Results 131 to 140 of about 1,316 (199)

Exploring the potential impacts of anthropogenic heating on urban climate during heatwaves. [PDF]

Sci Rep
Khan A, Vasilakopoulou K, Santamouris M.
europepmc   +1 more source

Prioritizing urban heat adaptation infrastructure based on multiple outcomes: Comfort, health, and energy. [PDF]

Proc Natl Acad Sci U S A
Jiang T, Krayenhoff ES, Martilli A, Nazarian N, Stone B, Voogt JA.   +5 more
europepmc   +1 more source

Recent Advances in the Analysis of Functional and Structural Polymer Composites for Wind Turbines. [PDF]

Polymers (Basel)
Lagos F, Menacer B, Salas A, Narayan S, Medina C, Valle R, Garrido C, Pincheira G, Oñate A, Hunter-Alarcón R, Tuninetti V.   +10 more
europepmc   +1 more source

Application of a conceptual model to predict physical activity identity among Canadian adults. [PDF]

Br J Health Psychol
Smith MK, Lee ASY, Rhodes RE.
europepmc   +1 more source

Unmanned aerial vehicle building audit for energy modeling

LAUREA MAGISTRALEQuesta tesi investiga il potenziale dei Veicoli Aerei a Pilotaggio Remoto (UAV), comunemente noti come droni, per le ispezioni edilizie nella costruzione dei Modelli Energetici degli Edifici (BEM), motivata dall'urgente necessità di ...
PENHA de CARVALHO, LUCIANA
core  

Vehicle Aerodynamic Noise: A Systematic Review of Mechanisms, Simulation Methods, and Bio-Inspired Mitigation Strategies. [PDF]

Biomimetics (Basel)
Zou T, Fu Y, Cao P.
europepmc   +1 more source

Modularized neural network incorporating physical priors for future building energy modeling. [PDF]

Patterns (N Y)
Jiang Z, Dong B.
europepmc   +1 more source

Numerical study on fatigue failure mechanism of reinforced concrete slabs under coupled action of corrosion and cyclic loading. [PDF]

Sci Rep
Wang S, Zhao Q, Song P, Yang F.
europepmc   +1 more source

Accelerated Screening of Wheat Gluten Strength Using Dual Physicochemical Tests in Diverse Breeding Lines. [PDF]

Methods Protoc
Hadinezhad M, Frégeau-Reid J, Giles M, Ballentine J, Carkner B.   +4 more
europepmc   +1 more source

Examining the performance change of inverse surrogate models with building energy model time series data

A building Surrogate Model (SM) is a Machine Learning (ML) model trained to reproduce the outputs of a building energy model at a much smaller computational cost.
Jowett-Lockwood, Liam
core