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Papers tagged with "Convolution"
DEEP LEARNING CLASSIFICATION OF OPTICAL COHERENCE TOMOGRAPHY RETINAL IMAGES
This Study Presents A Deep Learning Approach For The Classification Of Optical Coherence Tomography (OCT) Retinal Images To Identify Various Retinal Diseases, Including Acrima, Cataract, Glaucoma, And Normal Retina, Utilizing The ResNet-50...
SKIN CANCER DETECTION USING EFFICIENT NEURAL NETWORK AND DEEP LEARNING
Skin Cancer Is Considered As One Of The Most Dangerous Types Of Cancers And There Is A Drastic Increase In The Rate Of Deaths Due To Lack Of Knowledge On The Symptoms And Their Prevention. Skin Cancer Is A Significant Public Health Concern,...
LUNG CANCER DETECTION AND SEMANTIC SEGMENTATION USING VGG U-NET ARCHITECTURE
Lung Cancer Is One Of The Most Fatal Cancers Worldwide, And Malignant Tumors Are Characterized By The Growth Of Abnormal Cells In The Tissues Of Lungs. Usually, Symptoms Of Lung Cancer Do Not Appear Until It Is Already At An Advanced Stage....
WILD ANIMAL ALERT SYSTEM USING DEEP LEARNING
Monitoring Wild Animals In Their Natural Habitat Are Critical. In This Project, An Algorithm Is Created To Identify Animals In The Outdoors. Since There Are So Many Different Kinds Of Animals, Manually Recognizing Them Might Be Challenging....
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....
PATROLLING ROBOT USING DEEP LEARNING AND RASPBERRY PI
The Patrolling Robot With Weapon Detection Project Aims To Improve Security And Surveillance Capabilities By Employing An Autonomous Robot Equipped With Advanced Technologies. This Robot Is Designed To Patrol An Area Autonomously While Cons...
ML BASED WASTE SEGREGATOR
The Rise In Human Population And Urbanization Has Led To A Growing Amount Of Waste. In Urban Areas, Overflowing Bins Lead To Unsanitary Conditions. As A Result, The Environment Deteriorates, And To Address This Issue, The "ML Based Waste Se...
FACIAL EYE RECOGNITION FOR PHYSICALLY CHALLENGED PERSON USING DEEP LEARNING
Facial Eye Recognition For Physically Challenged Persons Using Deep Learning Is A Pioneering Research Project That Leverages Cutting-edge Deep Learning Techniques To Empower Individuals With Physical Disabilities. This Innovative System Aim...
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...
DETECTION OF ELECTRICITY THEFT IN SMART METER USING CONVOLUTIONAL NEURAL NETWORK
Energy Theft Constitutes A Major Concern For The Utility Operators In These Modern Smart Homes. The Task Of Detecting And Reducing The Energy Losses Has Been Highly Challenging Due To Insufficient Inspection Techniques. Energy Distribution...
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...
PLANT LEAF DISEASE DETECTION AND AUTOMATIC PESTICIDE SUGGESTION USING IMAGE PROCESSING AND CNN
Crop Disease Diagnosis Is Very Crucial Task For Every Farmer And Individual In Order To Prevent Various Losses Like Less Productivity, Less Quality And Quantity Or It Can Also Lead To Defective Yield. Therefore Early Identification And Earl...
IDENTIFICATION OF MEDICINAL PLANTS BY IMAGE PROCESSING OF LEAF SAMPLES
Creating An Automated System For Classifying Medicinal Plants Takes Time And Effort. India Is Home To A Wide Variety Of Plant Species, Each Of Which Has A Unique Set Of Therapeutic Benefits. Humans Find It Challenging To Recall The Names Of...
MONITORING NUTRITIONAL DEFICIENCIES IN PLANTS USING IOT
The Term "nutrition" Refers To A Soil's Ingrain Capability To Give Nutrients To Shops In Sufficient Amounts And In The Right Proportions. The Term" Nutrition" Refers To The Series Of Connected Processes Through Which A Living Thing Assimila...
AN EXPERIMENTAL BASED TOMATO CLASSIFICATION USING DEEP LEARNING ALGORITHM
Agriculture Plays A Vital Role In The Economy Of Any Country, And Tomato Farming Is One Of The Most Profitable Crop Productions In The World. Tomatoes Are One Of The Most Extensively Consumed Vegetables Globally And Are Used In The Food Ind...