Multimodal detection of concealed information using Genetic-SVM classifier with strict validation structure
نویسندگان
چکیده
منابع مشابه
MRI Brain Tumor Segmentation Using Genetic Algorithm With SVM Classifier
In medical image processing, fully automatic brain tumor segmentation has a vital role in segmenting brain image more accurately and precisely. Segmentation is the process to accomplish these tasks by dividing an image into meaningful parts which share similar properties. Magnetic Resonance Imaging (MRI) is a primary diagnostic technique to do image segmentation. It is challenging due to poor c...
متن کاملEpileptic Seizure Detection in EEG signals Using TQWT and SVM-GOA Classifier
Background: Epilepsy is a Brain disorder disease that affects people's quality of life. If it is diagnosed at an early stage, it will not be spread. Electroencephalography (EEG) signals are used to diagnose epileptic seizures. However, this screening system cannot diagnose epileptic seizure states precisely. Nevertheless, with the help of computer-aided diagnosis systems (CADS), neurologists ca...
متن کاملAnomaly Detection Using SVM as Classifier and Decision Tree for Optimizing Feature Vectors
Abstract- With the advancement and development of computer network technologies, the way for intruders has become smoother; therefore, to detect threats and attacks, the importance of intrusion detection systems (IDS) as one of the key elements of security is increasing. One of the challenges of intrusion detection systems is managing of the large amount of network traffic features. Removing un...
متن کاملEarly Detection of Breast Cancer using SVM Classifier Technique
This paper presents a tumor detection algorithm from mammogram. The proposed system focuses on the solution of two problems. One is how to detect tumors as suspicious regions with a very weak contrast to their background and another is how to extract features which categorize tumors. The tumor detection method follows the scheme of (a) mammogram enhancement. (b) The segmentation of the tumor ar...
متن کاملFault Detection of Bearings Using a Rule-based Classifier Ensemble and Genetic Algorithm
This paper proposes a reduct construction method based on discernibility matrix simplification. The method works with genetic algorithm. To identify potential problems and prevent complete failure of bearings, a new method based on rule-based classifier ensemble is presented. Genetic algorithm is used for feature reduction. The generated rules of the reducts are used to build the candidate base...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Informatics in Medicine Unlocked
سال: 2017
ISSN: 2352-9148
DOI: 10.1016/j.imu.2017.05.004