SVM and Neural Network based Diagnosis of Diabetic Retinopathy Abstract-In the first place, Diabetic retinopathy (DR) is an eye disease caused by the complication of diabetes and we should detect it early for effective treatment. As diabetes progresses, the vision of a patient may start deteriorate and lead to diabetic retinopathy. As a result, two…
SVM-based Web Content Mining with Leaf Classification Unit from DOM-tree Abstract-In order to analyze a news article dataset, we first extract important information such as title, date, and paragraph of the body. At the same time, we remove unnecessary information such as image, caption, footer, advertisement, navigation and recommended news. The problem is that the…
Switching Frequency Dynamic Control for DFIG Wind Turbine Performance Improvement around Synchronous Speed Abstract– In a doubly-fed induction generator (DFIG) wind turbine (WT), large thermal and mechanical oscillations occur around synchronous speed due to the nearly zero-frequency current circulating between rotor windings. A switching frequency dynamic control technique is proposed in this paper to overcome…
Synthetic Aperture Radar image nonlinear enhancement algorithm based on NSCT transform Abstract?AbstractDue to the imaging mechanism, Synthetic Aperture Radar (SAR) images are susceptible to speckle noise, which affects radar image interpretation. So image denoising and enhancement are important topics of improving SAR image performance. A nonlinear image enhancement algorithm based on nonsubsampled contourlet transform (NSCT)…
System to Recommend the Best Place to Live Based on Wellness State of the User Employing the Heart Rate Variability Abstract-The conditions of the environment a person lives in has a great impact on his wellness state. When buying a new house, it is important to select a place that aids in improving the wellness…
Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas Abstract– In the first place, lifestyles are a valuable model for understanding individuals? physical and mental lives, comparing social groups, and making recommendations for improving people?s lives. In addition, examine and compare lifestyle behaviors of people living in cities of…
Target-Based, Privacy Preserving, and Incremental Association Rule Mining Abstract-In the first place, consider a special case in association rule mining where mining is conducted by a third party over data located at a central location that is updated from several source locations. The data at the central location is at rest while that flowing in…
Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network Abstract? Online health communities (OHCs) constitute a useful source of information and social support for patients. American Cancer Society?s Cancer Survivor Network (CSN), a 173 000-member community, is the largest online network for cancer patients, survivors, and caregivers. A discussion thread in CSN is…
Text to Speech (Android App) Abstract-The main aim of this project is to make an android app which convert text into speech. This app will takes user input using the GUI and converts the typed text into speech. Once the mobile media volume was set, the user typed text will be readout loudly. Any length…
Text-Attentional Convolutional Neural Network for Scene Text Detection Abstract-Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to…
Texture Analysis Based Segmentation and Classification of Oral Cancer Lesions in Color Images Using ANN Abstract-Features derived from Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run-Length (GLRL) matrix are widely used for image characterization based on texture analysis. In this paper, we propose the application of suitably selected texture discriminating features for classification of…
The Bitonic Filter: Linear Filtering in an Edge-Preserving Morphological Framework Abstract? A new filter is presented which has better edge and detail preserving properties than a median, noise reduction capability similar to a Gaussian, and is applicable to many signal and noise types. It is built on a definition of signal as bitonic , i.e.,…