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Advances in Greener Energy Technologies / / edited by Akash Kumar Bhoi, Karma Sonam Sherpa, Akhtar Kalam, Gyoo-Soo Chae
| Advances in Greener Energy Technologies / / edited by Akash Kumar Bhoi, Karma Sonam Sherpa, Akhtar Kalam, Gyoo-Soo Chae |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XIV, 857 p. 509 illus., 422 illus. in color.) |
| Disciplina | 634.905 |
| Collana | Green Energy and Technology |
| Soggetto topico |
Renewable energy resources
Energy systems Energy storage Renewable and Green Energy Energy Systems Energy Storage |
| ISBN | 981-15-4246-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Overview on Structural Advancements in Conventional Power System with Renewable Energy Integration and role of Smart Grids in Future Power Corridors -- Cyber security for Smart Grid: Threats, Solutions & Standardization -- Solar fuels via two-step thermochemical redox cycles -- Internet of Things (IoT) Application in Green Computing: An Overview -- A PSO Based Multi-Objective Optimization, to Satisfy the Electrical Energy Demand through Renewable Energy Integration: A Case Study -- EMI Concerns, Measurements and Standards for Smart Grid -- Extraction of solar module parameters using Jaya optimization algorithm -- A Multilevel Inverter Controlled Photovoltaic Generation -- A Study on the Airflow Variation and Energy Consumption of Apartment Complexes in Medium Cities -- Real Time Smart Volumetric Fuel Estimation System for Automobiles under all Road Conditions -- Energy Efficiency and QoS Evaluation of Radio Resource Management Techniques for M2M Communications in LTE-based Cellular Systems. |
| Record Nr. | UNINA-9910410020703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Power Systems and Energy Management : ETAEERE-2016 / / edited by Amik Garg, Akash Kumar Bhoi, Padmanaban Sanjeevikumar, K. K. Kamani
| Advances in Power Systems and Energy Management : ETAEERE-2016 / / edited by Amik Garg, Akash Kumar Bhoi, Padmanaban Sanjeevikumar, K. K. Kamani |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 735 p. 508 illus., 404 illus. in color.) |
| Disciplina | 621.31 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Energy systems
Power electronics Energy policy Energy and state Energy Systems Power Electronics, Electrical Machines and Networks Energy Policy, Economics and Management |
| ISBN | 981-10-4394-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910299603103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Smart Grid and Renewable Energy : Proceedings of ETAEERE-2016 / / edited by Sabyasachi SenGupta, Ahmed F. Zobaa, Karma Sonam Sherpa, Akash Kumar Bhoi
| Advances in Smart Grid and Renewable Energy : Proceedings of ETAEERE-2016 / / edited by Sabyasachi SenGupta, Ahmed F. Zobaa, Karma Sonam Sherpa, Akash Kumar Bhoi |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXII, 716 p. 506 illus., 378 illus. in color.) |
| Disciplina | 621.31 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Renewable energy resources
Energy systems Power electronics Renewable and Green Energy Energy Systems Power Electronics, Electrical Machines and Networks |
| ISBN | 981-10-4286-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Clustered Prosumer Penalty Framework on Smart Grid -- Critical Evaluation of Offline MPPT Techniques of Solar PV for Standalone Applications -- Design of Permanent Magnet Synchronous Generator for Wind Energy Conversion System using -- Design and Development Of Buck-Boost Regulator For DC Motor Used In Electric Vehicle For The Application Of Renewable Energy -- The Particle Swarm Optimization algorithm for maximum power extraction of solar PV array -- PV Fed Eleven Level Capacitor Switching Multi-Level Inverter for Grid Integration -- Daylight Harvesting Concepts and Its Application: A Review -- Smart Switching algorithm between IC and PO Algorithms for Grid connected PV System -- A Novel Educational Proposal and Strategies towards promoting Cloud Computing, Big-Data, and Human Computer Interaction in Engineering Colleges and Universities -- Annual energy, exergy and environmental benefits of N half covered concentrated photovoltaic thermal (CPVT) air collectors -- An Experimental Realization of Grid Connected PV System with MPPT using dSPACE DS 1104 Control Board -- Study on the effect of tilt on the variation of aperture area shading in a linear Fresnel reflector field for two different configurations -- Design Analysis and Implementation of MPPT using PSIM -- A New Switching Pattern Scheme Based Com-pact Integrated 15-Level Smart Inverter for Mi-cro-Grid System using Fuzzy Controller -- Experimental Investigation of VFD fed scalar control of Induction Motor for Pumping Application -- Fuzzy Based Micro Grid Energy Management System using Interleaved Boost Converter and Three Level NPC Inverter with Improved Grid Voltage Quality -- Design and Implementation of Solar Powered Low Cost Model of Greenhouse System -- Energy Storage Considerations for High Renewable Power Penetration: A Case Study -- PEM Fuel Cell System Identification and Control -- Harvesting insolation using Mo-W-Sulfide compound nanoparticle semiconductor as photocatalyst: a pollution controlling material -- Thermal Performance Analysis of a Box-Type Solar Cooker with Finned Pot: An Experimental Approach -- Quantum streaming instabilities in multicomponent plasma with dust particles -- Deterministic node deployment for connected target coverage problem in heterogeneous wireless sensor networks for monitoring wind farm -- Review of Maximum Power Point Tracking Algorithms for Photovoltaic Applications. |
| Record Nr. | UNINA-9910299604503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in systems, control and automations : select proceedings of ETAEERE 2020 ; Bhubaneswar, India / / editors, Akash Kumar Bhoi [et al]
| Advances in systems, control and automations : select proceedings of ETAEERE 2020 ; Bhubaneswar, India / / editors, Akash Kumar Bhoi [et al] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (702 pages) : illustrations |
| Disciplina | 320.0011 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electrical engineering
Control theory Automation Automatització Teoria de control Enginyeria elèctrica |
| Soggetto genere / forma |
Llibres electrònics
Congressos |
| ISBN | 981-15-8685-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Comparative Analysis of Sic and Gan Devices --A Review on Finding Optimum Paths with Genetic and Annealing Algorithms --Mathematical Analysis of Solar Photovoltaic Array Configurations with Partial Shaded Modules --Discrete Wavelet Transform for CNN-BiLSTM-based Violence Detection --Agrochain: Ascending Blockchain Technology towards Smart Agriculture --Random Subspace Based Hybridized SVM Classification for High Dimensional Data --AlphaAI: Custom Machine Learning Visualization Tool --Dynamic Frequency Control of a Multi-Area Renewable Power System Incorporating with Energy Storage Technologies --A Short Survey on Real-Time Object Detection and its Challenges --Small Object Detection from Video and Classification using Deep Learning --An efficient IoT Technology cloud based Pollution Monitoring System. |
| Record Nr. | UNINA-9910483111503321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired Neurocomputing / / edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Chuan-Ming Liu, Valentina E. Balas
| Bio-inspired Neurocomputing / / edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Chuan-Ming Liu, Valentina E. Balas |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (427 pages) : illustrations |
| Disciplina | 006.38 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Optical data processing Neurosciences Machine learning Neural networks (Computer science) Computational Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Mathematical Models of Cognitive Processes and Neural Networks |
| ISBN | 981-15-5495-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Performance Measurement of various Hybridized kernels for Noise Normalization -- A precise analysis of Deep Learning for Medical Image Processing -- Artificial Intelligence for Internet of Things -- A Brief Review on Brain Tumour Detection -- Deep Learning Techniques for Electronic Health -- A Review on Psychological Brainwaves Behavior. |
| Record Nr. | UNINA-9910483945103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cognitive Informatics and Soft Computing : Proceeding of CISC 2019 / / edited by Pradeep Kumar Mallick, Valentina Emilia Balas, Akash Kumar Bhoi, Gyoo-Soo Chae
| Cognitive Informatics and Soft Computing : Proceeding of CISC 2019 / / edited by Pradeep Kumar Mallick, Valentina Emilia Balas, Akash Kumar Bhoi, Gyoo-Soo Chae |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (685 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Bioinformatics Neural networks (Computer science) Artificial intelligence Computational Intelligence Computational Biology/Bioinformatics Mathematical Models of Cognitive Processes and Neural Networks Artificial Intelligence |
| ISBN | 981-15-1451-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Design of Power Efficient and High-Performance Architecture to Spectrum Sensing Applications Using Cyclostationary Feature Detection -- Chapter 2. Detection of Epileptic Seizure based on Relief Algorithm and Multi Support Vector Machine -- Chapter 3. Block Chain Based Shared Security Architecture -- Chapter 4. Assessment of Table Pruning and Semantic Interpretation for Sentiment Analysis using BRAE Algorithm -- Chapter 5. Feature Extraction and Classification between control and Parkinson’s using EMG signal -- Chapter 6. Utilization of Data Analytics Based Approaches for Hassle Free Prediction Parkinson Disease -- Chapter 7. A System for the Study of Emotions with EEG Signals using Machine Learning and Deep Learning -- Chapter 8. Treble band RF energy harvesting system for powering smart textiles -- Chapter 9. Performance analysis of data communication using hybrid NoC for Low Latency and high throughput on FPGA -- Chapter 10. Detection and Prediction of Schizophrenia using Magnetic Resonance Images and Deep Learning -- Chapter 11. Intrusion Detection Systems (IDS) – An Overview with a Generalized Framework -- Chapter 12. Hybrid machine learning model for context aware Social IoT using location based service under both static and mobility conditions -- Chapter 13. An Efficient Fuzzy Logic Control Based Soft Computing Technique for Grid Tied Photovoltaic System -- Chapter 14. Prediction of Academic Performance of Alcoholic Students using Data Mining Techniques -- Chapter 15. Big Data Analysis and Classification of Bio-medical Signal using Random Forest Algorithm. . |
| Record Nr. | UNINA-9910482955803321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cognitive Informatics and Soft Computing [[electronic resource] ] : Proceeding of CISC 2017 / / edited by Pradeep Kumar Mallick, Valentina Emilia Balas, Akash Kumar Bhoi, Ahmed F. Zobaa
| Cognitive Informatics and Soft Computing [[electronic resource] ] : Proceeding of CISC 2017 / / edited by Pradeep Kumar Mallick, Valentina Emilia Balas, Akash Kumar Bhoi, Ahmed F. Zobaa |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (795 pages) |
| Disciplina | 006.301 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering
Bioinformatics Artificial intelligence Computational Intelligence Computational Biology/Bioinformatics Mathematical Models of Cognitive Processes and Neural Networks Artificial Intelligence |
| ISBN | 981-13-0617-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-Tumor Detection and Analysis Based on Advance Region Quantitative Approach of Brest MRI -- A Secure and Computational Efficient Multicast Key Distribution for Wireless Networks -- Data Mining Approaches for Correlation and Cache Replacement in Wireless Ad Hoc Networks -- An approach to detect an image as a Selfie using object recognition methods -- T wave Analysis: Potential Marker of Arrhythmia and Ischemia Detection-A Review -- Functional Link Artificial Neural Network (FLANN) based Design of a Conditional Branch Predictor -- Development of a Model Recommender System for Agriculture using Apriori Algorithm -- Emotion Speech Recognition based on Adaptive Fractional Deep Belief Network and Reinforcement Learning -- A Change Detection Technique using Rough C-Means on Medical Images -- Autonomous Path Guiding Robot for Visually Impaired People -- Analysis of Diabetes for Indian Ladies using Deep Neural Network -- A Survey: Classification of Big Data -- Security Measures In Distributed Approach of Cloud Computing -- The Extent Analysis Based Fuzzy AHP Approach for Relay Selection in WBAN -- Fingerprint Classification by Filter Bank Approach Using Evolutionary ANN -- A sequence based Cellular Manufacturing System design using Genetic Algorithm -- Multimodal Biometrics Authentication using Multiple Matching Algorithm -- Kinship Verification from facial images using feature descriptors -- A Feature Averaging method for Kinship Verification -- An Artificial Intelligence Technique for Low Order Harmonic Elimination in Multilevel Inverters -- A Hybrid Approach to Address IP Traceback Problem using Nature Inspired Algorithm -- OEFC Algorithm - Sentiment Analysis on Goods and Service Tax System in India -- Graph Based Sentiment Analysis Model for E-Commerce websites' data -- Isolated Word Recognition based on Different Statistical Analysis and Feature Selection Technique -- Keyword Extraction from Tweets using Weighted Graph -- A novel method for Epileptic EEG classification using DWT, MGA, and ANFIS: A real time application to cardiac patients with epilepsy -- Exploring hybrid recommender systems for personalized travel applications -- Aggregated Rank in First-Fit-Decreasing for Green Cloud Computing -- Real-Time Vehicle-Type Categorization and Character Extraction from the License Plates -- Ranking decision rules using rough set theory - A comparative analysis -- Performance Comparison of Clustering Algorithms based Image Segmentation on Mobile Devices -- An Enhanced Approach to Memetic Algorithm used for Character Recognition -- Performance Analysis of Extreme Learning Machine Variants with varying Intermediate Nodes and Different Activation Functions -- Role of Filter Sizes in effective Image Classification using Convolutional Neural Network -- Sentiment Analysis on Product Reviews Using Machine Learning Techniques -- Optimization of Electricity Bill on Study of Energy Audit by Using Grid Integration of Renewable Energy Sources -- Computer Aided Diagnosis of Epilepsy Based on the Time-Frequency Texture Descriptors of EEG Signals Using Wavelet Packet Decomposition and Artificial Neural Network -- User identification methods in Cognitive Radio Networks -- Design and Performance Analysis of Optical Signal Processing Module in Open Air & Underwater Environment -- Analysis of Jitter and Shimmer for Parkinson’s disease diagnosis using telehealth -- Real Time Bio-Medical Recursive Images Detection Algorithm for Indian Telemedicine Environment -- Application of Multi Domain Fusion Methods for Detecting Epilepsy from Electroencephalogram Using Classification Methods -- A Cognitive Approach for Design of Smart Toilet in Healthcare Units -- A Novel Trimet Graph Optimization (TGO) topology for Wireless Networks. |
| Record Nr. | UNINA-9910483999703321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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DC--DC Converters for Future Renewable Energy Systems
| DC--DC Converters for Future Renewable Energy Systems |
| Autore | Priyadarshi Neeraj |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore Pte. Limited, , 2021 |
| Descrizione fisica | 1 online resource (480 pages) |
| Altri autori (Persone) |
BhoiAkash Kumar
BansalRamesh C KalamAkhtar |
| Collana | Energy Systems in Electrical Engineering Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-16-4388-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910502672303321 |
Priyadarshi Neeraj
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| Singapore : , : Springer Singapore Pte. Limited, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Enabling Person-Centric Healthcare Using Ambient Assistive Technology : Personalized and Patient-Centric Healthcare Services in AAT / / edited by Paolo Barsocchi, Naga Srinivasu Parvathaneni, Amik Garg, Akash Kumar Bhoi, Filippo Palumbo
| Enabling Person-Centric Healthcare Using Ambient Assistive Technology : Personalized and Patient-Centric Healthcare Services in AAT / / edited by Paolo Barsocchi, Naga Srinivasu Parvathaneni, Amik Garg, Akash Kumar Bhoi, Filippo Palumbo |
| Autore | Barsocchi Paolo |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (322 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
ParvathaneniNaga Srinivasu
GargAmik BhoiAkash Kumar PalumboFilippo |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Biomedical engineering Artificial intelligence Computational Intelligence Biomedical Engineering and Bioengineering Artificial Intelligence |
| ISBN | 3-031-38281-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sensor Datasets for Human Daily Safety and Well-being -- Habitpad: A Habit-Change Person-Centric Healthcare Mobile Application with Machine Leaning and Gamification Features for Obesity -- Human centered Mathematics: a framework for medical applications based on Extended Reality and Artificial Intelligence -- Attentive Vision-Based Model for Sarcopenia Screening by Automating Timed Up-and-Go (TUG) Test -- AAL with Deep Learning to classify the Diseases remotely from the image data -- Heart Failure Prediction Using Radial Basis with Metaheuristic Optimization -- Healthcare Management And Prediction Of Future Illness Through Autonomous Intelligent Advisory System Using Aat Computational Framework -- ResNet-50-CNN and LSTM based Arrhythmia detection model based on ECG dataset -- A Review of Brain-Computer Interface (BCI) System: Advancement and Applications -- Optimized TSA ResNet architecture with TSH -discriminatory features for kidney stone classification from QUS Images -- Ambient Healthcare: A new Paradigm in Medical Zone -- Illuminating Unexplored Corners in Healthcare Space using Ambience Intelligence -- Depression Assessment in Youths using an Enhanced Deep Learning Approach -- Telemedicine Enabled Remote Digital Healthcare System. |
| Record Nr. | UNINA-9910743695503321 |
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Barsocchi Paolo
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hybrid artificial intelligence and IoT in healthcare / / edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty
| Hybrid artificial intelligence and IoT in healthcare / / edited by Akash Kumar Bhoi, Pradeep Kumar Mallick, Mihir Narayana Mohanty |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (341 pages) |
| Disciplina | 060 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Internet of things
Artificial intelligence - Medical applications Intel·ligència artificial en medicina Internet de les coses |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-16-2972-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- Hybrid Cloud/Fog Environment for Healthcare: An Exploratory Study, Opportunities, Challenges, and Future Prospects -- 1 Introduction -- 2 Applications of Cloud Computing in Smart Healthcare System -- 3 Applications of Fog Computing in Smart Healthcare System -- 4 Challenges of Cloud and Fog Computing in Smart Healthcare System -- 5 The Future Prospects of Cloud and Fog Computing -- 6 Conclusion and Future Research Directions -- References -- Hybrid Intelligent System for Medical Diagnosis in Health Care -- 1 Introduction -- 1.1 Intelligent Systems -- 1.2 Hybrid Intelligent System -- 1.3 Health Care -- 2 Need for Health Care's Intelligent Infrastructure for Medical Diagnosis -- 2.1 Basic Algorithm -- 2.2 Applications in Diagnosis -- 3 Hybrid Intelligent Medical Diagnosis System -- 3.1 Adaptive Neuro-Fuzzy Inference Systems (ANFIS) -- 3.2 Ensemble Approaches -- 3.3 Evolutionary Artificial Neural Network -- 3.4 Application of Hybrid Intelligent System in Health Care -- 4 Need of Hybrid Intelligent System in Medical Diagnosis -- 5 Conclusion -- References -- Remote Patient Monitoring Using IoT, Cloud Computing and AI -- 1 Cloud-Oriented IoT Using AI -- 1.1 Introduction to Internet of Things -- 1.2 Cloud Computing (CC) -- 1.3 Artificial Intelligence (AI) -- 1.4 Deep Learning Architecture -- 2 Wireless Body Networks (WBN) -- 2.1 Overview -- 2.2 Architecture and Applications -- 2.3 Hybrid Sensor-Based Healthcare Systems -- 3 Cloud Infrastructure and Processing -- 3.1 Overview -- 3.2 Topology and Network Protocol for Remote Monitoring -- 3.3 Cloud Infrastructure -- 3.4 Cloud Computing Components and Characteristics -- 4 Challenges in Cloud and AI-Based IoT on Remote Monitoring -- 4.1 Overview -- 4.2 Accessing Cloud with Validation -- 4.3 Block Chain-Oriented Healthcare Records.
4.4 Reliability and Complexity in Computational Intelligence -- 5 Case Studies -- 5.1 IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform [27] -- 5.2 Internet of Things Sensor Assisted Security and Quality Analysis for Healthcare Datasets Using Artificial Intelligent-Based Heuristic Health Management System [28] -- 5.3 A Survey on Deep Transfer Learning to Edge Computing for Mitigating the COVID-19 Pandemic [29] -- References -- An Analytical Study of the Role of M-IoT in Healthcare Domain -- 1 Introduction to IoT and Healthcare -- 2 Integration of M-IOT in Healthcare -- 3 Working Principle of M-IOT in Healthcare -- 4 Comparative Analysis of Existing M-IoT Technologies -- 5 Applications of M-IOT Devices in Healthcare -- 6 Benefits of M-IoT -- 7 Challenges of M-IoT -- 8 Relevant Studies on M-IoT in Healthcare -- 9 Discussion of the Use M-IoT in Cancer Detection -- 10 M-IoT in Blood Pressure Measurement from Heart Rate -- 11 Conclusion and Future Scope -- References -- Hybrid AI and IoT Approaches Used in Health Care for Patients Diagnosis -- 1 Introduction -- 2 Methodology Used -- 3 Conclusion -- References -- RADIoT: The Unifying Framework for IoT, Radiomics and Deep Learning Modeling -- 1 Introduction -- 2 The Internet of Things (IoT) in smart healthcare system -- 2.1 Internet of Things (IoT) for Radiomics -- 3 The Radiomics -- 3.1 Dataset Acquisition -- 3.2 Volume of Interests (VOIs) Segmentation -- 3.3 Feature Mining -- 3.4 Feature Selection -- 3.5 Model Development -- 4 Machine Learning Models for Radiomics -- 4.1 Traditional ML Models -- 4.2 Deep Learning (DL) Models -- 4.3 Performance Indicators for ML Models -- 5 Challenges, Open Issues and Opportunities -- 5.1 Challenges of Handicraft Radiomics -- 5.2 Challenges of Deep Learning for Radiomics Analysis -- 5.3 Challenges of IoT in Radiomics. 5.4 Open Issues and Opportunities -- 6 Implementation -- 6.1 The RADIoT Unifying Radiomics Framework -- 6.2 Feature Selection -- 6.3 Classification Results and Discussion -- 7 Conclusion and Future Research Directions -- References -- Hybrid Artificial Intelligence and IoT in Health care for Cardiovascular Patient in Decision-Making System -- 1 Introduction -- 1.1 Comprehensive Health Care Systems -- 1.2 Connected eHealth Mobile Applications -- 1.3 Artificial Intelligence -- 2 Data Source -- 2.1 Analysis of Data -- 3 Materials and Methods -- 3.1 Data Gathering -- 3.2 Feature Selection -- 3.3 Classification -- 4 Various Machine Learning Algorithms -- 4.1 Logistic Regression -- 4.2 Naïve Bayes -- 4.3 Random Forest -- 4.4 Support Vector Machine -- 4.5 Gradient Boosting -- 4.6 Accuracy Module -- 5 Results and Discussion -- 6 Conclusion -- References -- A Smart Assistive System for Visually Impaired to Inform Acquaintance Using Image Processing (ML) Supported by IoT -- 1 Introduction -- 2 Related Work -- 3 System Design -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Internet of Things in Health Care: A Survey -- 1 Introduction -- 2 Classification and Overview -- 2.1 Based on Privacy and Security Techniques -- 2.2 Based on e-Health and m-Health -- 2.3 Based on Cloud, Fog, and Evolutionary Computing -- 2.4 Based on Network and Communication Techniques -- 2.5 Based on System Design and Architecture -- 3 Classification Based on Optimization Goal and Evaluation Platform -- 4 IoT Techniques -- 4.1 Access and Authentication -- 4.2 Compression and Encryption -- 4.3 E-health and M-health -- 4.4 Big Data and Cloud Computing -- 4.5 Evolutionary Computing Algorithms -- 4.6 Fog and Cloud Computing -- 4.7 Network and Communication -- 4.8 System Design and Architecture -- 5 Conclusion and Future Outlook -- References. Disease Diagnosis System for IoT-Based Wearable Body Sensors with Machine Learning Algorithm -- 1 Introduction -- 2 The General Overview of IoT-Based Applications in Smart Healthcare System -- 3 The Applications of Wearable Body Sensors in Smart Healthcare System -- 4 IoT-Wearable Body Sensors-Based Framework with Machine Learning Algorithm for Disease Diagnosis -- 5 The Application of Machine Learning for the Diagnosis of Heart Diseases as Case Study -- 5.1 The Heart Disease Dataset Characteristics -- 5.2 Performance Evaluation Metrics -- 6 Results and Discussion -- 6.1 The Precision-Recall Curve (PRC) -- 6.2 Confusion Matrix -- 7 Conclusion and Future Research Directions -- References -- Integration of Machine Learning and IoT in Healthcare Domain -- 1 Healthcare Viewpoint -- 1.1 Machine Learning in Health Care -- 1.2 IoT in Health Care -- 2 Renowned Machine Learning Application in the Field of Health Care -- 2.1 Identifying Disease and Diagnosis -- 2.2 Machine Learning in Radiology -- 2.3 Clinical Trial and Research -- 2.4 Outbreak Prediction -- 3 Internet of Things (IoT) Applications in Clinical Domain -- 3.1 Depression Monitoring Apple Watch App -- 3.2 Coagulation Testing -- 3.3 Medical Information Distribution -- 3.4 Emergency Care -- 4 A General Architecture for IoMT Systems -- 5 Various Extensive Studies Conducted -- 6 Review of IoMT Monitoring Solutions -- 6.1 Physiological Analysis -- 6.2 IoMT Solutions in Rehabilitation Systems -- 6.3 Assessing of Diet Intake and Skin Pathology -- 6.4 Treatments Pertaining to the Spread of Epidemics and Their Diagnosis -- 6.5 Diagnosis and Treatment of Diabetes -- 7 Trends and Discussions About Applications -- 8 A Smart Predictive Framework for Disease Risk Factors Detection -- 9 Summary -- References -- Managing Interstitial Lung Diseases with Computer-Aided Visualization -- 1 Introduction. 2 ILD Diagnosis -- 2.1 HRCT Patterns -- 2.2 ILD Diagnosis Summary -- 2.3 ILD Treatment Algorithms -- 3 Computer-Aided Techniques -- 3.1 Regression -- 3.2 Hidden Markov Models -- 3.3 Neural Networks -- 3.4 Complex Networks -- 3.5 Layout Algorithm Selection -- 4 Conclusion -- References -- Use of Machine Learning Algorithms to Identify Sleep Phases Starting from ECG Signals -- 1 Introduction -- 2 Related Works -- 3 The Database -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Numerical Results -- 4.3 Statistical Analysis -- 5 Summary/Conclusion -- References -- Emerging Technologies for Pandemic and Its Impact -- 1 Introduction -- 2 Surveillance -- 2.1 Location Data -- 2.2 Health Tracking Mobile Applications -- 2.3 Robotic Diagnostic System -- 2.4 Robotic Patrolling System -- 3 Healthcare -- 3.1 3D Printing Supplies -- 3.2 Advanced Isolation Cubicles with Automation -- 3.3 Autonomous Vehicles -- 3.4 Cobotics for Treatment -- 4 Economy -- 4.1 3D Remote Work with XR (AR or VR) -- 4.2 Sanitization Systems for Essential Workers -- 5 Lockdown -- 5.1 Drones -- 5.2 AI Based Entertainment Streaming -- 5.3 Automation and Innovation in Cleaning -- 6 Education -- 6.1 Interactive Mixed Reality (MR) Classrooms -- 6.2 AI for Analyzing Student Mental Health -- 7 Conclusion -- References -- Impact of Artificial Intelligence in Health care: A Study -- 1 Introduction -- 1.1 Autonomous Vehicles -- 1.2 Cybersecurity -- 1.3 Agriculture -- 1.4 Social Media and Gaming -- 1.5 Military -- 1.6 Finance and Business -- 2 AI in Health care -- 3 Existing Applications Integrating AI in the Healthcare Sector -- 3.1 Virtual Nurses and Digital Consultation -- 3.2 Robots -- 3.3 Cybersecurity -- 3.4 Administration and Workflow -- 3.5 Dosage and Treatment Design -- 3.6 Fraud Detection -- 3.7 Health Monitoring -- 3.8 Drug Creation and Clinical Trial Participation. 3.9 Treatment Design and Precision Medicine. |
| Record Nr. | UNINA-9910495204203321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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