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Papers tagged with "Ensemble"
An Ensemble Machine Learning Models For Heart And Cardiovascular Disease Prediction
Chronic Health Risks Have Risen Among Young Individuals Due To Several Factors Such As Sedentary Lifestyle, Poor Eating Habits, Sleep Irregularities, Environmental Pollution, Workplace Stress Etc. The Problem Seems To Be More Menacing In Th...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
Deep Learning Approach For Detecting Fake Job Posting In Online Recruitment Platform
The Rapid Growth Of Online Job Portals Has Changedhow People Find Work, Making The Process Much Easier. However, This Easy Access Has Also Led To A Massive Increase In Fake Job Postings And Employment Scams. Scammers Use These Platforms To...
CHRONIC KIDNEY DISEASE PREDICTION USING MACHINE LEARNING ENSEMBLE ALGORITHM
Chronic Kidney Disease (CKD) Is A Non-communicable Illness That Affects A Significant Portion Of The Global Population. Major Risk Factors Include Diabetes, Hypertension, And Cardiovascular Disorders. CKD Often Remains Asymptomatic In Its E...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...
Recognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Aut...
Intelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely...
Predicting Bankruptcy With Precision: Insights From Hybrid Machine Learning Models On Unbalanced Polish Financial Data
Bankruptcy Prediction Is A Critical Area In Financial Risk Assessment, Supporting Timely Decisions For Investors, Regulators, And Institutions. This Study Presents A Comparative Analysis Of Multiple Machine Learning Models, Including Tradit...
Automated Identification of Student Engagement in Online Learning: A Bagging Ensemble Deep Learning Method
The COVID-19 Pandemic Has Transformed Education, Shifting Learning From Traditional Classroom Settings To Online Platforms. While This Transition Offers Benefits, Such As Freeing Learning From Time And Location Limitations, And Allowing Edu...
CLOUD BASED INTRUSION DETECTION SYSTEM
With The Improvement Of Wireless Communication, Many Security Threats Have Also Emerged. An Internet Site Intrusion Detection Gadget (IDS) Facilitates Finding Assaults Over The Business Enterprises And The Criminals Can Be Arrested. Earlier...
CLASSIFICATION OF SOCIETAL SENTIMENTS AND ITS DOMAIN BY MACHINE LEARNING TECHNIQUES
In The Current Digital Era, Social Media And Online Platforms Have Developed Into Effective Means For People To Voice Their Thoughts, Feelings, And Opinions Regarding A Range Of Societal Issues. Enhancing Decision-making Processes, Promotin...
ABHORRENT TWEET TEXT DETECTION USING ENSEMBLE OF CLASSIFIERS METHODS
Nowadays Abhorrent Tweet On Social Media Has Become A Major Problem. Abhorrent Tweet May Cause Many Serious And Negative Mental, Emotional And Physical Impacts On A Person's Life. However, Abhorrence Leaves A Record That Can Demonstrate Val...
FAKE NEWS DETECTION USING MACHINE LEARNING ALGORITHMS- A REVIEW
The Increasing Spread Of Fake News Poses A Serious Threat To The Credibility Of Information Sources And Public Discourse. Machine Learning Algorithms Have Been Increasingly Used To Identify Fake News And Differentiate Them From Real News. I...
DIABETES PREDICTION USING ENSEMBLE ALGORITHMS AMONG WOMEN
All Times Diabetes As Diabetes Mellitus.Diabetes Is A Sickness That Happens While Your Blood Glucose Is Just Too Excessive.In This Paper,propose A Diabetes Prediction Using Ensemble Strategies. Practice Three Ensemble Techniques Inclusive O...