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Papers tagged with "Machine"
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...
SAND SIEVING MACHINE
The Sand Sieving Machine Is A Mechanical Device Designed To Separate Sand Particles Based On Their Size And Remove Unwanted Materials Such As Stones, Gravel, And Impurities. In Traditional Methods, Sand Sieving Is Done Manually Using Hand S...
SUGARCANE LIFTING MACHINE
The Sugarcane Lifting Machine Is A Mechanical Device Designed To Reduce Manual Labor And Improve Efficiency In Sugarcane Handling During Harvesting And Loading. In Traditional Methods, Workers Manually Lift And Load Heavy Bundles Of Sugarca...
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...
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...
AI-BASED ATHEROSCLEROSIS DETECTION MODEL USING CARDIOVASCULAR IMAGING DATA
Atherosclerosis Is A Chronic Cardiovascular Condition Characterized By The Gradual Accumulation Of Plaque Within Arterial Walls, Resulting In Restricted Blood Flow And Increased Risk Of Heart Attacks And Strokes. Early Detection Is Essenti...
LUNG INFECTION SEGMENTATION AND CLASSIFICATION USING DEEP LEARNING
Lung Fibrosis Is A Chronic And Progressive Respiratory Disease Characterized By Scarring Of Lung Tissue, Leading To Reduced Lung Function And, In Severe Cases, Respiratory Failure. Early Detection Is Critical For Timely Intervention And Imp...
WildGuard AI: A Spatial Machine Learning Framework For Poaching Risk Assessment
Illegal Wildlife Poaching Remains One Of The Most Critical Threats To Biodiversity Conservation, Leading To Ecological Imbalance, Species Extinction, And Economic Loss In Protected Reserves. Traditional Anti-poaching Strategies Rely Heavily...
Smart Healthcare Appointment And Disease Prediction System
The Rapid Advancement Of Artificial Intelligence (AI) And Machine Learning (ML) Technologies Has Significantly Transformed Various Domains, Particularly The Healthcare Sector. Early Disease Detection And Timely Medical Consultation Play A C...