Comparison for Image Prediction with Different Sample Count and Different Number of Epoch

Comparison for Image Prediction with Different Sample Count and Different Number of Epoch Kiran Choudhary1 and Sohit Agarwal2 1,2Suresh Gyan Vihar University, Jaipur     Abstract: Image classification is a complex process that may be affected by many factors. There are supervised and unsupervised classification techniques. The emphasis is placed on the deep neural network

Study of waste material for Sub-grade Stabilization to an improve Strength of Village Road and Protect Environment

Yusuf Ale Salam1, Prof. (Dr.) Neeraj Kumar2 PhD Research Scholar Suresh Gyan Vihar University Jaipur1, HOD ( Civil & ME)2 Yusufbagla786@gmail.com1, neeraj.kumar1@mygyanvihar.com2   Abstract The use of characteristic materials wasted to increase land ownership is profitable because they are modest, locally accessible and environmentally friendly. At this time, the analysis has balanced the impact of

Improved Prediction Technique Based on CF For Recommendation Systems

Ruchita Sharma 1*, Dr. Manish Sharma2 1M.Tech Scholar,Suresh Gyan Vihar University Jaipur, ruchita.sharma08@gmail.com 2Assistant Professor, Computer Science Department, Suresh Gyan Vihar University Jaipur, manish.sharma@mygyanvihar.com   Abstract Any web based business sites use proposal framework to prescribe things to clients. Collaborative filtering is a strategy to prescribe thing to the clients by understanding the past conduct

A Hybrid Classifier for Fast and Efficient Face Recognition Using LBP Algorithms

Nitish Rasgotra Research Scholar Center for cloud infrastructure and security Suresh Gyan Vihar University, Jaipur rnitish705@gmail.com Sohit Agarwal Assistant Professor Dept. of Computer Science Suresh Gyan Vihar University, Jaipur sohit.agarwal@mygyanvihar.com Abstract— As a biometric department, facial recognition focuses on recognizing their faces by focusing on different facial features and identifying each facial feature in their

Comparison for Image Prediction with Different Sample Count and Different Number of Epoch

Comparison for Image Prediction with Different Sample Count and Different Number of Epoch Kiran Choudhary1 and Sohit Agarwal2 1,2Suresh Gyan Vihar University, Jaipur Abstract: Image classification is a complex process that may be affected by many factors. There are supervised and unsupervised classification techniques. The emphasis is placed on the deep neural network classification approach

Development of Personalized health monitoring system using AWS and Cloud Computing

INTRODUCTION Health surveillance can be conducted in both home environments and both: [11] Low cost and delivery of citizen-centered care solutions for predetermined challenges. [9] Recent advances in sensor communication, sensor sensing and microelectronics are aimed at monitoring and managing chronic diseases and detecting potential emergencies. [10] Health surveillance in domestic settings can be carried

Cloud Computing Security Issue and Its Proposed Solution

Cloud Computing Security Issue and Its Proposed Solution Rajni Kumari , M.Tech Research Scholar ,Center of Cloud Infrastructure and Security, Suresh Gyan Vihar University , Jaipur , Rajasthan. E-mail-: rmanushendra@gmail.com Dr. Manish Sharma , HOD, Center of Cloud Infrastructure and Security, Suresh Gyan Vihar University , Jaipur , Rajasthan. E-mail-: manish.sharma@mygyanvihar.com. Dr. Rashid Hussian, Associate