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Papers tagged with "Card"
Andrographis Paniculata: Phytochemistry, Pharmacological Activities, Cardioprotective Potential, And Recent Advances
Traditional Herbal Medicines Remain An Important Source Of Healthcare, Particularly In Developing Countries. This Study Evaluated The Cardioprotective Effect Of An Aqueous Extract Of Andrographis Paniculata Against Dichlorvos-induced Cardia...
IOT BASED HEART DEFECT MONITORING SYSTEM USING ECG
Smart Healthcare Is Important For People Who Need Continuous Monitoring Which Cannot Be Provided Outside Hospitals. It Is Also Important At Rural Areas Or Villages Where Nearby Clinics Can Be In Touch With City Hospitals About Their Patien...
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learni...
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...
Hybrid Adaptive Sampling With Risk-Based Credit Card Fraud Detection (HAS-RFD)
Credit Card Fraud Has Become A Significant Challenge In The Digital Economy, Resulting In Substantial Financial Losses And Reduced Trust In Online Transactions. This Paper Presents A Hybrid Adaptive Sampling With Risk-Based Fraud Detection...
Secure Cardless Withdrawal In ATM
Card-based ATM Authentication Has Been A Primary Target For Skimming, Cloning, And PIN Theft Attacks, Resulting In Billions Of Dollars In Losses For Account Holders And Financial Institutions Every Year. This Paper Presents A Secure Cardles...
Virtual Queueing System For RationShop
Ration Shop's Virtual Queueing System Is An Online Program That Attempts To Modernize And Improve The Way People Access Food And Goods From Government Ration Shops. Many People Are Frustrated With Having To Wait Long Periods Of Time In Crow...
A Hybrid Deep Learning Model For Detecting Credit Card Fraud Using CNN–BiLSTM With An Attention Mechanism And Focal Loss Optimization
Detecting Credit Card Fraud Is A Complex Task Due To The Significant Imbalance In Data And The Constantly Changing Nature Of Fraudulent Activities. This Research Introduces A Hybrid Deep Learning Model That Combines CNN, BiLSTM, And An Atte...
Identifying Credit Card Frauds Employing Deep Learning
With Increased Internet Usage, Online Transactions Have Been On The Rise. One Of The Most Prevalent Problems Faced Is Credit Cards Frauds. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devic...
AI-BASED ATHEROSCLEROSIS DETECTION MODEL USING CARDIOVASCULAR IMAGING DATA
Atherosclerosis Is A Chronic Cardiovascular Condition Characterized By The Gradual Accumulation Of Plaque Within Arterial Walls, Resulting In Restricted Blood Flow And Increased Risk Of Heart Attacks And Strokes. Early Detection Is Essenti...
A Survey On Machine Learning And Deep Learning Approaches For Credit Card Fraud Detection
Digital Payment Systems Have Become A Vital Part Of Daily Life, With Credit Cards Being Widely Used For Both Online And Offline Transctions.Banks, Retailers, And Clients Have All Experienced Large Financial Losses Because Of The Sharp Incre...
Performance Evaluation Of Hybrid Machine Learning Models For Credit Card Fraud Detection
Credit Card Fraud Cares With The Illegal Use Of Master Card Information For Purchases. Credit Card Transactions Are Often Accomplished Either Physically Or Digitally. In The Manual Transactions, The Credit Card Is Included During The Transa...
Formulation And Evaluation Of Fast Disintegration Tablet Of Nicardipne
The Aim Of This Study Was To Formulate And Evaluate Nicardipine Fast Disintegrating Tablets (FDTs), Which Are Designed To Provide Rapid Onset Of Action, Enhanced Bioavailability, And Improved Patient Compliance, Especially In Individuals Wi...
Smart Dustbin With Integrated Bomb Detection System
The Rapid Urbanization And Increasing Population In Metropolitan Cities Have Intensified The Challenges Of Waste Management. Traditional Waste Disposal Systems Often Fail To Address The Critical Issues Of Efficiency, Segregation, And Monito...
RNN-Based Heartbeat Sound Analysis With Django Integration
Congenital Heart Diseases (CHDs) Are Among The Leading Causes Of Mortality Worldwide, Necessitating Early And Accurate Detection Methods.Improving Patient Outcomes And Facilitating Prompt Medical Intervention Depend Heavily On Early Diagnos...