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Papers tagged with "Fea"
Advanced Detection Of Breast Cancer Through Machine Learning : A Comprehensive Investigation
Breast Cancer Is One Of The Most Widespread And Deadly Types Of Cancer. Early And Accurate Diagnosis Of Breast Cancer Improves The Chances Of Survival And Also The Treatment. Breast Cancer Is Detectable Very Early With ML Techniques That Ar...
AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
Detection Of Suicidal Ideation From Social Media Posts Using BERT And LSTM Models
Twitter And Facebook Are The Most Popular And Commonly Used Social Media Platforms Among People Of All Ages When Textually Expressing Their State Of Mind Or Emotions. Some Of These Emotions And Thoughts Are From People Who Are Suicidal. Sui...
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...
Modification of piston and hydraulic system using taguchi response surface optimization
A Hydraulic Cylinder Is A Mechanical Actuator That Uses Pressurized Hydraulic Fluid To Generate Linear Force Or Motion. It Consists Of A Cylindrical Barrel, A Piston That Moves Back And Forth Within The Barrel, And Hydraulic Fluid Which Is...
Optimization of the response surface of tube-flange welded joints subjected to torsional loading
The Environmental Factors Influencing Weld Joints Are Difficult To Control But Geometric Dimensions Affecting The Strength Of Weld Joints Can Be Optimized. The Three Geometric Optimization Parameters Are H, α, And T. This Optimization Techn...
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...