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Cultures of prediction : how engineering and science evolve with mathematical tools / / Ann Johnson, Johannes Lenhard
| Cultures of prediction : how engineering and science evolve with mathematical tools / / Ann Johnson, Johannes Lenhard |
| Autore | Johnson Ann <1965-2016, > |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cambridge, Massachusetts : , : The MIT Press, , 2024 |
| Descrizione fisica | 1 online resource (272 pages) |
| Disciplina | 620.001/51 |
| Collana | Engineering studies |
| Soggetto topico |
Mathematical models - History
Engineering mathematics - History Predictive analytics Predictive control |
| ISBN |
0-262-37905-8
0-262-37904-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hitting the target with mathematics -- Engineering knowledge, autonomy, and mathematics -- Overlapping modes in the behavior of molecules -- Systems thinking and the limits to growth -- The fluidity of computational models -- A transformation of Bayesian statistics -- Engineering thermodynamics. |
| Record Nr. | UNINA-9910901897503321 |
Johnson Ann <1965-2016, >
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| Cambridge, Massachusetts : , : The MIT Press, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolving Predictive Analytics in Healthcare : New AI Techniques for Real-Time Interventions
| Evolving Predictive Analytics in Healthcare : New AI Techniques for Real-Time Interventions |
| Autore | Kumar Abhishek |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Piraí : , : Institution of Engineering & Technology, , 2022 |
| Descrizione fisica | 1 online resource (362 pages) |
| Disciplina | 610.285 |
| Altri autori (Persone) |
DubeyAshutosh Kumar
BhatiaSurbhi KumarSwarn Avinash LeDac-Nhuong |
| Collana | Healthcare Technologies |
| Soggetto topico |
Artificial intelligence - Medical applications
Predictive analytics |
| ISBN |
1-83724-475-8
1-5231-5343-1 1-83953-512-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intro -- Title -- Copyright -- Contents -- About the Editors -- 1 COVID-19 detection in X-ray images using customized CNN model -- 1.1 Introduction -- 1.2 Related work -- 1.2.1 Key contributions and proposed work -- 1.3 Materials and methods -- 1.3.1 Feature extraction and selection -- 1.4 Results and discussion -- 1.5 Conclusion and future scope -- References -- 2 Introducing deep learning in medical diagnosis -- 2.1 Introduction -- 2.2 Literature survey -- 2.3 Overview of DL algorithms -- 2.3.1 Convolutional neural network -- 2.3.2 Recurrent neural network -- 2.3.3 Long short-term memory 2.3.4 Restricted Boltzmann machine -- 2.3.5 Deep belief networks -- 2.4 Proposed DL framework for neuro disease diagnosis -- 2.4.1 FAST-RCNN -- 2.4.2 Ten fully connected layer -- 2.5 Preprocessing of dataset -- 2.6 Implementation and results -- 2.7 Conclusion -- References -- 3 Intelligent approach for network intrusion detection system (NIDS) utilizing machine learning (ML) -- 3.1 Introduction -- 3.1.1 DoS and DDoS attacks -- 3.1.2 Man-in-the-middle (MitM) attack -- 3.1.3 Phishing and spear-phishing attacks -- 3.1.4 Password attack -- 3.1.5 Eavesdropping attack -- 3.1.6 Malware attack 3.2 Related work -- 3.3 Cloud computing -- 3.3.1 Machine learning -- 3.3.2 Exploratory data analysis -- 3.4 Results -- References -- 4 Classification methodologies in healthcare -- 4.1 Introduction -- 4.2 Classification algorithms -- 4.2.1 Statistical data -- 4.2.2 Discriminant analysis -- 4.2.3 Decision tree -- 4.2.4 K-nearest neighbor (KNN) -- 4.2.5 Logistic regression (LR) -- 4.2.6 Bayesian classifier -- 4.2.7 Support vector machine (SVM) -- 4.3 Parameter identification -- 4.3.1 Feature selection for classi cation -- 4.4 Real-time applications 4.4.1 Classification of patients based on medical record -- 4.4.2 Predictive analytics and diagnostic analytics based on medical records -- 4.4.3 Classification of diseases based on medical imaging -- 4.4.4 Mixed reality-based automation to help aid aging society -- 4.4.5 Tiny ML-based classification systems for medical gadgets -- 4.4.6 Classification systems for insurance claim management -- 4.4.7 Case study: Inspectra from Perceptra -- 4.4.8 Deep learning for beginners -- References -- 5 Introducing deep learning in medical domain -- 5.1 Introduction -- 5.1.1 DL in a nutshell 5.1.2 History of DL in the medical field -- 5.1.3 Benefits of DL in the medical domain -- 5.1.4 Challenges and obstacles of DL in the medical domain -- 5.1.5 Opportunities of DL in the medical field -- 5.2 DL applications in the medical domain -- 5.2.1 Drug discovery and medicine precision -- 5.2.2 Detection of diseases -- 5.2.3 Diagnosing patients -- 5.2.4 Healthcare administration -- 5.3 DL for medical image analysis -- 5.3.1 Medical image detection -- 5.3.2 Medical image recognition -- 5.3.3 Medical image segmentation -- 5.3.4 Medical image registration. |
| Altri titoli varianti | Evolving Predictive Analytics in Healthcare |
| Record Nr. | UNINA-9911007017203321 |
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Kumar Abhishek
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| Piraí : , : Institution of Engineering & Technology, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Fifth Phase : An Insight-Driven Approach to Business Transformation
| The Fifth Phase : An Insight-Driven Approach to Business Transformation |
| Autore | Powell Mark |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | London : , : LID Publishing, , 2024 |
| Descrizione fisica | 1 online resource (121 pages) |
| Soggetto topico |
Artificial intelligence
Predictive analytics |
| ISBN | 9781915951007 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover -- Back Cover -- Title -- Contents -- Foreword -- Introduction -- 1. The Situation Centre -- 2. The First Phase: A Scientific Revolution -- 3. The Second Phase: Taylorism with Computers -- 4. The Third Phase: Process Management -- 5. The Fourth Phase: Drowning in Data Lakes -- 6. The Intelligence of Machines -- 7. Not All Data Are Created Equal -- 8. Leaving the Tool-o-Sphere -- 9. Moving Beyond the Familiar -- 10. New Drugs from Known Ones: The Biovista Story -- 11. Leading Transformational Change -- Notes -- Acknowledgements -- Copyright |
| Record Nr. | UNINA-9911008986403321 |
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Powell Mark
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| London : , : LID Publishing, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Harnessing the power of analytics / / Leila Halawi, Amal Clarke and Kelly George
| Harnessing the power of analytics / / Leila Halawi, Amal Clarke and Kelly George |
| Autore | Halawi Leila |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (153 pages) : illustrations (chiefly color) |
| Disciplina | 001.42 |
| Soggetto topico | Predictive analytics |
| ISBN | 3-030-89712-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction to Analytics and Data Science Chapter 2. Data Types Structure & Data Preparation Process Chapter 3. Data Exploration and Data Visualization. Chapter 4. Evaluating Predictive Performance Chapter 5. Decision Trees & Ensemble Chapter 6. Regression Models Chapter 7. Neural Networks Chapter 8. Model Deployment |
| Record Nr. | UNINA-9910522570603321 |
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Halawi Leila
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Predictive Analytics with SAS and R : Core Concepts, Tools, and Implementation / / by Ramchandra S Mangrulkar, Pallavi Vijay Chavan
| Predictive Analytics with SAS and R : Core Concepts, Tools, and Implementation / / by Ramchandra S Mangrulkar, Pallavi Vijay Chavan |
| Autore | Mangrulkar Ramchandra S |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
| Descrizione fisica | 1 online resource (175 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | Vijay ChavanPallavi |
| Soggetto topico |
Predictive analytics
SAS (Computer program language) R (Computer program language) Artificial intelligence |
| ISBN | 9798868809057 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Introduction to Analytics -- Chapter 2 Simple Linear Regression -- Chapter 3 Multiple Linear Regression -- Chapter 4 Multivariate Analysis and Prediction -- Chapter 5 Time Series Analysis. |
| Record Nr. | UNINA-9910983384903321 |
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Mangrulkar Ramchandra S
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| Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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