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Papers tagged with "Feature"
Next-gen Food Computing
This Project Combines An Object Detection System Based On YOLO (You Only Look Once) With A Dietary Recommendation System In A Single Food Detection And Nutritional Information App. The Application Processes Images Taken From The Camera Or V...
Diabetes Detection with Feature Engineering Based Machine Learning Model
Diabetes Can Lead To Other Serious Issues Such As Cardiovascular Diseases, Renal Failure, And Neuropathy And Contribute To Rising Mortality Rates In Diabetic Patients. Considering The Situation, Accurately Predicting Mortality Risks In Diab...
Feature Engineering based malicious URLs detection models using Bi-directional RNN
Threats, Including Phishing, Are Still A Widespread And Growing Problem In Today's Digital Society Because Fraudsters Use Increasingly Complex Techniques To Deceive Users And Gain Illegal Access To Sensitive Information, Effective Phishing...
AI CAR WITH REAL-TIME DETECTION OF DAMAGE ROAD AND LANE DETECTION
The Present Article Proposes The Deep Learning Concept Termed ―Faster-Region Convolutional Neural Network‖ (Faster-RCNN) Technique To Detect Cracks On Road For Autonomous Cars. Feature Extraction, Preprocessing, And Classification...
PHISHING WEBSITE DETECTION USING GAN AND RANDOM FOREST
Cyber Attackers Create Fake Websites For Various Nefarious Purposes, Such As Promoting Their Products, Distributing Malware, Or Stealing Login Credentials Through A Deceitful Tactic Known As Phishing. Phishing Involves Impersonating Legitim...
HYBRID APPROACH FOR CARDIAC ARRYTHMIA USING IOT
Compared To The Single-lead Approach, The 12-lead Electrocardiogram (ECG) Method Can Diagnose More Cardiovascular Diseases; However, Because Multiple Electrodes Need To Be Attached To The Body, It Is Challenging To Utilise In Daily Life. El...
EMOTION DETECTION FROM FACIAL EXPRESSIONS USING CNN AND LSTM FOR ENHANCED ACCESSIBILITY FOR BLIND INDIVIDUALS
Facial Expressions Are A Crucial Component Of Human Communication, Conveying Emotions That Enrich Social Interactions. For Blind Individuals, This Nonverbal Channel Is Inaccessible, Hindering Their Ability To Fully Understand Social Cues. T...
AN NLP APPROACH FOR PRODUCT RATING PREDICTION BASED ON CUSTOMER REVIEWS AND PRODUCT FEATURES
This Examination Tries To Foster A Hearty Prescient Model For Online Item Evaluating Frameworks, Utilizing Progressed AI Strategies. The Raising Meaning Of Client Created Item Audits In Impacting Customer Choices Requires Precise Expectatio...
PLANT IDENTIFICATION AND DISEASE DETECTION
Many Machine Learning (ML) Models Have Been Employed For The Detection And Classification Of Plant Diseases But,Early Detection Of Plant Diseases Is Crucial To Ensure Healthy Crop Growth. Deep Learning (DL), A Powerful Subset Of Machine Lea...
Keyword Extraction Based on Semantic Similarity using Wildcard
Xtracting Keywords Is An Effective Approach For Distilling The Main Content Of A Text. However, Swiftly Extracting Useful Information From Numerous Documents Poses A Challenge. This Paper Introduces A Novel Algorithm For Keyword Extract...
PERSON RE IDENTIFICATION USING CONVOLUTIONAL NEURAL NETWORK
Deep Learning Is A Subset Of Machine Learning, Which Is Essentially A Three-layer Neural Network. These Neural Networks Try To Mimic The Behaviour Of The Human Brain, But They Are Far From Being Able To "learn" From Large Amounts Of Data. T...
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,...
SUICIDAL IDEATION DETECTION FROM SOCIAL MEDIA DATA STREAMS
In The Contemporary Geography Of Online Social Media Platforms, The Current Generation Were So Important Significantly Involved. Traditional Styles Similar As Eye- To- Eye Contact, Though Effective In People Engagement, Frequently Lead To B...
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...
MALWARE WEBSITE DETECTION USING ENSEMBLE MACHINE LEARNING APPROACH
Phishing Websites Remain A Persistent And Significant Threat To Cyber Security Jeopardizing The Confidentiality, Integrity, And Of Sensitive Data For Organizations And Individuals. Despite Significant Efforts In Research And Development, Id...