R. Bhavani's research while affiliated with Mepco Schlenk Engineering College and other places
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Publications (13)
The extensive and widespread incorporation of wind farms into transmission networks produces many challenges. One of the necessities is to improve power transmission capability to transport large levels of wind energy over long distances. The development of series compensators is a proven method of increasing the power transmission capacity of exis...
Due to its widespread cultivation and large yields by most farmers, cotton is another vital cash crop. However, a number of illnesses lower the quantity and quality of cotton harvests, which causes a large loss in output. Early diagnosis detection of these illnesses is essential. This study employs a thorough methodology to solve the crucial job of...
Offshore wind farms (OWF) are emerging steadily throughout the previous decade due to the steady growth in electricity demand. A high voltage direct current (HVDC) transmission network based on voltage source converters (VSC) is an inexpensive solution for long-distance large power transmission that is suitable to link OWF to an alternating current...
To consistently assess a patient’s internal and external wellness and diagnose chronic conditions like cancer, Alzheimer’s disease, and cardiovascular disease, wearable sensing devices are being used. Wearable technologies and networking websites have become incredibly common in the medical sector in recent times. The condition of a patient’s healt...
One of the main technologies for big data networking framework is online multihoming optimization that is large-scale dimension table association technology in a distributed environment. It is often used in applications like real-time suggestion and research. Big data is concerned with the quality of large datasets that are distributed. These datas...
Mesothelioma is a dangerous, violent cancer, which forms a protecting layer around inner tissues such as the lungs, stomach, and heart. We investigate numerous AI methodologies and consider the exact DM conclusion outcomes in this study, which focuses on DM determination. K-nearest neighborhood, linear-discriminant analysis, Naive Bayes, decision-t...
Citations
... Unlike traditional demand-side management techniques, which often rely on fixed rules, fuzzy logic enables a more flexible and adaptive control system (Bustos et al., 2022). By employing linguistic variables and fuzzy sets to represent uncertain and imprecise information, Fuzzy DSM can effectively model and respond to the dynamic nature of energy demand (Samuel et al., 2023;Bolurian et al., 2022). This approach allows for a nuanced decision-making process, considering factors such as user preferences, weather conditions, and load variations. ...
... This research contributes to the exploration of innovative solutions for environmental monitoring. In their paper, the authors in [11] provide an in-depth analysis of the latest developments in deep learning [21][22][23] applications for edge computing. They discuss various scenarios and applications in edge computing and highlight how deep learning techniques can be used to address the challenges faced in resource-constrained environments. ...
... Recent research works in LFC arena extended towards incorporating renewable energy resources. This will lead to the development of optimal control methodologies in LFC system to rectify the uncertainty problems because renewable energy sources have been included [1][2][3][4][5]. ...
Reference: ijeer-110414
... Furthermore, to improve the reliability of the results, it is recommended to use a larger dataset that is divided using cross-validation to simulate external validity. The findings should also be applied to various clinical applications and illnesses, including different types of cancers [79][80][81][82]. Moreover, it is essential to contemplate why disease diagnostics performed in clinical settings have not been extensively integrated with scientific evidence. ...
... This result in representative dissatisfaction, which ultimately worsens reduction, is exorbitant due to the dearth of talented representatives. This article (Ahmed et al. 2013;Kumar et al. 2022b;Rao et al. 2022;) proposes a VIKOR computation as an innovative approach to labour evaluations. The designing-related roles in a global avionics' organisation were analysed to determine the adequacy of the proposed strategy for addressing the work assessment issue. ...
... The Support and confidence to predict the class are calculated by the Association rule-based algorithm. [6,23] How frequently the items appear in the database is indicated by their support. The number of times the if/then statements have been verified as true is indicated by confidence. ...