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Papers tagged with "Feature"
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
Defect Detection In Printed Board Circuit Using Image Processing
A Printed Circuit Board Without Connecting With Any Components Called As A Bare PCB. Consider A PCB As A Basic Part Which Has Been Settled With More Electronic Units. In Order To Display The Manufacturing Process, The Drawbacks Have Been Ta...
A Review On Machine Learning And Deep Learning Models For Pest Detection For Precision Agriculture Applications
Agriculture Constantly Faces Various Challenges Including Attacks From New Pests And Insects. Often, With Large Farm Sizes And Plummeting Manpower In The Agricultural Sector, It Becomes Challenging To Continuously Monitor Crops For Pest Inf...
ADVANCING SPEECH EMOTION RECOGNITION VIA SEMANTIC AND PARALINGUISTIC FEATURE FUSION
Speech Emotion Recognition Is An Essential Component For Applications Like Education And Human-computer Interaction [1]. While Deep Neural Networks (DNNs) Have Advanced The Field, Many Studies Ignore The Semantic Information Present Within...
TRUTHLENS: AI-POWERED DEEPFAKE DETECTION USING DEEP LEARNING AND MEDIA FEATURE ANALYSIS
The Rapid Advancement Of Artificial Intelligence Has Made It Possible To Generate Highly Convincing Manipulated Media, Commonly Referred To As Deepfakes. These Synthetic Videos And Audio Recordings Pose A Serious Threat To Information Integ...
AIML-Based Quality Assurance System For Agricultural Products Using Tensorflow
Agricultural Product Quality Assessment Plays A Critical Role In The Global Food Supply Chain, Directly Impacting Market Pricing, Consumer Safety, And Post-harvest Optimization. Traditional Methods Rely Heavily On Human Vision And Manual So...
AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS
Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...
AI-Driven Malicious URL Detection Using Machine Learning, Deep Learning, And Secure Full-Stack Web Integration With CI/CD Pipeline
The Pervasive Adoption Of Digital Platforms Has Precipitated A Concomitant Escalation In Phishing Attacks, Wherein Malicious Uniform Resource Locators (URLs) Serve As The Primary Vector For Credential Theft, Financial Fraud, And Malware Dis...
HealMind AI: An Artificial Intelligence-Based Stress Detection And Support Platform
The Modern Mental Health Management Tools Need Something More Sensitive To The Actual Condition Of A Person, Beyond What They Are Willing To Disclose Via Their Communication With The System. The Currently Existing Solutions, Like Wysa And W...
DeepScan AI: A Multi-Layer Heuristic Framework For AI-Generated Image Detection
The Proliferation Of AI-generated Images Poses Pressing Threats To Information Integrity, Cybersecurity, And Public Trust. This Paper Presents DeepScan AI, A Multi-layer, Heuristic-driven Image Authenticity Verification System Engineered Wi...
Data Leakage Detection And Intelligent Data Preprocessing System
Data Leakage Is One Of The Most Critical Challenges In Machine Learning Systems, Leading To Unrealistic Model Performance And Poor Generalization In Real-world Applications. Leakage Occurs When Information From Outside The Training Dataset...
Multimodal Fake News Detection Using DistilBERT And Xception Convolutional Neural Network
The Rapid Proliferation Of Misinformation Across Digital Platforms Poses A Growing Threat To Public Discourse, Democratic Processes, And Societal Trust. Traditional Fake News Detection Approaches Rely Exclusively On Textual Analysis, Failin...
Driver Drowsiness Detection Using Machine Learning
Driver Drowsiness Is One Of The Leading Causes Of Road Accidents Worldwide, Posing A Significant Threat To Human Life And Road Safety. This Paper Presents A Real-time Driver Drowsiness Detection System Employing Convolutional Neural Network...
Face Identification In Movie Footage
Face Identification And Object Detection In Movie Footage Present Significant Challenges Owing To The Dynamic Nature Of Video Content, Complex Scene Transitions, Rapid Movements, And Occlusions. Existing Systems That Apply Image-based Algor...
E-Voting Using Face Recognition
This Paper Presents The Design And Implementation Of An E-Voting System Using Face Recognition Technology. The Proposed System Addresses Key Challenges In Traditional Voting Methods, Including Voter Impersonation, Manual Errors, And Slow Vo...