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Papers tagged with "Sting"
Predicting Bankruptcy With Precision: Insights From Hybrid Machine Learning Models On Unbalanced Polish Financial Data
Bankruptcy Prediction Is A Critical Area In Financial Risk Assessment, Supporting Timely Decisions For Investors, Regulators, And Institutions. This Study Presents A Comparative Analysis Of Multiple Machine Learning Models, Including Tradit...
Leveraging A Random Forest Web Application For Improved E-Commerce Sales Forecasting
Accurate Sales Forecasting Is Critical For E- Commerce Businesses To Optimize Inventory Management, Reduce Costs, And Improve Customer Satisfaction. This Paper Introduces A Web Application That Leverages The Random Forest Algorithm To Enhan...
Mali Basundi Centre – A Smart Dairy Management And E-Commerce System
Mali Basundi Centre Is A Digital Transformation Initiative For Traditional Dairy Businesses Focusing On Promoting And Selling Local Dairy Products, Especially Basundi, Through An Integrated E-commerce Platform. The System Is Developed Using...
Security Web Application For Nexus Shield Solutions Pvt Ltd Pandharpur
"WebSecureity," The Security Web Application, Is A Thorough Cybersecurity Solution Designed To Provide Friendly, Secure Products Including Vulnerability Assessments, Penetration Testing, Safe Web Development, And Ethical Hacking Instruction...
Retail Sales Trend Analyzer: A Streamlit-based Application For Trend Detection, Product Insights, And Forecasting
In The Competitive Retail Industry, Understanding Sales Patterns, Seasonality, And Demand Forecasting Is Crucial For Strategic Planning And Operational Efficiency. This Paper Presents An Interactive And Lightweight Web-based Application, Re...
INVENTORY MANAGEMENT WITH REFERENCE TO CEDICOM ELECTRONICS SHORANUR
Efficient Inventory Management Is Pivotal For Maintaining Cost-effectiveness And Ensuring Customer Satisfaction. This Study Examines The Inventory Management Practices Of Cedicom Electronics, A Prominent Player In The Electronics Distributi...
Machine Learning Approach For Accurate Stock Predication Using LSTM
Stock Price Prediction Is A Critical Task For Investors, Traders, And Financial Analysts To Make Informed Decisions. Traditional Statistical Methods Often Struggle To Capture The Complex, Non-linear Patterns And Long-term Dependencies Inher...
Optimization Of Process Parameters For Magneto Cover By Using Taguchi Methods For DOE
Die Casting Is A Manufacturing Process That Can Produce Geometrically Complex Parts Through The Use Of Reusable Dies. Accuracy And Quality Are The First Need Of Customers That Must Be Fulfilled By Offering High Quality Products. The Differe...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
CFD Analysis And Evaluation Of Performance For Centrifugal Fan Using Wind Tunnel Testing
This Study Investigates The Performance Of A Centrifugal Fan Using A Combination Of Computational Fluid Dynamics (CFD) Simulations And Wind Tunnel Testing. The Primary Objective Is To Evaluate The Fan's Airflow Characteristics, Pressure Ris...
Intermittent Fasting in Type 2 Diabetes Mellitus
Type 2 Diabetes(T2D) Is A Global Health Burden, Necessitating Innovative Management Strategies. Intermittent Fasting (IF) Has Garnered Attention For Its Potential Benefits In Glucose Control, Weight Loss, And Cardiovascular Risk Reduction....
A BRIEF REVIEW ON PHARMACOGENOMICS AND PERSONALIZED MEDICINES
Pharmacogenomics, The Study Of How Genetic Variations Influence An Individual's Response To Drugs, Plays A Pivotal Role In The Advancement Of Personalized Medicine. This Field Integrates Genomic Data With Pharmacological Insights To Optimiz...
A Review on Machine Learning and Deep Learning Models for Forecasting Crypto Trends
Crypto Price Prediction Is A Category Of Time Series Prediction Which Extremely Challenging Due To The Dependence Of Crypto Prices On Several Financial, Socioeconomic And Political Parameters Etc. Moreover, Small Inaccuracies In Crypto Pric...
Supply Chain Forecasting Using Neuro Fuzzy Expert Systems
Recently, There Has Been A Substantial Increase In The Demand For Pharmaceutical Products And Pharmaceuticals As A Result Of The Ongoing COVID-19 Situation. There Have Been Multiple Recorded Cases Where A Significant Shortage Of Medication...
A REVIEW ON DATA DRIVEN MACHINE LEARNING MODELS FOR FORECASTING REMANUFACTURING COSTS OF EOL PRODUCTS
End-of-life Product Remanufacturing Represents A Crucial Component Of Sustainable Business Practices. By Extending The Life Of Products, Minimizing Waste, And Supporting Economic Growth, Remanufacturing Aligns With The Principles Of A Circu...