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Runtime And Security Evaluation Of Lightweight Biometric Models For Edge Based Access Control
This Study Presents A Runtime And Security Evaluation Of Lightweight Biometric Models For Edge-based Access Control. The Work Evaluates MobileNetV2 For Face Recognition And EfficientNetB0 For Fingerprint Recognition Within An Edge-aware Acc...
Real-Time Speech Emotion Recognition Using Lightweight Convolutional Neural Network
Speech Emotion Recognition (SER) Allows Machines To Understand Human Emotional States From Their Speech, Enabling Applications In Human-computer Interaction, Call Center Analytics, And Mental Health Monitoring. Traditional Deep CNNs Achieve...
An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data
Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...
FACIAL EXPRESSION RECOGNITION IN CLASSROOMS USING DEEP LEARNING
This Project Builds A System That Checks Student Attention In Real Time. It Uses A Camera Feed To Detect Faces, Track Eyes, And Read Basic Emotions. The System Works With A Single Student Or Many Students At The Same Time. It Also Supports...
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...
Speech Stress Detection In Marathi And SUSAS Databases Using Weight-Optimized Neural Networks
Stress Profoundly Alters Human Cognitive And Physiological States, Making Early And Automated Detection A Critical Technological Goal [1]. This Study Presents A Streamlined Speech Emotion Recognition (SER) System Engineered For Accurate Str...
An Intelligent Multi-Modal Interview Simulation System Using Large Language Models, Automatic Speech Recognition, And Neural Text-to-Speech Synthesis
Preparing For Technical Employment Interviews Is A High-stakes Endeavor That Demands Both Domain Expertise And Practiced Verbal Communication. Conventional Preparation Strategies—textbook Study, Static Question Banks, And Peer Mock Sessions...
LABVIEW-BASED FACE RECOGNITION IN ATTENDANCE TRACKING SYSTEM
Institutional Contexts Have Long Relied On Traditional Attendance Systems That Involve Taking Attendance, Using Roll Call, Paper Sign-in Sheets, And Manual Record Keeping, Which Have All Been Seen As Inefficient. They Are Labor Intensive, S...
Next-Gen ATM Security Combining Facial Recognition And User Consent Via Deep Learning
The Aim Of This Research Is To Improve The Security Of ATMs By Creating ATM Models That Make Use Of Convolutional Neural Networks (CNN) And Recurrent Neural Networks (RNN) For Facial Recognition Of Users And User Approval.Materials And Meth...
Intelligent Virtual Interview Preparation & Skill Evaluation System
The Competitive Employment Landscape Demands Not Only Technical Proficiency From Candidates But Also Confident Communication, Composed Behavior, And Structured Articulation During Interviews. A Significant Proportion Of Job Seekers Underper...
Autonomous Human Violence Detection In Smart Surveillance
Autonomous Human Violence Detection Has Become An Essential Component In Modern Smart Surveillance Systems Due To The Increasing Demand For Public Safety And Automated Monitoring. Traditional Surveillance Methods Rely Heavily On Continuous...
Secure Cardless Withdrawal In ATM
Card-based ATM Authentication Has Been A Primary Target For Skimming, Cloning, And PIN Theft Attacks, Resulting In Billions Of Dollars In Losses For Account Holders And Financial Institutions Every Year. This Paper Presents A Secure Cardles...
DEEP LEARNING-BASED SMART PARKING SYSTEM WITH DUAL AUTHENTICATION USING FACIAL RECOGNITION AND LICENSE PLATE DETECTION
Due To The Fast-paced Development Of Cities And The Rise In The Number Of Cars, Parking Has Become Quite Challenging To Manage. Conventional Parking Systems Depend Mainly On Human Efforts, Tickets, Or Just Basic Sensors. Such Approaches Pro...
AN INTELLIGENT DEEP LEARNING FRAMEWORK FOR SOCIAL MEDIA BOT DETECTION USING TRANSFORMER BASED MODEL
Nowadays, Social Media Platforms Have Emerged As One Of The Primary Modes Of Communication Where Memes And Comments Are Used Extensively For Spreading Ideas, Humor, And Thoughts. This Increasing Trend, However, Has Been Accompanied By The S...
ONLINE VOTING SYSTEM USING FACE RECOGNITION AND OTP (ONE- TIME PASSWORD)
The Main Purpose Of The System Is To Create An Online Voting Portal. This Portal Addresses The Drawbacks Of Manual Voting And Earlier Online Voting Systems Using Facial Recognition And OTP Generation. People Can Vote From Anywhere If They A...