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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...
Grozo: An AI-Powered Online Grocery Delivery System
Widespread Smartphone Adoption And Ubiquitous High-speed Connectivity Have Collectively Reshaped How Consumers Discover And Purchase Goods, Driving Sustained Migration Toward Digital Retail Channels Across All Product Categories. The Grocer...
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...
Efficient Machine Learning Approaches for Energy Optimization in Smart Grid Systems
Energy Management, Financial Savings, Efficient Planning, And Safe And Dependable Power Grid Operation All Depend Heavily On Energy Optimization. This Study Takes Into Account The Use Of Efficient ML Methods For Smart Grid Energy Management...
COLLABORATIVE FOG ENVIRONMENT AND MULTI-LEVEL RESOURCE SHARING FRAMEWORK IN DATA'S
For Computation, Storage, And Communication, Fog Computing Has Outperformed Classic Cloud Designs, Where Edge Devices Are Leveraged To Support Delay-sensitive Applications. Fog Nodes Have Made Computational Intelligence More Accessible To E...
A NOVEL FUZZY LOGIC CONTROLLER FOR POWER OPTIMIZATION OF ELECTRIC VEHICLE INDUCTION MOTOR
Energy Efficiency Is Crucial In Electric Cars (EVs) And Hybrid EVs Since The Energy Storage Is Constrained. The Induction Motor Efficiency Increases With Loss Minimization, Which Is In Addition To Its Excellent Stability And Inexpensive Cos...
DESIGN AND ANALYSIS OF NEW GENERATION NON PNEUMATIC TYRE CONCEPT
This Work Is To Provide Advanced Level Solution For 4 Wheeler Wheels To Provide Puncture Proof, Stable And Self Shock Absorber Wheels With Longer Life To Provide Safe And Comfortable Rides.as New Type Of Alloy Wheels Are Not Permitting Hea...
TIME-COST AND RESOURCE OPTIMISATION OF RESIDENTIAL CONSTRUCTION WORKS USING SPSS SOFTWARE
The Main Objective In The Construction Field Is To Complete Each And Every Project On Time, With Good Quality And Within The Estimated Cost. In The Construction Projects Time-cost And Resources Are The Most Crucial Factors To Be Considered...
A MULTI-OBJECTIVE ASSOCIATION RULE MINING WITH HYBRID APPROACH
Association Rule Mining (ARM) Is One Of The Most Well-liked Techniques Of Data Mining Strategies Whose Primary Aim Is To Extract Associations Rule Among Sets Of Items Or Products In Transactional Databases.Association Rule Mining Involves A...
AFFILIATES MARKETING AND ITS FUTURISTIC TRENDS
Affiliate Marketing Has Become One Of The Best Option For Marketers Where Essence Basically Lies In Shifting The Responsibility Of Sales On To A Third Party Which Are Later On Rewarded With Commission After Promoting And Convincing The Othe...
GEOMETRICAL OPTIMISATION OF HOUSING OF LADDU MAKING MACHINE BY USING TOPOLOGY OPTIMIZATION
This Paper Is About A Cost Reduction Of Housing By Geometrical Optimisation. The Housing Of Laddu Making Machine Used For Holding All Accessories During The Pressing Operation. It Has One Lever Having One End At Pressing Die For Making A Ci...
Optimization of process parameters for resistance spot welding process
The Automotive Industries Choose Resistance Welding For Manufacturing. Because, Of The Great Advantages This Process Has To Offer. The First Advantage Is Speed. When Over 5000 Welds Need To Be Made In A Typical Car, A Process Where Each...