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Papers tagged with "Sem"
An Ensemble Machine Learning Models For Heart And Cardiovascular Disease Prediction
Chronic Health Risks Have Risen Among Young Individuals Due To Several Factors Such As Sedentary Lifestyle, Poor Eating Habits, Sleep Irregularities, Environmental Pollution, Workplace Stress Etc. The Problem Seems To Be More Menacing In Th...
ADVANCING SPEECH EMOTION RECOGNITION VIA SEMANTIC AND PARALINGUISTIC FEATURE FUSION
Speech Emotion Recognition Is An Essential Component For Applications Like Education And Human-computer Interaction [1]. While Deep Neural Networks (DNNs) Have Advanced The Field, Many Studies Ignore The Semantic Information Present Within...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keywo...
Secure And Efficient Cloud Data Storage Using Deduplication And Blockchain Technology
This Paper Presents A Secure And Efficient Cloud Data Storage Using Deduplication And Blockchain Technology To Reduce Storage Requirements And Enhance Data Security.Cloud Computing Has Become A Fundamental Backbone For Modern Organizations,...
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...
Ensemble Machine Learning For NIFTY-50 Price Forecasting And Trend Classification: A Flask-Deployed Decision Support System
Stock Market Forecasting Poses A Significant Challenge Due To The Non-linear, High-volatility Nature Of Financial Time Series. This Paper Presents An End-to-end Machine Learning Pipeline For Predicting NIFTY-50 Closing Prices And Next-day D...
TalentIQ-AN INTELLIGENT RESUME AND FAIR CANDIDATE RANKING SYSTEM
TalentIQ Is An AI-powered Resume Intelligence System Designed To Automate Candidate Screening And Improve Recruitment Efficiency. The System Analyzes Resumes Using Natural Language Processing (NLP) And Semantic Skill Matching Techniques To...
LLM-Based Medical AI Chatbot Using LLaMA For Healthcare Assistance
Access To Quality Healthcare Remains A Critical Global Challenge. Approximately 3.5 Billion People Lack Access To Basic Healthcare Services. This Paper Presents The Design And Development Of A Full-stack Document Intelligence Application Po...
Deep Learning Approach For Detecting Fake Job Posting In Online Recruitment Platform
The Rapid Growth Of Online Job Portals Has Changedhow People Find Work, Making The Process Much Easier. However, This Easy Access Has Also Led To A Massive Increase In Fake Job Postings And Employment Scams. Scammers Use These Platforms To...
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,...
CHRONIC KIDNEY DISEASE PREDICTION USING MACHINE LEARNING ENSEMBLE ALGORITHM
Chronic Kidney Disease (CKD) Is A Non-communicable Illness That Affects A Significant Portion Of The Global Population. Major Risk Factors Include Diabetes, Hypertension, And Cardiovascular Disorders. CKD Often Remains Asymptomatic In Its E...
A Study On Effects Of Television Advertisement On Consumer Buying Behaviour
Television Advertising Plays A Significant Role In Shaping Consumer Buying Behavior By Influencing Awareness, Attitudes, And Purchase Decisions. This Study Examines The Effect Of Television Advertisements On Consumers By Analyzing How Visua...
Cyber Intrusion Detection Using Machine Learning Techniques
Cyber Intrusions Are Becoming Increasingly Complex And Sophisticated, Making Them Difficult To Detect Using Conventional Rule-based And Signature-driven Security Mechanisms. The Rapid Growth Of Network Traffic And Evolving Attack Patterns D...
An Intelligent NABL Laboratory Information System Using Retrieval-Augmented Generation For Compliance Automation
Laboratories Accredited By The National Accreditation Board For Testing And Calibration Laboratories (NABL) Handle Large Amounts Of Documentation Relating To Quality Manuals, Audit Trail Records, Standard Operating Procedures, And Complianc...