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Papers tagged with "Naive Bayes"
Predictive Power Machine Learning Models For Machine Failure Status
Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...
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...
Secure Communications Platform With AIML - Based Threat Detection
The Increasing Prevalence Of Spam And Scam Calls Poses A Significant Security Threat, Particularly In Multilingual Regions Such As India. This Paper Presents ShieldCall AI, An AI-driven Spam Call Detection System That Integrates Machine Lea...
Medical based decision support system for stroke prediction and its types using ml algorithms
In The Modern-day World, When Compared With The Other Medical Issues, Stroke Is Ranked Second Among The Long-term & Serious Reasons For Death. Stroke Causes Demise Of Cerebrum Cells Because Acute Supply Of Oxygen & Bloodstream Blockage. WHO...
DIABETIC DETECTION USING MACHINE LEARNING
Now A Days Diabetes Has Become The Major Health Problem Among The People Of All Ages. The Main Problem In This Type Of Diseases Is Its Prediction. It Is Found That If Diabetes Is Detected At Early Stage, Then It Can Be Cured. So Early D...
HEALTH RECORD OF HEART DISEASE PREDICTION USING NAIVE BAYES ALGORITHM
Life Is Dependent On Competent Functioning Of Heart, Because Heart Is Necessary Part Of Our Body. If Function Of Heart Is Not Suitable, It Will Affect The Other Body Parts Of Human Such As Brain, Kidney Etc. Heart Disease Is A Disease That...
CARDIOVASCULAR DISEASES PREDICTION ANALYSIS USING MACHINE LEARNING ALGORITHMS
Cardiovascular Diseases(CVDs) Remain A Leading Global Cause Of Morbidity And Mortality. Early Detection And Accurate Risk Assessment Are Crucial For Effective Prevention And Intervention. This Study Presents A Comprehensive Machine Learning...
CANCER PREDICTION USING NAIVE BAYES THEOREM
Cancer Prediction Plays A Crucial Role In Improving Patient Outcomes By Enabling Early Diagnosis And Intervention. This Study Presents A Novel Approach To Cancer Prediction Using The Naive Bayes Algorithm, A Well-established Probabilistic C...
EARLY STAGE ALZHEIMER’S DISEASE DETECTION USING MACHINE LEARNING
Alzheimer's Disease, A Form Of Dementia That Primarily Affects Older Adults, Is A Major Public Health Concern Worldwide. The Use Of Machine Learning To Identify Metabolic Disorders Such As Alzheimer's And Diabetes Is A Rapidly Growing Area...
HEART DISEASE PREDICTION USING MACHINE LEARNING
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, Approximately One Person Dies Per Minute Due To Heart Disease. Data Science Plays A Crucial Role In Processing Huge Amount O...
DIABETES PREDICTION USING MACHINE LEARNING
Diabetes Is A Habitual Metabolic Illness That Affects Millions Of People Worldwide. The Early Discovery And Operation Of Diabetes Are Critical In Precluding Complications And Enhancing Patient Issues. Machine Learning Algorithms Have...
FRAUD APP DETECTION USING SENTIMENTAL ANALYSIS USING NAIVE BAYES ALGORITHM
With The Expansion In The Amount Of Mobile Applications In The Day To Day Life, It Is Crucial To Keep Track Of Which Ones Are Risky And Which Ones Aren't.Based Just On The Reviews That Are Presented For Each Application, One Cannot Determin...
DEVELOPING AN ACCURATE AND RELIABLE FAKE NEWS DETECTION SYSTEM USING SUPPORT VECTOR MACHINE
Fake News Has Become A Significant Concern In Today's Digital World, Where Information Spreads Rapidly Across Social Media Platforms And Online News Sources. The Proliferation Of Fake News Can Lead To Serious Consequences, Such As Misinfo...
ASPECT BASED SENTIMENT ANALYSIS OF CUSTOMER REVIEWS USING DEEP LEARNING ALGORITHM
Nowadays Consumers Post Reviews On Many E-commerce Websites To Share Their Thoughts And Opinions. These Websites Have Many Reviews Of Several Commodities, Products, And Other Services. With These Data Sentiment Analysis Can Be Performed Wh...
A REVIEW ON SENTIMENTAL ANALYSIS USING ML TECHNIQUES
Sentiment Analyses Help One To Derive Observations And Provide A Description That Could Be Useful For Consumer Analysis And Product Management. Sentiment Analysis Is A Collaborative Dialog Planning Activity Aimed At Finding Sentiments; We P...