top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.

Biblioteca

MARC Lista (tabellare)
Internet of Things and Analytics for Agriculture, Volume 3 / / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal
Internet of Things and Analytics for Agriculture, Volume 3 / / edited by Prasant Kumar Pattnaik, Raghvendra Kumar, Souvik Pal
Autore Pattnaik Prasant Kumar
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (385 pages)
Disciplina 338.10285
Collana Studies in Big Data
Soggetto topico Internet of things
Artificial intelligence
Agriculture - Economic aspects
Sustainability
Internet of Things
Artificial Intelligence
Agricultural Economics
ISBN 9789811662102
981166210X
9789811662096
9811662096
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto IoT: Foundations and Applications -- Functional Framework for IoT-based agricultural system -- Field monitoring and automation system -- Agriculture Sensor Network: Infrastructure, protocols and standards -- Implementation of sensors and RFID for disease and pest control -- Sensor-based Precision agriculture, Sensor data acquisition. .
Record Nr. UNINA-9910743249303321
Pattnaik Prasant Kumar  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internet of Things and Analytics for Agriculture, Volume 3
Internet of Things and Analytics for Agriculture, Volume 3
Autore Pattnaik Prasant Kumar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (385 pages)
Altri autori (Persone) KumarRaghvendra
PalSouvik
Collana Studies in Big Data Ser.
Soggetto genere / forma Electronic books.
ISBN 9789811662102
9789811662096
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910508462603321
Pattnaik Prasant Kumar  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Smart Healthcare Analytics
Smart Healthcare Analytics
Autore Pattnaik Prasant Kumar
Pubbl/distr/stampa Singapore : , : Springer Singapore Pte. Limited, , 2021
Descrizione fisica 1 online resource (227 pages)
Altri autori (Persone) VaidyaAshlesha
MohantySuneeta
MohantySatarupa
HolAna
Collana Intelligent Systems Reference Library
Soggetto genere / forma Electronic books.
ISBN 981-16-5304-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Editors and Contributors -- Smart Healthcare Analytics Using Internet of Things: An Overview -- 1 Introduction -- 2 Internet of Things -- 2.1 Benefits of IoT -- 3 IoT and Smart Healthcare -- 4 IoT Application in Health Sector -- 5 IoT Device for Monitoring Healthcare -- 5.1 Monitoring Patient Remotely -- 5.2 Glucose Monitoring -- 5.3 Connected Inhaler -- 5.4 Connected Contact Lenses -- 5.5 Hearing Aid -- 5.6 Testing Blood Coagulation -- 5.7 Smart Watches -- 5.8 Cancer Detection -- 5.9 Efficient Drug Management -- 5.10 Body Scanning -- 5.11 Monitoring Heart Rate -- 5.12 Quell Relief -- 5.13 Hospital Waste Management -- 6 Security Issues -- 7 Conclusion -- References -- Neuronal Reconstitution Effect of Stem Cell Transplantation for Smart Healthcare After Focal Cerebral Ischemia -- 1 Introduction -- 2 Method and Materials -- 2.1 Experimental Rat Surgery -- 2.2 Middle Cerebral Artery Occlusion Surgery -- 2.3 Motor and Sensory Behavioral Index -- 2.4 Histological Characteristics of Infarction Lesion -- 2.5 Differentiation of Mouse Embryonic Stem Cell -- 2.6 Analysis of Results -- 3 Results and Discussion -- 4 Conclusion -- References -- A Review of Cancer Detection and Prediction Based on Supervised and Unsupervised Learning Techniques -- 1 Introduction -- 2 Learning Based Methods and Their Use in Cancer Detection -- 2.1 Supervised Learning -- 2.2 Unsupervised Learning -- 2.3 Deep Learning -- 3 Approaches Used for Detection of Different Types of Cancer -- 3.1 Detection of Breast Cancer -- 3.2 Detection of Prostate Cancer -- 3.3 Brain Cancer Detection -- 3.4 Lung Cancer Detection -- 4 Conclusion -- References -- Resource Management Challenges in IoT Based Healthcare System -- 1 Introduction -- 2 IoT Enabled Healthcare (IoThc) Applications and Services -- 3 IoThc Functional Components -- 4 Utilities of IoThc.
5 Application Domains of IoT -- 6 Resource Requirement -- 6.1 Key Requirements of IoThc -- 7 Conclusion -- References -- A Comprehensive and Analytical Study of Smart Healthcare with IoT -- 1 Introduction -- 2 Challenges in Smart Healthcare -- 2.1 Security and Privacy -- 2.2 Interoperability Issues -- 2.3 Barriers in Medical Data -- 2.4 Device Transfer -- 2.5 Data Collection and Management -- 2.6 Design and Implementation -- 3 Concepts of Smart Healthcare -- 4 Impact of IoT in Improving Smart Healthcare -- 4.1 Evidence Based Treatment -- 4.2 Self Learn and Self Improve -- 4.3 Standardized Proposal -- 4.4 Retain Security -- 4.5 Interactive Report and Visualization -- 4.6 Exposure Notify Systems -- 4.7 Wearables for Remote Tracking -- 5 Utilization of IoT in Healthcare -- 5.1 Examining Diagnosis and Treatment -- 5.2 Health Management -- 5.3 Disease Control and Risk Assessment -- 5.4 Virtual Assistants -- 5.5 Drug Research -- 6 Benefits of IoT Enabled Smart Healthcare -- 6.1 Simultaneous Reporting and Monitoring -- 6.2 End to End Connectivity -- 6.3 Data Assortment and Analysis -- 6.4 Tracking and Alerting -- 6.5 Medical Help from Afar -- 7 IoT in Healthcare: Issues, Vulnerabilities and Opportunities -- 7.1 Privacy Preservation Issue -- 7.2 Bringing Devices and Protocol Together -- 7.3 Data Inundation and Precision -- 7.4 Financial Constraints -- 8 Conclusion -- References -- Clinical Study on Itching Relief Caused by Dry Skin of Cosmetics Containing Ceramide NP and Guaiazulene in Smart Healthcare Products -- 1 Introduction -- 2 Materials and Methods -- 2.1 Cytokine Measurement -- 2.2 Clinical Study Protocol -- 2.3 Evaluation Method of Primary Endpoint -- 2.4 Evaluation Method of Secondary Endpoint -- 2.5 Statistical Assessment -- 3 Results and Discussions -- 3.1 Inhibition of Proinflammatory Cytokine Production.
3.2 Improvement of Skin Moisture Content -- 3.3 Improvement of TEWL -- 3.4 Improvement of VAS -- 3.5 Evaluation of Safety -- 4 Conclusion -- References -- Study and Impact Analysis of Machine Learning Approaches for Smart Healthcare in Predicting Mellitus Diabetes on Clinical Data -- 1 Introduction -- 1.1 Motivation -- 1.2 Contribution -- 2 Related Work -- 3 Clinical Data Analysis -- 3.1 Dataset and Its Description -- 3.2 Explanation of Attribute -- 3.3 Data Collection -- 3.4 Data Pre-processing -- 3.5 Feature Extraction -- 3.6 Methodologies -- 4 Techniques Used for Predictive Analysis -- 4.1 Machine Learning and Applications -- 4.2 Proposed Architecture -- 5 Result and Analysis -- 6 Conclusion -- References -- A Review of Flying Robot Applications in Healthcare -- 1 Introduction -- 1.1 Necessity of Flying Robot -- 2 Applications of Flying Robot in Health Care -- 2.1 Autonomous Supply Chain -- 2.2 Laboratory Diagnostic Testing -- 2.3 Health Protection Surveillance -- 2.4 Telemedicine -- 2.5 Communal Safety and Health -- 2.6 Clinical Service Works -- 3 Challenges Faced by Flying Robots -- 4 Conclusion -- References -- Application of Deep Learning in Biomedical Informatics and Healthcare -- 1 Introduction -- 2 Literature Review -- 3 Deep Learning Architecture -- 3.1 Convolution Layer C1 -- 3.2 Pooling Layer P1 -- 3.3 Convolution Layer C2 -- 3.4 Pooling Layer P2 -- 3.5 Vectorization and Concatenation -- 3.6 Fully Connection Layer Fς -- 3.7 Loss Function -- 4 Deep Learning Applications in Prediction of Complex Activity -- 4.1 Programming/Hardware Implementations -- 5 Application of Deep Learning in Biomedical Informatics -- 6 Application of Deep Learning for the New Design -- 7 Future Expansion and Conclusion -- References -- Integration of Machine Learning and IoT for Assisting Medical Experts in Brain Tumor Diagnosis.
1 Introduction to Brain Tumor and Its Impact -- 2 Brain Tumor Diagnosis Using Manual Traditional Approach -- 3 IoT in Disease Diagnosis and Healthcare -- 4 How ML Can Be Used in Brain Tumor Diagnosis -- 4.1 Detection of Tumor Using ML -- 4.2 Tumor Segmentation Using Conventional Machine Learning -- 4.3 Classification of Tumor Using the Traditional Approach -- 5 Importance of Optimization of Algorithm in Brain Tumor Diagnosis -- 6 Chaos Whale Optimization -- 7 Artificial Neural Network and Chaos Whale Optimisation Algorithm Implementation -- 8 Use of IOT Along with the CT Scan -- 9 Preprocessing -- 10 Image Segmentation -- 11 Feature Extraction -- 12 Optimal Feature Selection -- 13 Classification of Tumor Using MLP Chaos Whale Optimization Algorithm Classifier -- 14 Results and Discussion -- 15 Conclusion -- References -- The Relationship Between SNS Fatigue, SNS Immersion and Social Support Recognized by SNS Due to Smart Intelligence -- 1 Introduction -- 2 Research Method -- 2.1 Social Support Recognized by SNS -- 2.2 SNS Fatigue -- 2.3 SNS Immersion Tendency -- 3 Experimental Results -- 3.1 General Characteristics -- 3.2 Social Support Recognized by SNS, SNS Fatigue, SNS Immersion Tendency -- 3.3 Social Support Recognized by SNS According to General Characteristics -- 3.4 SNS Fatigue According to General Characteristics -- 3.5 Immersion Tendency According to General Characteristics -- 3.6 Correlation Between Social Support, SNS Fatigue, and SNS Immersion Tendency Recognized by SNS -- 4 Conclusion -- References -- Factors Affecting Attitudes Toward Death of Korean Nursing College Students -- Including Spiritual Well-Being for Smart Healthcare -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Design -- 2.2 Subjects -- 2.3 Measurements -- 2.4 Data Analysis Method -- 3 Results and Discussion -- 3.1 Demographic Characteristics.
3.2 Spiritual Well-Being and Demographic Characteristics -- 3.3 Attitude Toward Death and Demographic Characteristics -- 3.4 Influencing Factors on Attitude Toward Death -- 4 Conclusion -- References -- Development of Smart Healthcare Cosmetic Ingredients Using Lactic Acid Fermented Coffee -- 1 Introduction -- 2 Materials and Method -- 2.1 Fermented Coffee Manufacturing Process -- 2.2 Measurement of Polyphenol, Flavonoid Content and DPPH Radical Scavenging Ability -- 2.3 Measurement of Collagenase Inhibitory Activity -- 3 Results and Discussion -- 3.1 Polyphenol, Flavonoid Content and DPPH Radical Scavenging Ability -- 3.2 Collagenase Inhibitory Activity -- 4 Conclusion -- References -- Ranking of SARS-CoV-2 Vaccines with Reference to India -- 1 Introduction -- 2 Comparison of the Vaccine -- 3 Result and Discussion -- 4 Conclusion -- References -- RFID Based Patient Billing Automation Using Internet of Things (IoT) -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 User Hardware Module -- 4.1 RFID Scanner -- 4.2 RFID Tags -- 5 Computational and Storage Module -- 5.1 Local Storage over Distributed Computer System -- 5.2 Private Data Centers -- 5.3 Cloud Resources -- 6 Software Requirement -- 6.1 Tally -- 6.2 IntelliTrack -- 7 System Implementation -- 8 Results and Discussion -- 9 Conclusion and Future Work -- References -- Author Index.
Altri titoli varianti Smart Healthcare Analytics
Record Nr. UNINA-9910502995203321
Pattnaik Prasant Kumar  
Singapore : , : Springer Singapore Pte. Limited, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui