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Papers tagged with "Feature"
Flight Delays Prediction
Flight Delay Prediction Remains A Significant Challenge In Modern Air Transportation Management. This Paper Presents A Comparative Analysis Of Machine Learning Approaches—including Classification-based, Ensemble-based, And Hybrid Predictive...
CAR PRICE PREDICTOR: UNLOCKING INSIGHTS FOR USED CAR BUYERS AND SELLER
The Automotive Industry Is Witnessing A Paradigm Shift With The Increasing Demand For Used Cars. As Consumers Explore Cost-effective And Sustainable Transportation Options, The Valuation Of Used Cars Becomes A Critical Aspect Of The Buying...
Human Sentiment Sound RNN Emotional Analysis With Django interface
Human Sentiment Sound RNNs For Emotional Audio Analysis With A Django Interface" Explores The Intersection Of Deep Learning And Human-computer Interaction By Developing A Recurrent Neural Network (RNN) Model Tailored To Analyze And Classify...
Brain Tumer Detection Using Machine Learning
Brain Tumors Result From The Abnormal And Uncontrolled Growth Of Cells. If Left Untreated During The Early Stages, They Can Become Life-threatening. Although Numerous Significant Advancements Have Been Achieved In This Field, Ensuring Accur...
Desktop AI , A Virtual Assistant
The Jarvis Application Is A Voice-activated Virtual Assistant Designed To Automate Daily Tasks Through Simple Voice Commands. It Offers A Range Of Functionalities, Including Personalized Greetings, Web Searches (Google, YouTube, And Wikiped...
IoT Med Assist Enhancing For Paralysis Patients
The Presents A Novel System For Home Automation, Leveraging Hand Gesture Recognition Integrated With IoT- Enabled Voice Conversion To Support Individuals With Speech Impairments. The System Utilizes An Accelerometer To Detect Hand Gestures...
Feature Engineering Based Human Brain Stroke Symptoms Prediction Using Machine Learning
Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Str...
Intelligent Malware Detection And Classification Using Correlation-based Feature Selection
Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intent...
DEHAZING DESMOKING SYSTEM USING AL/ML
This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) An...
Early-Stage Oral Cancer Identification Using White Light Imaging And LightGBM Algorithm
Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniqu...
CBIR: Enhancing Image Retrieval Through AutoEncoders And Metric-Based Search
The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For...
Design And Development Of A Feature-Extraction-Based Content-Based Image Retrieval System
Content-based Picture Retrieval From Vast Resources Has Recently Gained Popularity In A Variety Of Issues. This Thesis Introduces The Contend-based Image Retrieval System, Which Combines Colour, Shape, And Texture As Visual Cues To Characte...
Advanced Detection Of Breast Cancer Through Machine Learning : A Comprehensive Investigation
Breast Cancer Is One Of The Most Widespread And Deadly Types Of Cancer. Early And Accurate Diagnosis Of Breast Cancer Improves The Chances Of Survival And Also The Treatment. Breast Cancer Is Detectable Very Early With ML Techniques That Ar...
AUTOENCODER BASED CHURN PREDICTION IN TELCOM USING MACHINE LEARNING
Customer Churn Prediction Is A Critical Challenge In The Telecom Industry, Where Retaining Existing Customers Is More Cost-effective Than Acquiring New Ones. This Paper Explores The Development Of A Churn Prediction Model Using Machine Lear...
Detection Of Suicidal Ideation From Social Media Posts Using BERT And LSTM Models
Twitter And Facebook Are The Most Popular And Commonly Used Social Media Platforms Among People Of All Ages When Textually Expressing Their State Of Mind Or Emotions. Some Of These Emotions And Thoughts Are From People Who Are Suicidal. Sui...