments -- 3 Description and Comparative Study of Research Works -- 4 Result Analysis -- 5 Conclusion and Future Work -- References -- Technology Aspects of Artificial Intelligence: Industry 5.0 for Organization Decision Making -- 1 Introduction -- 2 Related Work -- 2.1 Industry 5.0 -- 2.2 Decision Making -- 2.3 Human Role in Organizational Decision Making -- 2.4 Technology Role in Organizational Decision Making -- 3 Human-Machine Collaboration -- 4 Role of Explainable Artificial Intelligence in Decision Making -- 5 Challenge and Future Directions -- 6 Conclusion -- References. , Dress Pattern Classification Using ResNet Based Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Convolutional Neural Networks -- 4 ResNet152 -- 5 Dataset Pre-processing -- 6 Model Description -- 6.1 Model Training -- 6.2 Model Compilation -- 6.3 Model Fitting -- 7 Evaluation Metrics -- 8 Experimental Setup and Results -- 8.1 Experimental Results -- 9 Conclusion -- References -- An Efficient MR Images Based Analysis to Predict Alzheimer's Dementia Stage Using Random Forest Classifier -- 1 Introduction -- 2 Motivation -- 3 Key Contribution -- 4 Material and Method -- 5 Results and Discussion -- 6 Conclusion -- References -- EMG Pattern Recognition: A Systematic Review -- 1 Introduction -- 2 EMG Pattern Recognition Process -- 3 Related Work -- 4 Discussion -- 5 Conclusion -- References -- Image Generation Using GPT-2 -- 1 Introduction -- 2 Literature Review -- 3 Proposed Method -- 3.1 Dataset -- 3.2 Workflow -- 3.3 Procedure -- 3.4 Encoding/Decoding the Images -- 3.5 GPT -- 3.6 Evaluation Metric: FID (Fréchet Inception Distance) -- 4 Results and Discussion -- 4.1 Variation of FID Score with Training Data Size -- 4.2 Comparison of FID scores -- 5 Conclusion and Future Work -- References -- LightMobileNetV2: A Lightweight Model for the Classification of COVID-19 Using Chest X-Ray Images -- 1 Introduction -- 1.1 Background -- 2 Methodology -- 2.1 Deep Learning Model: MobileNetV2 -- 2.2 Dataset Used -- 2.3 Proposed Model -- 2.4 Experimental Settings -- 3 Results -- 4 Conclusion -- References -- Intention to Adopt E-Grocery Shopping Service in Vietnam During Covid-19 Pandemic -- 1 Introduction -- 2 Development -- 2.1 E-Grocery Shopping as Electronic Service -- 2.2 Theory of Planned Behavior and the Technology Acceptance Model -- 2.3 Hypotheses Developement -- 3 Research Method -- 4 Results -- 4.1 Descriptive Analysis. , 4.2 Reliability Analysis -- 4.3 Exploratory Factor Analysis -- 4.4 Correlation Analysis and Multivariate Regression -- 5 Conclusion -- 5.1 Discussion -- 5.2 Magerial Implications -- References -- Optimizing the Compressive Strength of Concrete with Altered Compositions Using Hybrid PSO-ANN -- 1 Introduction -- 2 Data Description -- 2.1 Data Preparation -- 2.2 Performance Evaluation -- 3 Methodology -- 3.1 Artificial Neural Network -- 3.2 Particle Swarm Optimization-Artificial Neural Network -- 4 Results and Discussions -- 5 Conclusion -- References -- Adaptive Strategies for Multicriteria Auctions: An Empirical Study -- 1 Introduction -- 2 Related Works -- 3 Auction Model -- 3.1 Preference Model -- 3.2 Aggregation Model -- 4 The Auction System -- 4.1 Properties -- 5 Experimental Settings -- 5.1 Interaction Protocol and Global Parameters -- 5.2 Buyer Agent -- 5.3 Supplier Agents -- 5.4 Parameter Settings -- 5.5 Parameter Analysis -- 6 Conclusion -- References -- Crowd Management System Based on Hybrid Combination of LSTM and CNN -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Experimental Setup and Result Analysis -- 5 Conclusion and Future Work -- References -- Facial Liveness Detection in Biometrics: A Multivocal Literature Review -- 1 Introduction -- 2 Background -- 2.1 Biometric -- 3 Research Methodology -- 4 Result -- 5 Conclusion and Future Work -- References -- An Innovative User Authentication Method: Replacements of Text Based Passwords -- 1 Introduction and Literature Review -- 2 Proposed Method -- 3 Security Analysis and Advantages -- 4 Conclusion and Future Scope -- References -- Analysis and Survey of Soil Moisture Prediction Techniques for Agricultural Applications -- 1 Introduction -- 2 Categorization of Soil Moisture Prediction Methods -- 2.1 Conventional Methods of Soil Moisture Prediction. , 2.2 Remote Sensing Based Methods of Soil Moisture Prediction -- 2.3 Machine Learning Based Methods of Soil Moisture Prediction -- 2.4 Deep Learning Based Methods of Soil Moisture Prediction -- 3 Discussion and Analysis -- 3.1 Analysis Based on Metrics -- 3.2 Analysis Based on Dataset Used -- 3.3 Achievements -- 3.4 Survey of Papers Under Consideration -- 4 Research Gap and Challenges -- 4.1 Conventional Methods -- 4.2 Methods Based on Remote Sensing -- 4.3 Machine Learning Based Methods -- 4.4 Deep Learning Based Methods -- 5 Conclusion -- References -- LSTM Based Advanced Fake News Detection -- 1 Introduction -- 2 Types of News -- 2.1 Fake News -- 2.2 Rumour -- 3 DataSet -- 4 Fake News Detection -- 4.1 Digital -- 4.2 News Content Based -- 4.3 Social Based -- 5 Fake News Detection Mechanism -- 6 Results -- 7 Conclusion -- References -- HTL-DP: Homogeneous Transfer Learning for Defect Prediction -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Result -- 5 Statistical Test -- 6 Threats to Validity -- 7 Conclusion -- References -- Development of a Chi-Square Approach for Classifying Ischemic Stroke Prediction -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Convolutional Neural Network (CNN) -- 3.2 Support Vector Machine -- 4 Results and Discussions -- 5 Conclusion -- References -- Anomaly Detection for Industrial Control Networks Using Hamming Distance -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Performance Evaluations -- 4.1 Methodology -- 4.2 Result -- 5 Conclusion -- References -- A Web-Based Instant Messaging System for Effective Communication Among Organic Farmers and Researchers -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Machine Learning Approaches for Classifying the Peace-War Orientations of Global News Organizations' Social Media Posts. , 1 Introduction.

Weitere Ausg.: Print version: Garg, Lalit Information Systems and Management Science Cham : Springer International Publishing AG,c2023 ISBN 9783031131493

Sprache: Englisch