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Pothole Detection Techniques Using Deep Learning And YOLO
Pothole Detection Is An Essential Task In Road Maintenance And Transportation Safety, As Damaged Roads Contribute Significantly To Vehicle Damage, Accidents, And Economic Loss. Traditional Pothole Detection Methods, Such As Manual Inspectio...
Kidney Stone Detection From Ultrasound Images Using Canny Edge Detection And CNN Classification
Kidney Stone Detection Is A Critical Task In Diagnosing And Managing Urological Disorders. This Project Focuses On Developing A Robust System For Kidney Stone Detection Using Ultrasound Images. The Methodology Integrates Canny Edge Detectio...
A Comprehensive Survey on Image Encryption Employing Chaos and Transform Domain Data Embedding
Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats On...
Leaf Disease Prediction Using Classification in Machine Learning and GUI
In Agriculture, Timely Detection And Classification Of Leaf Diseases Play A Crucial Role In Ensuring Crop Health And Yield Optimization. With The Advent Of Machine Learning (ML) Techniques, Automated Systems Have Emerged As Effective Tools...
ENHANCEDFRAMEWORKFORSECUREIMAGE DENOISING SYSTEM IN CLOUD COMPUTING
Along With The Rapid Advancement Of Digital Image Processing Technology, Image Denoising Remains A Fundamental Task Which Aims To Recover The Original Image From Its Noisy Observation. With The Explosive Growth Of Images On The Internet, On...
PERFORMANCE ENHANCEMENT OF VIDEO SURVEILLANCE IN FORTIFYING BANKING SECURITY THROUGH DARKNET ANALYSIS
This Research Paper Is On The Application Of Non-linear Neural Networks, YOLOv5, Object-detection Framework With The Darknet Architecture To Design A Standout Intelligent Video Image Processing And Monitoring Control System That Increases E...
DEEPFAKE DETECTION USING VISION TRANSFORMERS
This Project Focuses On Leveraging Transformer-based Architectures For The Detection And Segmentation Of Deep Fake Content."Deepfake Detection And Segmentation Using Transformers" Proposes A Novel Approach Leveraging Transformer-based Archi...
BRAIN TUMOUR DETECTION AND CLASSIFICATION USING CONVOLUTION NEURAL NETWORK
In This Modern Day’s Presence Of Cancer Is The Major Problem In Medical Field. Especially Brain Tumour Because Growth Of Brain Tumour Can’t Be Identified Until It Reaches Its Severe Stages. It Causes Major Damages And Tends To Death. So Her...
DRUGGED EYE DETECTION USING IMAGE PROCESSING
The Project Has Entitled As “DRUGGED EYE DETECTION USING IMAGE PROCESSING”, And Developed By Using Python As Front End. Drugs Are A Major Problem In Economic And Many Losses In Worldwide. In This Project, Introduces An Innovative Approach U...
PLANT DISEASE CLASSIFICATION USING MACHINE LEARNING AND CNN
The Goal Of The Improvisational Capability Program Is To Introduce The Fundamentals Of Improvisation Mainly With Entrepreneur In Order To Promote Innovative Thinking And Teamwork, Enhance Performance Abilities, And Boost Team Effectiveness....
BRAIN TUMOR CLASSIFICATION USING MACHINE LEARNING
A Brain Tumour Is Formed By A Gradual Addition Of Abnormal Cells, And This Is One Of The Major Causes Of Death Among Other Sorts Of Cancers. It Is Necessary To Classify Brain Tumor Using Magnetic Resonance I...
FACE RECOGNITION BASED ATTENDANCE MONITORING SYSTEM
The Face Recognition Base Attendance Monitoring System(FRAMS) Is A Novel Approach To Automating The Attendance Tracking Process In Various Settings Such As Educational Institutions, Corporate Offices, And Other Organizations. Traditional Me...
ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING: A DETAILED REVIEW.
In Recent Years, AI And Medical Imaging Coming Together Have Made Big Changes In Healthcare. This Survey Paper, Called " Artificial Intelligence In Medical Imaging: A Detailed Review," Explores How AI Is Used In Medical Imaging. It Looks At...
A SURVEY ON PLANT DISEASE PREDICTION
Rice Is The Main Crop For Over 50% Of The Global Population.generally Known As Rice. However, A Number Of Illnesses Frequently Impact Paddy Farming, Which Can Result In Severe Yield Losses. We Used A Meta Analysis Methodology To Create A Re...
AN IMAGE PROCESSING AND NEURAL NETWORK APPROACH FOR GLAUCOMA IDENTIFICATION
Glaucoma Is A Chronic Eye Disease, Where A Loss Of Vision Occurs As A Result Of Progressive Optic Nerve And Astrocytes Damage Caused By High Intraocular Pressure (IOP). It Is The Second Major Cause Of Visual Impairment And Blindness Worldwi...