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Papers tagged with "Toc"
A Comprehensive Review On Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
A Comprehensive Review On Contemporary Machine Learning And Deep Learning Models For Forecasting Stock Market Trends
Machine Learning Is Transforming Stock Market Prediction By Leveraging Vast Datasets, Advanced Algorithms, And Computational Power To Provide More Accurate Forecasts. While Challenges Remain, Continuous Advancements In Artificial Intelligen...
SMART INVENTORY SYSTEM FOR EXPIRY TRACKING AND SALES CONTROL
The Expiry Product Management And Alert System Is Designed To Assist Retail Shop Owners In Effectively Managing Inventory With A Focus On Product Expiry Tracking And Prevention Of Expired Product Sales. In Many Small And Medium Retail Busin...
Optimisation Of A Biogas Plant For Enhanced Biogas Production And Methane Concentration
An Increase In The World’s Demand For Renewable/sustainable Sources Of Energy Has Created Significant Interest In The Environmental Benefits Of Producing Biogas From Organic Waste For Both Energy Production And Managing Organic Waste On A D...
AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS
Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...
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...
AI-Powered Inventory Management System- Ezze Buy
This Paper Presents The Design, Architecture, And Full-stack Implementation Of EzzeBuy, A Web-based AI-powered Inventory Management And Sales Prediction Platform. The System Integrates A Long Short-Term Memory (LSTM) Neural Network Backend...
Virtual Queueing System For RationShop
Ration Shop's Virtual Queueing System Is An Online Program That Attempts To Modernize And Improve The Way People Access Food And Goods From Government Ration Shops. Many People Are Frustrated With Having To Wait Long Periods Of Time In Crow...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
A Study On The Perception Of Plant-Based Protein Products Among Consumers : Survey-based Analysis
Nowadays, Plant-based Protein Products Are In Market Demand And Has Gained Attention Due To Their Nutritional Content, Health Improvements And Sustainability. With The Growing Demand For Plant-based Protein, Analyzing And Understanding Cons...
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...
Anomaly Detection In Blockchain Networks In UPI Transactions
Blockchain Technology Has Revolutionized Distributed Systems Through Its Decentralized, Immutable, And Transparent Architecture. However, The Increasing Adoption Of Blockchain Networks Has Attracted Malicious Actors Exploiting Vulnerabiliti...
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...
Unveiling The Therapeutic Potential Of Couroupita Guianensis: An Overview Of Its Phytochemistry And Pharmacological Activities.
Couroupita Guianensis Aubl., Commonly Known As The Cannonball Tree, Is A Large Deciduous Tree From The Family Lecythidaceae, Celebrated For Its Rich Medicinal And Cultural Significance. In India, It Is Known As Nagalingam In Tamil And Kaila...