Effects of distance measure choice on k-nearest neighbor classifier performance: a review
HA Abu Alfeilat, ABA Hassanat, O Lasassmeh… - Big data, 2019 - liebertpub.com
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …
yet its performance competes with the most complex classifiers in the literature. The core of …
Distance and similarity measures effect on the performance of K-nearest neighbor classifier--a review
VB Prasath, HAA Alfeilat, A Hassanat… - ar** forest change using stacked generalization: An ensemble approach
The ever-increasing volume and accessibility of remote sensing data has spawned many
alternative approaches for map** important environmental features and processes. For …
alternative approaches for map** important environmental features and processes. For …
Evaluation of machine learning methods for lithology classification using geophysical data
TS Bressan, MK de Souza, TJ Girelli… - Computers & Geosciences, 2020 - Elsevier
Specific computational tools assist geologists in identifying and sorting lithologies in well
surveys and reducing operational costs and practical working time. This allows for the …
surveys and reducing operational costs and practical working time. This allows for the …
Land cover map** analysis and urban growth modelling using remote sensing techniques in Greater Cairo Region—Egypt
This study modeled the urban growth in the Greater Cairo Region (GCR), one of the fastest
growing mega cities in the world, using remote sensing data and ancillary data. Three land …
growing mega cities in the world, using remote sensing data and ancillary data. Three land …
Laser ultrasonics and machine learning for automatic defect detection in metallic components
G Lv, S Guo, D Chen, H Feng, K Zhang, Y Liu… - NDT & E …, 2023 - Elsevier
This paper develops an automatic and reliable nondestructive evaluation (NDE) technique
that enables quantification of the width and depth of subsurface defects of metallic …
that enables quantification of the width and depth of subsurface defects of metallic …
Event-based filtering for time-varying nonlinear systems subject to multiple missing measurements with uncertain missing probabilities
J Hu, Z Wang, FE Alsaadi, T Hayat - Information Fusion, 2017 - Elsevier
This paper is concerned with the recursive filtering problem for a class of time-varying
nonlinear stochastic systems in the presence of event-triggered transmissions and multiple …
nonlinear stochastic systems in the presence of event-triggered transmissions and multiple …
Medical diagnosis of cardiovascular diseases using an interval-valued fuzzy rule-based classification system
Objective To develop a classifier that tackles the problem of determining the risk of a patient
of suffering from a cardiovascular disease within the next 10 years. The system has to …
of suffering from a cardiovascular disease within the next 10 years. The system has to …
Network intrusion detection system based on recursive feature addition and bigram technique
Network and Internet security is a critical universal issue. The increased rate of cyber
terrorism has put national security under risk. In addition, Internet attacks have caused …
terrorism has put national security under risk. In addition, Internet attacks have caused …