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A plethora of disorders are found in human oral mucosa. A variety and huge number of lesions and diseases in human oral mucosa have been clinically identified and classified. Most lesions have the possibility to develop into oral cancer. The initial diagnosis of oral cancer is to inspect the ocular regions carefully and register the oral cavity of the patient as true-color digital images. The decision...
Transformation of occurred rainfall into runoff generated within a catchment is a complex natural phenomenon that passes through various inter-related processes and influenced by many topographic, geographic, geologic and sociologic factors. To develop a model that can reliably imbibe the complex Rainfall-Runoff interaction, two different approaches namely, conventional regression and Artificial Neural...
Sentimental Analysis is one of the most popular technique which is widely been used in every industry. Extraction of sentiments from user's comments is used in detecting the user view for a particular company. Sentimental Analysis can help in predicting the mood of people which affects the stock prices and thus can help in prediction of actual prices. In this paper sentimental analysis is performed...
In this paper, a novel hybrid control approach has been considered which includes an artificial neural network (ANN), a zig-zag transformer and hysteresis current controllers (HCC) for a distributed static compensator (DSTATCOM). The hybrid controller is used for reduction of line current harmonics and for improvement of power factor in the system. The proposed controller pushes the source current...
Penetration of media in financial market has changed the way of doing business, media, one of the most growing medium to exchange ideas & thoughts, which plays an important role in influencing thoughts of the investors which in turn affects market transactions figures and index values. Thus machine learning and sentiment analysis can be of great help in deducing the mood and psychology of people...
Detection of cardiac abnormalities through annotation and modeling based on 3-Lead ECG data has been reported in literature very extensively. However, we realize that analysis based on 12-Lead, dimension resolved, ECG data is vital for accurate detection of critical cardiac events such as Myocardial Infarction (MI), Ischemia, Bundle Branch Blocks, Pericarditis etc. and understanding of underlying...
The prediction of biological activity of a chemical compound from its structural features plays an important role in drug design. In this paper, we discuss the quantitative structure activity relationship (QSAR) prediction models developed on a dataset of 170 HIV protease enzyme inhibitors. Various chemical descriptors that encode hydrophobic, topological, geometrical and electronic properties are...
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