The effective use of the one-class SVM classifier for handwritten signature verification based on writer-independent parameters
The limited number of writers and genuine signatures constitutes the main problem for
designing a robust Handwritten Signature Verification System (HSVS). We propose, in this …
designing a robust Handwritten Signature Verification System (HSVS). We propose, in this …
A review of rgb image-based internet of things in smart agriculture
Agriculture is an important pillar of world development, and smart agriculture is an emerging
paradigm in current practices. RGB Images contain rich information and play an increasingly …
paradigm in current practices. RGB Images contain rich information and play an increasingly …
Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set
T Sun, J Wang, X Li, P Lv, F Liu, Y Luo, Q Gao… - Computer methods and …, 2013 - Elsevier
Lung cancer is one of the most common forms of cancer resulting in over a million deaths
per year worldwide. In this paper, the usage of support vector machine (SVM) classification …
per year worldwide. In this paper, the usage of support vector machine (SVM) classification …
Using artificial neural network to investigate physiological changes and cerium oxide nanoparticles and cadmium uptake by Brassica napus plants
Heavy metals and emerging engineered nanoparticles (ENPs) are two current
environmental concerns that have attracted considerable attention. Cerium oxide …
environmental concerns that have attracted considerable attention. Cerium oxide …
Application of artificial intelligence for the management of landfill leachate penetration into groundwater, and assessment of its environmental impacts
M Bagheri, A Bazvand, M Ehteshami - Journal of Cleaner Production, 2017 - Elsevier
The current research was an effort to simulate landfill leachate penetration into groundwater
using fuzzy logic and neural network modeling approaches. The obtained models were …
using fuzzy logic and neural network modeling approaches. The obtained models were …
Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier
The increasing requirement for Solid Waste Management (SWM) has become a significant
challenge for municipal authorities. A number of integrated systems and methods have …
challenge for municipal authorities. A number of integrated systems and methods have …
[HTML][HTML] A multimodal deep learning framework using local feature representations for face recognition
AS Al-Waisy, R Qahwaji, S Ipson… - Machine Vision and …, 2018 - Springer
The most recent face recognition systems are mainly dependent on feature representations
obtained using either local handcrafted-descriptors, such as local binary patterns (LBP), or …
obtained using either local handcrafted-descriptors, such as local binary patterns (LBP), or …
A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis
Indicator diagram plays an important role in the health monitoring and fault diagnosis of
reciprocating compressors. Different shapes of indicator diagram indicate different faults of …
reciprocating compressors. Different shapes of indicator diagram indicate different faults of …
An efficient open system for offline handwritten signature identification based on curvelet transform and one-class principal component analysis
Offline handwritten signature identification has received less attention in comparison with
the offline signature verification, despite its crucial applications such as in law-enforcements …
the offline signature verification, despite its crucial applications such as in law-enforcements …
[HTML][HTML] Computer-aided diagnosis for early-stage lung cancer based on longitudinal and balanced data
T Sun, R Zhang, J Wang, X Li, X Guo - PloS one, 2013 - journals.plos.org
Background Lung cancer is one of the most common forms of cancer resulting in over a
million deaths per year worldwide. Typically, the problem can be approached by developing …
million deaths per year worldwide. Typically, the problem can be approached by developing …