Results 171 to 180 of about 2,052 (264)

Distinguishing a Drone from Birds Based on Trajectory Movement and Deep Learning. [PDF]

Sensors (Basel)
Nesteruk A, Nikitin V, Albrekht Y, Ścisło Ł, Grela D, Król P.   +5 more
europepmc   +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

SimTac: A Physics-Based Simulator for Vision-Based Tactile Sensing with Biomorphic Structures. [PDF]

Cyborg Bionic Syst
Zhang X, Jiang J, Chen Z, Zhao Y, Yang T, Gomes DF, Wang J, Luo S.   +7 more
europepmc   +1 more source

A Rapid Post‐Disaster Restoration Method for Networked Microgrids Based on Adaptive Quantum Particle Swarm Optimization

Energy Science &Engineering, EarlyView.
To enhance the power restoration speed of networked microgrids (NMGs) after extreme natural disasters and reduce the power outage of the system, this paper proposes a rapid post‐disaster restoration method for NMGs based co‐optimization of fault repair and load restoration.
Yunfan Zhang, Qiang Li, Jun Zhang, Chaohuang Xu   +3 more
wiley   +1 more source

Simplified radar architecture based on information metasurface. [PDF]

Nat Commun
Wang SR, Chen ZY, Chen SN, Dai JY, Zhang JW, Qi ZJ, Wu LJ, Sun MK, Zhou QY, Li HD, Luo ZJ, Cheng Q, Cui TJ.   +12 more
europepmc   +1 more source

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Kilometer-scale convection-allowing model emulation using generative diffusion modeling. [PDF]

Sci Adv
Pathak J, Cohen Y, Garg P, Harrington P, Brenowitz N, Durran D, Mardani M, Vahdat A, Xu S, Kashinath K, Pritchard M.   +10 more
europepmc   +1 more source

Stability Evaluation and Parametric Optimization of Coal‐Concrete Composite Bearing Systems Under Mine‐Water‐Induced Deterioration: Experiments and FEINN Analysis

Energy Science &Engineering, EarlyView.
Mine‐water immersion tests reveal pronounced coal weakening (vs. minor concrete degradation), identifying coal pillars as the stability‐limiting component in composite dams. A coupled FEINN framework quantifies extreme‐pressure stability and ranks multi‐parameter designs via a normalized multi‐indicator scheme, enabling optimized dam configuration for ...
He Wen, Hongchuan Dai, Guixin Zhang, Pengzhe Li, Tong Yang, Cang Gong, Renbo Gao   +6 more
wiley   +1 more source

Bioinspired Regenerative Lignification Enables Ultra‐Hard and Sustainable Bamboo Structural Materials

Exploration, EarlyView.
Developing strong and sustainable materials is essential for reducing reliance on metals and lowering carbon emissions. Inspired by how plants naturally harden their cell walls, we created a rapid process that transforms bamboo into an ultra‐hard structural material by rebuilding lignin‐like networks within its structure.
Jian Gan, Shaodi Zhang, Yuxiang Huang, Wenji Yu   +3 more
wiley   +1 more source

TEvarSim: A genome simulator for transposable element (TE) variants. [PDF]

PLoS Comput Biol
Miao J, Li D.
europepmc   +1 more source