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Papers tagged with "Earning"
Optimized Image Classification Based on Universal Image Distance and Support Vector Machines
Image Classification Of Remotely Sensed Images Is One Of The Most Important Field Of Research In Computer Engineering. Image Classification Techniques Are Being Used In Object Recognition, Quality Control And OCR Systems. Many Of The Machin...
AN EFFECTIVE METHOD FOR FINGER-VEIN VERIFICATION USING CONVOLUTIONAL AUTO-ENCODER AND SVM METHOD
This Project Presents A Novel Deep Learning-based Method That Integrates A Convolutional Auto-Encoder (CAE) With Support Vector Machine (SVM) For Finger Vein Verification. The CAE Is Used To Learn The Features From Finger Vein Images And Th...
RETINAL VESSEL DETECTION BASED ON DEEP LEARNING
While Recent Advances In Deep Learning Have Significantly Advanced The State Of The Art For Vessel Detection In Color Fundus (CF) Images, The Success For Detecting Vessels In Fluorescein Angiography (FA) Has Been Stymied Due To The Lack Of...
ACBTC: ADVANCED COMMUNICATION BASED TRAIN CONTROL USING DEEP REINFORCEMENT LEARNING
High Unwavering Quality And Low Idleness Are Urgent For Metropolitan Rail Travels. In This Paper, We Present Correspondence Techniques For Advanced Correspondence Based Train Control (ACBTC) Frameworks Utilizing Long-term Evolution For Metr...
BREAST CANCER CLASSIFICATION USING NEURAL NETWORKS
Breast Cancer (BC) Is The Most Common Type Of Cancer In Adult Women. The Need For A System For Early Detection Of BC Is Evident And Consequently There Is A Demand For It In The Healthcare Industry. This Manuscript Attempts To Solve This Pro...
SURVEY ON FORESTWILDFIRE DETECTION BASED ON CLOUD AND FOG COMPUTING WITH ENERGY MANAGEMENT USING MACHINE LEARNING TECHIQUES
Cloud Is The Computing Paradigm That Enables A On-demand Network Service. Shared Pools Of Configuration Resources Like A Storing Data, Service Etc. Fog Is Emerging Technology That Extends Communication Facilities Towards An Edge Computing....
PHISHING DETECTION BASED ON CONVOLUTIONAL NEURAL NETWORKS
Phishing Websites Can Have Demoralizing Effects On Governmental, Monetary And Social Services, As Well As On Individual Privacy. Currently, Many Phishing Detection Solutions Are Evaluated Using Small Datasets And, Thus, Are Prone To Samplin...
GOSSIP DECTECTION IN MICROBLOGGING PLATFORMS
Microblogging Platforms Facilitate Fast And Frequent Communication Among Very Large Numbers Of Users. Gossips, Especially In Times Of Crisis, Tend To Spread Quickly, Causing Confusion, And Impair People’s Ability To Make Decisions. Hence, I...
ANALYSIS OF MACHINE VISION USING DEEP LEARNING
One Of The Important Characteristics Of Fruits Is Its Appearance. Appearance Not Only Influences Their Value, The Preferences And Also The Choice Of The Patron, But Also Their Internal Quality To A Particular Extent. Colour, Texture, Size,...
STOCK MARKET PREDICTION USING MACHINE LEARNING
Stock Market Prediction Is Mainly Used For Investors As Well As Researchers For Many Years. It Is Used Based On Its Complex, Volatile And Making It Difficult To Make Reliable Predictions, Regularly Changing In Nature. This Proposed Stock Pr...
MACHINE LEARNING BASED APPROACH FOR PHISHING DETECTION
In Modern Days With Regards To The Significant Growth Of World Wide Web, Phishing Is One Of The Most Usual Web Threats Which Is One Of The Internet Security Problem That Target Only Human Vulnerabilities Rather Than Software. The Online Cus...
SENTIMENTAL ANALYSIS OF POLITICAL TWEETS IN TWITTER USING MACHINE LEARNING ALGORITHM
Sentiment Analysis Is An Area Of Research That Analyzes Opinions, Sentiments, Evaluations, Attitudes, And Emotions From A Written Text. The Feelings And Emotions Of People Have A Key Effect In Our Day By Day Process. Especially Social Media...
RAINFALL PREDICTION USING MACHINE LEARNING
In The Period Of Big Data, Finding An Answer From The Colossal Information Is A Major Test. The Trendy Expression Analytics Which Causes Us In Taking Care Of Such Issues, Data Investigation Is Made Out Of Different Measurable And Explanator...
PREDICTION OF TERRORISM ACTIVITIES USING SUPERVISED MACHINE LEARNING TECHNIQUES
The Purpose Of This Work Is To Predict The Area And Country Of A Terrorist Attack Using Approaches In Machine Learning. The Research Was Carried Out On The Global Terrorism Database (GTD), An Open Database Which Contains A List Of Terrorist...
AN APPROACH FOR FRAUD TRANSACTION DETECTION USING BOOSTING MODEL
Nowadays Digitalization Gaining Popularity Because Of Seamless, Easy And Convenience Use Of Ecommerce. It Became Very Rampant And Easy Mode Of Payment. People Choose Online Payment And E-shopping; Because Of Time Convenience, Transport Conv...