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Toxic Comment Detection based on Improved Bi Directional Long Short Term Memory
2025 International Conference on Intelligent Systems and Computational Networks (ICISCN)
Year: 2025 | Conference Paper |
In recent years, toxic comment detection evolved as important in detecting hatred and harmful content present in user-generated content. However, a few challenges are raised in detecting toxic comments like context sensitivity and missing toxic content. To overcome these issues, improved Bi-directional Long Short-Term Memory (Bi-LSTM) is proposed for toxic comment detection. Initially, data is pre...Show More
Multimodal Transformer Fusion for Sentiment Analysis using Audio, Text, and Visual Cues
S. Peerbasha;Mohammed I. Habelalmateen;Ramachandra A C;Revathi P;T. Saravanan
2025 International Conference on Intelligent Systems and Computational Networks (ICISCN)
Year: 2025 | Conference Paper |
In modern era, the increased growth in social media platforms and technologies such as Artificial Intelligence (AI) have gained interest towards multimodal sentiment analysis that includes text, audio and visual cues for extraction of useful insights. Although these systems are capable of analyzing sentiment, but also faces certain challenges in synchronization of multimodal inputs, data fusion an...Show More
Smart Monitoring of DC Power in E-Vehicle and Regenerative Charging Technique
G. Saritha;S. Jayavardhini;G. Nandhini;G.V.Princy Yuvanita;T. Saravanan;J. Surendiran
2023 International Conference on System, Computation, Automation and Networking (ICSCAN)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
The main purpose of this project is to monitor Parameters of electric vehicles. As people become more environmentally aware, electric vehicles are growing in popularity. They have a variety of advantages over conventional gas-powered cars, including fewer emissions and a decreased reliance on fossil fuels. Instead of implementing a prototype investigation of EV parameters. They are rapidly becomin...Show More
Vehicle Density and Emergency Vehicle Detection for Smart Traffic Control
L. Vigneash;S. Samraj;S. Bhuvaneswari;T. Saravanan;G. Saritha
2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
Year: 2023 | Conference Paper |
Cited by: Papers (2)
The aim of this research paper is to propose a novel approach for managing vehicle density in urban areas through the detection of emergency vehicles.The suggested system employs sophisticated computer vision methodologies to analyse real-time traffic data and effectively detect emergency vehicles, hence facilitating streamlined traffic management and prioritised passage. The empirical findings pr...Show More
Analysis of Focused Web Crawlers: A Comparative Study
I. Wayan Suryasa;Byron Fernando Chere-Quiñónez;Rishab Pastariya;T. Vanaja;T. Saravanan
2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
Year: 2023 | Conference Paper |
This research paper presents a comparative study of focused web crawlers, specialized tools designed for targeted information retrieval. By conducting a systematic analysis, the study evaluates the performance and effectiveness of different crawlers. The research methodology involves selecting crawlers based on specific criteria and employing evaluation metrics. Multiple datasets are utilized for ...Show More
Cluster-Based Data Mining for Graphical Information Retrieval
R. Udayakumar;D. Balakrishnan;M. Shalini;T. Saravanan;G. Saritha
2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
Year: 2023 | Conference Paper |
This paper investigates the application of cluster-based data mining techniques in enhancing the efficiency and accuracy of graphical information retrieval. In the contemporary digital age, the exponential growth of graphical data necessitates advanced, scalable, and precise retrieval methods. Our research addresses the prevailing challenges by implementing a novel, cluster-based data mining strat...Show More
Development and Application of Mechanical Design Engineering Database Based on Simulated Annealing Algorithm
Aezeden Mohamed;Dadamukhamedov Alimjon;A. Choriev;T Saravanan;Laith Jasim;Manjunatha B
2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon)
Year: 2023 | Conference Paper |
In the process of mechanical engineering design, it is necessary to involve multiple links such as design, analysis, simulation, experiment, etc. There will be a large amount of data and information exchange between each link. The use of database technology can effectively improve the quality of data management, reduce data redundancy, and improve data sharing. Mechanical design engineering data i...Show More
Water Quality Monitoring System Using IoT
G. Saritha;R. Ishwarya;T. Saravanan;P. A. Saye Sudarshana;S. Sowmiya
2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
In recent years, the problem of water contamination has gotten worse. One of the main factors influencing health and the severity of the disease may be enjoying the water with family members and animals. The main sources of drinking water are lakes and streams, which are highly dependent on the quality of the water.This Internet of things-based mechanism for determining water quality seeks to asce...Show More
Life Saver
G. Saritha;T. Saravanan;S. Sivasubramanian;S. Jayavardhini;G. Nandhini;G.V. Princy Yuvanita
2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS)
Year: 2022 | Conference Paper |
One of the most important contributions one can give to society is through blood donation. For such a wonderful and fantastic goal, the B.O.P (Blood and Organ for Patients) system combines a website application and an android application. This is now feasible because to technological developments in Android development. Users, blood banks, and hospitals can all register on the website. The Android...Show More
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