Shriya Kaneriya

TL;DR: An architecture to track the hand movements of the patient is proposed and thread protocol and Bayesian network classifier have been included in the proposed architecture to achieve reliable communication and anomaly detection.

TL;DR: TILAA, a framework for Tactile Internet-based Ambient Assistance Living in fog environment provides a collaborative communication feedback to the patients and doctors with reduced delay and performance evaluation shows that it has superior performance for the back posture of all patients.

TL;DR: An improved safety system, with an added fog layer which takes the dynamic decision and keeps a check on the data sent on the cloud, making the use of the bandwidth very effective.

TL;DR: The simulation results prove that the time dependent load forecasting model accurately predicts the energy demand of residential and commercial sector and establishes the dependence of collective load prediction on the general weather.

TL;DR: A range specific approach to a probabilistic markov model (PMM) is adopted, which has achieved a considerable rise in accuracy in the results, along with a simplistic convenience for the user as compared to other available state-of- the-art methods.