Predicting High Technology Exports of Countries for Sustainable Economic Growth by Using Machine Learning Techniques: The Case of Turkey
In this study, the estimation of high-tech exports for Turkey's foreign trade target in line with
sustainable development was carried out. The research was carried out for Turkey since it …
sustainable development was carried out. The research was carried out for Turkey since it …
[HTML][HTML] A New Approach to Assess Sustainable Corporate Reputation with Citizen Comments Using Machine Learning and Natural Language Processing
This study investigates the assessment of sustainable corporate reputation through citizen
comments and how it can be measured by sentiment analysis methods based on machine …
comments and how it can be measured by sentiment analysis methods based on machine …
Critical Drop Height Prediction of Loquat Fruit Based on Some Engineering Properties with Machine Learning Approach.
The lowest height at which a product can fall without suffering severe harm is known as the"
critical drop height" for agricultural products. It is a crucial factor to take into account for crops …
critical drop height" for agricultural products. It is a crucial factor to take into account for crops …
[HTML][HTML] Quantitative Assessment of Brix in Grafted Melon Cultivars: A Machine Learning and Regression-Based Approach
The article demonstrates the Brix content of melon fruits grafted with different varieties of
rootstock using Support Vector Regression (SVR) and Multiple Linear Regression (MLR) …
rootstock using Support Vector Regression (SVR) and Multiple Linear Regression (MLR) …
Influence of High-Voltage Corona Discharge on Drying Kinetics and Physicochemical Properties of Alfalfa at Various Air-Gap Spacings
M Guo, Y Qian, J Yuan, Z Song - Agronomy, 2024 - mdpi.com
The high nutritional value of alfalfa hay makes it a widely utilized component in animal feed.
However, the current prevalent drying methods for forage have a significantly detrimental …
However, the current prevalent drying methods for forage have a significantly detrimental …
[HTML][HTML] Deep learning-based classification of alfalfa varieties: A comparative study using a custom leaf image dataset
Deep learning has profoundly impacted agriculture by enhancing the accuracy and
efficiency of plant classification tasks. In particular, advanced models have significantly …
efficiency of plant classification tasks. In particular, advanced models have significantly …