Results 111 to 120 of about 42,250 (218)
Parameter investigation for urban surface‐energy balance: A large‐eddy simulation study
Quarterly Journal of the Royal Meteorological Society, EarlyView.Large eddy simulation modelling is used to investigate the variation in surface‐energy balance (SEB) across an ensemble of morphometrically identical urban geometries. The geometries have the same plan‐area fraction, vegetated fraction, and frontal‐area index, but are unique in terms of building and green‐space layout.
Christopher E. Wilson +4 more
wiley +1 more source
Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations
Quality and Reliability Engineering International, EarlyView.ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim +3 more
wiley +1 more source
IS THE BOX-COX TRANSFORMATION NEEDED IN MODELING TELKOM’S STOCK PRICE USING NNAR AND DESH METHODS?
Media StatistikaAccurate stock price forecasting requires appropriate preprocessing, particularly for time series data with high variability and nonlinear patterns.
Michela Sheryl Noven +2 more
doaj +1 more source
Sustainable Development, EarlyView.ABSTRACT Amid the quest for sustainable agriculture, this study explores key ecological and technological factors influencing crop production under climate change. We conduct a comprehensive assessment of temperature, biomass, farmer education, renewable energy devices, greenhouse gas emissions and their effects on rice yields in Granma, Cuba, from ...
Afzal Ahmed Dar +6 more
wiley +1 more source
A hybrid deep learning and tree based approach to forecast AQI in indoor environments
Environmental Research CommunicationsThe attendance, well-being and comfort of students is directly affected by the air quality in the classroom. Additionally, the performance of teachers and staff is also impacted by it.
Anurag Barthwal, Shwetank Avikal
doaj +1 more source
How wrong were we? The accuracy of the Fraser of Allander Institute's forecasts of the Scottish economy since 2000 [PDF]
, 2011 The Fraser of Allander Institute regularly forecasts the annual growth of the Scottish economy. This paper measures the accuracy of these forecasts. It contrasts official measures of the growth performance of the Scottish economy and FAI forecasts for ...
Allan, Grant
core
Sustainable Development, EarlyView.ABSTRACT Geopolitical conflicts are increasingly threatening global food security, economic stability, and peace, impacting Tanzania's tea agrifood system. This study develops a quantitative Resource Nexus‐based system dynamics simulation model assessing the feedbacks and interdependencies among key environmental and socioeconomic resources shaping ...
Ally Mkumbukiy +3 more
wiley +1 more source
Structural Concrete, EarlyView.Abstract Lightweight strain‐hardening ultra‐high‐performance concrete composite (SH‐UHPC) is an outstanding alternative for engineering applications and infrastructure thanks to its outstanding strength, toughness, ductility, and low density. The integration of artificial intelligence (AI)‐based modeling strategies into engineering problems can ...
Metin Katlav, Kazim Turk
wiley +1 more source
PENERAPAN PERAMALAN PENJUALAN (SALES FORECAST) TAS RANSEL (CARRIER) SERI EIGER CLASSIC DYNO 75L SEBAGAI DASAR PENYUSUNAN PERENCANAAN PRODUKSI PADA PT. EIGERINDO MULTI PRODUK INDUSTRI [PDF]
, 2018 ABSTRAK Penelitian ini bertujuan untuk membandingkan peramalan penjualan, dan perencanaan produksi versi perusahaan dengan versi metode – metode yang digunakan secara kuantitatif. PT.
Pembimbing I, Wasito., SE.,MSIE +1 more
core
Explainable spatial machine learning for hedonic real estate modeling
Real Estate Economics, EarlyView.Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source