7   Artículos

 
en línea
Shilpa Gite, Shruti Patil, Deepak Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran and Ketan Kotecha    
Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Smita Khairnar, Shilpa Gite, Ketan Kotecha and Sudeep D. Thepade    
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats. Many researchers focus on face liveness detection to pr... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Pooja Bidwai, Shilpa Gite, Kishore Pahuja and Ketan Kotecha    
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels and has become the most common cause of vision loss worldwide. It has become a severe problem among the working-age group that needs to be solved early to avoid visi... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Smita Khade, Shilpa Gite and Biswajeet Pradhan    
In the recent decade, comprehensive research has been carried out in terms of promising biometrics modalities regarding humans? physical features for person recognition. This work focuses on iris characteristics and traits for person identification and i... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Sampada Tavse, Vijayakumar Varadarajan, Mrinal Bachute, Shilpa Gite and Ketan Kotecha    
With the advances in brain imaging, magnetic resonance imaging (MRI) is evolving as a popular radiological tool in clinical diagnosis. Deep learning (DL) methods can detect abnormalities in brain images without an extensive manual feature extraction proc... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sumit Salunkhe, Mrinal Bachute, Shilpa Gite, Nishad Vyas, Saanil Khanna, Keta Modi, Chinmay Katpatal and Ketan Kotecha    
Alzheimer?s disease (AD) has been studied extensively to understand the nature of this complex disease and address the many research gaps concerning prognosis and diagnosis. Several studies based on structural and textural characteristics have already be... ver más
Revista: Applied System Innovation    Formato: Electrónico

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