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A Non-Hierarchical AI Framework For Secure Blockchain Anomaly Detection
Blockchain Technology Has Changed The Way Of Conducting Business By Providing A New Form Of Organization That Is Decentralized, Secure And Transparent. Nevertheless, Having Gained Popularity, It Has Become A Major Hub For Adversarial Attack...
Detection Of Image Forgery Using Image Pre-Processing And Probabilistic Neural Network
With Social Media Making Its Presence Felt Wide And Far, Its Consequences Are Also Far Reaching At Least In The Context Of Imagery. The Amount Of Information That Can Be Shared By Images Is Enormous As Compared To Test Data. However, There...
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...
A STUDY ON TYPE 2 DIABETES PREDICTION USING DEEP LEARNING TECHNIQUES
T2DM, Or Type 2 Diabetes Mellitus, Has Become A Major Global Health Concern Due To Its High Prevalence And Related Medical Expenses. With An Emphasis On Data-driven Strategies That Make Use Of Patient Health Information, Such As Blood Sugar...
A Study On Predicting House Prices With Deep Learning: An Evaluation Of Advanced Neural Network Models
Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting...
Breaking Language Barriers: Walkie-Talkie And Bluetooth Conversation In Offline Translation
AI And ML Advances Have Sparked A Revolution In Many Fields, With Real-time Translation Apps Standing Out As A Key Improvement. As The Need For Smooth Communication Across Language Barriers Grows, Translation Technology Has Become A Crucial...
A Review On Pathophysiology,Marphology And Treatment Of Herpes Zoster
Background: Herpes Zoster (HZ), The Reactivation Of Varicella Zoster Virus, Occurs In 1 In 5 People Global And May Result In A Variety Of Difficult, Including Postherpetic Neuralgia (PHN). Treatment Of Patients With HZ Shown A Considerable...
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...
Artificial Intelligence: Empowering Human Capabilities In Everyday Task
This Research Paper Explores The Advancements, Applications, And Implications Of Artificial Intelligence (AI), Focusing On Its Technological Aspects And Societal Impact. It Examines Key Components And Methodologies Of AI, Such As Neural Net...
CROSS-PLATFORM SECURE PHOTO SHARING FRAMEWORK USING DEEP LEARNING
In The Era Of Ubiquitous Digital Communication, The Secure Sharing Of Multimedia Content Across Diverse Platforms Has Become A Critical Concern. This Project Introduces A Robust And Secure Photo-sharing Framework Leveraging Advanced Deep Le...
Kidney Stone Detection From Ultrasound Images Using Canny Edge Detection And CNN Classification
Kidney Stone Detection Is A Critical Task In Diagnosing And Managing Urological Disorders. This Project Focuses On Developing A Robust System For Kidney Stone Detection Using Ultrasound Images. The Methodology Integrates Canny Edge Detectio...
AI - POWERED RAIL SAFETY SYSTEMS FOR REAL - TIME DETECTION OF CRACKS AND OBJECTS
The Smart Railway Monitoring System Leverages Advanced AI Techniques To Ensure The Safety And Efficiency Of Railway Operations. The System Integrates Object Detection And Crack Detection Methodologies To Monitor Railway Tracks And Infrastru...
Brain Tumor Detection And Classification With An Android App
Brain Tumor Detection Is A Critical Task In Medical Diagnostics, Requiring Accurate And Efficient Models To Classify Tumor Presence In MRI Scans. This Project Employs A Convolutional Neural Network (CNN) To Identify Tumors In Medical Images...
Advancements in Skin Cancer Detection: Leveraging CNNs for Accurate Diagnosis
Among The Cancers Which Are Most Frequently Reported In Different Parts Of The World, Are Subtypes Like Melanocytic Nevi, Melanoma, Basal Cell Carcinoma, Actinic Keratoses, Vascular Lesions, Dermatofibroma, And Benign Keratosislike Lesions,...
VEHICLE SPEED DETECTION AND HELMET ENFORCEMENT
Ensuring Road Safety Through Effective Enforcement Of Traffic Laws Is A Critical Challenge, Particularly In Addressing Overspeeding And Helmet Non-compliance Among Motorcyclists. Traditional Methods Of Traffic Violation Monitoring Are Resou...