Ülkelerin ekonomilerine, milli varlıklarına zarar verip insanların yaşamlarına sebep olan trafik kazaları, ülkelerin en büyük sorunlarından biridir. Dolayısıyla, kazaların meydana gelmesine katkıda bulunan faktörlerin araştırılması ve doğru bir kaza şiddeti tahmin modelinin geliştirilmesi kritik öneme sahiptir. Bu çalışmada, 2011-2021 yılları arasında Teksas'ın Austin, Dallas San Antonio şehirl...

Wind energy is an essential source of renewable that has gained popularity in recent years. Accurately forecasting wind production crucial for efficient management and distribution. This paper proposes a machine learning-based approach using Support Vector Regression (SVR) Random Forest (RFR) to forecast production. The proposed methodology involves data collection, preprocessing, feature selec...

Specialty coffees have a big importance in the economic scenario, and its sensory quality is appreciated by productive sector market. Researches been constantly carried out search for better blends order to add value differentiate prices according product quality. To accomplish that, new methodologies must be explored, taking into consideration factors that might particularities of each consume...