Lungs nodule detection framework from computed tomography images using support vector machine

SA Khan, M Nazir, MA Khan, T Saba… - Microscopy research …, 2019 - Wiley Online Library
The emergence of cloud infrastructure has the potential to provide significant benefits in a
variety of areas in the medical imaging field. The driving force behind the extensive use of …

Developing a prediction model for customer churn from electronic banking services using data mining

A Keramati, H Ghaneei, SM Mirmohammadi - Financial Innovation, 2016 - Springer
Background Given the importance of customers as the most valuable assets of
organizations, customer retention seems to be an essential, basic requirement for any …

Assessment of China's forest fire occurrence with deep learning, geographic information and multisource data

Y Shao, Z Wang, Z Feng, L Sun, X Yang… - Journal of Forestry …, 2023 - Springer
Considerable economic losses and ecological damage can be caused by forest fires, and
compared to suppression, prevention is a much smarter strategy. Accordingly, this study …

Automated system for lung nodules classification based on wavelet feature descriptor and support vector machine

H Madero Orozco, OO Vergara Villegas… - Biomedical engineering …, 2015 - Springer
Background Lung cancer is a leading cause of death worldwide; it refers to the uncontrolled
growth of abnormal cells in the lung. A computed tomography (CT) scan of the thorax is the …

Mapping China's forest fire risks with machine learning

Y Shao, Z Feng, L Sun, X Yang, Y Li, B Xu, Y Chen - Forests, 2022 - mdpi.com
Forest fires are disasters that are common around the world. They pose an ongoing
challenge in scientific and forest management. Predicting forest fires improves the levels of …

Efficient feature selection for neural network based detection of flaws in steel welded joints using ultrasound testing

FC Cruz, EF Simas Filho, MCS Albuquerque, IC Silva… - Ultrasonics, 2017 - Elsevier
This work studies methods for efficient extraction and selection of features in the context of a
decision support system based on neural networks. The data comes from ultrasonic testing …

Spectral-spatial stacked autoencoders based on low-rank and sparse matrix decomposition for hyperspectral anomaly detection

C Zhao, L Zhang - Infrared Physics & Technology, 2018 - Elsevier
Nowadays, some algorithms based on deep learning have drawn increasing attention in
hyperspectral image (HSI) analysis. In this paper, we propose spectral-spatial stacked …

Bank note authentication using decision tree rules and machine learning techniques

C Kumar, AK Dudyala - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
Banknotes are currencies used by any nation to carry-out financial activities and are every
countries asset which every nation wants it (bank-note) to be genuine. Lot of miscreants …

Multimedia recommendation using Word2Vec-based social relationship mining

JW Baek, KY Chung - Multimedia Tools and Applications, 2021 - Springer
This study proposes the multimedia recommendation method using Word2Vec-based social
relationship mining. This is to analyze users with a similar tendency on the basis of the …

Public Perception of Online P2P Lending Applications

S Khan, R Singh, HK Baker, G Jain - Journal of Theoretical and Applied …, 2024 - mdpi.com
This study examines significant topics and customer sentiments conveyed in reviews of P2P
lending applications (apps) in India by employing topic modeling and sentiment analysis …