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Papers tagged with "Adaboost"
AI-Powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms
The Rapid Growth Of Digital Technologies Has Substantially Increased Exposure To Cybersecurity Threats Including Malware, Phishing, Ransomware, And Unauthorized Network Intrusions. Traditional Signature-based Security Systems Are Inherently...
A NOVEL AND EFFICIENT AI DRIVEN GEOSPATIAL SIMULATION FOR ENHANCING THE GREEN ENVIRONMENT IN URBAN AREAS
Rapid Urban Growth Has Intensified Environmental Degradation, Particularly In The Form Of Declining Air Quality And Shrinking Green Spaces. Unregulated Development, Population Density Increases, And Industrial Expansion Have Disrupted Ecolo...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
E-COMMERCE CUSTOMER CHURN ANALYSIS USING HYPER PARAMETERED TREE ALGORITHM
In This Study, We Employ The AdaBoost Algorithm In Conjunction With GridSearchCV To Analyze Customer Churn In E-commerce. AdaBoost Is A Boosting Algorithm That Combines Multiple Weak Learners To Create A Strong Predictive Model. GridSearchC...
A FRAMEWORK FOR DETECTING SQL INJECTION ATTACK USING RECURRENT NEURAL NETWORKS
OWASP Has Identified SQL Injection As The Primary Security Threat Among The Top 10. SQL Injection Attacks Can Have Severe Consequences, Such As Data Breaches And Website Failure. To Address This Issue, An Adaptive Deep Forest-based Approach...
HEART DISEASE PREDICTION USING MACHINE LEARNING
With The Rapid Advancement Of Technology And Data, The Healthcare Domain Is One Of The Most Prominent Research Fields In The Current Scenario. The Enormous Amount Of Patient Data Is Difficult To Manage. Big Data Analytics Manages Informatio...
REVIEW ON COMPARATIVE STUDY OF MACHINE LEARNING CLASSIFIERS ON BREAST CANCER PREDICTION
In Today’s World Cancer Is The Most Common Diseases Which Lead To Greatest Number Of Death. Cancer Can Involve In Any Tissue Of The Body And Have Many Different Forms And In Each Body Part. Breast Cancer Is A Grim Disease And It Is The Only...
CREDIT CARD FRAUD DETECTION USING MACHINE LEARNING ALGORITHM
In The Fast Moving World Everything Has Become Digital. From Paying Small Merchants To Huge Financial Arrangements, Everything Is Accomplished By Using Credit/debit Cards. These Payment Cards Leads To Illicit Financial Manoeuvres. The Drawb...
POTENTIATE THE DETECTION-RATE OF NETWORK INTRUSION DETECTION USING ADABOOST ALGORITHM
Network Intrusion Detection Aims At Differentiate The Intrusions On The Internet From Normal Use Of Internet And Is An Essential Part Of The Information Security System. Network Consists Of Nodes Whose Operation Can Be Controlled By Und...