Results 1 to 10 of about 2,614,519 (287)
A Triangular Grid Filter Method Based on the Slope Filter
Remote Sensing, 2023 High-precision ground point cloud data has a wide range of applications in various fields, and the separation of ground points from non-ground points is a crucial preprocessing step.
Chuanli Kang +5 more
doaj +2 more sources
Sensors, 2021 High-resolution synthetic aperture radar (SAR) images are mostly used in the current field of ship classification, but in practical applications, moderate-resolution SAR images that can offer wider swath are more suitable for maritime surveillance.
Gaoyu Zhou, Gong Zhang, Biao Xue
doaj +1 more source
A Tri-Stage Wrapper-Filter Feature Selection Framework for Disease Classification
Sensors, 2021 In machine learning and data science, feature selection is considered as a crucial step of data preprocessing. When we directly apply the raw data for classification or clustering purposes, sometimes we observe that the learning algorithms do not perform
Moumita Mandal +4 more
doaj +1 more source
Computer Assisted Methods in Engineering and Science, 2021 In recent years, solar energy forecasting has been increasingly embraced as a sustainable low-energy solution to environmental awareness. It is a subject of interest to the scientific community, and machine learning techniques have proven to be a ...
Saloua El Motaki, Abdelhak El Fengour
doaj +1 more source
A filter-based feature selection approach in multilabel classification
Machine Learning: Science and Technology, 2023 Multi-label classification is a fast-growing field of machine learning. Recent developments have shown several applications, including social media, healthcare, bio-molecular analysis, scene, and music classification associated with the multilabel ...
Rafia Shaikh +4 more
doaj +1 more source
A Filter-SQP strategy for training Support Vector Machine models
REMAT, 2023 This paper introduces a filtering strategy for addressing optimization problems arising in binary Support Vector Machine classification. The training optimization problem aims to solve the dual formulation which involves a quadratic objective function ...
Tiago Lino Bello +3 more
doaj +1 more source
A new approach for SPN removal: nearest value based mean filter [PDF]
PeerJ Computer Science, 2022 In this study, a new adaptive filter is proposed to eliminate salt and pepper noise (SPN). The basis of the proposed method consists of two-stages. (1) Changing the noisy pixel value with the closest pixel value or assigning their average to the noisy ...
Bülent Turan
doaj +2 more sources
Filtering in Legendre spectral methods [PDF]
Mathematics of Computation, 2008 Summary: We discuss the impact of modal filtering in Legendre spectral methods, both on accuracy and stability. For the former, we derive sufficient conditions on the filter to recover high order accuracy away from points of discontinuity. Computational results confirm that less strict necessary conditions appear to be adequate. We proceed to discuss a
Jan S. Hesthaven, Robert M. Kirby
openaire +2 more sources
A Gene Selection Approach based on Clustering for Classification Tasks in Colon Cancer
Advances in Distributed Computing and Artificial Intelligence Journal, 2016 Gene selection (GS) is an important research area in the analysis of DNA-microarray data, since it involves gene discovery meaningful for a particular target annotation or able to discriminate expression profiles of samples coming from different ...
José Antonio CASTELLANOS GARZÓN +1 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 For improved positioning in urban canyons, this study proposes an efficient dual‐filter method integrating multi‐constellation global navigation satellite system (GNSS), an inertial navigation system (INS), a barometric altimeter and an on‐board ...
Lawoo Kim, Yudam Lee, Hyung Keun Lee
doaj +1 more source