Results 91 to 100 of about 296,811 (276)

Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection Techniques

Mathematics
The growing interest in solar energy stems from its potential to reduce greenhouse gas emissions. Global horizontal irradiance (GHI) is a crucial determinant of the productivity of solar photovoltaic (PV) systems.
Amir A. Imam, Abdullah Abusorrah, Mustafa M. A. Seedahmed, Mousa Marzband   +3 more
doaj   +1 more source

Investigating Sensitivity of Nonlinear Classifiers by Reducing Mean Square Error (MSE)

International Research Journal of Innovations in Engineering and Technology, 2020
Abeer A. Al-Mohdar, Ahmed A. Bahashwan
openaire   +1 more source

Machine Learning‐Assisted Design and Performance Prediction of a Compact Dual‐Band Polarization‐Insensitive THz Metamaterial Absorber for Skin‐Cancer‐Related Refractive‐Index Sensing

Advanced Electronic Materials, EarlyView.
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun, S. M. Rifatur Rana, Md. Golam Morshed, Imrose Jahan, F. A. Sabbir Ahamed, Md. Jahedul Islam   +5 more
wiley   +1 more source

Understanding Egg Price Volatility and Policy Implications in the U.S. With Machine Learning

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Eggs are an inexpensive and sustainable source of proteins, but volatility in the U.S. egg prices has intensified in recent years, raising concerns over food affordability and market stability. This study examines the drivers of U.S. egg price dynamics over 2004–2025 using a two‐stage framework that combines LASSO‐based variable selection with
Xuemei Zhao, Simon Meister, Lucie Maruejols, Xiaohua Yu   +3 more
wiley   +1 more source

Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study

Scientific Reports
An accurate energy consumption prediction becomes crucial with increasing electric vehicle usage for effective power grid management. This research examined the performance of eleven machine learning models for this purpose: Ridge Regression, Lasso ...
Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adil Noor   +4 more
doaj   +1 more source

Prediksi Jangka Panjang Solar Irradiance Pada Permukaan Pulau Jawa Menggunakan Ensemble Learning

Komputika
Energi surya menjadi solusi strategis untuk memenuhi permintaan energi di Pulau Jawa, namun pemanfaatannya terkendala oleh variabilitas radiasi matahari.
Muhammad Zulfikar, Suryani Alifah
doaj   +1 more source

Examining the Impact of Row Planting on Labor Use for Sustainable Food Production Among Maize Farmers in Rural Ghana

Agribusiness, EarlyView.
ABSTRACT Smallholder farmers are reverting to traditional production methods due to the high opportunity costs and unintended consequences of new technologies. This study focuses on row planting technology, which is labor‐intensive and slow without mechanized operations.
Emmanuel Tetteh Jumpah, Habtamu Alem, Abdulai Adams, Tomáš Ratinger, Miroslava Bavorová   +4 more
wiley   +1 more source

Enhancing Sustainability Label Effectiveness Through Logo Design Modification: An Analysis of the EU Green Leaf Logo

Agribusiness, EarlyView.
ABSTRACT Sustainability labels can help support consumers select more socially and environmentally friendly options, thereby enhancing returns for conscientious producers and promoting the transition to a more sustainable food system. However, consumer confusion regarding labels' meaning undermines their effectiveness.
Monika Hartmann, Ching‐Hua Yeh, Matthew Gorton, Barbara Tocco, Áron Török   +4 more
wiley   +1 more source

Comparison of AI Models for Predicting Shelf Life of Roasted Coffee Drink

Transactions on Informatics and Data Science
This paper explores the application of artificial intelligence (AI), specifically artificial neural networks (ANN), to predict the shelf life of roasted coffee beverages. The research focuses on two advanced AI models: a competitive neural network based
Sumit Goyal
doaj   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source