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Papers tagged with "Sting"
ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting
- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...
Efficiency Optimization Of Interleaved Boost Converters Via Dynamic Phase Management And PI Control
This Paper Presents The Design, Hardware Realization, And Experimental Validation Of A Two-phase Interleaved Boost Converter (IBC) With Dynamic (adaptive) Phase Management For Low-voltage Photovoltaic (PV) Energy Harvesting. The Converter I...
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...
EXPERIMENTAL STUDY ON AUTOMATIC SOLAR TRACKING OF PV PANELS USING MECHATRONICS SYSTEMS
Solar Tracking Systems Can Greatly Enhance The PV Energy Collection Efficiency, But Fixed Panel Positioning And Ambient Thermal Stress Can Decrease The Total PV Energy Conversion Efficiency. In This Paper, A Dual Axis Solar Tracking And Act...
A Survey On Machine Learning And Deep Learning Models For Predicting Traffic Transit Time
The Transition Towards Intelligent Traffic Systems (ITS) Is Inevitable In Future. Accurate Travel Time Estimation Is Vital For The Effectiveness Of Modern Public Transportation Systems. It Plays A Central Role In Applications Such As Real-t...
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...
Electricity Generation From Speed Breakers Using Rack-and-Pinion Mechanism With DC Generator
Energy Scarcity And Depletion Of Non-renewable Fossil Fuels Are Two Of The Most Pressing Challenges Facing Modern Civilization. This Paper Proposes And Analyses A Novel, Low-cost Mechanism For Harvesting Electrical Energy From The Kinetic E...
Predictive Power Machine Learning Models For Machine Failure Status
Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...
BUSINESS INTELLIGENCE: A WEB-BASED BUSINESS INTELLIGENCE SYSTEM FOR REAL-TIME RETAIL ANALYTICS, DEMAND FORECASTING, AND RISK MANAGEMENT
Small And Medium Retail Businesses Frequently Face Operational Difficulties Related To Inventory Management, Stock Monitoring, Demand Estimation, And Financial Reporting. Most Shop Owners Rely On Manual Records Or Entry-level Billing Softwa...
AI-Driven Price Prediction System For Direct Farmer-to- Market Consumer Agricultural Market
Farmers Who Sell Directly To Consumers Through Digital Platforms Often Have No Idea What Price To Charge For Their Produce. They Rely On Heuristic Judgment And Informal Market Signals, Or Whatever Their Neighbor Charged Last Week. This Leav...
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 STUDY ON SALE AND DEMAND FORCASTING USING TIME SERIES ANALYSIS IN A TEXTILE MANUFACTURING COMPANY
Accurate Sales And Demand Forecasting Is A Strategic Imperative For Textile Manufacturing Enterprises Operating In Volatile, Seasonally Driven Markets. This Study Applies Time Series Analysis To Historical Sales And Demand Data (2022–2025)...
AI Trust & Performance Evaluation Platform (AI-TPEP)
AI-TPEP (AI Trust & Performance Evaluation Platform) Is A Modular And Reproducible Framework For Comprehensive Evaluation Of Machine Learning Systems Across Key Trust Dimensions, Including Predictive Performance, Calibration, Fairness, Robu...
Concrete Mix Design For M40 Grade
This Project Focuses On Designing An M40 Grade Concrete Mix Used In High-strength Structures Like Bridges And High-rise Buildings. The Aim Is To Achieve A Compressive Strength Of 40 MPa With Good Workability, Durability, And Cost Efficiency...
Hybrid Intelligence For Financial Forecasting Uniting LSTM With XG Boost
Predicting Price Of Any Stock Is Difficult To Achieve Because Of Volatility Of Market Conditions. In Fraction Of Seconds Markets Go Up And Down, Fluctuations And Mood Of The Investor These Makes Traditional Methods Less Accurate To Predict....