Results 111 to 120 of about 18,832 (283)

Enhance photocatalytic CO 2 reduction and biomass selective oxidation via sulfur vacancy-enriched S-scheme heterojunction of MoS 2 @GCN

Photocatalytic CO2 reduction and biomass selective oxidation have considerable practical implications in addressing environmental challenges. However, developing efficient photocatalyst is the key to realize the mass-market applications.
Hong, Min, Ma, Jiliang, Sun, Runcang, Ling, Weikang   +3 more
core   +1 more source

Nanophotonic Biosensors and the Paradigm of Trans‐Scale Autonomous Bio‐Integrated Diagnostics for Addressing Health Complexities

Electron, EarlyView.
Physics‐driven advances in optical nanobiosensors for rapid, miniaturized, and point‐of‐care diagnostics for next‐generation decentralized and personalized healthcare based on sensor intelligence. ABSTRACT Public health emergencies and the escalating burden of chronic diseases necessitate a paradigm shift from centralized laboratory testing to rapid ...
Vishal Chaudhary, Harsh Sable, Sonu Sonu, Lakshita Phor, Reddicherla Umapathi, Pradeep Bhadola   +5 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei, Mojtaba Mirhosseini, Alireza Zahedi   +2 more
wiley   +1 more source

α-Fe2O3/g-C3N4 nanocomposite with type II heterojunction for methylene blue photodegradation

Chemical Physics Impact
Recently, the widespread use of industrial dyes, such as methylene blue, is raising concerns about organic pollutants. These compounds can persist in the environment, contaminating water sources and harming aquatic ecosystems.
Soufiane Hmamouchi, Ahmed El Yacoubi, Mounir El Hezzat, Brahim Sallek, Brahim Chafik El Idrissi   +4 more
doaj   +1 more source

Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting

Energy Science &Engineering, EarlyView.
ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che, Bo Wang, Keru Chen, Siqi Yan, Fei Qi   +4 more
wiley   +1 more source

Advanced series decomposition with a gated recurrent unit and graph convolutional neural network for non-stationary data patterns

Journal of Cloud Computing: Advances, Systems and Applications
In this study, we present the EEG-GCN, a novel hybrid model for the prediction of time series data, adept at addressing the inherent challenges posed by the data's complex, non-linear, and periodic nature, as well as the noise that frequently accompanies
Huimin Han, Harold Neira-Molina, Asad Khan, Meie Fang, Haitham A. Mahmoud, Emad Mahrous Awwad, Bilal Ahmed, Yazeed Yasin Ghadi   +7 more
doaj   +1 more source

Stability and Generalization of lp-Regularized Stochastic Learning for GCN

, 2023
Graph convolutional networks (GCN) are viewed as one of the most popular representations among the variants of graph neural networks over graph data and have shown powerful performance in empirical experiments.
Wei, Linsen, Li, Ming, Lv, Shaogao, Liu, Shiyu   +3 more
core  

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
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, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Engineered bacterial cellulose-based Ag nanoparticles/g-C3N4/Eucalyptus extract nanocomposites for wound dressing: In vitro evaluation

European Journal of Medicinal Chemistry Reports
In recent years, antibacterial wound dressings have gained considerable attention. Bacterial cellulose (BC) has received significant interest due to its unique physiochemical characteristics such as biocompatibility, high porosity, superior mechanical ...
Maral Sorourian, Mehrab Pourmadadi, Fatemeh Yazdian, Hamid Rashedi, Mona Navaei Nigjeh, Ghazal Sorourian, Abbas Rahdar, Sadanand Pandey   +7 more
doaj   +1 more source

Input data for GCN.

Graph neural networks (GNNs), with their ability to incorporate node features into graph learning, have achieved impressive performance in many graph analysis tasks.
Han Zhang (110653), Qingju Jiao (13272231), Jingwen Wu (80821), Nan Wang (21935), Guoying Liu (28996), Yongge Liu (3798460)   +5 more
core   +1 more source