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Papers tagged with "Machine"
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...
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...
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...
DIFFERENTIALLY PRIVATE SAFE BROWSING: AES-ENCRYPTED USER DATA FOR REAL-TIME PHISHING DETECTION
With The Rise In Internet Usage, The Dangers Brought About By Malicious URLs And Phishing Websites Have Also Escalated, Thus The Need For Internet Security Becoming Paramount. Existing Solutions To Detect Malicious URL/website Include The B...
Intelligent Sql Injection Detection Using CSSGL
SQL Injection Remains One Of The Most Critical Security Threats To Web Applications, Enabling Attackers To Manipulate Database Queries And Gain Unauthorized Access To Sensitive Information. Traditional Detection Methods Often Fail To Identi...
DESIGN OF UART-TRANSMITTER USING FSM IN VERILOG HDL
This Project Presents The Design And Implementation Of A UART (Universal Asynchronous Receiver/Transmitter) Transmitter Using A Finite State Machine (FSM) In Verilog HDL. UART Is A Widely Used Serial Communication Protocol That Enables Data...
Real-Time Indian Sign Language (ISL) Recognition And Multilingual Translation System Using Deep Learning And Natural Language Processing
Artificial Intelligence (AI) Has Become A Powerful Tool In Developing Assistive Technologies That Improve Accessibility For Individuals With Disabilities. Among These, Hearing And Speech-impaired Individuals Face Significant Challenges In C...
AI-Based Online Interview Behavioral Analysis: An AI-Driven Approach To Proctoring And Integrity Verification
The Rapid Proliferation Of Remote Work Culture And Digitally-driven Recruitment Ecosystems Has Fundamentally Reshaped How Organizations Identify And Evaluate Talent. Online Interviews Have Emerged As The Dominant Mode Of Candidate Assessmen...
Crowdsourced Civic Issue Reporting And Resolution: A Digital Platform For Transparent Urban Governance
Urban Municipal Infrastructure In India Faces A Lot Of Issues Such As Potholes, Improper Water Management, Broken Streetlights, Water Leakage And Drainage Blockages. The Major Challenge That We Are Facing In This Modern Era Is That The Auth...
AI-Powered Inventory Management System- Ezze Buy
This Paper Presents The Design, Architecture, And Full-stack Implementation Of EzzeBuy, A Web-based AI-powered Inventory Management And Sales Prediction Platform. The System Integrates A Long Short-Term Memory (LSTM) Neural Network Backend...
A MACHINE LEARNING BASED CLASSIFICATION AND PREDICTION TECHNIQUES FOR DDOS ATTACKS
Distributed Denial-of-Service (DDoS) Attacks Represent A Significant Threat In Contemporary Network Security, Compromising The Availability And Integrity Of Services Across Diverse Platforms. These Attacks Overwhelm Target Networks With Sub...
Inductive Based Industrial Automation
Unanticipated Machinery Failures In Industrial Environments, Arising From Overheating, Excessive Vibration, Electrical Faults, Or Fire, Can Result In Severe Equipment Damage, Operational Downtime, And Safety Hazards. This Study Presents A N...
AI-Based Supply Chain Risk Prediction System Using Machine Learning
Supply Chain Systems Are Highly Vulnerable To Disruptions Caused By Factors Such As Transportation Delays, Traffic Congestion, Weather Conditions, And Inventory Fluctuations. Traditional Risk Assessment Methods Are Largely Manual, Time-cons...
INTERPRETABLE AI-BASED RESOURCE ALLOCATION FOR VIRTUAL MACHINES IN CLOUD PLATFORMS
Cloud Computing Environments Require Efficient Storage Allocation Mechanisms To Handle The Rapid Growth Of Data While Maintaining Performance And Scalability. This Research Emphasizes Intelligent Storage Management As A Core Component By In...
Cyberbullying Detection And Prevention In Social Networks
The Rapid Growth Of Social Media Platforms Has Significantly Increased The Spread Of Harmful Online Content, Including Cyberbullying And Hate Speech. These Forms Of Communication Negatively Impact Individuals And Communities, Often Leading...