Clustering-based granular representation of time series with application to collective anomaly detection
W Shi, D Karastoyanova, Y Ma… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Efficient anomaly detection is at the forefront of ensuring optimized operations and system
safety, especially in the field of engineering. It is deemed indispensable for the …
safety, especially in the field of engineering. It is deemed indispensable for the …
RF-based Energy Harvesting: Nonlinear Models, Applications and Challenges
R Jiang - arXiv preprint arXiv:2405.04976, 2024 - arxiv.org
So far, various aspects associated with wireless energy harvesting (EH) have been
investigated from diverse perspectives, including energy sources and models, usage …
investigated from diverse perspectives, including energy sources and models, usage …
D2A Performance with SSK Modulation and SWIPT in Green Smart Cities
One of the most well-known uses of smart cities has been massive multimedia offerings. But
the enormous demand for device-to-access point (D2A) communication has significantly …
the enormous demand for device-to-access point (D2A) communication has significantly …
Transmit Power Control for Secure Wireless-Powered Sensor Networks with Malicious Energy Harvester
We consider a wireless-powered sensor network (WPSN) in which multiple transmitting and
receiving node pairs communicate with each other, and the nodes not involved in the …
receiving node pairs communicate with each other, and the nodes not involved in the …
Intelligent Energy Transfer and Node Localization in the Internet of Things Using Deep Reinforcement Learning
N Vinothini, S Aishwarya, D Kiruthika… - … Conference on Energy …, 2023 - ieeexplore.ieee.org
A novel idea to address energy transfer and node localization in the Internet of Things (IoT)
using Deep Reinforcement Learning (DRL) techniques is provided in this paper. Leveraging …
using Deep Reinforcement Learning (DRL) techniques is provided in this paper. Leveraging …