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IMPACT OF RENEWABLE ENERGY PRICE FLUCTUATIONS IN GREEN HYDROGEN PRODUCTION CONNECTED TO HYETRON ENERGY PVT LTD, CHENNAI

This Study Examines The Impact Of Renewable Energy Price Volatility—especially From Solar—on The Economic Viability Of Green Hydrogen Production In India. Using A Questionnaire-based Survey Of Solar Energy Suppliers, It Identifies Seasonal...

ECG PEAK DETECTION USING DEEP LEARNING APPROACHES

Cardiovascular Diseases (CVDs) Remain A Leading Cause Of Mortality Worldwide, Necessitating Efficient Diagnostic Tools For Early Detection. Electrocardiogram (ECG) Analysis Is A Cornerstone Of Cardiac Diagnosis, But Manual Interpretation Is...

CUSTOMER SATISFACTION OF ERP SOFTWARE IN EDUCATIONAL INSTITUTIONS WITH SPECIAL REFERENCE TO EDSHIP TECHNOLOGIES PVT LTD, KOCHI

This Study, Titled "Customer Satisfaction Of ERP Software In Educational Institutions With Special Reference To Edship Technologies Pvt Ltd, Kochi," Evaluates The Effectiveness And User Satisfaction Of Edship ERP In Addressing The Administr...

DDOS DETECTION IN SOFTWARE DEFINED NETWORK USING FEDERATED LEARNING

Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System...

DETECT GENUINE AND COUNTERFEIT LOGOS USING A CNN WITH THE INCEPTION V3 PRE TRAINED MODEL TO ACHIEVE HIGH ACCURACY

The Proliferation Of Counterfeit Products Poses Significant Challenges To Brand Integrity And Consumer Trust. This Paper Presents A Comprehensive Survey On Detecting Genuine And Counterfeit Logos Using Convolutional Neural Networks (CNNs) W...

IOT-ENABLED SMART WASTE MONITORING AND COLLECTION

This Paper Presents A Holistic Smart Waste Management System Integrating IoT Sensors, Cloud Computing, And Route Optimization To Address Urban Waste Challenges. The System Employs Ultrasonic Sensors For Real-time Bin Fill-level Monitoring,...

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 FLEXIBLE WORKING CONDITION AND ITS IMPACT ON PERFORMANCE AND JOB SATISFACTION IN IT SECTOR

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...

Fault Detection And Restoration Through Wavelet Transform In Grid System

Fault Detection And Restoration Through Wavelet Transform Refers To The Advanced Methodologies Employed To Identify And Mitigate Faults In Electrical Systems Using Wavelet Analysis. The Growing Complexity And Non-linearity Of Signals Genera...

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...

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...