Today, technologies like artificial intelligence (AI) and the internet of things (IoT) have established themselves as essential components of practically every industry. The range of applications for AI and IoT is as broad as the horizon and includes everything from healthcare to industry and agriculture. These technologies are currently widely employed in industrialized nations, while they are still in their infancy in emerging nations. The COVID-19 pandemic had a greater impact on these nations' economies and healthcare systems, making it more important than ever to embrace new approaches to problems with sustainable development.
Innovative artificial intelligence is added to existing blockchain technology to create smart blockchain, which gives a blockchain system high-level economy, adaptivity, and autonomy. Smart blockchain, in contrast to standard blockchain approaches, adds new features to blockchain systems using data mining, pattern recognition, machine learning, and deep learning on top of the existing blockchain technology, which has significant potential to help the current IoT systems.
The purpose of this Research Topic is to highlight blockchain, IoT, and AI-based innovations that can address the difficulties associated with sustainable development. We will shine light on a variety of industries, including those in agriculture, business, transportation, the environment, energy, and healthcare, among others. The proposed Special Issue is intended for a wide variety of writers, including academics, students, and businesses engaged in R&D.
Topics:
- Green Energy for IoT systems
- AI-Based Green Energy for Blockchain and IoT Systems
- Computational Intelligence for Medical Internet of Things Application
- IoT Solutions for Transportation
- AI-Enabled IoT in Healthcare
- AI-Enabled Blockchain and IoT in Healthcare
- AI and IoT in Supply Chain Management and Logistics
- AI and IoT based Smart Agriculture
- The Industrial Internet of Things
- Artificial Intelligence and the Internet of Energy
- IoT and AI for Environmental Sustainability
- Smart IoT Technologies and Systems
- Implementation of Intelligent IoT
- IoT Wireless Technology
- AI and Blockchain for IoT Systems
- Mobile Applications and IoT
- Cellular Networks and IoT
- Blockchain and SDN Technologies
- Blockchain-Based Cloud Deployment Tools and Platforms
- Blockchain, IoT and AI for Environmental Sustainability
- Secure Artificial Intelligence in IoT Networks
- Intelligent Data Analytics in Emerging Systems
- Smart Transportation & Smart Vehicles using AI
- Applications of AI/IoT
- Cybersecurity Challenges for Smart Cities
Keywords:
industry, IoT, AI, Blockchain, technologies, agriculture, cybersecurity, smart cities, emerging systems, industry 2.0, supply chain, healthcare, transportation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Today, technologies like artificial intelligence (AI) and the internet of things (IoT) have established themselves as essential components of practically every industry. The range of applications for AI and IoT is as broad as the horizon and includes everything from healthcare to industry and agriculture. These technologies are currently widely employed in industrialized nations, while they are still in their infancy in emerging nations. The COVID-19 pandemic had a greater impact on these nations' economies and healthcare systems, making it more important than ever to embrace new approaches to problems with sustainable development.
Innovative artificial intelligence is added to existing blockchain technology to create smart blockchain, which gives a blockchain system high-level economy, adaptivity, and autonomy. Smart blockchain, in contrast to standard blockchain approaches, adds new features to blockchain systems using data mining, pattern recognition, machine learning, and deep learning on top of the existing blockchain technology, which has significant potential to help the current IoT systems.
The purpose of this Research Topic is to highlight blockchain, IoT, and AI-based innovations that can address the difficulties associated with sustainable development. We will shine light on a variety of industries, including those in agriculture, business, transportation, the environment, energy, and healthcare, among others. The proposed Special Issue is intended for a wide variety of writers, including academics, students, and businesses engaged in R&D.
Topics:
- Green Energy for IoT systems
- AI-Based Green Energy for Blockchain and IoT Systems
- Computational Intelligence for Medical Internet of Things Application
- IoT Solutions for Transportation
- AI-Enabled IoT in Healthcare
- AI-Enabled Blockchain and IoT in Healthcare
- AI and IoT in Supply Chain Management and Logistics
- AI and IoT based Smart Agriculture
- The Industrial Internet of Things
- Artificial Intelligence and the Internet of Energy
- IoT and AI for Environmental Sustainability
- Smart IoT Technologies and Systems
- Implementation of Intelligent IoT
- IoT Wireless Technology
- AI and Blockchain for IoT Systems
- Mobile Applications and IoT
- Cellular Networks and IoT
- Blockchain and SDN Technologies
- Blockchain-Based Cloud Deployment Tools and Platforms
- Blockchain, IoT and AI for Environmental Sustainability
- Secure Artificial Intelligence in IoT Networks
- Intelligent Data Analytics in Emerging Systems
- Smart Transportation & Smart Vehicles using AI
- Applications of AI/IoT
- Cybersecurity Challenges for Smart Cities
Keywords:
industry, IoT, AI, Blockchain, technologies, agriculture, cybersecurity, smart cities, emerging systems, industry 2.0, supply chain, healthcare, transportation
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.