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Advances in production and industrial engineering : select proceedings of ICETMIE 2019 / / P. M. Pandey, Pradeep Kumar, Vikas Sharma, editors
| Advances in production and industrial engineering : select proceedings of ICETMIE 2019 / / P. M. Pandey, Pradeep Kumar, Vikas Sharma, editors |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (XII, 467 p. 234 illus., 174 illus. in color.) |
| Disciplina | 620.11292 |
| Collana | Lecture Notes in Mechanical Engineering |
| Soggetto topico | Mechanical engineering - Research |
| ISBN | 981-15-5519-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Effect of Angular Orientation of Continuous Fibers on the Extensional Properties of Carbon Fiber Composites -- Simulation of Nanowires on C-Si Surface for Reflectance Reduction -- Investigation of Surface Roughness of Miniature Spur Gears Fabricated Using WEDM by RSM Approach -- Multi-Objective Analysis of Nd-YAG Laser Welding on Dissimilar Metals -- Fabrication and Tensile Testing of DHAK Fiber Reinforced Polyester Composites -- Solving Unequal Area Facility Layout Problems with Flexible Bay Structure by Simulated Annealing Algorithm -- Mechanical characterization of Polycarbonate-Graphene oxide (PCG) Nano Composite -- Optimal Selection of Circular interpolation for CNC Turning Centers -- Comparative Experimental Analysis of Machining Parameters for Inconel 825 on Cryogenic Treatment -- Optimizing Gas Injection Stir Casting Process Parameters for Improving Ultimate Tensile Strength of Hybrid Mg/(Sicp+Al2O3p+Grp) Through Taguchi Technique. |
| Record Nr. | UNINA-9910483413103321 |
| Gateway East, Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Current Trends in Plant Disease Diagnostics and Management Practices / / edited by Pradeep Kumar, Vijai Kumar Gupta, Ajay Kumar Tiwari, Madhu Kamle
| Current Trends in Plant Disease Diagnostics and Management Practices / / edited by Pradeep Kumar, Vijai Kumar Gupta, Ajay Kumar Tiwari, Madhu Kamle |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (471 p.) |
| Disciplina | 632.3 |
| Collana | Fungal Biology |
| Soggetto topico |
Plant diseases
Plant breeding Plant Pathology Plant Breeding/Biotechnology |
| ISBN | 3-319-27312-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Molecular Diagnosis of Killer Pathogen of Potato: Phytophthora Infestans and Its Management -- Biocontrol Mechanism of Bacillus for Fusarium Wilt Management in Cumin (Cuminum Cyminum L.) -- Eco Friendly Management of Damping-off of Solanaceous Crops Caused by Pythium Species -- Biological Agents in Fusarium Wilt (FW) Diagnostic for Sustainable Pigeon Pea Production, Opportunities and Challenges -- Recent Diagnostics and Detection Tools: Implications for Plant Pathogenic Alternaria and Their Disease Management -- Molecular Prospecting: Advancement in Diagnosis and Control of Rhizoctonia Solani Diseases in Plants -- Fusarium moniliforme Associated with Sugarcane Leaf Binding Disease in India and Its Possible Management -- Macrophomina phaseolina: The Most Destructive Soybean Fungal Pathogen of Global Concern -- Colletotrichum gloeosporioides: Pathogen of Anthracnose disease in Mango (Mangifera indica L.) era Indica L.). |
| Record Nr. | UNINA-9910253880203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Cyber Security and Digital Forensics : Select Proceedings of the 2nd International Conference, ReDCySec 2024 / / edited by Nihar Ranjan Roy, Amit Prakash Singh, Pradeep Kumar, Ajay Kaul
| Cyber Security and Digital Forensics : Select Proceedings of the 2nd International Conference, ReDCySec 2024 / / edited by Nihar Ranjan Roy, Amit Prakash Singh, Pradeep Kumar, Ajay Kaul |
| Autore | Roy Nihar Ranjan |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (546 pages) |
| Disciplina | 005.8 |
| Altri autori (Persone) |
SinghAmit Prakash
KumarPradeep KaulAjay |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Data protection
Telecommunication Forensic sciences Data and Information Security Communications Engineering, Networks Forensic Science |
| ISBN |
9789819632848
9789819632831 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Navigating Post-Quantum Blockchain: Resilient Cryptography in Quantum Threats -- Impact of Mobile Node Power Consumption in different Mobility Models on Security -- Cyber Resilience Based Education System -- Enhancing Patient Access and Security: Blockchain-QR Integrated Hospital On Tap System -- Adapting GDPR to the Indian Context – Challenges and Implementation Framework -- Leveraging Machine Learning Algorithms for Enhanced Network Intrusion Detection and Categorization (NIDC) -- A security model for the enhancement of mobile security. |
| Record Nr. | UNINA-9911021964303321 |
Roy Nihar Ranjan
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Decarbonisation and Digitization of the Energy System : Proceedings of the 2nd International Conference on Smart Grid Energy Systems and Control, SGESC 2023 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar
| Decarbonisation and Digitization of the Energy System : Proceedings of the 2nd International Conference on Smart Grid Energy Systems and Control, SGESC 2023 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (366 pages) |
| Disciplina | 621.317 |
| Collana | Lecture Notes in Electrical Engineering |
| Soggetto topico |
Electric power production
Electric power distribution Energy policy Electrical Power Engineering Energy Grids and Networks Energy Policy, Economics and Management |
| ISBN | 981-9976-30-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Optimal Energy Scheduling And Feasibility Analysis In Microgrid Considering The Hospital Load Model With Isolated Grid -- Optimal Allocation And Sizing Of Distributed Generation In IEEE-85 Bus System Considering Various Load Models Using Multi-Objective Metaheuristic Algorithms -- A Sustainable Privacy-Preserving Aggregation Authentication Protocol For Smart Grid -- A Low-Cost WECS For Remote Area Electrification. Optimal Sizing Of Grid-Connected Hybrid Renewable Energy System Using The GWO Algorithm And Adapting The Time Of Use Tariff Rates -- Comparative Analysis Of Load Forecasting By Using Ann, Fuzzy Logic And ANFIS -- A Practical Approach To Volt Var Optimization In An Unbalanced Radial Distribution System -- A Construction Of Secure And Efficient Lightweight Authenticated Key Agreement Based On Elliptic Curve Cryptography For Smart Grid -- A Case Study With Analysis For Photovoltaic Array Under Shaded Conditions -- Multi Objective Hybrid Optimal Algorithm For Distribution System Feeder Reconfiguration -- Forecasting Of Daily Average Power Demand For The Chhattisgarh State Of India -- Optimal Placement And Sizing Of Active Power Filters In RDS Using TLBO For Harmonic Distortion Reduction -- Small-Signal Stability Analysis Of Synchronverter Based Ac Microgrid In Islanded Mode -- Feasibility Study Of PV/Wind Hybrid System With Recycled Retired Electric Vehicle Batteries -- A Crest Factor Based Voltage Sag Quantification Method. |
| Record Nr. | UNINA-9910800118303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee
| Deep Learning for Personalized Healthcare Services / / ed. by Vishal Jain, Hadi Hedayati, Salahddine Krit, Omer Deperlioglu, Jyotir Moy Chatterjee |
| Pubbl/distr/stampa | Berlin ; ; Boston : , : De Gruyter, , [2021] |
| Descrizione fisica | 1 online resource (XVIII, 250 p.) |
| Collana | Intelligent Biomedical Data Analysis |
| Soggetto topico | COMPUTERS / Social Aspects / General |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-11-070812-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Frontmatter -- Preface -- Acknowledgments -- Contents -- Short Biography of Editors -- List of Contributors -- Deep learning for health and medicine -- Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- Advanced deep learning techniques and applications in healthcare services -- Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- Early cancer predictions using ensembles of machine learning and deep learning -- Deep learning in patient management and clinical decision making -- Patient health record system -- Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- An overview of the technological performance of deep learning in modern medicine -- Index |
| Record Nr. | UNINA-9910554282103321 |
| Berlin ; ; Boston : , : De Gruyter, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed computing and intelligent technology : 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18-22, 2023, proceedings / / edited by Anisur Rahaman Molla [and three others]
| Distributed computing and intelligent technology : 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18-22, 2023, proceedings / / edited by Anisur Rahaman Molla [and three others] |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (396 pages) |
| Disciplina | 004.6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Computer networks |
| Soggetto non controllato | Mathematics |
| ISBN | 3-031-24848-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Distributed Computing -- Filling MIS Vertices of a Graph by Myopic Luminous Robots -- WANMS: A Makespan, Energy, and Reliability Aware Scheduling Algorithm for Workflow Scheduling in Multi-Processor Systems -- Multiple Criteria Decision Making-based Task Offloading and Scheduling in Fog Environment -- Static Data Race Detection in Multi-Task Programs for Industrial Robots -- Ordered Scheduling in Control-flow Distributed Transactional Memory -- Fault-Tolerant Graph Realizations in the Congested Clique, Revisited -- A Perspective of IP Lookup Approach Using Graphical Processing Unit (GPU) -- Intelligent Technology -- MCMARS: Hybrid Multi-Criteria Decision-Making Algorithm for Recommender Systems of Mobile Applications -- Opinion Maximization in Signed Social Networks using Centrality Measures and Clustering Techniques -- Detection of Object-based Forgery in Surveillance Videos utilizing Motion Residual and Deep Learning -- Mapped-RRT* a Sampling Based Mobile Path Planner Algorithm -- Intelligent Optimization Algorithms for Disruptive Anti-Covering Location Problem -- Enhancing Robustness of Malware Detection Model against White Box Adversarial Attacks -- Early Detection of Covid using Spectral Analysis of Cough and Deep Convolutional Neural Network -- Analysis of Tweets with Emoticons for Sentiment Detection using Classification Techniques -- Fine-tuning of Multilingual Models for Sentiment Classification in Code-mixed Indian Language Texts -- Landslide classification using deep convolutional neural network with synthetic minority oversampling technique -- ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments -- Towards Railway Cable Infrastructure Protection: Turning Cross-Sectional Explorative Analytics to Answers -- Designing an Intangible Tele-Interaction for Point-to-Point Robot Control Using Coercive Gesture Filtering -- Sentiment analytics for crypto pre and post covid: topic modeling -- A Rough Set Based Approach to Compute The Impact of Non-Academic Parameters on Academic Performance -- Varta Rasa - A Simple and Accurate System for Emotion Recognition in Conversations -- An Optimal Approach for Multi-class Object Detection -- Performance Analysis of RPL in IoT Environment -- A novel image steganography technique using AES encryption in DCT domain -- Text Classification using Correlation based Feature Selection on Multi-layer ELM Feature Space -- Multi-Objective Pelican Optimization Algorithm for Engineering Design Problems -- Prediction of Accident and Accident Severity based on Heterogeneous Data. |
| Record Nr. | UNINA-9910640377403321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed computing and intelligent technology : 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18-22, 2023, proceedings / / edited by Anisur Rahaman Molla [and three others]
| Distributed computing and intelligent technology : 19th International Conference, ICDCIT 2023, Bhubaneswar, India, January 18-22, 2023, proceedings / / edited by Anisur Rahaman Molla [and three others] |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (396 pages) |
| Disciplina | 004.6 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Computer networks |
| Soggetto non controllato | Mathematics |
| ISBN | 3-031-24848-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Distributed Computing -- Filling MIS Vertices of a Graph by Myopic Luminous Robots -- WANMS: A Makespan, Energy, and Reliability Aware Scheduling Algorithm for Workflow Scheduling in Multi-Processor Systems -- Multiple Criteria Decision Making-based Task Offloading and Scheduling in Fog Environment -- Static Data Race Detection in Multi-Task Programs for Industrial Robots -- Ordered Scheduling in Control-flow Distributed Transactional Memory -- Fault-Tolerant Graph Realizations in the Congested Clique, Revisited -- A Perspective of IP Lookup Approach Using Graphical Processing Unit (GPU) -- Intelligent Technology -- MCMARS: Hybrid Multi-Criteria Decision-Making Algorithm for Recommender Systems of Mobile Applications -- Opinion Maximization in Signed Social Networks using Centrality Measures and Clustering Techniques -- Detection of Object-based Forgery in Surveillance Videos utilizing Motion Residual and Deep Learning -- Mapped-RRT* a Sampling Based Mobile Path Planner Algorithm -- Intelligent Optimization Algorithms for Disruptive Anti-Covering Location Problem -- Enhancing Robustness of Malware Detection Model against White Box Adversarial Attacks -- Early Detection of Covid using Spectral Analysis of Cough and Deep Convolutional Neural Network -- Analysis of Tweets with Emoticons for Sentiment Detection using Classification Techniques -- Fine-tuning of Multilingual Models for Sentiment Classification in Code-mixed Indian Language Texts -- Landslide classification using deep convolutional neural network with synthetic minority oversampling technique -- ALPR - An Intelligent Approach Towards Detection and Recognition of License Plates in Uncontrolled Environments -- Towards Railway Cable Infrastructure Protection: Turning Cross-Sectional Explorative Analytics to Answers -- Designing an Intangible Tele-Interaction for Point-to-Point Robot Control Using Coercive Gesture Filtering -- Sentiment analytics for crypto pre and post covid: topic modeling -- A Rough Set Based Approach to Compute The Impact of Non-Academic Parameters on Academic Performance -- Varta Rasa - A Simple and Accurate System for Emotion Recognition in Conversations -- An Optimal Approach for Multi-class Object Detection -- Performance Analysis of RPL in IoT Environment -- A novel image steganography technique using AES encryption in DCT domain -- Text Classification using Correlation based Feature Selection on Multi-layer ELM Feature Space -- Multi-Objective Pelican Optimization Algorithm for Engineering Design Problems -- Prediction of Accident and Accident Severity based on Heterogeneous Data. |
| Record Nr. | UNISA-996508672103316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Energy Management in Renewable Sources Integrated System : Proceedings of ICGEST 2023, Volume 1 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar
| Energy Management in Renewable Sources Integrated System : Proceedings of ICGEST 2023, Volume 1 / / edited by Ashwani Kumar, S. N. Singh, Pradeep Kumar |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XVIII, 416 p. 231 illus., 213 illus. in color.) |
| Disciplina | 621.042 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Renewable energy sources
Energy harvesting Energy policy Renewable Energy Energy Harvesting Energy Policy, Economics and Management |
| ISBN | 981-9610-12-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910988294503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Healthcare Monitoring and Data Analysis Using IoT : Technologies and Applications
| Healthcare Monitoring and Data Analysis Using IoT : Technologies and Applications |
| Autore | Jain Vishal |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Stevenage : , : Institution of Engineering & Technology, , 2022 |
| Descrizione fisica | 1 online resource (427 pages) |
| Disciplina | 616.028 |
| Altri autori (Persone) |
ChatterjeeJyotir Moy
KumarPradeep KoseUtku |
| Collana | Healthcare Technologies |
| Soggetto topico | Patient monitoring - Technological innovations |
| ISBN |
1-83724-472-3
1-5231-4666-4 1-83953-438-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- About the editors -- Preface -- Acknowledgments -- 1. COVID-19 pandemic analysis using application of AI | Pawan Whig, Rahul Reddy Nadikattu and Arun Velu -- 1.1 Introduction -- 1.2 Literature survey -- 1.3 Dataset used for analysis -- 1.4 Various machine learning libraries -- 1.5 Training and testing -- 1.6 Bias and variance -- 1.7 Result -- 1.8 Conclusion -- References -- 2. M-health: a revolution due to technology in healthcare sector | Mayuri Diwakar Kulkarni, Ashish Suresh Awate and Jyotir Moy Chatterje -- 2.1 Introduction -- 2.2 Discussion -- 2.3 Conclusion and future work -- References -- 3. Analysis of Big Data in electroencephalography (EEG) | Sagar Motdhare, Garima Mathur and Ravi Kant -- 3.1 Introduction -- 3.2 Methodology -- 3.3 EEG signal recording -- 3.4 Activity/action of EEG -- 3.5 EEG applications -- 3.6 Mathematical model -- 3.7 Across the boundaries of small sample sizes -- 3.8 EEG signal analytics and seizure analysis -- 3.9 EEG digital video -- 3.10 EEG data storage and its management -- 3.11 Big Data in epileptic EEG analysis -- 3.12 Conclusion -- 3.13 Future scope -- References -- 4. An analytical study of COVID-19 outbreak | Shipra Gupta, Vijay Kumar, P. Patil and Lajwanti Kishnani -- 4.1 Introduction -- 4.2 Review of literature -- 4.3 Method -- 4.4 Results -- 4.5 Discussions -- 4.6 Precautions -- 4.7 Conclusions and future scope -- Acknowledgment -- References -- 5. IoT-based smart healthcare monitoring system | Hakan Yuksel -- 5.1 Introduction -- 5.2 Related work -- 5.3 Proposed method -- 5.4 Result and discussion -- 5.5 Conclusion and future scope -- References -- 6. Development of a secured IoMT device with prioritized medical information for tracking and monitoring COVID patients in rural areas | P.K. Jawahar, K. Indragandhi, G. Kannan and Yiu-Wing Leung -- 6.1 Introduction.
6.2 Security threats in IoMT -- 6.3 Introduction to COVID-19 -- 6.4 Proposed system architecture -- 6.5 Conclusion and future scope -- References -- 7. An IoT-based system for a volumetric estimation of human brain morphological features from magnetic resonance images | S.N. Kumar, A. Lenin Fred, L.R. Jonisha Miriam, H. Ajay Kumar, I. Christina Jane, Parasuraman Padmanabhan and Balazs Gulyas -- 7.1 Introduction -- 7.2 Materials and methods -- 7.3 Results and discussion -- 7.4 Conclusion and future scope -- Acknowledgments -- References -- 8. Healthcare monitoring through IoT: security challenges and privacy issues | S.O. Owoeye, A.S. Akinade, K.I. Adenuga and F.O. Durodola -- 8.1 Introduction -- 8.2 IoT applications in personalized healthcare -- 8.3 Challenges of IoT in personalized healthcare -- 8.4 Security of IoT in personalized healthcare -- 8.5 Privacy -- 8.6 Conclusion and future scope -- References -- 9. E-health natural language processing | Saman Hina, Raheela Asif and Pardeep Kumar -- 9.1 Unstructured datasets for E-health NLP research -- 9.2 Annotation challenges dealing with health-care corpora -- 9.3 NLP methods that can be adopted to tackle semantics for medical text analysis -- 9.4 E-health and Internet of Things (IoT) -- 9.5 Contributions required from NLP researchers in health-care applications -- 9.6 Conclusion and future work -- References -- 10. Blockchain of things for healthcare asset management | Sajid Nazir, Mohammad Kaleem, Hassan Hamdoun, Jafar Alzubi and Hua Tianfield -- 10.1 Introduction -- 10.2 Healthcare asset management -- 10.3 Challenges and opportunities in healthcare -- 10.4 Blockchain: concepts and frameworks -- 10.5 Blockchain of things architecture for healthcare asset management -- 10.6 Major healthcare application areas -- 10.7 Conclusion and future work -- References. 11. Artificial intelligence: practical primer for clinical research in cardiovascular disease | Shivendra Dubey, Chetan Gupta and Kalpana Rai -- 11.1 Artificial intelligence -- 11.2 Traditional statistics versus AI -- 11.3 Representative algorithms of AI -- 11.4 Machine power along with big data -- 11.5 Challenges to implementation -- 11.6 Conclusion and future work -- References -- 12. Deep data analysis for COVID-19 outbreak | S.O. Owoeye, O.J. Odeyemi, F.O. Durodola and K.I. Adenuga -- 12.1 Introduction to deep data analysis -- 12.2 Deep data analysis for COVID-19 -- 12.3 CNN architectures -- 12.4 Building the neural network -- 12.5 Neural network architecture -- 12.6 Other parameters used to configure the neural network -- 12.7 Model summary -- 12.8 Metrics used for evaluation -- 12.9 Results and evaluation -- 12.10 Conclusion and future scope -- References -- 13. Healthcare system using deep learning | J.B. Shajilin Loret and P.C. Sherimon -- 13.1 Introduction -- 13.2 History of healthcare deep learning -- 13.3 Deep learning benefits -- 13.4 Components of deep learning -- 13.5 The role of deep learning in healthcare in the future -- 13.6 Deep learning applications in healthcare -- 13.7 Conclusion and future work -- References -- 14. Intelligent classification of ECG signals using machine learning techniques | Kuldeep Singh Kaswan, Anupam Baliyan, Jagjit Singh Dhatterwal, Vishal Jain and Jyotir Moy Chatterjee -- 14.1 Introduction -- 14.2 Heart-generated ECG signal -- 14.3 Filtering parameters least-mean-square algorithm -- 14.4 Retrieve and classify ECG signals utilizing ML-based techniques -- 14.5 Artificial neural network (ANN)-based ECG signals -- 14.6 Classification of ECG signals based fuzzy logic (FL) -- 14.7 Fourier transform wavelet transforms -- 14.8 Combination of machine learning and statistical algorithms. 14.9 Conclusion and future work -- References -- 15. A survey and taxonomy on mutual interference mitigation techniques in wireless body area networks | Neethu Suman and P.C. Neelakantan -- 15.1 Introduction -- 15.2 Interference issues in WBAN -- 15.3 Mutual interference mitigation schemes -- 15.4 Conclusion and future scope -- References -- 16. Predicting COVID cases using machine learning, android, and firebase cloud storage | Ritesh Kumar Sinha, Sukant Kishoro Bisoy, Saurabh Kumar, Sai Prasad Sarangi and Utku Kose -- 16.1 Introduction -- 16.2 Literature survey -- 16.3 Implementation and methodology -- 16.4 Machine learning models -- 16.5 Introduction to android app -- 16.6 Result analysis -- 16.7 Conclusion and future work -- References -- 17. Technological advancement with artificial intelligence in healthcare | Manas Kumar Yogi, Jyotsna Garikipati and Jyotir Moy Chatterjee -- 17.1 Introduction -- 17.2 Literature review -- 17.3 Disease identification and diagnosis -- 17.4 Drug discovery and manufacturing -- 17.5 Electronic health records -- 17.6 Disease prediction using machine learning -- 17.7 Fairness -- 17.8 Data analytics role in healthcare -- 17.9 Deep learning applications in healthcare -- 17.10 Conclusion and future scope -- References -- 18. Changing dynamics on the Internet of Medical Things: challenges and opportunities | Imtiaz Ali Brohi, Najma Imtiaz Ali and Pardeep Kumar -- 18.1 Introduction -- 18.2 The applications of Internet of Things -- 18.3 Healthcare and Internet of Things -- 18.4 Security in Internet of Medical Things -- 18.5 Privacy in Internet of Medical Things -- 18.6 Perception of trust and risk in IoMT -- 18.7 Conclusion and future scope -- References -- 19. Internet of Drones (IOD) in medical transport application | G. Prasad, J. Kavya and J. Sahana -- 19.1 Introduction to unmanned aerial vehicle. 19.2 Internet of Things in Industry 5.0 -- 19.3 Applications in medical transport -- 19.4 Methodology and approach -- 19.5 Conclusion and future -- Acknowledgment -- References -- 20. Blockchain-based Internet of Things (IoT) for healthcare systems: COVID-19 perspective | Anand Sharma, S.R. Biradar, H.K.D. Sarma and N.P. Rana -- 20.1 Introduction -- 20.2 IoT in healthcare system -- 20.3 COVID-19 outbreak -- 20.4 Blockchain -- 20.5 Blockchain-based IoT for healthcare systems -- 20.6 Advantages of proposed system -- 20.7 Conclusion and future scope -- References -- 21. Artificial intelligence-based diseases detection and diagnosis in healthcare | Said El Kafhali and Iman El Mir -- 21.1 Introduction -- 21.2 Overview of diseases detection and diagnosis techniques -- 21.3 Supervised learning models -- 21.4 Unsupervised learning models -- 21.5 Reinforcement learning models -- 21.6 Summary of some applications for disease diagnosis in healthcare -- 21.7 Some open research problems -- 21.8 Conclusions -- References -- Index. |
| Record Nr. | UNINA-9911006840803321 |
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Jain Vishal
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| Stevenage : , : Institution of Engineering & Technology, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Microbial Genomics in Sustainable Agroecosystems : Volume 2 / / edited by Vijay Tripathi, Pradeep Kumar, Pooja Tripathi, Amit Kishore, Madhu Kamle
| Microbial Genomics in Sustainable Agroecosystems : Volume 2 / / edited by Vijay Tripathi, Pradeep Kumar, Pooja Tripathi, Amit Kishore, Madhu Kamle |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (377 pages) |
| Disciplina | 579.17 |
| Soggetto topico |
Microbial genetics
Microbial genomics Sustainable development Microbial ecology Agriculture Biotic communities Microbial Genetics and Genomics Sustainable Development Microbial Ecology Ecosystems Microbiologia agrícola |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-329-860-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Shared microbiome in different ecosystems: a meta-omics perspective -- Chapter 2: Application of molecular and sequencing techniques in analysis of microbial diversity in agroecosystem -- Chapter 3: Bioinformatics Resources for Microbial Research in Biological Systems -- Chapter 4: Applications of microarray-based technologies in identifying disease-associated single nucleotide variations -- Chapter 5: Impact of microbial genomics approaches for novel antibiotic target -- Chapter 6: Next Generation Sequencing (NGS) platforms: An Exciting Era of Genome Sequence Analysis -- Chapter 7: Annotation of Biological Network of Fungus Saccharomyces cereviseae Using Cytoscape in System Biology -- Chapter 8: Recent Advances in Microbial Genome Sequencing -- Chapter 9: Functional genomics of Microbial Pathogens for Crop Improvement -- Chapter 10: Role of microbial genomics in plant health protection and soil health maintenance -- Chapter 11: Role of Microbial genomics in Crop improvement -- Chapter 12: Current Status and Future Prospects of Omics Tools In Climate Change Research -- Chapter 13: Plant and Microbial genomics in Crop improvement -- Chapter 14: Alkaline Protease: A tool to manage solid waste and its utility in detergent industry -- Chapter 15: Heavy metal toxicity and possible functional aspects of microbial diversity in heavy metal contaminated sites -- Chapter 16: Bioremediation of nutrients and heavy metals from wastewater by microalgal cells: mechanism and kinetics -- Chapter 17: Meta-omics in detection of silkworm gut microflora diversity. |
| Record Nr. | UNINA-9910373912303321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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