An advanced deep reinforcement learning algorithm for three-layer D2D-edge-cloud computing architecture for efficient task offloading in the Internet of Things
Abstract The Internet of Things (IoTs) has transformed the digital landscape by
interconnecting billions of devices worldwide, paving the way for smart cities, homes, and …
interconnecting billions of devices worldwide, paving the way for smart cities, homes, and …
Efficient Prompting for LLM-based Generative Internet of Things
Large language models (LLMs) have demonstrated remarkable capacities on various tasks,
and integrating the capacities of LLMs into the Internet of Things (IoT) applications has …
and integrating the capacities of LLMs into the Internet of Things (IoT) applications has …
SMART: Scene-motion-aware human action recognition framework for mental disorder group
Patients with mental disorders often exhibit risky abnormal actions, such as climbing walls or
hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with …
hitting windows, necessitating intelligent video behavior monitoring for smart healthcare with …
Securing the Internet of Things: A Comprehensive Review of Security Challenges and Artificial Intelligence Solutions
One of the major needs and challenges of this century is the use of cutting-edge technology
considering the industry 4.0 revolution. The Internet of Things (IoT) falls in the category of a …
considering the industry 4.0 revolution. The Internet of Things (IoT) falls in the category of a …
Security Risk Assessment for the Internet of Medical Things-A Structured Literature Review
S Gumina, J Gerdes - 2024 - aisel.aisnet.org
Abstract The Internet of Medical Things (IoMT) is a complex system of networked medical
devices, traditional Information Technology (IT) systems, regulations, applications, and …
devices, traditional Information Technology (IT) systems, regulations, applications, and …