Impact Factor
Publish Your Paper
Submit your research manuscript for fast peer review and publication.
Submit Paper
Papers tagged with "Extraction"
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...
AI-powered Document Interaction : A Natural Language Processing Approach Processing Approach for Conversational PDF Analysis
The Chat With PDF Is An Innovative Solution Designed To Simplify The Process Of Querying Multiple PDF Documents Through A Conversational AI Interface. With The Increasing Volume Of Digital Documents In PDF Format, Especially In Academic, Co...
AI CAR WITH REAL-TIME DETECTION OF DAMAGE ROAD AND LANE DETECTION
The Present Article Proposes The Deep Learning Concept Termed ―Faster-Region Convolutional Neural Network‖ (Faster-RCNN) Technique To Detect Cracks On Road For Autonomous Cars. Feature Extraction, Preprocessing, And Classification...
PHISHING WEBSITE DETECTION USING GAN AND RANDOM FOREST
Cyber Attackers Create Fake Websites For Various Nefarious Purposes, Such As Promoting Their Products, Distributing Malware, Or Stealing Login Credentials Through A Deceitful Tactic Known As Phishing. Phishing Involves Impersonating Legitim...
ENHANCING SECURE DATA TRANSFER THROUGH IMAGE STEGANOGRAPHY
This Paper Explores The Enhancement Of Secure Data Transfer Using Image Steganography. Image Steganography Involves Embedding Secret Information Within A Digital Image In Such A Manner That Its Presence Is Concealed, Thereby Providing A Rob...
EMOTION DETECTION FROM FACIAL EXPRESSIONS USING CNN AND LSTM FOR ENHANCED ACCESSIBILITY FOR BLIND INDIVIDUALS
Facial Expressions Are A Crucial Component Of Human Communication, Conveying Emotions That Enrich Social Interactions. For Blind Individuals, This Nonverbal Channel Is Inaccessible, Hindering Their Ability To Fully Understand Social Cues. T...
Plant disease detection
The Identification And Detection Of Diseases Of Plants Is One Of The Main Points Which Determine The Loss Of The Yield Of Crop Production And Agriculture. The Studies Of Plant Disease Are The Study Of Any Visible Points In Any Part Of Th...
PLANT IDENTIFICATION AND DISEASE DETECTION
Many Machine Learning (ML) Models Have Been Employed For The Detection And Classification Of Plant Diseases But,Early Detection Of Plant Diseases Is Crucial To Ensure Healthy Crop Growth. Deep Learning (DL), A Powerful Subset Of Machine Lea...
Keyword Extraction Based on Semantic Similarity using Wildcard
Xtracting Keywords Is An Effective Approach For Distilling The Main Content Of A Text. However, Swiftly Extracting Useful Information From Numerous Documents Poses A Challenge. This Paper Introduces A Novel Algorithm For Keyword Extract...
SKIN CANCER DETECTION USING EFFICIENT NEURAL NETWORK AND DEEP LEARNING
Skin Cancer Is Considered As One Of The Most Dangerous Types Of Cancers And There Is A Drastic Increase In The Rate Of Deaths Due To Lack Of Knowledge On The Symptoms And Their Prevention. Skin Cancer Is A Significant Public Health Concern,...
BRAIN TUMOR CLASSIFICATION USING MACHINE LEARNING
A Brain Tumour Is Formed By A Gradual Addition Of Abnormal Cells, And This Is One Of The Major Causes Of Death Among Other Sorts Of Cancers. It Is Necessary To Classify Brain Tumor Using Magnetic Resonance I...
MALWARE WEBSITE DETECTION USING ENSEMBLE MACHINE LEARNING APPROACH
Phishing Websites Remain A Persistent And Significant Threat To Cyber Security Jeopardizing The Confidentiality, Integrity, And Of Sensitive Data For Organizations And Individuals. Despite Significant Efforts In Research And Development, Id...
AN IMAGE PROCESSING AND NEURAL NETWORK APPROACH FOR GLAUCOMA IDENTIFICATION
Glaucoma Is A Chronic Eye Disease, Where A Loss Of Vision Occurs As A Result Of Progressive Optic Nerve And Astrocytes Damage Caused By High Intraocular Pressure (IOP). It Is The Second Major Cause Of Visual Impairment And Blindness Worldwi...
A SURVEY ON MACHINE LEARNING BASED TECHNIQUES FOR DETECTION OF GLAUCOMA
Glaucoma Is Often Termed As The Silent Snatcher Of Eyesight. It Is One Of The Leading Causes For Blindness Which Is Caused Due To Abnormally High Pressure Created In The Eye, Causing Damage To The Optic Nerves. With The Advancements In Imag...
DEEP LEARNING SOLUTION FOR THE DETECTION OF CARDIOVASCULAR DISEASES IN ECG IMAGES
In Recent Times, Heart Disease Prediction Is One Of The Most Complicated Tasks In Medical Field. In The Modern Era, One Person Dies Per Minute Due To Heart Disease. Deep Learning Plays An Important Role In The Field Of Medical Science In So...