Machine Learning-Enabled IoT for Smart Applications Across Industries

Applying AI-Based IoT Systems to Simulation-Based Information Retrieval

Deep Learning Techniques for Cloud-Based Industrial IoT

Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning

Designing Sustainable Internet of Things Solutions for Smart Industries

Convergence of Deep Learning and Internet of Things: Computing and Technology

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Machine Learning and Internet of Things in Fire Ecology

Global Applications of the Internet of Things in Digital Marketing

Machine Learning and Deep Learning for Smart Agriculture and Applications

Innovations in Machine Learning and IoT for Water Management

Advanced Interdisciplinary Applications of Deep Learning for Data Science

Applying Internet of Things and Blockchain in Smart Cities: Industry and Healthcare Perspectives

Machine Intelligence Applications in Cyber-Risk Management

Streamlining Organizational Processes Through AI, IoT, Blockchain, and Virtual Environments (Advances in Business Information Systems and Analytics)

Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World

Mitigating Cyber Threats Through Machine Learning

Deep Learning in Medical Signal and Image Processing

Driving Quality Education Through AI and Data Science

Information Science Reference

Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials

Machine Learning Algorithms Using Scikit and TensorFlow Environments

Scalable Modeling and Efficient Management of IoT Applications

Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals

Enhancing Automated Decision-Making Through AI

Advancing Intelligent Networks Through Distributed Optimization