R. Rani Hemamalini
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View article: Emotion Analysis for Scam Detection in Social Media and Communication Platforms: Using Machine Learning
Emotion Analysis for Scam Detection in Social Media and Communication Platforms: Using Machine Learning Open
This project would leverage sentiment analysis techniques to identify scam patterns in text data, such as emails, social media posts, or instant messages. Scammers often use emotional manipulation (e.g., fear, urgency, greed) to deceive vi…
View article: AB-Swish: A Novel Activation Function for Neural Networks in Hybrid Portfolio Optimization Frameworks
AB-Swish: A Novel Activation Function for Neural Networks in Hybrid Portfolio Optimization Frameworks Open
View article: Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology
Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology Open
The most prominent source of drinking water is groundwater, followed by lakes and reservoirs. Hydrological parameters like temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity often change due to waste dumping into natural d…
View article: Air Quality Monitoring and Analysis for Sustainable Development of Solid Waste Dump Yards Using Smart Drones and Geospatial Technology
Air Quality Monitoring and Analysis for Sustainable Development of Solid Waste Dump Yards Using Smart Drones and Geospatial Technology Open
Air pollution has become a global health issue, affecting millions of people annually. It is essential to obtain accurate and up-to-date information on air quality levels to reduce the impact of air pollution on human health. Traditional a…
View article: Deep Reinforcement Learning Algorithm based PMSM Motor Control for Energy Management of Hybrid Electric Vehicles
Deep Reinforcement Learning Algorithm based PMSM Motor Control for Energy Management of Hybrid Electric Vehicles Open
Hybrid electric vehicles (HEV) have great potential to reduce emissions and improve fuel economy. The application of artificial intelligence-based control algorithms for controlling the electric motor speed and torque yields excellent fuel…
View article: A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things
A Complex Brain Learning Skeleton Comprising Enriched Pattern Neural Network System for Next Era Internet of Things Open
The Internet of Things (IoT) is now growing dramatically on various levels and helps to digitize various vital industries quickly. The most difficult obstacle for BCIs to overcome is the fact that not everyone has the same brain. Every new…
View article: Hybrid User Acceptance Test Procedure to Improve the Software Quality
Hybrid User Acceptance Test Procedure to Improve the Software Quality Open
Fast-growing software needs result in the rise of quality software in technical and time challenges in software development and the impact the cost and scarcity of resources addressed by the companies. Thus, this research focuses on optima…
View article: Comparative Study on Predicting Particulate Matter (PM2.5) Levels Using LSTM Models
Comparative Study on Predicting Particulate Matter (PM2.5) Levels Using LSTM Models Open
In recent times, air pollution has attracted the attention of policymakers and researchers as an important issue. The pollution that contaminates the air that people breathe is from pollutants such as oxides of carbon, nitrogen and sulphur…
View article: Pixel based Medical Image Fusion Techniques using Discrete Wavelet Transform and Stationary Wavelet Transform
Pixel based Medical Image Fusion Techniques using Discrete Wavelet Transform and Stationary Wavelet Transform Open
Background: Process of combining significant information from 2 or more images to get an output without any artifact or information loss. Also to perceive all information required for accurate diagnosis and to get high spatial resolution w…
View article: Evaluation of Choose Max and Contrast based Fusion Rule Using DWT for PET, CT Images
Evaluation of Choose Max and Contrast based Fusion Rule Using DWT for PET, CT Images Open
The aim of medical image fusion is defined as the combination of visual information contained in any number of input images into a single fused output image without introducing artifacts or information loss. In this paper medical image fus…
View article: Evaluation of Choose Max and Contrast based Fusion Rule Using DWT for PET, CT Images
Evaluation of Choose Max and Contrast based Fusion Rule Using DWT for PET, CT Images Open