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Papers tagged with "Network"
PRECISION WEED IDENTIFICATION IN GROUNDNUT CROPS USING IMAGE PROCESSING TECHNIQUES
Weed Infestation Is One Of The Major Problems Affecting Crop Growth And Reducing Agricultural Productivity In Groundnut Cultivation. Early Identification And Management Of Weeds Are Essential To Improve Crop Yield. In This Study, An Image-b...
Automatic Image Captioning System Using CNN-LSTM: A Deep Learning Approach
Automatic Image Captioning Is A Challenging Task At The Intersection Of Computer Vision And Natural Language Processing That Involves Generating Semantically Meaningful Textual Descriptions From Visual Input. This Paper Presents A Deep Lear...
HYBRID MACHINE LEARNING AND DEEP LEARNING-BASED VPN NETWORK TRAFFIC ANOMALY DETECTION SYSTEM
The Rapid Growth Of Internet Usage And The Widespread Adoption Of Virtual Private Networks (VPNs) Have Significantly Enhanced Secure Communication, But Have Also Introduced New Challenges In Detecting Cyber Threats Hidden Within Encrypted T...
Leveraging Machine Learning Based Channel Estimation For Security Of Software Defined Networks
Conventional Computer Networks Have Undergone A Paradigm Shift In Terms Of The Advent Of Wireless Pervasive Networks Such As IoT And Fog Networks. The Ease Of Mobility And Adaptive Configuration Enables Significant Ease Of Deployment And Us...
Design And Implementation Of Deep Learning Based MIMO Systems For Wireless Networks
Present Day Communication Systems Are Facing Some Critical Issues Which Are Increased Number Of Users, The Amount Of Bandwidth Availability To Be Used By The Users And The Need For Ever Increasing Data Rates. The Major Concern Regarding All...
Multi-Feature Search–Based Purchasing Tendency Community Classification For Densely Distributed Clients In E-commerce
Purchasing Tendency Is Defined As Customer Prefer-ences For Products And Brands, Interested In Price And Frequency Of Purchase, And Is Determined By Demographic, Transactional And Behavioral Attributes. In Today’s E-commerce, These Insights...
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...
AI-Driven Banking Security Monitoring System
Banking Environments Consistently Rank Among The Most Security-critical Operational Domains, Where Institutions Must Safeguard Financial Assets, Sensitive Customer Information, And Personnel Against Theft, Fraud, And Unauthorized Access. Em...
HIGH ACCURACY LIGHTWEIGHT IMAGE CLASSIFICATION USING AN IMPROVED YOLO AND VGG16
Waste Classification Plays A Crucial Role In Sustainable Waste Management By Categorizing Materials Based On Their Type To Ensure Proper Disposal And Recycling. Traditional Waste Sorting Methods, Which Rely Heavily On Manual Labor, Are Time...
Wifi Deauthendication Detector
This Paper Presents A Low-cost Wi-Fi Security Monitoring System Designed To Detect Deauthentication Attacks In Real Time Using The ESP8266 NodeMCU Microcontroller. The Increasing Reliance On Wireless Networks Has Made Network Security An Ur...
AN AI-BASED HUMAN SCENE UNDERSTANDING MECHANISM FOR IMAGE CAPTIONING IN BLIND NAVIGATION AND ASSISTANCE
Visual Impairment Greatly Affects The Navigation And Interaction With The Surrounding Environment. Conventional Assistive Tools Are Generally Unintelligent, While Existing Digital Tools Are Generally Task-specific, Computationally Inefficie...
SMART MULTI-RESTAURANT FOOD ORDERING AND DELIVERY SYSTEM
The Smart Multi-Restaurant Food Ordering And Delivery System Is An Advanced Food Delivery Platform Built To Overcome The Limitations Of Traditional Single-restaurant Ordering Applications. The System Allows Users To Order From Multiple Rest...
BLOOD GROUP DETECTION USING FINGERPRINT
Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...
VISION-DRIVEN FRAMEWORK FOR STUDENT IDENTITY VERIFICATION USING FACE AS HALL TICKET IN MODERN EXAMINATION SYSTEMS
Student Authentication During Examinations Has Emerged As A Critical Challenge In Modern Academic Environments Due To The Rising Incidence Of Impersonation, Identity Fraud, And Unethical Examination Practices. Conventional Verification Meth...
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...