TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

What drives MLOps adoption? An analysis using the TOE framework

SD Das, PK Bala - Journal of Decision Systems, 2024 - Taylor & Francis
MLOps is essential to streamline the machine learning (ML) development process, ensure
ML models stay operational, and provide users with the desired value. MLOps enhances the …

A systematic review of innovations for real-time image security in IoT applications using machine learning and blockchain

M Rai, S Kumar, PS Rathore - Journal of Intelligent Manufacturing, 2024 - Springer
Image security in the context of Internet of Things (IoT) has gained significant attention due
to the increasing demand for timely and effective protection against unauthorized access …

Detection of energy consumption cyber attacks on smart devices

Z Alwaisi, S Soderi, R De Nicola - International Conference on Future …, 2023 - Springer
With the rapid development of the Internet of Things (IoT) technology, intelligent systems are
increasingly finding their way into everyday life and people's homes. With the spread of …

IoT Enhancement with Automated Device Identification for Network Security

BB Sundaram, A Pandey, V Janga… - … on Trends in …, 2022 - ieeexplore.ieee.org
Even as Internet of Things (IoT) network security grows, concerns about the security of IoT
devices have arisen. Although a few companies produce IP-connected gadgets for such …

Artificial intelligence based network security system to predict the possible threats in healthcare data

TA Hailu, G Viajiprabhu, AS Endris… - … Computing and Data …, 2022 - ieeexplore.ieee.org
The world is filled with exciting technologies and ideas; scientists build machines to avoid
human intervention in completing work. It is highly challenging to complete the task without …

Machine learning and 5G network in an online education WSN using AI technology

AS Genale, BB Sundaram, A Pandey… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
The technology effect is growing by the day. Artificial Intelligence, Machine Learning, Deep
Learning, and Big Data are employed to acquire enough application feasibility to alleviate …

Big data analysis for knowledge based on machine learning using classification algorithm

AS Genale, BB Sundaram, A Pandey… - … Computing and Data …, 2022 - ieeexplore.ieee.org
From ancient days machines do obey the commands that are prepared by a human or a
user, according to the program the machine does operate in its style, and this way of …

Artificial intelligence in cloud technology and wireless network technology using health care system

V Janga, DA Wako, AS Genale… - … on Trends in …, 2022 - ieeexplore.ieee.org
In the reign of Internet Technology, Cloud Technology has emerged as one of the powerful
tools in computing with many advantages in the bag. Cloud technology is defined as online …

Optimized Monitoring and Detection of Internet of Things resources-constraints Cyber Attacks

A Waisi, Z Ali - 2023 - e-theses.imtlucca.it
This research takes place in the context of the optimized monitoring and detec-tion of
Internet of Things (IoT) resource-constraints attacks. Meanwhile, the In-ternet of Everything …