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Dynamic IT Support System With Intelligent Triage And Operational Memory
Modern Office IT Environments Are Highly Complex And Often Experience Unexpected System Failures That Impact Productivity And Increase Operational Costs. Traditional IT Support Systems Follow A Reactive Approach, Where Issues Are Addressed...
The Breast Cancer Recurrence Prediction
Breast Cancer Recurrence Remains One Of The Most Critical Challenges In Long-term Oncology Care, Posing Significant Risks Even After Successful Primary Treatment. While Advances In Early Diagnosis And Therapeutic Interventions Have Improved...
AI-Driven Smart Project Management System With Predictive Analytics (ML + NLP)
This Paper Presents An Artificial Intelligence Driven Project Management System Designed To Predict Project Delays And Assess Associated Risks Using A Hybrid Analytical Approach. The Proposed System Integrates Machine Learning And Natural L...
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,...
An Intelligent Hybrid GCN-LSTM Model For Energy Stock Price Forecasting With Temporal Dynamics And Inter-Stock Correlation
Energy Sector Stock Price Prediction Is A Critical Yet Challenging Task In Financial Forecasting, Characterized By High Volatility, Non-linearity, And Complex Interdependencies Driven By Geopolitical Events, Regulatory Shifts, And Commodity...
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...
Intelligent Resume Analyzer: A Machine Learning Approach For Automated Resume Screening And Candidate Evaluation
We Spent A Fair Amount Of Time Watching How Recruiters Actually Screen Resumes Before Building This. What Struck Us Was Not The Speed — Six To Eight Seconds Per Resume Is Well-documented [1] — But How Much Of That Time Went To Things That H...
SMART DIAGNOSIS: SYMPTOM-BASED DISEASE PREDICTION USING MACHINE LEARNING
The Rapid Developments In Smart Health Care Applications The Usage Of Machine Learning Models, Enhance The Quality Of Disease Prediction Process, The Outcome And The Accuracy. The Need For Classifying The Diseases From The Massive Data Coll...
A Cloud-Based AI-Powered Threat Deception Platform
Modern Web Applications Are Increasingly Targeted By Automated Bots And Sophisticated Attackers Using Advanced Exploitation Techniques Such As Injection Attacks, Credential Stuffing, And Reconnaissance-based Probing. Traditional Intrusion D...
Autism Spectrum Disorder Detection System For Childrens Using Multi-model Analysis
Autism Spectrum Disorder (ASD) Is A Neuro Developmental Condition Characterized By Challenges In Social Communication, Emotional Expression, And Behavioral Flexibility. Early Screening Plays A Crucial Role In Enabling Timely Intervention An...
A Machine Learning-Based Intelligent Web Application Firewall For Real-Time Protection Against SQL Injection And XSS Attacks
The Rapid Growth Of Web Applications Has Led To An Increased Attack Surface For Cyberattacks Such As Structured Query Language (SQL) Injection, Cross-Site Scripting (XSS), And Other Application-layer Exploits. Traditional Web Application Fi...
DEEP LEARNING-BASED DETECTION OF SKILLED SIGNATURE FORGERIES
Signature Verification Plays A Critical Role In Authentication Systems Used In Banking, Legal Documentation, And Financial Transactions. However, Skilled Signature Forgeries Pose A Significant Challenge For Traditional Verification Techniqu...
AI IN GAMING: HOW NPCS ARE BECOMING INTELLIGENT
Artificial Intelligence (AI) Has Become A Core Component In Modern Video Game Development, Significantly Enhancing The Behavior And Realism Of Non-Player Characters (NPCs). Traditional NPCs Relied On Scripted Rules And Predefined Logic, Res...
AI-Based Automatic Expense Tracking And Prediction System Using Machine Learning
This Paper Presents An Artificial Intelligence-based Automatic Expense Tracking System Designed To Help Users Manage Their Financial Activities Efficiently. Traditional Expense Tracking Methods Require Manual Input And Lack Predictive Insig...
Machine Learning Approaches For Intelligent Intrusion Detection Systems In Cloud Networks
Cloud Computing Has Become A Fundamental Platform For Storing Data And Running Applications Due To Its Scalability, Flexibility, And Cost Efficiency. However, The Rapid Growth Of Cloud Environments Has Also Increased Security Threats Such A...