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Papers tagged with "Os"
Deep Fake Detection And Authenticity Verification
Deepfake Technology Threatens Information Integrity By Enabling The Creation Of Highly Realistic Synthetic Media That Can Mislead Viewers, Manipulate Public Opinion, And Compromise Biometric Authentication Systems. Existing Detection Models...
AN INTELLIGENT MULTI-ALGORITHM MACHINE LEARNING SYSTEM FOR SKIN DISEASE CLASSIFICATION AND PREDICTION
This Paper Proposes An Interpretable And Explainable Multi-class Skin Lesion Classification Model For The HAM10000 Dataset. Timely Detection Of Skin Cancer Is Important But Difficult Due To Class Imbalance And Uninterpretability Of Current...
Wearable Non-invasivs Glucose Monitoring Using Optical Sensing
Non-invasive Glucose Monitoring Remains A Critical Challenge In Biomedical Engineering Due To The Complex Interaction Of Light With Biological Tissues And The Weak Specificity Of Glucose-related Optical Signals. This Paper Presents The Desi...
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...
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...
A Study On Postnatal Depression Among Mothers Availing Health Services At Government Kasturba Gandhi Hospital, Triplicane, Chennai District, TamilNadu: A Cross-Sectional Study
Background: Postpartum Depression (PPD) Is A Common Mental Health Disorder Affecting Women Following Childbirth, With Notable Consequences For Both Mother And Child. It Is Characterized By Persistent Sadness, Emotional Instability, Fati...
Effectiveness Of Different Contract Types In Mitigating Owner And Contractor Risks
This Research Investigates How Four Principal Contract Types — Lump Sum, Item Rate, Cost-Plus, And EPC Turnkey — Distribute And Mitigate Risks Between Owners And Contractors Throughout The Entire Project Life Cycle, From Early Concept And D...
An Eco-friendly Approach To Bioplastic Production Using Prosophis Julifloraa Strach
As Syenthetic Orpetroleum Based Plastics Create A Severe Environmental Impact, An Attempt Is Made To Develop Sustainable Bioplastic From The Invasive Plant Species. Starch Extract From The Prosopisjuliflorastarch. Aneco-friendly Bioplastics...
Secure And Scalable Restful Banking System Using Spring Boot Framework
This Project Shows How To Design And Build A Secure, High-performance Online Banking REST API With Spring Boot 3.x. The System Uses A Microservices Architecture To Make It Easier To Scale And Maintain. OAuth 2.0, OpenID Connect, And JWT-bas...
AI-Driven Resume Analysis And Job-Specific Resume Optimization System
This Paper Presents An AI-driven System For Analyzing Resumes And Optimizing Them To Match Specific Job Descriptions. Modern Recruitment Relies Heavily On Applicant Tracking Systems (ATS), Which Filter Candidates Based On Keyword Relevance...
Legal Judgment Prediction System Using Machine Learning
This Research Describes The Design And Implementation Of A Machine Learning-based Legal Judgment Prediction System That Includes Past Case Retrieval And Legal Reasoning Methods. Traditional Legal Research Relies On Manual Case Analysis And...
SAFEHEAVEN – WOMEN SAFETY APPLICATION USING REAL-TIME INTELLIGENT ALERT SYSTEM
Women’s Safety Is A Critical Issue In Modern Society, Especially In Urban And Semi-urban Environments Where Immediate Assistance Is Often Delayed. This Paper Presents SafeHeaven, A Mobile-based Women Safety Application Designed To Provide R...
Digital Asset Discovery For Organization
The Rapid Expansion Of Cloud Computing, APIs, And Third-party Services Has Significantly Increased The Digital Attack Surface Of Modern Organizations. Many Cyber Incidents Occur Due To Unmanaged Or Forgotten Assets Such As Test Servers, Mis...
A Hybrid Deep Learning Model For Detecting Credit Card Fraud Using CNN–BiLSTM With An Attention Mechanism And Focal Loss Optimization
Detecting Credit Card Fraud Is A Complex Task Due To The Significant Imbalance In Data And The Constantly Changing Nature Of Fraudulent Activities. This Research Introduces A Hybrid Deep Learning Model That Combines CNN, BiLSTM, And An Atte...
AUTOMATIC PLATFORM BRIDGE CONNECTOR IN RAILWAYS USING EMBEDDED SYSTEM
The Project “Automatic Platform Bridge Connector In Railways Using Embedded System” Is Designed To Improve Passenger Safety And Operational Efficiency At Railway Stations. The System Utilizes An Arduino Microcontroller To Control A DC Motor...