J. Uthayakumar

TL;DR: Comparing the D-ACO algorithm with existing methods, the presented intelligent system outperformed the other methodologies with a significant improvisation in classification accuracy using fewer features.

TL;DR: Experimental analysis shows that the ACO-FCP ensemble model is superior and more robust than its counterparts, and this study strongly recommends that the proposed ACO -FCP model is highly competitive than traditional and other artificial intelligence techniques.

TL;DR: The proposed framework collects the patient data using the IoT devices attached to the user which will be stored in the cloud along with the related medical records from the UCI repository and employs a Deep Neural Network (DNN) classifier for the prediction of CKD and its level of severity.

TL;DR: Ant colony optimization (ACO) algorithm is employed for routing in vehicular networks over Hadoop Map Reduce standalone distributed framework and over multi-node cluster with 2, 3, 4 and 5 nodes to enhance traffic management process like planning, engineering as well as operation.

TL;DR: This article introduces a highly reliable and low-complexity image compression scheme using neighborhood correlation sequence (NCS) algorithm that increases the compression performance and decreases the energy utilization of the sensor nodes with high fidelity.