Results 191 to 200 of about 7,973 (300)
Internet of Things-Based Energy Consumption-Aware Framework Design for Smart Grid Environment. [PDF]
Çolak MA, Bayılmış C.
europepmc +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Public trust in AI-enabled telemedicine: affective, cognitive, and structural dimensions insights from multi-platform big data analytics. [PDF]
Binsar F +5 more
europepmc +1 more source
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
SLICED: A secure and adaptive cloud-iot framework for low-latency e-learning environments. [PDF]
Aswin K, Shanmugapriya N, Gopi R.
europepmc +1 more source
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
wiley +1 more source
IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]
Raju LR +5 more
europepmc +1 more source
This study develops and evaluates a solar PV‐fed electric bicycle system optimized for university campuses in Pakistan. The techno‐economic analysis demonstrates significant fuel savings, emission reductions, and sustainability benefits, promoting a cost‐effective, eco‐friendly, and renewable transportation alternative amid rising global fuel and ...
Muhammad Abdullah Khan +4 more
wiley +1 more source
Development and evaluation of an IoT-based hypertension surveillance system in community health settings: a mixed-methods quasi-experimental study protocol. [PDF]
Zheng W +7 more
europepmc +1 more source
Graph Neural Network‐Based Prediction of Building Energy Consumption
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti +4 more
wiley +1 more source

