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IET cyber-systems and robotics
IET cyber-systems and robotics
Pubbl/distr/stampa Stevenage, Herts, U.K. : , : Institution of Engineering and Technology, , 2019-
Descrizione fisica 1 online resource
Disciplina 629
620
621.3
Soggetto topico Robotics
Cybernetics
Robòtica
Comunicacions
Xarxes de comunicacions
Processament de dades
Soggetto genere / forma Periodicals.
Zeitschrift
Revistes electròniques
ISSN 2631-6315
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Institution of Engineering and Technology cyber-systems and robotics
Record Nr. UNISA-996359649603316
Stevenage, Herts, U.K. : , : Institution of Engineering and Technology, , 2019-
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
IET cyber-systems and robotics
IET cyber-systems and robotics
Pubbl/distr/stampa Stevenage, Herts, U.K. : , : Institution of Engineering and Technology, , 2019-
Descrizione fisica 1 online resource
Disciplina 629
620
621.3
Soggetto topico Robotics
Cybernetics
Robòtica
Comunicacions
Xarxes de comunicacions
Processament de dades
Soggetto genere / forma Periodicals.
Zeitschrift
Revistes electròniques
ISSN 2631-6315
Formato Materiale a stampa
Livello bibliografico Periodico
Lingua di pubblicazione eng
Altri titoli varianti Institution of Engineering and Technology cyber-systems and robotics
Record Nr. UNINA-9910330353303321
Stevenage, Herts, U.K. : , : Institution of Engineering and Technology, , 2019-
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Immersive Education : Designing for Learning / / Paula MacDowell and Jennifer Lock, editors
Immersive Education : Designing for Learning / / Paula MacDowell and Jennifer Lock, editors
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (X, 285 p. 117 illus., 106 illus. in color.)
Disciplina 371.334
Soggetto topico Education - Data processing
Educational technology
Virtual reality in education
Processament de dades
Realitat virtual
Tecnologia educativa
Soggetto genere / forma Llibres electrònics
ISBN 3-031-18138-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1.Introduction -- Section One -- 2.Designing Augmented Reality (AR) Learning Environments to Engage Learning and Curiosity about Science -- 3. A Postdigital Examination of AR and VR in the Classroom -- 4.Psychopedagogy by Design: How to Induce an Emotional State Beneficial to Learning in Virtual Reality? -- 5.Immersive Intercultural Language Learning at the Crossroads of Virtual Reality and Game-based Learning -- 6. See it and be it: Designing Immersive Experiences to Build STEM Skills and Identity in Grades 3 – 10 -- Section2 -- 7.Levels of Immersive Teaching and Learning: Influences of Challenges in the Everyday Classroom -- 8. The XR ABC Framework: Fostering Immersive Learning through Augmented and Virtual Realities -- 9.From Abstract to Concreate: How Immersive Technology Allows More Effective Teaching of Complex Paradigms -- 10. Teaching the Teachers with Immersive Technology: Preparing the Next Generation of Educators at Ithaca College -- 11.Teachers Designing Immersive Learning Experiences for Environmental and Sustainability Education -- Section 3 -- 12. Teachers Facilitating Student Virtual Reality Content Creation: Conceptual, Curricular, and Pedagogical Insights from the VR School Study -- 13. PEGS: Pretraining, Exploration, Goal Orientation, and Segmentation to Manage Cognitive Load in Immersive Environments -- 14. Interactive Storytelling through Immersive Design -- 15.A Classroom Model for VR Integration and Creative Lesson Design -- 16. A Vision for the Future of Immersive Education: Designing for Learning Challenges and Possibilities -- Index. .
Record Nr. UNINA-9910639886403321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Industrial Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Industrial Statistics [[electronic resource] ] : A Computer-Based Approach with Python / / by Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Autore Kenett Ron S
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023
Descrizione fisica 1 online resource (486 pages)
Disciplina 338.0021
Altri autori (Persone) ZacksShelemyahu
GedeckPeter
Collana Statistics for Industry, Technology, and Engineering
Soggetto topico Mathematical statistics—Data processing
Statistics
Statistics and Computing
Applied Statistics
Estadística industrial
Processament de dades
Python (Llenguatge de programació)
Soggetto genere / forma Llibres electrònics
ISBN 3-031-28482-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Role of Statistical Methods in Modern Industry -- Basic Tools and Principles of Process Control -- Advanced Methods of Statistical Process Control -- Multivariate Statistical Process Control -- Classical Design and Analysis of Experiments -- Quality by Design -- Computer Experiments -- Cybermanufacturing and Digital Twins -- Reliability Analysis -- Bayesian Reliability Estimation and Prediction -- Sampling Plans for Batch and Sequential Inspection.
Record Nr. UNINA-9910731477803321
Kenett Ron S  
Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Information and Communication Technologies in Tourism 2017 [[electronic resource] ] : Proceedings of the International Conference in Rome, Italy, January 24-26, 2017 / / edited by Roland Schegg, Brigitte Stangl
Information and Communication Technologies in Tourism 2017 [[electronic resource] ] : Proceedings of the International Conference in Rome, Italy, January 24-26, 2017 / / edited by Roland Schegg, Brigitte Stangl
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVIII, 794 p. 95 illus.)
Disciplina 338.4791
Soggetto topico Tourism
Management
Information technology
Business—Data processing
Computers
Internet marketing
E-commerce
Service industries
Tourism Management
IT in Business
Information Systems and Communication Service
Online Marketing/Social Media
e-Commerce/e-business
Services
Turisme
Empreses
Processament de dades
Tecnologia de la informació
Soggetto genere / forma Llibres electrònics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I: Recommender Systems and Semantic Web -- Part II: E-strategy and ICT for Innovation -- Part III: Smart Destinations and Big Data -- Part IV: Virtual and Augmented Reality -- Part V: Mobile Services and Wearable Technologies -- Part VI: Online Consumer Behaviour -- Part VII: Consumer Profiling -- Part VIII: eReputation Management and Online Reviews -- Part IX: Social Media -- Part X: Sharing Economy and New Business Models.
Record Nr. UNINA-9910158670803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques / / Suparna Biswas [and three others] editors
Internet of things based smart healthcare : intelligent and secure solutions applying machine learning techniques / / Suparna Biswas [and three others] editors
Pubbl/distr/stampa Singapore : , : Springer, , [2022]
Descrizione fisica 1 online resource (394 pages)
Disciplina 004.678
Collana Smart computing and intelligence
Soggetto topico Internet of things
Medical innovations
Medicine - Data processing
Internet de les coses
Processament de dades
Medicina
Soggetto genere / forma Llibres electrònics
ISBN 981-19-1408-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Contents -- IoT Based Smart Healthcare -- Wearable Sensors and Machine Intelligence for Smart Healthcare -- 1 Introduction -- 2 Presents Healthcare Issues and Challenges for Remote Patients -- 3 The Possibilities of IoT as an Alternate to Conventional Healthcare System -- 4 IoT-Enabled Healthcare System -- 4.1 General Architecture -- 4.2 Proposed Architecture for the Healthcare System -- 4.3 Proposed Model -- 4.4 Component Description -- 4.5 Working Procedure of Healthcare Model -- 5 The Need and Importance of Machine Learning in Smart Healthcare -- 6 Conclusion -- References -- Architecture for Smart Healthcare: Cloud Versus Edge -- 1 Introduction -- 2 Role of Cloud Computing in Smart Healthcare Architecture -- 2.1 Properties of Cloud Computing -- 2.2 Utilities of Cloud Computing -- 2.3 Deployment Models of Cloud Computing -- 2.4 Different Architectures of Cloud Computing Used in Smart Healthcare -- 3 Role of Edge Computing in Smart Healthcare Architecture -- 3.1 Utilities of Edge Computing -- 3.2 Different Proposed Architectures of Edge Computing Used in Smart Healthcare -- 3.3 Limitation of Edge Computing -- 4 Difference Between Cloud of Edge on Smart Healthcare Perspective -- 5 Conclusion -- References -- The Medical Internet of Things: A Review of Intelligent Machine Learning and Deep Learning Applications for Leveraging Healthcare -- 1 Introduction -- 2 The Architecture of MIoT -- 2.1 The Perception Layer -- 2.2 The Network Layer -- 2.3 The Application Layer -- 3 IoT in Healthcare -- 3.1 IoT Services and Applications -- 3.2 IoT Healthcare Applications -- 3.3 Benefits of IoT in HealthCare -- 4 Machine Learning and Deep Learning Applications for MIoT -- 4.1 Machine Learning and Deep Learning Applications -- 5 Related Work and Discussion -- 5.1 Summary -- 6 Challenges -- 7 Future Directions -- 8 Conclusion -- References.
Main Challenges and Concerns of IoT Healthcare -- 1 Introduction -- 2 Applications of IoT in Healthcare -- 3 Benefits of IoT in Healthcare -- 4 Role of Cloud and Edge Computing in IoT Healthcare Services -- 4.1 Role of Cloud Computing in IoT Healthcare Services -- 4.2 Role of Edge Computing in IoT Healthcare -- 5 Challenges and Concerns of Healthcare IoT Ecosystem -- 5.1 Security and Privacy -- 5.2 Device Vulnerability -- 5.3 Interoperability -- 5.4 Connectivity -- 5.5 Volume of Data and Its Analytics -- 5.6 Energy Efficiency -- 5.7 Trust Issues and Government Policies -- 5.8 Other Challenges -- 6 Open Issues -- 7 Conclusion -- References -- Challenges of Handling Data in IoT-Enabled Healthcare -- 1 Introduction -- 2 IoT Healthcare Services and Applications -- 2.1 Services -- 2.2 IoT Applications -- 3 Challenges of Health Data -- 3.1 Inter-Domain Authentication and Interoperability -- 3.2 Security and Privacy -- 3.3 Device Communication -- 3.4 Management of Data -- 4 Uncertainties in Data -- 4.1 Types of Uncertainty in Healthcare -- 4.2 Sources of Uncertainty in IoT System -- 5 Statistical Methods -- 6 Case Studies -- 6.1 Accuracy-Related Error Prediction -- 6.2 Results for Precision Error Reduction -- 7 Virtual Sensor-Based Infrastructure -- 8 Conclusion -- References -- Context and Body Vitals Monitoring Systems -- Human Activity Recognition Systems Based on Sensor Data Using Machine Learning -- 1 Introduction -- 1.1 Classification of HAR According to Sensor Deployment -- 1.2 General Components of HAR System -- 1.3 Few Challenges of HAR in IoHT with Their Solution -- 2 Activity Recognition Method: A Machine Learning (ML) Approach -- 2.1 Why ML is to Be Used in HAR -- 2.2 Data Preprocessing: -- 2.3 Learning and Inference -- 2.4 Why to Prefer Modern ML Techniques and Deep Learning -- 3 Different State-Of-The-Art ML/DL Techniques.
4 Future Direction of Research -- References -- Human Activity Recognition Systems Based on Audio-Video Data Using Machine Learning and Deep Learning -- 1 Introduction -- 2 HAR -- 3 Sensory Data, Audio and Video Data for HAR -- 3.1 Sensory Data -- 3.2 Audio Data -- 3.3 Video Data -- 4 ML and DL in HAR -- 4.1 ML in HAR -- 4.2 Challenges of ML in HAR -- 4.3 DL in HAR -- 4.4 Challenges of DL in HAR -- 5 Implementation of HAR -- 5.1 Experimental Environment -- 6 Evaluation of HAR Systems -- 6.1 Evaluation Methodologies -- 6.2 Evaluation Metrics -- 7 Case Studies -- 8 Conclusion -- References -- On Body Vitals Monitoring for Disease Prediction: A Systematic Survey -- 1 Introduction to the Need for Generalized IOT Healthcare Paradigm -- 2 Role of Body Vital Monitoring System for Disease Prediction in IOT Healthcare -- 3 Valuable Vital Signs and Their Need to Be Monitored -- 3.1 Electrocardiogram (ECG) -- 3.2 Heart Rate (HR) -- 3.3 Blood Pressure (BP) -- 3.4 Respiration Rate -- 3.5 Blood Oxygen Saturation (SpO2) -- 3.6 Body Temperature -- 4 Review on the Recent Technological Advances in the Remote Healthcare Monitoring System -- 5 Summary -- References -- Review of Body Vitals Monitoring Systems for Disease Prediction -- 1 Introduction -- 2 Relevant Works -- 2.1 Data Collection -- 2.2 Analysis Techniques -- 3 Open Research Issues -- 4 Applications of Smart Devices -- 4.1 Personal ECG Monitor -- 4.2 Portable Smart Watch -- 4.3 Smart Glucometer -- 4.4 Brain Sensing Headband -- 4.5 Smart Temporal Thermometer -- 4.6 Fertility Tracking Bracelet -- 4.7 Pain Relief Device -- 4.8 Bio Scarf -- 5 Data Security -- 6 Technical Analysis -- 6.1 Data Preprocessing -- 6.2 Feature Extraction -- 6.3 Learning Approaches -- 6.4 Performance Measure -- 7 Conclusion -- References -- Quantitative Assessment of Smartphone Usage in College Students-A Digital Phenotyping Approach.
1 Introduction -- 2 Experiment and Study Design -- 2.1 Study Procedure -- 2.2 Incentives and Privacy Considerations -- 2.3 Data Collection -- 3 Smartphone Technology -- 3.1 Working of an Accelerometer -- 4 Activity Detection -- 5 Sleep Detection -- 6 Sociability -- 7 Location and Mobility Patterns -- 7.1 Mobility Patterns -- 8 Discussions -- 8.1 Smartphone Addiction: Mobile Usage Hours -- 8.2 Sleep Quality Impact -- 9 Conclusions -- References -- Home Automation System Combining Internet-of-Things with Brain-Computer Interfacing -- 1 Introduction -- 1.1 The Application of Smart Health Care -- 1.2 Home Automation Related to Health Care -- 1.3 Human Brain -- 1.4 Electrode Placement in Human Brain -- 1.5 Brain-Computer Interface -- 1.6 Electroencephalogram Using Machine Learning -- 1.7 Internet-of-Things Devices and Technologies -- 2 Literature Survey -- 3 Proposed Work -- 3.1 Electrode Placement and Data Acquisition -- 3.2 Preprocessing -- 3.3 Signal Processing -- 3.4 Application Device Control System -- 4 Results -- 4.1 Experimental Setup -- 4.2 EEG Recording and Data Collection -- 5 Conclusion and Future Direction -- References -- Social Sensing Applications for Public Health -- ``Montaj'': A Gaming System for Assessing Cognitive Skills in a Mobile Computing Platform -- 1 Introduction -- 2 Design and Development -- 2.1 Device Compatibility and System Installation -- 2.2 Life Cycle of a Study -- 2.3 Use Cases Diagram -- 2.4 Data Flow Diagram (DFD) -- 2.5 Entity Relationship (ER) Diagram -- 2.6 Games in `Montaj': Registration and Removal-Flexibility of the System -- 2.7 Games Made Available with the System -- 2.8 Built in Search Facilities of `Montaj' -- 2.9 Provision for Importing New Games -- 3 Testing and Validation -- 4 Novelty of System Implemented in the System -- 4.1 Capability of Accommodating Externally Implemented Games.
4.2 Novelty of the Games Implemented in the System -- 5 Usability Analysis -- 6 Conclusion -- References -- Social Data Analysis Techniques and Applications -- 1 Introduction -- 2 Social Sensing Application in Public Health -- 3 Social Data in Public Health -- 4 Social Data Analysis Techniques in Public health -- 4.1 Natural Language Processing -- 4.2 News Analytic -- 4.3 Opinion Mining -- 4.4 Scraping -- 4.5 Sentiment Analysis -- 4.6 Text Analytics -- 4.7 Social Network Analysis -- 5 State of Art Social Data Applications -- 6 SNA Techniques and Applications in Public Health -- 7 Conclusion -- References -- Challenges and Limitations of Social Data Analysis Approaches -- 1 Introduction -- 2 General Challenges -- 2.1 Technical Limitations -- 2.2 Actionability Concern -- 2.3 Ethical Considerations -- 3 Other Issues for Social Data Analysis -- 3.1 Issues of Social Data Collection -- 3.2 Issues for Processing Data -- 3.3 Issues Analysing Data -- 4 Social Data in Real-World Applications -- 5 Conclusion -- References -- Reliability, Security and Privacy of Health Data -- IoT-Based Secure Health Care: Challenges, Requirements and Case Study -- 1 Introduction -- 2 Traditional Versus Modern Architecture -- 3 Security Threats -- 4 Importance of Privacy and Security -- 4.1 Mutual-Authentication -- 4.2 Confidentiality -- 4.3 Anonymity -- 4.4 Data Freshness -- 4.5 Data Integrity -- 4.6 Data Availability -- 5 Taxonomy of Privacy and Security in Health Care -- 5.1 Access Control Schemes -- 5.2 Authentication Schemes -- 5.3 Encryption Schemes -- 6 Case Study on Intrusion Detection System for Health Care -- 6.1 Models -- 6.2 Desired Features of Healthcare IDS and IPS -- 6.3 Commercial IDS and IPS -- 6.4 Open Research Issues -- 7 Conclusion -- References.
Applications of IoT and Blockchain Technologies in Healthcare: Detection of Cervical Cancer Using Machine Learning Approaches.
Record Nr. UNINA-9910584483603321
Singapore : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intracranial EEG : a guide for cognitive neuroscientists / / edited by Nikolai Axmacher
Intracranial EEG : a guide for cognitive neuroscientists / / edited by Nikolai Axmacher
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (1052 pages) : illustrations (some colour)
Disciplina 929.374
Collana Studies in Neuroscience, Psychology and Behavioral Economics
Soggetto topico Electroencephalography
Neurociència cognitiva
Processament de dades
Soggetto genere / forma Llibres electrònics
ISBN 3-031-20910-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Which epilepsy patients are implanted with iEEG electrodes -- Chapter 2: Which is the cognitive status of epilepsy patients undergoing intracranial presurgical studies, and what influences it? -- Chapter 3: (How) does epileptic activity influence cognitive functioning? -- Chapter 4: Which practical issues should I consider when planning and conducting an iEEG study?.
Record Nr. UNINA-9910736989203321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introducing HR analytics with machine learning : empowering practitioners, psychologists, and organizations / / Christopher M. Rosett, Austin Hagerty
Introducing HR analytics with machine learning : empowering practitioners, psychologists, and organizations / / Christopher M. Rosett, Austin Hagerty
Autore Rosett Christopher M.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (266 pages)
Disciplina 658.300285
Soggetto topico Personnel management - Data processing
Machine learning
Gestió de personal
Processament de dades
Aprenentatge automàtic
Soggetto genere / forma Llibres electrònics
ISBN 3-030-67626-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910485595603321
Rosett Christopher M.  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Introduction to Scientific Computing and Data Analysis [[electronic resource] /] / by Mark H. Holmes
Introduction to Scientific Computing and Data Analysis [[electronic resource] /] / by Mark H. Holmes
Autore Holmes Mark H
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (563 pages)
Disciplina 502.85
Collana Texts in Computational Science and Engineering
Soggetto topico Mathematics—Data processing
Mathematical optimization
Mathematical analysis
Computational Science and Engineering
Optimization
Analysis
Ciència
Processament de dades
Investigació quantitativa
Soggetto genere / forma Llibres electrònics
ISBN 3-031-22430-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Preface to Second Edition -- Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization: Regression -- Optimization: Descent Methods -- Data Analysis -- Taylor's Theorem -- Vector and Matrix Summary -- Answers -- References -- Index.
Record Nr. UNINA-9910734870703321
Holmes Mark H  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter
An introduction to statistics with Python : with applications in the life sciences / / Thomas Haslwanter
Autore Haslwanter Thomas <1964->
Edizione [Second edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (341 pages)
Disciplina 610.727
Collana Statistics and Computing
Soggetto topico Biometry
Computer science - Mathematics
Programming languages (Electronic computers)
Python (Llenguatge de programació)
Estadística matemàtica
Processament de dades
Biometria
Soggetto genere / forma Llibres electrònics
ISBN 9783030973711
9783030973704
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910631094303321
Haslwanter Thomas <1964->  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui