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Information systems and management science : conference proceedings of 3rd International conference on information systems and management science (ISMS) 2020 / / Lalit Garg [and seven others], editors
| Information systems and management science : conference proceedings of 3rd International conference on information systems and management science (ISMS) 2020 / / Lalit Garg [and seven others], editors |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (261 pages) |
| Disciplina | 658.4038 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico | Management information systems |
| ISBN | 3-030-86223-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910522958203321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Internet of medical things for smart healthcare : Covid-19 pandemic / / Chinmay Chakraborty [and three others], editors
| Internet of medical things for smart healthcare : Covid-19 pandemic / / Chinmay Chakraborty [and three others], editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 305 p. 200 illus., 177 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Studies in big data |
| Soggetto topico |
COVID-19 (Disease) - Health aspects
Medical care - Data processing Medical informatics |
| ISBN | 981-15-8097-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Transmission Dynamics and Estimation of Basic Reproduction Number (R0) from Early Outbreak of Novel Coronavirus (COVID-19) in India -- Chapter 2. Covid -19 analysed by using machine deep learning -- Chapter 3. MML Classification Techniques for the pathogen based on pnuemonia-nCOVID-19 and the Detection of closely related lung diseases using Efficacious Learning Algorithms -- Chapter 4. Diagnosing COVID-19 Lung Inflammation using Machine Learning Algorithms: A Comparative Study -- Chapter 5. Factors Affecting the Success of Internet of Things for Enhancing Quality and Efficiency Implementation in Hospitals Sector in Jordan during the crises of Covid-19 -- Chapter 6. IoMT based Smart Diagnostic/Therapeutic Kit for Pandemic Patients -- Chapter 7. The Prediction Analysis of Covid-19 Cases using ARIMA and KALMAN Filter Models: A Case of Comparative Study -- Chapter 8. Exploration of cough recognition technologies grounded on sensors and artificial intelligence -- Chapter 9. A Review on use of Data Science for visualisation and prediction of the COVID-19 Pandemic and Early diagnosis of COVID-19 using Machine learning models -- Chapter 10. Fuzzy Cellular Automata Model For Discrete Dynamical System Representing Spread ofMERS And COVID-19 Virus, SumitaBasu and Sreeya Ghosh. |
| Record Nr. | UNINA-9910427673103321 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Internet of medical things for smart healthcare : Covid-19 pandemic / / Chinmay Chakraborty [and three others], editors
| Internet of medical things for smart healthcare : Covid-19 pandemic / / Chinmay Chakraborty [and three others], editors |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XII, 305 p. 200 illus., 177 illus. in color.) |
| Disciplina | 610.285 |
| Collana | Studies in big data |
| Soggetto topico |
COVID-19 (Disease) - Health aspects
Medical care - Data processing Medical informatics |
| ISBN | 981-15-8097-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Transmission Dynamics and Estimation of Basic Reproduction Number (R0) from Early Outbreak of Novel Coronavirus (COVID-19) in India -- Chapter 2. Covid -19 analysed by using machine deep learning -- Chapter 3. MML Classification Techniques for the pathogen based on pnuemonia-nCOVID-19 and the Detection of closely related lung diseases using Efficacious Learning Algorithms -- Chapter 4. Diagnosing COVID-19 Lung Inflammation using Machine Learning Algorithms: A Comparative Study -- Chapter 5. Factors Affecting the Success of Internet of Things for Enhancing Quality and Efficiency Implementation in Hospitals Sector in Jordan during the crises of Covid-19 -- Chapter 6. IoMT based Smart Diagnostic/Therapeutic Kit for Pandemic Patients -- Chapter 7. The Prediction Analysis of Covid-19 Cases using ARIMA and KALMAN Filter Models: A Case of Comparative Study -- Chapter 8. Exploration of cough recognition technologies grounded on sensors and artificial intelligence -- Chapter 9. A Review on use of Data Science for visualisation and prediction of the COVID-19 Pandemic and Early diagnosis of COVID-19 using Machine learning models -- Chapter 10. Fuzzy Cellular Automata Model For Discrete Dynamical System Representing Spread ofMERS And COVID-19 Virus, SumitaBasu and Sreeya Ghosh. |
| Record Nr. | UNISA-996465447203316 |
| Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Internet of Things for Healthcare Technologies / / edited by Chinmay Chakraborty, Amit Banerjee, Maheshkumar H. Kolekar, Lalit Garg, Basabi Chakraborty
| Internet of Things for Healthcare Technologies / / edited by Chinmay Chakraborty, Amit Banerjee, Maheshkumar H. Kolekar, Lalit Garg, Basabi Chakraborty |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (332 pages) |
| Disciplina | 004.678 |
| Collana | Studies in Big Data |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Health informatics Computational Intelligence Artificial Intelligence Big Data Health Informatics |
| ISBN | 981-15-4112-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Technological advances in Healthcare -- Role of Big data analysis and Bio-electronics for upgrading healthcare technologies -- Automated Epileptic Seizure Detection in Clinical EEG using Frequency-Time Domain Features and Hidden Markov Model -- ECG Data Compression for IoT in Healthcare -- Prospects of Bioelectronics (IC enabled, flexible electronics, sensors, systems etc) for Biomedical Engineering and Healthcare in the information age -- Security and Privacy concerns in Healthcare -- Internet of Medical Things -- THz Sources and Detectors for Biomedical Application -- Big data analytics for Internet of Medical Things -- Biomedical Image Analysis: A Predictive Approach -- Missing data handling in medical questionnaires using hybrid methods. |
| Record Nr. | UNINA-9910484430103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Key Digital Trends Shaping the Future of Information and Management Science : Proceedings of 5th International Conference on Information Systems and Management Science (ISMS) 2022 / / edited by Lalit Garg, Dilip Singh Sisodia, Nishtha Kesswani, Joseph G. Vella, Imene Brigui, Sanjay Misra, Deepak Singh
| Key Digital Trends Shaping the Future of Information and Management Science : Proceedings of 5th International Conference on Information Systems and Management Science (ISMS) 2022 / / edited by Lalit Garg, Dilip Singh Sisodia, Nishtha Kesswani, Joseph G. Vella, Imene Brigui, Sanjay Misra, Deepak Singh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (639 pages) |
| Disciplina | 658.4038 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Management Computational Intelligence Data Engineering |
| Soggetto non controllato |
Technology
Technology & Engineering |
| ISBN |
9783031311536
9783031311529 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Improvisation of Predictive Modeling Using Different Classifiers for Predicting Thyroid Disease in Patients -- 1 Introduction -- 1.1 Data Analytics -- 1.2 Prediction and Predictive Analysis -- 2 Literature Review -- 3 Exploratory Data Analysis -- 4 Proposed Model -- 4.1 k-NN Classifier -- 4.2 Random Forest Classifier -- 4.3 XGBoost Classifier -- 4.4 CatBoost Classifier -- 5 Results -- 6 Conclusion -- References -- Application of IoT for Proximity Analysis and Alert Generation for Maintaining Social Distancing -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Methodology and Block Diagram of System -- 4 Experimental Setup -- 5 Mathematical Modeling -- 6 Theoretical Results -- 7 Device Simulation and Result -- 8 Conclusions and Future Scope -- References -- Analysis and Optimization of Fault - Tolerant Behaviour of Motors in Electric Vehicular Systems -- 1 Introduction -- 2 Overview of Motors in Electric Vehicular Systems -- 3 EV Modelling -- 4 Exploratory Data Analysis of PMSM Characteristics Using Real - Time Data -- 4.1 About Dataset -- 4.2 Key Points About the Dataset -- 4.3 Determining Correlations -- 4.4 Generating Heatmap -- 4.5 Observations -- 5 Modelling of the Dynamics of Electric Vehicle -- 6 Fault Analysis -- 6.1 Normal Operation -- 6.2 Abnormal Operation -- 6.3 Observation Table -- 7 Optimization Technique of PMSM for Electric Vehicular Application -- 7.1 Normal Operation -- 7.2 Abnormal Operation -- 7.3 Observation Table -- 8 Conclusion -- References -- Transfer Learning of Mammogram Images Using Morphological Bilateral Subtraction and Enhancement Filter -- 1 Introduction -- 2 Contrast Enhancement -- 3 Histogram Equalization (HE) -- 4 Contrast Limited Adaptive Histogram Equalization (CLAHE) -- 4.1 Histogram Modified - Local Contrast Enhancement (HM-LCE).
5 Related Works -- 6 Image Segmentation -- 6.1 Mathematical Morphological Operations -- 7 Proposed Contrast Enhancement Using Modified Bi-level Histogram with Homomorphic Filter (MBH-HF) -- 7.1 Modified Bi-level Histogram -- 8 Experimental Analysis -- 8.1 Dataset Used -- 8.2 Experimental Result Analysis -- 9 Conclusion -- References -- Deep Learning Based Bengali Image Caption Generation -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Processing of Dataset -- 3.2 Extraction of Feature -- 3.3 Embedding -- 3.4 Encoder -- 3.5 Decoder -- 4 Experimental Setup -- 4.1 Output Generation -- 4.2 Result Analysis -- 5 Comparison -- 6 Future Scope and Conclusion -- References -- Analyzing Deep Neural Network Algorithms for Recognition of Emotions Using Textual Data -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 3.1 Collection of Dataset -- 3.2 Data Pre-processing -- 3.3 Feature Extraction -- 3.4 Emotion Detection Using Deep Learning Models -- 4 Result and Analysis -- 5 Conclusion and Future Work -- References -- Smart Energy Saver -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 4 Implementation -- 5 Result and Analysis -- 6 Conclusion and Future Work -- References -- Agile Helmet-A Smart Secure System for Motorbike -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 3.1 Helmet Module -- 3.2 Vehicle Module -- 4 Implementation -- 5 Results -- 5.1 Outputs -- 5.2 Performance Analysis -- 6 Conclusion and Future Work -- References -- Decentralized Digital Identity: A New Form of Secured Identity Using Blockchain Technology -- 1 Introduction -- 2 The Concept of Personal Identity -- 2.1 The model of Digital Identity Using Blockchain Technology -- 3 Materials and Methods -- 4 Result and Analysis -- 4.1 Biomedical Blockchain -- 4.2 Transport Blockchain -- 5 Conclusions -- References. Object Detection with YOLO Version 3 for Big Data -- 1 Introduction -- 2 Literature Review -- 2.1 Artificial Neural Networks -- 2.2 Convolutional Neural Networks -- 2.3 Residual Network -- 2.4 Some Related Object Detection Techniques -- 3 Proposed Method: You Only Look Once (YOLO) -- 3.1 Prediction of Each Grid Cell -- 3.2 Necessity of Anchor-Boxes -- 3.3 Prediction of Anchor Boxes in YOLOv2 and Later -- 3.4 The Total Number of Bounding Box that YOLOv3 Can Predict -- 4 Implementation -- 4.1 Model Advancement -- 4.2 API Advancement -- 5 Conclusions and Future Work -- References -- Efficient Approach for Virtual Machine and Resource Allocation in Cloud Computing -- 1 Introduction -- 2 System Model -- 2.1 Actors in the Model -- 2.2 Mathematical Model for Resource Allocation and Profit Maximization -- 2.3 Mapping Strategy -- 3 Implementation -- 4 Result Analysis -- 5 Conclusions and Future Work -- References -- A Novel Approach for Service Selection and Ranking in Federated Cloud -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 Ordered Weighted Averaging Method -- 4 VIKOR Method -- 5 Federated Cloud Service Broker (FCSB) Model -- 6 Service Selection Problem Scenario -- 7 User Preference Based Brokerage (UPB) Method -- 8 Simulation and Result Analysis -- 9 Conclusions and Future Work -- References -- A Review on IoT Based Wireless Sensor Network and Security -- 1 Introduction -- 2 Related Method -- 3 Wireless Sensor Network (WSN) -- 4 Data Aggregation -- 5 Conclusion and References -- References -- Automated Spoken Language Identification Using Convolutional Neural Networks & -- Spectrograms -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data and Pre-processing -- 3.2 Design and Training -- 3.3 Evaluation of the Model -- 4 Results and Discussions -- 5 Conclusion -- References. A Software Quality Characteristics Optimization Model to Reduce Evaluation Overhead -- 1 Introduction -- 2 Related Study -- 3 Proposed Work -- 3.1 Attribute Categorization -- 3.2 Software Quality Attribute Optimization -- 4 Results Analysis -- 5 Conclusion and Future Work -- References -- Smart Home Using Internet of Things -- 1 Introduction -- 2 Cisco Packet Tracer Software -- 3 Literature Review -- 4 Methodology -- 5 Safe Home Implementation -- 6 Discussion and Result -- 7 Conclusion -- References -- ADAPT- Automated Defence TrAining PlaTform in a Cyber Range -- 1 Introduction -- 2 Research Background and Related Work -- 3 Research Methodology -- 4 Proposed System -- 4.1 Profile-Based Training Design -- 4.2 System Design -- 4.3 System Implementation -- 5 System Evaluation -- 6 Conclusion and Future Work -- A Sample Exercise Questions -- References -- An Improved Recommender System for Dealing with Data Sparsity Using Autoencoders and Neural Collaborative Filtering -- 1 Introduction -- 2 The Proposed Method -- 2.1 Recommendation System Frameworks -- 2.2 Autoencoder Based Feature Extraction -- 2.3 Embedding -- 2.4 Matrix Factorization -- 2.5 Generalized Matrix Factorization -- 2.6 Multilayer Perceptron -- 2.7 Neural Matrix Factorization -- 3 Dataset -- 4 Results and Discussions -- 4.1 Metrics for Evaluation -- 4.2 Experiment 1: Training of Models and Comparison of Performance -- 4.3 Experiment 2: Influence of the Sampling Ratio in the Dataset -- 4.4 Experiment 3: The Number of Predictive Factors -- 4.5 Experiment 4: The Factor K in the Evaluation -- 4.6 Experiment 5: Architecture of the Neural Network in MLP -- 4.7 Comparison with Existing Methods -- 5 Conclusion and Future Enhancements -- References -- Neural Network Based Algorithm to Estimate the Axial Capacity of Corroded RC Columns -- 1 Introduction -- 2 Research Significance -- 3 Methodology. 3.1 Data Bank -- 3.2 Preparation of Dataset -- 3.3 Performance Criteria -- 4 Artificial Neural Network -- 4.1 Development of ANN Model -- 5 Results and Discussion -- 6 Conclusion -- References -- ML-Based Computational Model to Estimate the Compressive Strength of Sustainable Concrete Integrating Silica Fume and Steel Fibers -- 1 Introduction -- 2 Research Significance -- 3 Methodology -- 3.1 Data Bank -- 3.2 Preparation of Data -- 4 ANN -- 4.1 Development of ANN Model -- 5 Results and Discussion -- 6 Formulation -- 7 Conclusion -- References -- Indian Sign Language Digit Translation Using CNN with Swish Activation Function -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Preprocessing -- 3.3 Proposed CNN Architecture -- 3.4 Experimental Setup -- 4 Results and Discussion -- 4.1 Performance -- 4.2 Comparison with Other Models -- 5 Conclusion and Future Scope -- References -- Prognosis of Viral Transmission in Naturally Ventilated Office Rooms Using ML -- 1 Introduction -- 2 Existing Literature -- 3 Channelization of Data -- 3.1 Collection of Data -- 3.2 Criteria for Evaluation -- 3.3 Data Normalization -- 4 Machine Learning (ML) Algorithms -- 4.1 Support Vector Machine (SVM) -- 4.2 Ensemble Learning (EL) -- 4.3 Gaussian Process Regression (GPR) -- 5 Results and Discussion -- 5.1 Application of ML Algorithms -- 5.2 Results of Machine Learning Models -- 5.3 Discussion -- 6 Conclusion -- References -- Impact of Organization Justice on Organizational Citizenship Behavior and Employee Retention -- 1 Introduction -- 2 Organizational Justice and Employee Retention -- 3 Organizational Justice and Organisational Citizenship Behavior -- 4 Organisational Citizenship Behavior and Employee Retention -- 5 Organizational Justice, Organizational Citizenship Behaviour and Employee Retention: Mediation Analysis -- 6 Research Methodology. 7 Results. |
| Record Nr. | UNINA-9910725081903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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