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Papers tagged with "Support"
DATA SET CLASSIFICATION BY EXTENDING ATTRIBUTES INFORMATION FOR IMPROVING THE CLASSIFICATION ACCURACY
When We Are Using Small Data Set Then Main Issue Is Data Quantity, Because Robust Classification Performance Will Not Be Calculated Due To This Inadequate Or Small Data. So Extracting More Efficient Information Is The New Research Area Whic...
DISPLAYING AND FORESEEING CYBER HACKING RUPTURES USING MACHINE LEARNING TECHNIQUES
Breaking Down Digital Occurrence Informational Indexes Is A Significant Technique For Developing Our Comprehension Of The Advancement Of The Danger Circumstance. This Is A Generally New Exploration Theme, And Numerous Examinations Stay To B...
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...
PREVENTION OF ROAD ACCIDENTS BY DETECTING DRIVER DISTRACTIONS USING MACHINE LEARNING
This Paper Presents A Method That Is Aimed Towards The Detection And Evaluation Of Driver Distraction While Performing Secondary Tasks And An Appropriate Hardware And A Software Environment Is Offered And Studied.In The Modern Day World, Ro...
PREDICTION ALGORITHM FROM CHEST X-RAYS OF THORAX DISORDERS USING MACHINE LEARNING
The Chest X-ray Is Among The Top Most Commonly Accessible Medical Imaging Examinations Used For Affordable Screening And Diagnosis Of Numerous Lung Ailments Including Pneumonia, Fibrosis, Hernia, Edema, Emphysema, Cardiomegaly And Pneumotho...
TUMOR DETECTION AND CLASSIFICATION OF MRI BRAIN IMAGE USING REGION BASED DETECTION AND SUPPORT VECTOR MACHINES
In The Recent Times Computer Science Applications In Resonance Imaging (MRI) Is Applied In Numerous Clinical Researches. However, For Analyzing Tumor Without Human Intervention Is Taken Into Account As A Major Space Of Analysis As A Result...
FUZZY CLUSTER MINING DATA FOR MMSI IN BIGDATA
The Traditional Single Minimum Support Data Mining Algorithm Has Some Problems, Such As Too Much Space Occupied By Data, Resulting In Insufficient Accuracy Of The Algorithm, Which Is Difficult To Meet The Needs Of The Development Of The Tim...
REAL TIME DRIVER DROWSINESS DETECTION USING CONVOLUTIONAL NEURAL NETWORK
Now A Days The Drowsiness Of Driver Is Leading Cause For Major Accidents. The Regular Monitoring Of Drivers Drowsiness Is One Among The Simplest Solution To Scale Back The Accidents Caused By Drowsiness. It Is Vital To Style A Road Accident...
BEARING FAULT DIAGNOSIS USING MACHINE LEARNING FOR REAL-TIME APPLICATION
This Paper Gives Bearing Fault Diagnosis Using Machine Learning For Real-time Application In An Induction Motor Of 3-phase. This Method Is Constructed By The Support Vector Machine Classifier To Identify The Bearing Fault. In The 3-phase In...
CLASSIFICATION OF CLOUD TYPES USING PARTIAL LEAST SQUARE REGRESSION TECHNIQUE
An Accurate Identification Of Clouds From The Captured Sky/cloud Image Using Ground-based Sky Cameras Is Difficult, Due To The Fuzzy Boundaries Of Clouds, Uncertainties In The Cloud Etc. Several Techniques Have Been Proposed That Use Color...
SENTIMENT ANALYSIS USING OPINION MINING
Sentiment Analysis Is The Computational Of Opinions, Sentiments, Evaluations, Attitudes, And Emotions Expressed In Text. It Refer Toa Classification Problem With The Main Focus Is To Predict The Polarity Of Words And Then Classify Them Into...
An Efficient Approach for the Prediction of Election Result using Machine Learning
In Sentiment Analysis, Study Of Opinions, Sentiments, Attitudes, Views And Emotions Expressed In Text. Classification Is Done To Find Out The Polarity Of The Word And Then Categorize Them Into Positive Or Negative Sentiment. Sentiment Analy...
SURVEY OF ELECTION PREDICTION USING MACHINE LEARNING
Sentiment Analysis Is Considered To Be A Category Of Machine Learning And Natural Language Processing. It Is Used To Extricate, Recognize, Or Portray Opinions From Different Content Structures, Including News, Audits And Articles And Catego...
AGRICULTURE PREDICTION USING MACHINE LEARNING
Agricultural Intelligent Decision System Has A Positive Practical Significance For Guiding Agricultural Production, Which Can Provide Scientific Basis For Agriculture.ML Technology Can Effectively Improve The Performance Of Intelligent Deci...
LUNG CANCER DETECTION USING MULTI-CLASS SVM AND CNN
Several New Approaches Has Been Used To Remove The Snap Blur Caused Due To The Camera Shake, With One Or More Multiple Images, By Providing Solutions For An Inverse And Inherently Illposed Deconvolution Problem. Currently, In All New Digita...