Medical diagnosis of cerebral palsy rehabilitation using eye images in machine learning techniques

P Illavarason, J Arokia Renjit… - Journal of medical systems, 2019 - Springer
Cerebral Palsy (CP) is a non progressive neurological disorders commonly associated with
a spectrum of developmental disabilities such as strabismus (misalignment of eye). The Eye …

A Study of Intrusion Detection System using Machine Learning Classification Algorithm based on different feature selection approach

P Illavarason, BK Sundaram - … conference on I-SMAC (IoT in …, 2019 - ieeexplore.ieee.org
Network security is the most challenging task of the modern digital era. Due to the
development in internet, the number of network attacks has also increased, this is prevented …

Smart methodology for performance improvement of energy sources for home application

P Sivagami, NMJ Swaroopan - Microprocessors and Microsystems, 2020 - Elsevier
The integrated solar and wind serves as a major contributor's for clean electrification in
many nations. In this technical era energy crisis is primary issue due to depletion of …

Hybrid ABC-BAT optimization algorithm for localization in HWSN

B Nithya, J Jeyachidra - Microprocessors and Microsystems, 2021 - Elsevier
In this paper, a hybrid ABC-BAT optimization algorithm is designed for localization in
Heterogeneous Wireless Sensor Networks (HWSN). This algorithm combines the features of …

Multi-Objective based test case selection and prioritization for distributed cloud environment

N Gokilavani, B Bharathi - Microprocessors and Microsystems, 2021 - Elsevier
Software testing is highly significant during the software development lifecycle for the earlier
detection of errors and bugs. Test suite optimization is a selection of the smallest subset of …

RETRACTED ARTICLE: Detecting disorders in retinal images using machine learning techniques

JA Gnanaselvi, GM Kalavathy - Journal of Ambient Intelligence and …, 2021 - Springer
The importance of the research is to detect disorders in retinal images using machine
learning techniques. Eyes play an important role in our day to day life and are the most …

Feasibility of Recurrent Neural Network for the Binary classification of Non stationary signals

TTM Delsy, NM Nandhitha, BS Rani - Microprocessors and Microsystems, 2021 - Elsevier
Spectral domain techniques are best suited for the examination of signals which are non-
stationary in nature. Features extracted from spectral decomposition can be represented …

Performance evaluation on the node mobility with respect to human driver behavior prediction in vehicular ad hoc network using adaptive deer hunting Optimized Link …

C Swamynathan, MK Palanichamy… - International Journal of …, 2021 - Wiley Online Library
In vehicular ad hoc network (VANET) broadcasting is considered as the critical area of
research. The vehicles are connecting in an ad hoc manner to create a network of a wider …

New improved two-phase interleaved converter with clamp circuit and diode capacitor cell

M Kavitha, V Sivachidambaranathan - Microprocessors and Microsystems, 2020 - Elsevier
This paper introduces a new improved two-phase DC–DC interleaved converter with clamp
circuit and diode capacitor cell with coupled inductor for DC micro grid. The key focus of this …

Distance-based method used to localize the eyeball effectively for cerebral palsy rehabilitation

G Sumathy, J Arokia Renjit - Journal of Medical Systems, 2019 - Springer
Iris plays a vital role in human life for object identification. Many models and techniques
were proposed and suggested for detecting the Iris, but the accuracy was not achieved up to …