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Papers tagged with "Convolution"
SMART DETECTION FOR VIOLATION OF TRAFFIC RULES USING YOLOV5
In The Trending Fast Pace Lifestyle, We All Are Moving And Tend To Be Moving Faster. However, Moving Faster Has Its Own Limitation And Advantages Too. In The Case Of Vehicles, Road Accidents Are More Common Due To Fast Travelling. During Th...
IRIS LIVENESS DETECTION USING MOBILENETV2
A New Iris Liveness Detection Technique For Iris Based On Quality Related Measures Is Presented. The Novel Anti-spoofing Technique Is Tested On A Database Comprising Over 1,600 Real And Fake (high Quality Printed Images) Iris Samples Provin...
STUDY AND COMPARE MACHINE LEARNING TECHNIQUES USING MEDICAL IMAGE
Brain Tumours Are Dangerous And Serious Disorders Affected By Uncontrolled Cell Growth In The Brain. Brain Tumours Are One Of The Most Challenging Diseases To Cure Among The Different Ailments Encountered In Medical Study. Early Classificat...
Optimized gene selection and classification of disease from genes data using machine learning.
Cancer Is The Major Leading Reason Of Death Around The World. However, The Early Identification And Prediction Of A Cancer Type Is Very Critical For Patient’s Health. The Classification Of Cancer’s Genes Data From Different Types Of Disease...
CNN BASED OBJECT RECOGNITION &TRACKING SYSTEM TO ASSIST VISUALLY IMPAIRED PEOPLE
Having Good Vision Is A Wonderful Gift, Yet It Is Disheartening That More And More People Are Experiencing Vision Loss These Days. To Assist Visually Impaired Individuals, The Visual World Can Be Transformed Into An Audio World That Can Pro...
VIRTUAL MOUSE USING HAND GESTURE RECOGNITION
Researchers From Each Over The World Are Working To Make Our Bias More Interactive And To Make Them Work With Minimum Physical Contact. In This Study, We Suggest An Interactive Computer System That Can Serve Without The Operation Of A Keybo...
PERFORMANCE EVALUATION ON SUSPICIOUS ACTIVITY DETECTION USING CNN
This Paper Presents A Study On The Performance Evolution Of Suspicious Activity Detection Using Convolutional Neural Networks (CNNs). The Study Focuses On The Application Of CNNs In Detecting Suspicious Activity In Video Surveillance System...
PATTERN RECOGNITION ALGORITHM TO IDENTIFY MARINE ANIMAL USING YOLO ALGORITHM
You Only Look Once (YOLO) Is An Algorithm Which Scans The Image Only Once And As The Name Derives You Look Only Once. YOLO Works By Dividing An Image Into A Grid Of Cells And Identifying The Presence And Position Of Objects With The Given I...
IMAGE CAPTION GENERATOR USING CNN ALGORITHM
An Image Caption Generator Is A Type Of Machine Learning Model That Is Capable Of Producing Natural Language Descriptions Of Images Or Videos. This Technology Has Become Increasingly Popular In Recent Years Due To Its Ability To Make Visual...
AUTOMATIC MUSIC RECOMMENDATION BASED ON FACIAL EXPRESSION USING MACHINE LEARNING ALGORITHM
We Propose A New Approach To Automatically Play Music Using Facial Emotions. Most Existing Approaches Involve Manually Playing Music Using Wearables, Computing Devices, Or Classifications Based On Audio Capabilities. Instead, I Recommend Ch...
PREDICTION OF PASSENGER FLOW IN PUBLIC RAILWAY TRANSPORTATION
Predicting Passenger Flow In Public Railway Transportation Is A Complex Task That Involves Analysing Various Factors, Such As The Time Of Day, The Day Of The Week, And The Season, As Well As Special Events And Holidays That May Affect Trave...
CLASS MANAGEMENT SYSTEM USING BIOMETRIC TECHNOLOGY BASED ON WEB APPLICATION
Biometric Traits Such As Fingerprint, Retina Scan, And Palm-prints Are Used To Identify A Person At Attendance Monitoring, Banking, Passport, Travel, And Many Other Applications. This Class Management System Is Used To Store The Class Timet...
tomato leaf disease detection using convolutional neural network
Tomato Leaf Disease Is A Serious Issue That Can Cause Significant Yield Loss And Affect The Quality Of The Crop. In Recent Years, Deep Learning Techniques Have Been Applied To Detect Plant Diseases Using Images Of Affected Leaves. This Stud...
APPLYING RESIDUAL CONVOLUTIONAL NEURAL NETWORKS (RESNET) FOR AUTOMATED DETECTION OF LEUKAEMIA
The Present Work Proposes A Technique For Blood Cancer (leukemia) Classification Based On Machine Learning. Manual Classification Of Blood Cancer Is Very Challenging And Prone To Errors And Therefore Machine Learning Approaches Are Employed...
FACIAL EMOTION DETECTION USING CONVOLUTIONAL NEURAL NETWORKS
Recognizing Human Emotions Is Crucial To Interpersonal Relationships. One Of The Most Potent And Difficult Social Communication Research Tasks Is Emotion Identification From An Image. Since The Beginning Of Time, Researchers Have Been Inter...