Sea-surface small floating target recurrence plots FAC classification based on CNN
Y Shi, Y Guo, T Yao, Z Liu - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
In this article, we propose the false-alarm-rate-controllable (FAC) classification of sea clutter
recurrence plots (RPs) based on convolutional neural networks (CNNs), which is shortened …
recurrence plots (RPs) based on convolutional neural networks (CNNs), which is shortened …
Forecasting the Olympic medal distribution–a socioeconomic machine learning model
Forecasting the number of Olympic medals for each nation is highly relevant for different
stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and …
stakeholders: Ex ante, sports betting companies can determine the odds while sponsors and …
[HTML][HTML] Seleksi Fitur pada Supervised Learning: Klasifikasi Prestasi Belajar Mahasiswa Saat dan Pasca Pandemi COVID-19
Dampak pandemi COVID-19 membuat lembaga pendidikan mengubah metode belajar
menjadi pembelajaran jarak jauh secara daring. Banyak perguruan tinggi menyatakan …
menjadi pembelajaran jarak jauh secara daring. Banyak perguruan tinggi menyatakan …
[PDF][PDF] A comparative analysis using different machine learning: an efficient approach for measuring accuracy of face recognition
MS Faridi, MA Zia, Z Javed, I Mumtaz, S Ali - International Journal of Machine …, 2021 - ijml.org
Feature extracting and training module can be done by using face recognition neural
learning techniques. Moreover, these techniques are widely employed to extract features …
learning techniques. Moreover, these techniques are widely employed to extract features …
Hotspot Classification for Forest Fire Prediction using C5. 0 Algorithm
Forest and land fires impact the destruction of ecosystems and destroy flora and fauna.
Forest fires haze can also disrupt the transportation sector, especially aviation …
Forest fires haze can also disrupt the transportation sector, especially aviation …
Klasifikasi Rumah Tangga Penerima Beras Miskin (Raskin)/Beras Sejahtera (Rastra) di Provinsi Jawa Barat Tahun 2017 dengan Metode Random Forest dan Support …
Q Iman, AW Wijayanto - JUSTIN (Jurnal Sistem dan Teknologi …, 2021 - jurnal.untan.ac.id
Classification of cucumber leaf diseases on images using innovative ensembles of deep neural networks
Plant diseases are a major concern for farmers worldwide as they can cause significant
economic losses. Among vegetable crops, cucumber is particularly susceptible to various …
economic losses. Among vegetable crops, cucumber is particularly susceptible to various …
[HTML][HTML] A Methodology Based on Deep Learning for Contact Detection in Radar Images
Ship detection, a crucial task, relies on the traditional CFAR (Constant False Alarm Rate)
algorithm. However, this algorithm is not without its limitations. Noise and clutter in radar …
algorithm. However, this algorithm is not without its limitations. Noise and clutter in radar …
[PDF][PDF] Face recognition comparative analysis using different machine learning approaches
N Ahmed, FA Khan, Z Ullah, H Ahmed… - Advances in Science …, 2021 - bibliotekanauki.pl
The problem of a facial biometrics system was discussed in this research, in which different
classifiers were used within the framework of face recognition. Different similarity measures …
classifiers were used within the framework of face recognition. Different similarity measures …
Effect of ensembling over k-fold cross-validation with weighted k-nearest neighbour for classification in medical domain
Medical data classification is of great significance for medical information practices. K-
Nearest Neighbors classifier is a frequently applied simple algorithm to enhance accuracy …
Nearest Neighbors classifier is a frequently applied simple algorithm to enhance accuracy …