Results 11 to 20 of about 106,821 (289)
Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 In this research, a group of gray texture images of the Brodatz database was studied by building the features database of the images using the gray level co-occurrence matrix (GLCM), where the distance between the pixels was one unit and for four angles (
Haider S. Kaduhm +1 more
doaj +1 more source
Bootstrap Assessment of Crop Area Estimates Using Satellite Pixels Counting
Stats, 2022 Crop area estimates based on counting pixels over classified satellite images are a promising application of remote sensing to agriculture. However, such area estimates are biased, and their variance is a function of the error rates of the classification
Cristiano Ferraz +3 more
doaj +1 more source
Egyptian Journal of Remote Sensing and Space Sciences, 2022 Rice is one of the most important food staples in many countries, particularly Iran. Because irrigated rice production differs from other agricultural fields, this study developed a paddy field mapping model based on phenological aspects, various ...
Amir Hedayati +2 more
doaj +1 more source
, 2022 a) MobileNet’s confusion matrix b) MobileNet’s normalized confusion matrix c) Optimized custom CNN’s confusion matrix d) Optimized custom CNN’s normalized confusion matrix.
Diego Benítez (549852) +5 more
core +1 more source
IOT BASED ENVIRONMENT COMFORT LEVEL PREDICTION MODEL USING ENSEMBLE LEARNING
ICTACT Journal on Soft Computing, 2021 Predicting indoor environment comfort through machine learning algorithm is considered as an important research topic nowadays. People spend most of the time inside the building by doing some kitchen work, reading, watching TV, work in office building ...
R Vijayalakshmi, L Jayasimman
doaj +1 more source
A Confusion Matrix for Evaluating Feature Attribution Methods
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 The increasing use of deep learning models in critical areas of computer vision and the consequent need for insights into model behaviour have led to the development of numerous feature attribution methods. However, these attributions must be both meaningful and plausible to end-users, which is not always the case.
Anna Arias-Duart +3 more
openaire +3 more sources