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Papers tagged with "Forecasting"
SALE FORECAST: A REVOLUTIONARY WEB APPLICATION FOR PREDICTIVE SALES ANALYSIS WITH ENHANCED SECURITY
This Research Introduces A Sophisticated Web-based Platform Meticulously Designed For Predicting Sales Outcomes By Leveraging Historical Sales Data And Integrating Advanced Machine Learning Algorithms. The Platform Boasts A User-friendly In...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
FORECASTING THE MOVEMENT OF STOCK TRENDS EMPLOYING DEEP NEURAL NETWORKS
Forecasting The Stock Market Is Difficult And Unpredictable. Numerous Factors, Such As Economic Statistics, Geopolitical Developments, Investor Mood, And Unforeseen Events Like Natural Catastrophes Or Health Crises, Can Have An Impact On Ma...
A DATA DRIVEN APPROACH FOR PREDICTION OF AGRARIAN YIELD THROUGH MACHINE LEARNING
Agriculture Is Undergoing A Metamorphosis Due To Several Environmantal And Scoal Factors. Due To Challenges Such As Global Warming, Intermittent Rainfall Patterns And Eroding Nutrient Values Of Soil, Crop Yileds Have Become More Upredictabl...
IOT BASED ENVIRONMENT MONITORING SYSTEM
IoT (Internet Of Things) Based Environment Monitoring Refers To The Use Of IoT Devices To Monitor And Collect Data About Environmental Parameters Such As Temperature, Humidity, Air Quality, And Light Levels. This Data Can Be Used To Improve...
AN FULLY AUTOMATED AI BASED TRADING SYSTEM
Generating Reliable And Meaningful Product Demand Predictions Is An Open Challenge In The Industrial Environment.. Demand Forecasting Is Still An Active Avenue Of Research Since It Significantly Affects Business Profitability Because Of Unc...
FORECASTING CROP YIELDS EMPLOYING GRADIENT DESCENT ALGORITHM FOR DEEP NEURAL NETWORKS
Agriculture Is Undergoing A Metamorphosis Due To Several Environmantal And Scoal Factors. Due To Challenges Such As Global Warming, Intermittent Rainfall Patterns And Eroding Nutrient Values Of Soil, Crop Yileds Have Become More Upredictabl...
A NEURO FUZZY INFERENCE SYSTEMS BASED METHOD FOR DEMAND FORECASTING FOR SUPPLY CHAINS
Off Late, The Demand For Pharmaceutical Products And Drugs Has Ramped Up Significantly Due To The Ongoing COVID-19 Scenario. Several Instances Have Been Reported Where Large Scarcity Of Drugs Have Led To Fatalities In Patients. Hence, The N...
A REVIEW ON SUPPLY CHAIN FORECASTING METHODS BASED ON EVOLUTIONARY ALGORITHMS
Supply Chain Management Has Remained An Active Area Of Research Due To Its Widespread Applications In Several Domains Of Manufacturing Business. Supply Chain Management Is A Broad Domain Of Business Analytics With Each Sub-domain Having Its...
HOLT-WINTER APPROACH TO FORECASTS AIR QUALITY INDEX OF INDUSTRIAL AREAS OF CHENNAI CITY IN INDIA
The Air Quality Index (AQI) Is A Prominent Technique For Raising Public Awareness And Involvement In Initiatives Aimed At Reducing And Managing Vehicular Traffic In Urban Areas. In This Regard, The Holt-winter Approach Is Employed For Forec...
BIG DATA ANALYSIS AND MINING OF CRIME DATA USING LSTM
Big Data Analytics (BDA) May Be A Systematic Approach For Analysing As Well As Identifying Different Patterns, Relations, As Well As Trends Within A Large Volume Of Knowledge. During This Paper, We Apply BDA To Criminal Data Where Explorato...
BIG DATA ANALYSIS AND MINING OF CRIME DATA USING LSTM
Big Data Analytics (BDA) May Be A Systematic Approach For Analysing As Well As Identifying Different Patterns, Relations, As Well As Trends Within A Large Volume Of Knowledge. During This Paper, We Apply BDA To Criminal Data Where Explorato...
A SURVEY OF MACHINE LEARNING TECHNIQUES FOR PRODUCT SALES PREDICTION
Product Sales Prediction Is A Vital A Part Of Modern Business Intelligence. Customers Became More Fascinated By The Standard Of Service (QoS) That Organizations Can Provide Them. Services Provided By Different Vendors Are Not Highly Disting...
CARDIOVASCULAR DISEASE PREDICTION USING DEEP LEARNING ALGORITHM
In Recent Days, Many Populations Are Affected By The Heart Disease Which Is Mainly Caused As A Result Of Poor Diet And Life Routine Of The People. The Improper Forecasting Done By The Doctors And The Individual People With Their Own Body Ar...
PREDICTIVE DATAMINING AND MODIFIED K-MEANS FOR RAINFALL PREDICTION
In The Present Article, An Attempt Is Made To Derive Optimal Data-driven Machine Learning Methods For Forecasting An Average Daily And Monthly Rainfall Of The Kaggle Dataset. This Comparative Study Is Conducted Concentrating On Three Aspect...