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Papers tagged with "Two"
VisionAssist: A Neural Network-Based Companion For The Visually Impaired
This Study Introduces VisionAssist, A Neural Network-based Companion That Helps People Who Cannot See Well. It Uses Smart Technology To Understand The Environment And Provide Real-time Information. VisionAssist Uses Special Computer Learnin...
AQI Index Analyzer Using Machine Learning
Air Quality Index AQI Prediction Is A Critical Public Health Task That Involves Leveraging Data-driven Methods To Forecast Pollutant Concentrations And The Resulting AQI Under Dynamic Environmental And Meteorological Conditions1. This R...
IoT Scanner For Securing Connected Assets In Smart Systems
The Rapid Rise Of Smart Infrastructure Has Brought With It A Surge In Connected IoT Devices Across Offices, Industries, And Public Spaces. This Connectivity Improves Efficiency, But It Also Widens The Door For Misuse, Cyberattacks, And Over...
Advanced Secure Wireless Communication For Smart Industries
The Project Titled “Advanced Secure Wireless Communication For Smart Industries” Focuses On Developing A Reliable And Secure Wireless Control System For Industrial Automation Using The Raspberry Pi Pico W. In Modern Industries, Remote Monit...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
AI-Based Career Path Recommendation System
In The Modern World, Students And Professionals Often Face Difficulty Identifying Suitable Career Paths Aligned With Their Academic Performance, Technical Skills, And Personal Interests. This Paper Presents An AI-Based Career Path Recommend...
Building A Real Time Phishing URL Detector
In Today’s Digital Era, Online Users Are Frequently Targeted By Deceptive Websites Designed To Steal Personal Credentials, Financial Data, And Sensitive Information. This Paper Presents Phishing Detector, An Intelligent Phishing Detection S...
The Role Of Image Recognition In Modern Archaeology
This Study Presents An Intelligent AI-based Image Recognition System Designed To Assist Archaeologists In The Identification And Classification Of Artifacts From Excavation Sites And Museum Archives. Traditional Archaeological Analysis Is T...
Leveraging Q-Learning For Proactive Security Against Adversarial Band Jamming In Wireless Networks
Wireless Networks Are Being Used In Several Applications These Days Such As Large Scale Industries, Chemical Plants, Underground Mines, Disaster Management, Military And Defense Etc. However, Due To The Large Scale Of The Network And Wirele...
Leveraging Machine Learning Based Regression Analysis To Estimate Customer Churn
Data Science And Machine Learning Are Being Used Extensively For Business Analytics. One Of The Major Applications Happens To Be Estimating Churn And Attrition Rates. In Today’s Competitive Market Landscape, Retaining Customers Is As Crucia...
TOPOLOGY USING NS2 AND CISCO PACKET TRACER
The Star Topology Is A Fundamental Network Architecture Widely Adopted For Its Simplicity, Centralized Management, And Ease Of Troubleshooting. In This Paper, We Present A Comprehensive Simulation And Analysis Of The Star Topology Using NS2...
A Review On Machine Learning And Deep Learning Models For Predicting Workload In Cloud Platforms
Cloud Computing Has Become The Backbone Of Modern IT Infrastructure, Enabling Elastic Resource Provisioning And Pay-as-you-go Models. As Enterprises Migrate More Workloads To The Cloud, The Challenge Of Predicting Workload Demand And Managi...
Early Detection Of Kidney Cancer Using Machine Learning-Based Predictive Modeling
Kidney Cancer Remains A Serious Health Threat Worldwide, With Many Cases Undetected Until Reaching Advanced Stages, Leading To Reduced Survival Rates. Factors Like Limited Awareness And Insufficient Diagnostic Resources Contribute To High M...
A Review On Machine Learning Based Models For Identifying Potential Adversarial And Poisoning Attacks
Machine Learning (ML) Has Revolutionized Data-driven Decision-making Across Sectors Such As Healthcare, Finance, Defense, And Cybersecurity. However, As Its Influence Grows, So Does Its Vulnerability To Adversarial And Poisoning Attacks. Ad...
A Comprehensive Review On Machine Learning Based Techniques For Crop Blight Detection
Plant Diseases Like Early And Late Blight Must Be Promptly Identified, And This Requires Automated Blight Detection. These Illnesses Have The Potential To Spread Quickly And Seriously Harm Crops. By Taking Timely And Focused Action To Limit...