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Machine Learning, IoT and Artificial Intelligence for Sustainable Development

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 agr...

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Format: Online
Sprog:engelsk
Udgivet: MDPI - Multidisciplinary Digital Publishing Institute 2024
Fag:
optimization techniques
demand-supply system
energy consumption patterns
genetic algorithm
particle swarm optimization
wind driven optimization
home energy management controller
cancer
adenocarcinoma
convolution neural network
CNN
transfer learning
CNN– SVM
medical image processing
deep learning
artificial intelligence
smart cancer diagnosis
AdenoCanNet
AdenoCanSVM
fall detections
fall-detection
cost efficiency
machine learning
multi-criteria analysis
flood modelling
stormwater management system
Western Australia
authentication protocol
wireless sensor network
Internet of Things
privacy-preserving
provably secure
medical imaging
security
design science research
GSM
GPS
elliptic curve integrated encryption scheme
Agriculture 4.0
precision agriculture
privacy
smart farming
sustainable energy
solar radiation
times series
feature selection
forecasting
politeness prediction
conversation AI
agricultural residues
biofuel classification
solid fuel
sailfish optimizer
IoT environment
smart cities
imprinted ship characters
automatic recognition
recognition accuracy
dataset augmentation
machine learning classifiers
crowd management
human verification
big data analytics
GA classifier
Viola–Jones
IoT failure causes
layered architecture of IoT
quality assurance
testing framework
traffic simulation
integrated technologies
sustainable AI
AI for environment
green AI
complexity
SDGs
ethics
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Online adgang:ONIX_20240514_9783036599267_23
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