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Papers tagged with "Der"
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...
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...
MediTrust: An AI-Based Medical Fund Verification System For Fraud Detection And Donor Trust Enhancement
This Document Presents A Demonstration Paper For Submissions To The SET International Journal Of Broadcast Engineering (SET IJBE). It Provides Authors With A Practi- Cal Example Of An AI-based Medical Fund Verification System, Including The...
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...
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...
Amitext: Emotionally Intelligent Message Rewriting Using Transformer Models And Reinforcement Learning
Amitext Is A Premium Message Rewriting Software That Will Enhance The Standards Of Online Communication By Transforming Emotionally Toned Or Offensive Text Messages To Friendly, Sympathetic And Constructive Messages In A Manner That Will No...
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...
LRFS : Online Shopper's Behaviour - Based Efficient Customer Segmentation Model
Online Shopping Has Become A Dominant Platform In Modern Digital Commerce. Understanding Customer Behavior Is Essential For Improving Marketing Strategies And Increasing Revenue. This Paper Proposes An Enhanced Customer Segmentation Model N...
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...
AI-Powered Twitter Content Moderation Using SBERT, CNN And Bi-LSTM With Severity-Based Alert System
Social Media Platforms Such As Twitter (now X) Generate Large Volumes Of Real-time Content, Including Spam, Malicious Links, And Harmful Messages. The Rapid Spread Of Such Content Poses Significant Challenges For Manual Moderation Due To Hi...
Smart Coastal Sprayer For Small Scale Farmers Using Wind-Assisted Battery Charging
Traditional Pesticide Spraying In Coastal Regions Suffers 40-60% Wastage Due To Unpredictable Wind Patterns. This Paper Introduces An ESP32-based Autonomous Sprayer Integrating Wind Turbine Battery Charging, Real-time Anemometer Monitoring,...
Privacy-Preserving Multiple Payment Fraud Detection Using LSTM-based Federated Learning.
This Paper Presents A Privacy-preserving Framework For Multiple Payment Fraud Detection Using Long Short-Term Memory (LSTM) And Federated Learning. The Model Captures Temporal Patterns In Transaction Data To Identify Fraudulent Activities E...
EPILEPTIC SEIZURE RISK ANALYSIS USING EEG SIGNALS
Epileptic Seizure Is A Sudden Neurological Event Caused By Abnormal Electrical Activity In The Human Brain. These Events Can Significantly Disrupt Patient Safety And Quality Of Life. Early Prediction Of Such Events Is Essential For Enabling...
Area - Delay - Power Efficient Carry Select Adder
In Modern VLSI Design, Arithmetic Circuits Are Fundamental Components That Directly Influence The Performance, Power Consumption, And Silicon Area Of Digital Systems. The Carry Select Adder (CSLA) Is One Of The Most Widely Used High-speed A...
Adaptive Web Recommendations For Personalized Browsing
The Approach Extracts Key Features From Web Documents To Form Concepts, Which Are Used To Build An Ontology Capturing Semantic Relationships Between Learning Materials. Web Usage Mining Analyzes Learner Interactions And Navigation Patterns,...