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A HYBRID STOCK PRICE FORECASTING SYSTEM USING ARIMA, LSTM, AND SENTIMENT ANALYSIS
The Accurate Forecasting Of Stock Prices Remains One Of The Most Persistent And Challenging Problems In Quantitative Finance, Owing To The Inherently Noisy, Nonstationary, And Nonlinear Nature Of Financial Time Series. Traditional Foreca...
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
Hybrid Deep Learning Model For Early Fault Detection In Energy-Intensive Tablet Press Equipment: MLP–1D CNN Fusion For EMIS Applications
Fault Detection In Pharmaceutical Tablet Press Equipment Is Crucial For Ensuring Product Quality, Minimizing Downtime, And Reducing Energy Consumption In Energy-intensive Manufacturing Environments. This Study Presents A Hybrid Deep Learnin...
HYBRID BASED RECOMMENDATION SYSTEM USING SWITCHING TECHNIQUE
Now A Day, Most Of E-commerce And Social Media Sites Use Recommendation Systems To Help Users Find More Relevant Products Easily. The Key Feature Of Recommendation Is Personalization Which Means Different Products Are Being Offered For Differe...
A Fuzzy Support Vector Machine model for Improving Prediction accuracy of Heart Disease
Data Mining Is An Important Research Area For Medical Domain. The Risk Prediction Of Heart Disease Is Challenging Task In The Medical Field. Genetic Optimized Neural Network Classification Technique Gives Risk Prediction Of Heart Disease Wh...