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Papers tagged with "Classification"
Intrusion Detection System with Machine Learning Approach: A Survey
In Recent Decades, Information Networks' Accelerated Growth Has Culminated In A Slew Of Protection Concerns, Including Computer And Network Intrusions. Intrusion Detection Systems (IDS) Are A Form Of Intrusion Detection System That IDSs Pro...
TREE LEAVES BASED DISEASE PREDICTION USING DATA MINING APPROACHES
Agricultural Productivity Is Something On Which Economy Highly Depends. This Is The One Of The Reasons That Disease Detection In Plants Plays An Important Role In Agriculture Field, As Having Disease In Plants Are Quite Natural. If Proper C...
AUTOMATIC DETECTION METHOD OF BIRDS NEST ON TRANSMISSION LINE TOWER
In This Paper,we Advocate That The Bird Disruption To Transmission Line Tower Is Becoming More Frequent As The Number Of High-voltage Transmission Lines Increases. On Transmission Line Tower, Some Birds Build Their Nests. The Birds' Nests S...
TEXT DATA CLASSIFICATION USING DEEP LEARNING LONG SHORT-TERM MEMORY NETWORK
Studies Show That A Long Short-Term Memory (LSTM) Recurrent Neural Network Can Be Used For Text Classification. The Strength Of The LSTM Is That It Can Capture Information In Any Part Of The Document. It Also Allows The Model To Account For...
EXTREME LEARNING MACHINE BASED APPROACHES FOR IMBALANCED DATA PROBLEM
There Have Been Significant Developments In Recent Years And Changes In The Classification Of Data Have Been Made. The Class Imbalance Problem In Data Mining Is Now The Biggest. The Problem Of Imbalance Arises Where One Of The Two Classes H...
TRAFFIC LIGHT CLASSIFICATION USING YOLO DETECTION
The Aim Of This Research Paper Is To Classify The Traffic Lights On The Road To Guide The Self Driving Car. Using Yolo (You Only Look Once) Object Detection Which Has Higher Speed And Relatively Accurate. Analyzing Objects And Figuring Out...
PERFORMANCE ANALYSIS OF ANN FOR APPAREL CLASSIFICATION APPLICATION OF COMPUTER VISION
Apparel Classification Is An Approach Of Classifying Apparel From A Given Image Using Artificial Neural Networks (ANNs) Which Has Been Proven To Perform Remarkably Well In field Of Image Recognition. Proposed Model Shows Impressive Results O...
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,...
OBJECT DETECTION AND CLASSIFICATION USING DEEP NEURAL NETWORK FOR BLIND PEOPLE
Object Detection Primarily Deals With Identification Of Objects That Is Present In Real World Such As People, Animals And Objects Of Suspense Or Threatening Objects. Object Detection Algorithms Use A Good Vary Of Image Processing Applicatio...
FAKE NEWS DETECTION USING TRAINED DATASETS
This Paper Explores The Application Of Natural Language Processing Techniques For The Detection Of 'fake News', That Is, Misleading News Stories That Come From Non-reputable Sources. Using A Dataset Obtained From Signal Media And A List...
CONVOLUTIONAL NEURAL NETWORK BASED GENDER CLASSIFICATION FROM FACIAL IMAGES
Gender Classification Has Become Applicable To A Huge Amount Of Demand In The Area Of Human And Computer Interactions. Human Gender Is Become The Interested Field In The Research Area. For Each Intelligent Applications, Machine Learning Bec...
SSA BASED SPECTRUM ANALYSIS TIME SERIES CLASSIFICATION
SSA Is A Non-parametric Spectral Measurement Approach That Used Several Practical Problems To Combine Elements Of Classical Time And Subdivision Statistics Observation And Study Of One And More Outcome Variables.ssa. SSA Describes Met...
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...
BRAIN TUMOR DETECTION USING MACHINE LEARNING
Brain Cancer Is Caused By The Population Of Abnormal Cells Called Glial Cells That Takes Place In The Brain. Over The Years, The Number Of Patients Who Have Brain Cancer Is Increasing With Respect To The Aging Population, Is A Worldwide Hea...
A NEW APPROACH FOR SMART HEALTH PREDICTION USING DATA MINING TECHNIQUES
Data Mining Is One Of The Most Propelling Territories Of Research That Is Gotten Progressively Well Known In Health Association. Health Care Industry Creates A Lot Of Complex Data About Patients, Emergency Clinics Assets, Ailments, Finding...