Machine Learning, IoT and Artificial Intelligence for Sustainable Development
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (320 p.)Innehållstyp: - text
- computer
- online resource
- 9783036599250
- 9783036599267
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- AI for environment
- AdenoCanNet
- AdenoCanSVM
- Agriculture 4.0
- CNN
- CNN– SVM
- GA classifier
- GPS
- GSM
- Internet of Things
- IoT environment
- IoT failure causes
- SDGs
- Viola–Jones
- Western Australia
- adenocarcinoma
- agricultural residues
- artificial intelligence
- authentication protocol
- automatic recognition
- big data analytics
- biofuel classification
- cancer
- complexity
- conversation AI
- convolution neural network
- cost efficiency
- crowd management
- dataset augmentation
- deep learning
- demand-supply system
- design science research
- elliptic curve integrated encryption scheme
- energy consumption patterns
- ethics
- fall detections
- fall-detection
- feature selection
- flood modelling
- forecasting
- genetic algorithm
- green AI
- home energy management controller
- human verification
- imprinted ship characters
- integrated technologies
- layered architecture of IoT
- machine learning
- machine learning classifiers
- medical image processing
- medical imaging
- multi-criteria analysis
- optimization techniques
- particle swarm optimization
- politeness prediction
- precision agric
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Nowadays, the newest technologies, devices, and techniques related to IoT, machine learning, and artificial intelligence are constantly developing. Therefore, they have a significant impact on our sustainable lifestyle. Accordingly, the application domain of these technologies and tools involves agriculture, water management, healthcare, bioinformatics, smart grid, smart cities, security, and so on. In addition, the IoT has brought an innovative perspective that is totally distinct from the usual approaches: the former consists of a device that can communicate with the network and is capable of implementing intelligent solutions. The goal of this Special Issue is to create a common gateway between researchers, allowing them to exchange and share their results related to the application of IoT, artificial intelligence, and machine learning in various domains.
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eng
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