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Papers tagged with "Lstm"
Smart Review Analysis System Using Machine Learning
The Rapid Proliferation Of Online Movie Reviews Has Created A Pressing Need For Automated Systems Capable Of Distinguishing Spoiler Content From Non-spoiler Opinions. This Paper Presents The Smart Review Analysis System (SRAS), An Intellige...
Live Cryptocurrency Market Dashboard With Machine Learning-Based Price Prediction And RSI Signal Generator
Cryptocurrency Markets Are Highly Volatile And Change Rapidly, Which Makes Price Prediction And Decision- Making Difficult For Investors. This Project Presents A Live Cryptocurrency Market Dashboard That Provides Real-time Market Visualizat...
A Novel Dense-Swish-CNN With Bi-LSTM Framework For Image Deepfake Detection
The Rapid Advancement Of Deep Generative Models, Particularly Generative Adversarial Networks (GANs) And Diffusion-based Architectures, Has Substantially Lowered The Barrier To Producing Photorealistic Synthetic Human Faces, Collectively Re...
VIDEO CAPTIONING AND EMOTION RECOGNITION USING CNN+LSTM
With The Rapid Growth Of Digital Video Content, Particularly Across Social Media Platforms, Short And Engaging Videos Have Become Increasingly Dominant In Capturing User Attention. Video Captioning Plays A Critical Role In Addressing This T...
Dynamic Modeling Of Parkinsonian Gait Using Latent Biomarkers
Parkinson's Disease (PD) Affects Gait Dynamics, And Hence, Objective Analysis Is Required For Accurate Diagnosis. In This Regard, This Manuscript Proposes A Deep Learning Framework For Modeling Parkinsonian Gait Using Vertical Ground Reacti...
ENHANCING STOCK PRICE FORECASTING ACCURACY USING COMPOSITIONAL RNN
Predicting Stock Prices Accurately Is Essential For Making Well-informed Decisions In Erratic Financial Markets. This Paper Introduces A Compositional Deep Learning Framework For Multivariate Time-series Forecasting That Integrates Three RN...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...
A Survey On Machine Learning And Deep Learning Approaches For Credit Card Fraud Detection
Digital Payment Systems Have Become A Vital Part Of Daily Life, With Credit Cards Being Widely Used For Both Online And Offline Transctions.Banks, Retailers, And Clients Have All Experienced Large Financial Losses Because Of The Sharp Incre...
AI Powered Content Moderation And Alert System
Social Media Platforms Such As Twitter (now X) Have Become Primary Channels For Real-time Information Exchange, En- Abling Rapid Dissemination Of News, Opinions, And Public Discourse. However, This Rapid Growth Has Also Led To A Significant...
Hybrid Deep Learning Framework for Intelligent Antenna Design Optimization Using CNN–LSTM with Physics-Informed Learning
Modern Wireless Communication Systems Demand Antennas With High Gain, Wide Bandwidth, And Low Return Loss While Maintaining Compact Size And Reduced Development Time. Conventional Electromagnetic Simulation–based Antenna Design Techniques,...
A Hybrid GNN-LSTM Model For Feedback-Free Adaptive Modulation And Coding In Massive MIMO
Adaptive Modulation And Coding (AMC) Is A Key Enabler For Achieving High Spectral Efficiency And Reliability In Massive Multiple-Input Multiple-Output (MIMO) Systems. Conventional AMC Techniques, However, Rely Heavily On Explicit Channel St...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
Predictive Maintenance Of Bridge Structures Using AI-Driven Vibration Analysis And Sensor Data
Bridge Structures Are Among The Most Crucial Components Of Civil Infrastructure, Often Bearing The Load Of Transportation Systems Across Cities And Regions. Their Failure Can Lead To Significant Economic Disruptions, Public Safety Hazards,...
AFFECTIVE SALES: EMOTIONALLY DESIGNED SMART DASHBOARD FOR MULTI-MODEL SALES FORECASTING
In Today's Competitive Business Landscape, Relying Solely On Historical Sales Dashboards Is No Longer Sufficient. This Work Presents A Smart Forecasting Dashboard That Combines The Power Of Three Advanced ModelsXGBoost, Prophet, And LSTMto...
Silent Alert: Advancing Women's Security Through Smart Sign Recognition And AI
Women's Safety Is A Global Concern Requiring Immediate And Innovative Solutions. This Paper Introduces "Silent Alert," A Real-time Hand Gesture Recognition System That Detects Emergency And Rescue Signs Based On Video Input. Leveraging Medi...