Securing the Internet of Things in Artificial Intelligence Era: A Comprehensive Survey
The Internet of Things (IoT) has revolutionized various domains, enabling interconnected
devices to communicate and exchange data. The integration of Artificial Intelligence (AI) in …
devices to communicate and exchange data. The integration of Artificial Intelligence (AI) in …
A comprehensive review of energy efficient routing protocols for query driven wireless sensor networks
In this current era of communications and networking, The Internet of things plays the main
role in the making of smart communication and networking. In this article, we have focused …
role in the making of smart communication and networking. In this article, we have focused …
[PDF][PDF] Consideration of web technology and cloud computing inspiration for AI and IoT role in sustainable decision-making for enterprise systems
SI Ali, DM Abdulqader, OM Ahmed… - Journal of Information …, 2024 - researchgate.net
There are five main levels that make up the architecture of the IoT. These layers include the
perception layer, the network layer, the middleware layer, the application layer, and the …
perception layer, the network layer, the middleware layer, the application layer, and the …
Transforming Agriculture with Advanced Robotic Decision Systems via Deep Recurrent Learning
F Hu, F Wu, H Gu, G Abbas, MD Alanazi… - Expert Systems with …, 2025 - Elsevier
Global farming methods have improved owing to supply demand, human resource
shortages, and seasonal fluctuations. Integrating automated mechanics, smart controllers …
shortages, and seasonal fluctuations. Integrating automated mechanics, smart controllers …
SXAD: Shapely eXplainable AI-Based Anomaly Detection Using Log Data
Artificial Intelligence (AI) has made tremendous progress in anomaly detection. However, AI
models work as a black-box, making it challenging to provide reasoning behind their …
models work as a black-box, making it challenging to provide reasoning behind their …
[HTML][HTML] FL-DSFA: Securing RPL-Based IoT Networks against Selective Forwarding Attacks Using Federated Learning
The Internet of Things (IoT) is a significant technological advancement that allows for
seamless device integration and data flow. The development of the IoT has led to the …
seamless device integration and data flow. The development of the IoT has led to the …
An integrated model for evaluating the risk factors of crypto-currencies under fuzzy environment
While blockchain technology and cryptocurrencies offer numerous advantages and
innovations, it is essential to be aware that their implementation processes are fraught with a …
innovations, it is essential to be aware that their implementation processes are fraught with a …
Transforming Lung Disease Diagnosis With Transfer Learning Using Chest X‐Ray Images on Cloud Computing
In the context of Cloud and Fog computing settings, recent developments in deep learning
techniques show great potential for changing several fields, including healthcare. In this …
techniques show great potential for changing several fields, including healthcare. In this …
Cost‐Effective and Fully Hardware‐Oriented Reservoir Computing Based on IGZO/HZO Ferroelectric Thin‐Film Transistor with Electrically and Optically …
Hardware‐based reservoir computing (RC) systems provide benefits like energy efficiency
and effective predictability. The implementation of different switching characteristics for the …
and effective predictability. The implementation of different switching characteristics for the …
[HTML][HTML] Decentralized Machine Learning Framework for the Internet of Things: Enhancing Security, Privacy, and Efficiency in Cloud-Integrated Environments
The Internet of things (IoT) presents unique challenges for the deployment of machine
learning (ML) models, particularly due to constraints on computational resources, the …
learning (ML) models, particularly due to constraints on computational resources, the …