Dr. Viswanathan Chakravarthi - Academia.edu (original) (raw)
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Papers by Dr. Viswanathan Chakravarthi
Nucleation and Atmospheric Aerosols, 2022
AIP Conference Proceedings
EIGHTH INTERNATIONAL CONFERENCE NEW TRENDS IN THE APPLICATIONS OF DIFFERENTIAL EQUATIONS IN SCIENCES (NTADES2021), 2022
Diabetes is a highly efficient in nearly every country that affects individuals and can contribut... more Diabetes is a highly efficient in nearly every country that affects individuals and can contribute, although not anticipated in the initial stages, to serious complications such as stroke, kidney damage, or eventual death. Many departments concentrate to alleviate this by using multiple approaches to forecast diabetic at a preliminary phase. The clinical and drug tests depend on various available traditional methods for diagnosing diabetes. Health professionals therefore want an accurate diabetic forecasting model. Various data mining methods are useful for testing information from diverse sources to avoid diabetes at an effective time, and important experience is outlined. And use of optimization is suggested here The methods of designation for people with diabetes have been used, including the Random Forest, Knn and Support Vector Machine. The results revealed that the supporting method of the support vector is highly reliable. The proposed framework of these different classifiers allows one to select the best methodology for interpretation of the findings collection throughout future.
To develop the energy efficient protocol hybrid bio-inspired Ant-Cuckoo algorithm is proposed her... more To develop the energy efficient protocol hybrid bio-inspired Ant-Cuckoo algorithm is proposed here to balance the energy consumption between the nodes evenly. The clusters are formed in the network using ACO algorithm. This is done based on the distance measurement among the nodes. Once the cluster is formed then the cluster head is selected upon the node energy value. Here flexible and rigid threshold is set for processing successive rounds of transmission with the same cluster head to avoid the frequent cluster reformation. Data routing using hauler nodes are selected with the assistance of cluster heads is done by using cuckoo search algorithm. Thereby efficient routes with reliable nodes are selected for data transmission. Simulation results are shown for proving efficiency for the proposed method.
Nucleation and Atmospheric Aerosols, 2022
AIP Conference Proceedings
EIGHTH INTERNATIONAL CONFERENCE NEW TRENDS IN THE APPLICATIONS OF DIFFERENTIAL EQUATIONS IN SCIENCES (NTADES2021), 2022
Diabetes is a highly efficient in nearly every country that affects individuals and can contribut... more Diabetes is a highly efficient in nearly every country that affects individuals and can contribute, although not anticipated in the initial stages, to serious complications such as stroke, kidney damage, or eventual death. Many departments concentrate to alleviate this by using multiple approaches to forecast diabetic at a preliminary phase. The clinical and drug tests depend on various available traditional methods for diagnosing diabetes. Health professionals therefore want an accurate diabetic forecasting model. Various data mining methods are useful for testing information from diverse sources to avoid diabetes at an effective time, and important experience is outlined. And use of optimization is suggested here The methods of designation for people with diabetes have been used, including the Random Forest, Knn and Support Vector Machine. The results revealed that the supporting method of the support vector is highly reliable. The proposed framework of these different classifiers allows one to select the best methodology for interpretation of the findings collection throughout future.
To develop the energy efficient protocol hybrid bio-inspired Ant-Cuckoo algorithm is proposed her... more To develop the energy efficient protocol hybrid bio-inspired Ant-Cuckoo algorithm is proposed here to balance the energy consumption between the nodes evenly. The clusters are formed in the network using ACO algorithm. This is done based on the distance measurement among the nodes. Once the cluster is formed then the cluster head is selected upon the node energy value. Here flexible and rigid threshold is set for processing successive rounds of transmission with the same cluster head to avoid the frequent cluster reformation. Data routing using hauler nodes are selected with the assistance of cluster heads is done by using cuckoo search algorithm. Thereby efficient routes with reliable nodes are selected for data transmission. Simulation results are shown for proving efficiency for the proposed method.