N. Ch. S. N. Iyengar

TL;DR: An automated knowledge model will be helpful to identify the proper class of severity of diabetic retinopathy images and calculate the weights which gives severity level of the patient’s eye.

TL;DR: Various performance measures of integrating the modified differential evolution algorithm with fuzzy AHP and a feed-forward neural network in the prediction of heart disease are evaluated and the prediction time of the proposed hybrid model is evaluated and has shown promising results.

Abstract: As rice is a basic grain of food consumption in India, its integrity during supply chain processes is always a major concern for the society. With the rapid growth in the internet, a lot emerging technologies have been applied in the rice supply chain system. However, all these systems being centralized creates trust problems like fraud, tampering and falsifying information. The blockchain technology which is decentralized not governed by any central authority and distributed is the solution for the problems arising in the rice supply chain system. In this paper, we will build a rice supply chain system using blockchain technology which will assure safety of rice during supply chain management processes.

TL;DR: Key techniques to reduce the energy consumption and CO2 emission that can cause severe health issues are discussed and various existing architectures related to green cloud are discussed with their pros and cons.

TL;DR: Goodput of Datacenter has been improved by detecting and mitigating the incoming traffic threats at each stage and simulation results proved that the Enhanced Entropy approach behaves better at DDoS attack prone zones.