Hybrid Information Systems : Non-Linear Optimization Strategies with Artificial Intelligence /
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling hand...
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| Médium: | E-kniha |
| Jazyk: | angličtina |
| Vydáno: |
Berlin ; Boston :
De Gruyter,
[2024]
2024 |
| Edice: | De Gruyter Textbook
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| Témata: | |
| ISBN: | 9783111331133 (online) |
| On-line přístup: |
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Obsah:
- Frontmatter
- Contents
- Contributing authors
- Synchronizing neural networks, machine learning for medical diagnosis, and patient representation: looping advanced optimization strategies assisting experts for complex mechanisms behind health and disease detection
- The future of predictive health: evaluating the role of neural network based hybrid models in healthcare
- An overview of new trends on deep learning models for diabetes risk prediction
- A study on the detection and diagnosis of cervical cancer using machine and deep learning models
- Sentiments and opinions shared on social media during the COVID-19 pandemic using machine learning techniques
- Combining decision tree and Bayesian networks for improved predictive analytics
- Emerging trends in hybrid information systems modeling in artificial intelligence
- Hybrid approaches for improving cybersecurity and network intrusion system
- IoT security enhancement through blockchain solutions
- Securing cloud data exchange related to IoT devices: key challenges and its machine learning solutions
- Hybrid information systems for modeling traffic management and control
- Integrative hybrid information systems for enhanced traffic maintenance and control in Bangalore: a synchronized approach
- A comprehensive study for weapon detection technologies for surveillance under different YoloV8 models on primary data
- Strategic design of asymmetric graphene and ReS2 field-effect transistors using nonlinear optimization and machine learning
- Recent advancements in perfect difference networks for image recognition: a survey and analysis
- Image to text to speech: a web-based application using optical character recognition and speech synthesis
- Biomimicry and nature-inspired solutions for environmental sustainability
- Intelligent analysis of flowers and knowledge generation: an empirical study for agriculture 4.0
- Harnessing the power of hybrid models for supply chain management and optimization
- Optimizing long short-term memory networks for univariate time series forecasting: a comprehensive guide
- Optimizing bidirectional long short-term memory networks for univariate time series forecasting: a comprehensive guide
- Optimizing convolutional neural networks for univariate time series forecasting: a comprehensive guide
- Optimizing gated recurrent unit networks for univariate time series forecasting: a comprehensive guide
- Artificial intelligence-based diagnosis and treatment of childhood bronchial allergies
- Index

