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Papers tagged with "Feature Selection"
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...
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...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
Detection Of Suicidal Ideation From Social Media Posts Using BERT And LSTM Models
Twitter And Facebook Are The Most Popular And Commonly Used Social Media Platforms Among People Of All Ages When Textually Expressing Their State Of Mind Or Emotions. Some Of These Emotions And Thoughts Are From People Who Are Suicidal. Sui...
Feature Engineering based malicious URLs detection models using Bi-directional RNN
Threats, Including Phishing, Are Still A Widespread And Growing Problem In Today's Digital Society Because Fraudsters Use Increasingly Complex Techniques To Deceive Users And Gain Illegal Access To Sensitive Information, Effective Phishing...
HYBRID APPROACH FOR CARDIAC ARRYTHMIA USING IOT
Compared To The Single-lead Approach, The 12-lead Electrocardiogram (ECG) Method Can Diagnose More Cardiovascular Diseases; However, Because Multiple Electrodes Need To Be Attached To The Body, It Is Challenging To Utilise In Daily Life. El...
INTEGRATED MODIFIED PC-LD ANALYSIS BASED DIMENSIONALITY REDUCTION TECHNIQUES
In The Field Of Machine Learning And Pattern Recognition, Dimensionality Reduction Is An Important Research Area. In Recent Years, Dealing Massive Dataset Poses A Severe Challenge To Many Existing Feature Extraction And Selection Methods In...
AGRICULTURAL PRODUCT PRICE AND CROP CULTIVATION PREDICTION BASED ON DATA SCIENCE TECHNIQUE
Crop Cultivation Prediction Is An Integral Part Of Agriculture And Is Primarily Based On Factors Such As Soil, Environmental Features Like Rainfall And Temperature, And The Quantum Of Fertilizer Used, Particularly Nitrogen And Phosphorus. T...
A NOVEL APPROACH FOR HEART DISEASE PREDICTION USING MACHINE LEARNING TECHNIQUES
Heart Disease Is One Of The Complex Diseases And Many People Suffered From The Disease Globally. In The Recent Years, One If The Most Significant Issue Is Death Because Of Heart Disease. It Is Necessary To Design A System That Will Correctl...
BREAST CANCER DETECTION BASED ON MACHINE LEARNING FEATURE SELECTION AND EXTRACTION ALGORITHM
Breast Cancer Is Cancer That Forms In The Cells Of The Breasts.After Skin Cancer, Breast Cancer Is The Most Common Cancer Diagnosed In Women In The United States. Breast Cancer Can Occur In Both Men And Women, But It's Far More Common In Wo...
NATIONAL BORDER SECURITY ALERT SYSTEM OF LIVING PASSPORT BY USING IRIS RECOGNITION
It Is A Security Based Concept In The Fields Where We Are Using Our Iris Recognition. Problems Being Faced By The People Living Near The International Border And The Line Of Control (LoC) In Jammu And Kashmir. Additionally, Cultural Radical...
INTRODUCTION TO GENETIC ALGORITHM AND IT'S APPLICATIONS
The Genetic Algorithm (GA) Is A Search Heuristic That Is Routinely Used To Generate Useful Solutions To Optimization And Search Problems. It Generates Solutions To Optimization Problems Using Techniques Inspired By Natural Evolution, Such A...
NETWORK INTRUSION DETECTION USING HYBRID NB ALGORITHM ON NSL-KDD DATASET
As The Communication Industry Has Connected Distant Corners Of The Globe Using Advances In Network Technology, Intruders Or Attackers Have Also Increased Attacks On Networking Infrastructure Commensurately. System Administrators Can Attempt...
A SURVEY PAPER ON ADVANCED APPROACH FOR CLASSIFYING DNA MICROARRAY DATA USING MACHINE LEARNING
Ensemble Classification Has Been A Frequent Topic Of Research In Recent Years, Especially In Bioinformatics And Especially True For DNA Microarray Data Experiment And Large Levels Of Noise Inherent In Data. DNA Microarray Data Is A High-dim...