Results 171 to 180 of about 7,219 (260)

Low‐Dimensional Materials and Van Der Waals Heterostructures for Energy Application: A Comprehensive Review

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Low‐dimensional materials (0D, 1D, and 2D) exhibit unique electronic and physicochemical properties, enabling advanced nanoelectronic and optoelectronic devices. Mixed‐dimensional heterostructures combine these materials to enhance functionality.
Qaisar Alam   +3 more
wiley   +1 more source

A Blockchain-Enhanced Neural Network Framework for secure e-waste forecasting in smart cities. [PDF]

open access: yesFront Public Health
Facuy J   +5 more
europepmc   +1 more source

Public Opinion About Community Participation in Natural Resources Governance: A Population Survey in Indonesia and Malaysia

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT The international conservation and natural resources communities have increasingly embraced the principle of community participation. This rhetoric around participation has gained power and influence in setting countries' agendas for natural resources governance, largely without a sound understanding of public opinion on the issues.
Rachel S. Friedman   +3 more
wiley   +1 more source

Bibliometric Analysis of Islamic Crowdfunding: A Literature Review of Its Journey. [PDF]

open access: yesF1000Res
Purwatiningsih A   +5 more
europepmc   +1 more source

Water Governance Under International Pressure: Policy Narratives, Food Security, Scarcity, and the Politics of Survival in Iran

open access: yesEnvironmental Policy and Governance, EarlyView.
ABSTRACT Water governance is increasingly influenced by a paradox at the nexus of environmental scarcity and food security. Escalating water scarcity crises coincide with geopolitical disruptions that have exposed the fragility of global food supply chains, prompting states to expand domestic food production at the expense of water conservation ...
Alireza Raisi
wiley   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

open access: yesEnergy 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   +4 more
wiley   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

open access: yesEnergy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem   +3 more
wiley   +1 more source

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