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Papers tagged with "Earning"
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
TweetSense: Emotion Detection From Twitter Data Using Natural Language Processing
This Research Investigates The Application Of Natural Language Processing (NLP) Models For Sentiment Analysis Of Twitter Data, A Domain That Has Gained Immense Importance In The Era Of Digital Communication.[1] Twitter, As A Microblogging P...
DEEP LEARNING – BASED LECTURE VIDEO SUMMARIZATION FOR SMART EDUCATION
The Rapid Growth Of Online Learning Platforms Has Led To A Large Collection Of Lecture Videos, Making It Difficult For Students To Revisit Lengthy Content. To Solve This Issue, The Proposed System Is Developed As A User-friendly Web Applica...
NUTRIENT DEFICIENCY DETECTION IN PADDY CROP USING LEAF IMAGES
The Early Detection Of Nutrient Deficiencies In Paddy Crops Is Essential For Improving Crop Yield And Ensuring Sustainable Agricultural Practices. Traditional Methods Rely On Manual Observation And Expert Knowledge, Which Can Be Time-consum...
AI-DRIVEN TWO WAY SIGN LANGUAGE TRANSLATOR
This Project Presents A Two-way Sign Language Translation System That Enables Communication Between Hearing-impaired Individuals And Non-sign Language Users. The System Converts Hand Gestures Into Text Using Computer Vision And Machine Lear...
Detection Of Fake And Irrelevant Job Postings Using Passive Aggressive Classifier
With The Rapid Growth Of Online Job Portals, The Number Of Fake And Irrelevant Job Postings Has Significantly Increased. These Fraudulent Listings Mislead Job Seekers, Waste Time, And Sometimes Lead To Financial Loss. This Paper Presents A...
AI-Based Automatic Network Traffic Routing To Avoid Congestion
The Exponential Increase In Network Traffic Has Made Congestion A Major Challenge, Leading To Increased Latency, Packet Loss, And Reduced Quality Of Service (QoS). This Paper Presents An Intelligent And Adaptive Traffic Routing System That...
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...
AI-Based Forensic Face Sketch Generation and Suspect Identification from Eyewitness Verbal Description
Suspect Identification Based On Eyewitness Descriptions Remains A Critical Challenge In Criminal Investigations Due To Memory Limitations, Language Barriers, And The Lack Of Reliable Visual Evidence. Traditional Forensic Sketching Methods R...
Learning Path Dashboard For Enhancing Skills: A Personalized Adaptive E-Learning System
Personalized Learning Is Increasingly Important In Modern Education, Addressing Diverse Learning Styles And Indi-vidual Skill Gaps. This Project Presents A Frontend Prototype Of A Learning Path Dashboard That Simulates AI-inspired Adaptive...
AN INTERPRETABLE FINANCIAL DECISION SUPPORT SYSTEM FOR LOAN APPROVAL USING DATA ANALYTICS
The Process Of Loan Approval Plays A Vital Role In Financial Institutions, Requiring Accurate And Timely Decision-making. Traditional Systems Rely Heavily On Manual Evaluation, Which Often Leads To Inconsistency And Delays. This Study Prese...
Deep Learning-Enabled Personal Fitness Coaching With Motion Feedback And Goal Optimization
The Increasing Adoption Of Artificial Intelligence In Healthcare And Fitness Has Opened New Opportunities For Intelligent Personal Coaching Systems. This Paper Presents A Deep Learning-enabled Personal Fitness Coaching System That Recognize...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING
Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...
DEEP VISION-BASED SMART WASTE SORTING USING VGG16 AND YOLO FOR REAL-TIME APPLICATIONS
Waste Classification Is A Critical Component Of Effective Waste Management, As It Enables Materials To Be Properly Segregated For Disposal, Recycling, And Environmental Protection. Traditional Waste Sorting Methods Largely Depend On Manual...