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A Review On AI Integration With Green Chemistry
This Review Aims To Demonstrate The Combined Power Of Artificial Intelligence (AI) And Machine Learning (ML) With Green Chemistry, An Active Process For Designing Chemicals That Seeks To Suppress Or Eliminate Deleterious Substances Right Fr...
Artificial Neural Network-Based Approaches For Predicting Software Development
To Get Reliable Software On Time And Under Budget, You Need To Be Able To Accurately Forecast How Much Work Will Go Into Developing It. There Have Been A Number Of Software Effort Estimating Models Made In The Last Few Years, But It's Still...
The Wireless Enabled Intelligent Battery Health And Performance Monitoring System
This Paper Presents The Use Of Wireless Technology To Monitor Various Parameters Of An Electric Vehicle’s Battery. Since Electric Vehicles Rely Entirely On Battery Power, Ensuring The Battery's Health And Performance Is Crucial. The Propose...
Next-Gen Industrial Safety: AI-Driven Wearable Equipment Detection And Emergency Alert
Ensuring Worker Safety In Industrial Settings Is A Persistent Challenge Due To Hazardous Environments, Equipment Failure, And Limited Human Supervision. This Paper Introduces A Smart Industrial Safety Wearable Device Integrated With Artific...
Enhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This St...
A Review On Machine Learning And Deep Learning Models For Predicting Workload In Cloud Platforms
Cloud Computing Has Become The Backbone Of Modern IT Infrastructure, Enabling Elastic Resource Provisioning And Pay-as-you-go Models. As Enterprises Migrate More Workloads To The Cloud, The Challenge Of Predicting Workload Demand And Managi...
Predictive Maintenance Of Bridge Structures Using AI-Driven Vibration Analysis And Sensor Data
Bridge Structures Are Among The Most Crucial Components Of Civil Infrastructure, Often Bearing The Load Of Transportation Systems Across Cities And Regions. Their Failure Can Lead To Significant Economic Disruptions, Public Safety Hazards,...
AI BASED PERFORMANCE ANALYSIS OF ATC INTEGRATED WCC IN HVAC SYSTEM USING IOT
This Work Presents An AI-driven Performance Analysis Of A Water-Cooled Chiller (WCC) Integrated With An Automatic Tube Cleaning (ATC) System, Enhanced By Internet Of Things (IoT) Technologies In An HVAC Environment. The Integration Addresse...
Fraud Detection And Analysis For Insurance Claims Using Machine Learning
Insurance Fraud, Particularly In Claim Processing, Results In Billions Of Dollars In Losses Annually For Companies Worldwide. Manual And Rule-based Detection Mechanisms Are Often Inefficient In Detecting Sophisticated Fraud Schemes. This St...
Early Detection Of Kidney Cancer Using Machine Learning-Based Predictive Modeling
Kidney Cancer Remains A Serious Health Threat Worldwide, With Many Cases Undetected Until Reaching Advanced Stages, Leading To Reduced Survival Rates. Factors Like Limited Awareness And Insufficient Diagnostic Resources Contribute To High M...
A Conceptual Study On Structural Audit Practices For Bungalows Using NDT Methods
This Study Presents A Conceptual Analysis Of Structural Audit Practices For Bungalows Using Non-Destructive Testing (NDT) Methods. Structural Health Monitoring (SHM) Plays A Crucial Role In Assessing The Integrity Of Buildings By Detecting...
IOT-Based Bridge Health Monitoring System
Modern Bridges Need Regular And Careful Monitoring To Stay Safe And In Good Working Condition. Traditional Ways Of Checking Bridges Can Be Slow, Expensive, And Often Happen After Damage Has Already Started. This Paper Talks About A Smart Sy...
IoT Based Smart Biofloc Monitoring System For Fish Farming Using Machine Learning
Biofloc Technology Has Emerged As A Sustainable And Space-efficient Method For Fish Farming, Particularly Valuable In Regions With Limited Water Resources. However, Its Operation Is Highly Sensitive To Variations In Water Quality Parameters...
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...