SIDDHANT PATHAK - Academia.edu (original) (raw)
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Papers by SIDDHANT PATHAK
International Dental & Medical Journal of Advanced Research - VOLUME 2015, 2015
Objectives: The objective was to present 13 mucoceles in 13 Indian children and describe their cl... more Objectives: The objective was to present 13 mucoceles in 13 Indian children and describe their clinical characteristics, etiology, site of occurrence, and treatment given. Methods: A retrospective study of 13 pediatric patients who reported the Department of Pedodontics and Preventive Dentistry, College of Dental Sciences, Davangere, India between 2012 and 2014 was carried out. The study included the clinical data like age and gender of the children, the history and chief complaints, etiology, the clinical appearance and location of mucoceles, and treatment given. Results: A total of 13 mucoceles were found in 13 patients. There was a signifi cant gender predilection (10 females, 3 males). 11 mucoceles were located in the lower lip and 2 on buccal mucosa. In majority cases, there was no defi nite cause for the occurrence. In 3 patients, history of chronic trauma from either lip or cheek biting habit was recorded and in one patient obstruction from tooth was observed. In two patients, the mucoceles were of bluish red in color and remaining cases appeared pale red in color. In two patients, the treatment done was cryosurgery, in one patient it was micro-marsupialization and in remaining 10 patients, surgical excision was carried out. Conclusions: Mucoceles when it occurs most commonly aff ects the lower lip with chronic trauma being the most common etiology. As various treatment modalities are available for the management of this lesion knowledge about this is highly essential for well-being of the child patient.
International Journal of Grid and High Performance Computing, 2020
Music genre classification has its own popularity index in the present times. Machine learning ca... more Music genre classification has its own popularity index in the present times. Machine learning can play an important role in the music streaming task. This research article proposes a machine learning based model for the classification of music genre. The evaluation of the proposed model is carried out while considering different music genres as in blues, metal, pop, country, classical, disco, jazz and hip-hop. Different audio features utilized in this study include MFCC (Mel Frequency Spectral Coefficients), Delta, Delta-Delta and temporal aspects for processing the data. The implementation of the proposed model has been done in the Python language. The results of the proposed model reveal an accuracy SVM accuracy of 95%. The proposed algorithm has been compared with existing algorithms and the proposed algorithm performs better than the existing ones in terms of accuracy.
International Dental & Medical Journal of Advanced Research - VOLUME 2015, 2015
Objectives: The objective was to present 13 mucoceles in 13 Indian children and describe their cl... more Objectives: The objective was to present 13 mucoceles in 13 Indian children and describe their clinical characteristics, etiology, site of occurrence, and treatment given. Methods: A retrospective study of 13 pediatric patients who reported the Department of Pedodontics and Preventive Dentistry, College of Dental Sciences, Davangere, India between 2012 and 2014 was carried out. The study included the clinical data like age and gender of the children, the history and chief complaints, etiology, the clinical appearance and location of mucoceles, and treatment given. Results: A total of 13 mucoceles were found in 13 patients. There was a signifi cant gender predilection (10 females, 3 males). 11 mucoceles were located in the lower lip and 2 on buccal mucosa. In majority cases, there was no defi nite cause for the occurrence. In 3 patients, history of chronic trauma from either lip or cheek biting habit was recorded and in one patient obstruction from tooth was observed. In two patients, the mucoceles were of bluish red in color and remaining cases appeared pale red in color. In two patients, the treatment done was cryosurgery, in one patient it was micro-marsupialization and in remaining 10 patients, surgical excision was carried out. Conclusions: Mucoceles when it occurs most commonly aff ects the lower lip with chronic trauma being the most common etiology. As various treatment modalities are available for the management of this lesion knowledge about this is highly essential for well-being of the child patient.
International Journal of Grid and High Performance Computing, 2020
Music genre classification has its own popularity index in the present times. Machine learning ca... more Music genre classification has its own popularity index in the present times. Machine learning can play an important role in the music streaming task. This research article proposes a machine learning based model for the classification of music genre. The evaluation of the proposed model is carried out while considering different music genres as in blues, metal, pop, country, classical, disco, jazz and hip-hop. Different audio features utilized in this study include MFCC (Mel Frequency Spectral Coefficients), Delta, Delta-Delta and temporal aspects for processing the data. The implementation of the proposed model has been done in the Python language. The results of the proposed model reveal an accuracy SVM accuracy of 95%. The proposed algorithm has been compared with existing algorithms and the proposed algorithm performs better than the existing ones in terms of accuracy.