Several machine-learning algorithms have been proposed for remote sensing image classification during the past two decades. Among these machine learning algorithms …
ID Mienye, Y Sun - IEEE Access, 2022 - ieeexplore.ieee.org
Ensemble learning techniques have achieved state-of-the-art performance in diverse machine learning applications by combining the predictions from two or more base models …
Cardiovascular diseases (CVD) are among the most common serious illnesses affecting human health. CVDs may be prevented or mitigated by early diagnosis, and this may reduce …
D Wang, S Thunéll, U Lindberg, L Jiang, J Trygg… - Journal of …, 2022 - Elsevier
Understanding the mechanisms of pollutant removal in Wastewater Treatment Plants (WWTPs) is crucial for controlling effluent quality efficiently. However, the numerous …
Class imbalance is an active research area in the machine learning community. However, existing and recent literature showed that class overlap had a higher negative impact on the …
Vibrational spectroscopy techniques, such as Fourier-transform infrared (FTIR) and Raman spectroscopy, have been successful methods for studying the interaction of light with …
The tremendously growing problem of phishing e-mail, also known as spam including spear phishing or spam borne malware, has demanded a need for reliable intelligent anti-spam e …
QF Li, ZM Song - Construction and Building Materials, 2022 - Elsevier
The compressive strength and tensile strength of high-performance concrete (HPC) are important mechanical property indexes. However, the related mechanical tests are time …
N Farnaaz, MA Jabbar - Procedia Computer Science, 2016 - Elsevier
With the growing usage of technology, intrusion detection became an emerging area of research. Intrusion Detection System (IDS) attempts to identify and notify the activities of …