Results 21 to 30 of about 125,053 (147)
Dimensionality Reduction: Challenges and Solutions [PDF]
ITM Web of Conferences, 2022 The use of dimensionality reduction techniques is a keystone for analyzing and interpreting high dimensional data. These techniques gather several data features of interest, such as dynamical structure, input-output relationships, the correlation between
Ahmad Noor, Nassif Ali Bou
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IEEE Access, 2018 Mobile ad-hoc networks (MANETs) are pervasive autonomous networks that will play a vital role in future Industrial Internet-of-Things communication, where smart devices will be connected in a completely distributed manner.
Rutvij H. Jhaveri +3 more
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Classification and analysis of the MNIST dataset using PCA and SVM algorithms
Vojnotehnički Glasnik, 2023 Introduction/purpose: The utilization of machine learning methods has become indispensable in analyzing large-scale, complex data in contemporary data-driven environments, with a diverse range of applications from optimizing business operations to ...
Mokhaled N. A. Al-Hamadani
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Deteksi Dini Serangan Hama Penyakit pada Cabai Rawit Menggunakan Metode Image Recognition
JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), 2023 Tanaman cabai merupakan salah satu komoditas sayuran yang memiliki nilai ekonomi tinggi serta berpotensi untuk terus dikembangkan. Kendati demikian, produksi tanaman cabai tersebut sering mengalami hambatan, salah satunya karena serangan hama dan ...
Suci Fitri Nazila +4 more
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Peningkatan Deep Neural Network pada Kasus Prediksi Diabetes Menggunakan PSO
Techno.Com, 2023 Diabetes adalah ancaman utama bagi kesehatan penduduk dunia yang saat ini merupakan penyebab utama kematian pada penduduk dunia yang berusia kurang dari 60 tahun. Dengan menggunakan Machine Learning diharapkan mampu memprediksi diabetes.
Rusmal Firmansyah, Guruh Fajar Shidik
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Earth remote sensing imagery classification using a multi-sensor super-resolution fusion algorithm [PDF]
Компьютерная оптика, 2020 Earth remote sensing data fusion is intended to produce images of higher quality than the original ones. However, the fusion impact on further thematic processing remains an open question because fusion methods are mostly used to improve the visual data ...
A.M. Belov , A.Y. Denisova
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Artificial Intelligence Based Prediction of Seawater Level: A Case Study for Bosphorus Strait [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 Sea level prediction is an important phenomenon for making reliable oceanographic and ship traffic management decisions especially for Bosphorus Strait that has no permanent sea level measurement stations due to high cost.
Yavuz Karsavran, Tarkan Erdik
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SVM and SVM Ensembles in Breast Cancer Prediction
PLOS ONE, 2017 Breast cancer is an all too common disease in women, making how to effectively predict it an active research problem. A number of statistical and machine learning techniques have been employed to develop various breast cancer prediction models. Among them, support vector machines (SVM) have been shown to outperform many related techniques. To construct
Min-Wei Huang +4 more
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Applied Computer Systems, 2023 Due to the worldwide deficiency of medical test kits and the significant time required by radiology experts to identify the new COVID-19, it is essential to develop fast, robust, and intelligent chest X-ray (CXR) image classification system. The proposed
Rajab Maher I.
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Automated wind turbines gearbox condition monitoring: A comparative study of machine learning techniques based on vibration analysis [PDF]
FME TransactionsWind turbines play a role in the adoption of renewable energy production, but they are susceptible to shutdowns that require thorough monitoring. Gearbox failures are an issue leading to maintenance and operational downtime.
Ogaili Ahmed Ali Farhan +3 more
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