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Papers tagged with "Am"
Analysing Structural Failure Of Bridges Employing Bridge Parameters And Stochastic Modelling
Structural Failure In Pertaining To Bridges Is Extremely Challenging To Assess.. Stochastic And Statistical Computing Is Being Explored To Derive Conclusive Decisions Where Human Intervention Is Difficult In Time And Resource Constrained Si...
A Skin-Type Adaptive Ingredient Scoring Framework For Comparative Evaluation Of Cosmetic Products
The Need For Cosmetic Products Has Gone Up, So There's More Focus On Being Clear About What's In Them And Making Sure They're Safe. Many Products Say They Work For Different Skin Types, But People Usually Choose Them Based On Brand And Ads...
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations...
A Study On Group Conflict Management And Its Impact On Employee Productivity Improvement With Special Reference To A.S Aqua Farm, Vikkiravandi
Conflict Is A Natural And Unavoidable Phenomenon In Any Organization Where Individuals With Diverse Backgrounds, Skills, And Opinions Interact. This Study Examines The Impact Of Group Conflict Management On Employee Productivity Improvement...
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...
Gold Loan Priority In Loan Portfolio: A Comparative Study At Manappuram Finance Limited
The Gold Loan Segment Has Emerged As One Of The Most Significant And Rapidly Growing Components Of The Non-Banking Financial Company (NBFC) Sector In India. This Study Examines The Priority Given To Gold Loans Within The Overall Loan Portfo...
PermissionShield: A Hybrid Static And Dynamic Analysis Approach For Android Permission Misuse Detection
The Rapid Growth Of Android Applications Has Increased Concerns Regarding Excessive And Unjustified Permission Usage, Which Can Lead To Privacy Breaches, Data Leakage, And Unauthorized Access To Sensitive Resources. Existing Android Securit...
Disaster Relief: A Unified Multi-Stakeholder PWA-Based Emergency Response System With Real-Time Coordination And Report History
Effective Disaster Management Requires Rapid, Coordinated Communication Among Citizens, Relief Organisations, And Administrative Authorities. Existing Systems Are Fragmented, Lack Real-time Geographic Awareness, And Fail To Provide Emergenc...
Food Safety Standards And Prevention Of Food Contamination
Food Safety Is An Important Element In Public Health, Economic Stability, And Sustainable Development Since Foodborne Disease Continues To Affect Humans Around The World. Estimates Show That Almost 600 Million Individuals Contract Foodborne...
DRUG AND ALCOHOL USE AMONG YOUTH: A GROWING PUBLIC HEALTH CONCERN
Alcohol And Tobacco Use Is A Problem Among Young People Nowadays. It Is Happening Everywhere Not In One Place And India Is No Exception. Many Students Are Drinking Alcohol Using Tobacco And Sometimes Other Substances Too. There Are Reasons...
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...
BuySense: A Dual-Model Approach For Purchase Viability Prediction Using Amazon Review Data
This Paper Presents The BuySense, A Machine Learning Application That Predicts Whether A Product Is Worth Purchasing Based On Amazon Review Text Data. The System Builds Two Independent Binary Classifiers—a Viability Model And A Regret Model...
A Study On Training And Development
Training And Development Play An Important Role In Improving Employee Performance, Productivity, And Organizational Growth In Modern Industries. This Study Focuses On Analyzing The Training And Development Practices Followed At Sundram Fast...
Real-Time Detection Of Forest Fires Using FireNet-CNN And Explainable AI Techniques
This Study Proposes FireNet-CNN, A Lightweight And Efficient Deep Learning Model For Real-time Forest Fire Detection Using Convolutional Neural Networks (CNN) And Explainable AI (XAI) Techniques. The Model Was Trained And Evaluated On Augme...
Impact Of Onboarding Process On Reducing New Employee Anxiety: A Study At Femtosoft Technologies
Employee Onboarding Plays A Significant Role In Helping Newly Recruited Employees Adjust To Organizational Culture, Job Responsibilities, And Workplace Expectations. New Employees Often Experience Anxiety, Stress, Confusion, And Uncertainty...