Orchestrating the development lifecycle of machine learning-based IoT applications: A taxonomy and survey
Machine Learning (ML) and Internet of Things (IoT) are complementary advances: ML
techniques unlock the potential of IoT with intelligence, and IoT applications increasingly …
techniques unlock the potential of IoT with intelligence, and IoT applications increasingly …
Machine learning and internet of things applications in enterprise architectures: Solutions, challenges, and open issues
The rapid growth of the Internet of Things (IoT) has led to its widespread adoption in various
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
industries, enabling enhanced productivity and efficient services. Integrating IoT systems …
IoT data analytics in dynamic environments: From an automated machine learning perspective
With the wide spread of sensors and smart devices in recent years, the data generation
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
speed of the Internet of Things (IoT) systems has increased dramatically. In IoT systems …
Machine learning-enabled internet of things (iot): Data, applications, and industry perspective
J Bzai, F Alam, A Dhafer, M Bojović, SM Altowaijri… - Electronics, 2022 - mdpi.com
Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …
[图书][B] Hands-On Artificial Intelligence for IoT: Expert machine learning and deep learning techniques for developing smarter IoT systems
A Kapoor - 2019 - books.google.com
Build smarter systems by combining artificial intelligence and the Internet of Things—two of
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
the most talked about topics today Key FeaturesLeverage the power of Python libraries such …
Machine learning and data analytics for the IoT
Abstract The Internet of Things (IoT) applications have grown in exorbitant numbers,
generating a large amount of data required for intelligent data processing. However, the …
generating a large amount of data required for intelligent data processing. However, the …
A survey on machine learning in Internet of Things: Algorithms, strategies, and applications
In the IoT and WSN era, large number of connected objects and sensing devices are
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
dedicated to collect, transfer, and generate a huge amount of data for a wide variety of fields …
Software engineering for internet of things: The practitioners' perspective
Internet of Things based systems (IoT systems for short) are becoming increasingly popular
across different industrial domains and their development is rapidly increasing to provide …
across different industrial domains and their development is rapidly increasing to provide …
From cloud down to things: An overview of machine learning in internet of things
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …
meet the requirement of all IoT applications. The limited computation and communication …
Train++: An incremental ml model training algorithm to create self-learning iot devices
The majority of Internet of Things (IoT) devices are tiny embedded systems with a micro-
controller unit (MCU) as its brain. The memory footprint (SRAM, Flash, and EEPROM) of …
controller unit (MCU) as its brain. The memory footprint (SRAM, Flash, and EEPROM) of …