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BRAIN AUTISM SEGMENTATION USING CONVOLUTIONAL NEURAL NETWORKS IN MRI IMAGES INTERFACE
Functional Magnetic Resonance Imaging Or Functional AUTISM (AUTISM) Is A Functional Neuro Imaging Procedure Using Autism Technology That Measures Brain Activity By Detecting Associated Changes In Blood Flow, Uses The Blood-oxygen-lev...
RECOGNIZING, ANALYSING, AND RECOVERING DIGITALLY ALTERED IMAGE AND REPLACING WITH ORIGINAL IMAGE
Digital Images Are Susceptible To A Range Of Vulnerabilities And Threats That Can Compromise Security And Privacy In Online Social Networking Sites. Image Tampering Attacks Involve The Unauthorized Or Deceptive Alteration Of Digital Images,...
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...
CLASSIFICATION OF CARDIOVASCULAR COMPLICATIONS IN A DIABETES PREDICTION MODEL USING HYBRID NEURAL NETWORK ALGORITHMS
Diabetes And Heart Diseases Are Widespread Health Issues Around The World. The Prevalence Of Heart Disease Varies By Region, But It Affects People Of All Ages, Genders, And Backgrounds. The Main Risk Factors For Heart Disease Include High B...
SMART SENIOR CITIZEN FACIAL EMOTION ANALYSIS WITH ROBOTIC BOT ASSISTANT
One Of The Primary Drivers Of The Activity Recognition Study Is Thought To Be The Challenges Encountered By Elderly Individuals Who Live Freely. The Majority Of People Will Experience Loneliness If No One Is Around To Look After Them. The D...
ADVANCE DEEP LEARNING BASED CHATBOT BUILT USING NATURAL LANGUAGE PROCESSING AND KERAS NEURAL NETWORK
In Our Modern Lifestyle Technologies Such As Smartphone, Online Shopping, Home Automation Makes Our Life More Convenient, Allowing Us To Save Time And Energy. The Internet Has Made Information Easily Accessible, Providing Access To Knowledg...
A SURVEY ON TRAFFIC FLOW PREDICTION BY USING ARTIFICIAL INTELLIGENCE
This Paper Represents A Novel Design And Control Nowadays Traffic Flow Is Major Problem. Approximately 1.3 Million People Die Each Year Because Of Accidents According To WHO In 2022. Knowing How Traffic Will Move Is Important For Managing T...
DEEPFAKE DETECTION USING DEEP LEARNING
In Recent Years, The Emergence And Rapid Evolution Of Deepfake Technology Have Sparked Significant Interest And Concern Across Various Sectors. Deepfakes, A Portmanteau Of "deep Learning" And "fake," Refer To Synthetic Media Created Using S...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
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...