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Earning

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Papers tagged with "Earning"

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Vol 12, Issue 5 (May 2026) Cyber Security

Secure Communications Platform With AIML - Based Threat Detection

The Increasing Prevalence Of Spam And Scam Calls Poses A Significant Security Threat, Particularly In Multilingual Regions Such As India. This Paper Presents ShieldCall AI, An AI-driven Spam Call Detection System That Integrates Machine Lea...

Adithya Varshan A, Ashvanthgopal Baskaran, Ranjith V, Dr. V. Ravindra Krishna Chandar

Design And Implementation Of An AI-Powered Mental Health Chatbot Using Machine Learning, NLP, And Deep Learning

Mental Health Disorders Affect Over One Billion People Globally, Yet Timely Professional Support Remains Limited. This Paper Presents MindCare, An AI-powered Mental Health Chatbot Integrating Natural Language Processing (NLP), Machine Learn...

Ms. J Isaraelin Insulata, V Devendar Reddy, T Sai Narasimha Reddy, T Nandha
Vol 12, Issue 5 (May 2026) Computer Science

Explainable Deep Neural Network Based Multiclass Classification Of Tomato Leaf Disease

Tomato Leaf Diseases Pose A Persistent Challenge To Sustainable Crop Production, Requiring Accurate And Computationally Efficient Diagnostic Solutions For Real-time Field Applications. This Study Proposes A Hybrid Deep Learning Framework Th...

Rupesh Kumar, Dr. Ranu Pandey
Vol 12, Issue 5 (May 2026) Cyber Security

AI-Driven Malicious URL Detection Using Machine Learning, Deep Learning, And Secure Full-Stack Web Integration With CI/CD Pipeline

The Pervasive Adoption Of Digital Platforms Has Precipitated A Concomitant Escalation In Phishing Attacks, Wherein Malicious Uniform Resource Locators (URLs) Serve As The Primary Vector For Credential Theft, Financial Fraud, And Malware Dis...

Dr. Ravindra Krishna Chandar, Keerthi Kumar A, Satheesh Kanna S, Bavithran C, Nikesh S

Explainable Ensemble Machine Learning Framework For Heart Disease Prediction

Heart Disease Is One Of The Leading Causes Of Death Worldwide, And Early Prediction Plays An Important Role In Reducing Severe Health Risks. Traditional Diagnostic Methods Such As ECG, Blood Tests, And Imaging Require Expert Interpretation,...

Mr. P. Ranjith, Krithik Ragul S, Moses Praveen R, Vigneshwaran M
Vol 12, Issue 5 (May 2026) Computer Science And Business Systems

Hybrid Adaptive Sampling With Risk-Based Credit Card Fraud Detection (HAS-RFD)

Credit Card Fraud Has Become A Significant Challenge In The Digital Economy, Resulting In Substantial Financial Losses And Reduced Trust In Online Transactions. This Paper Presents A Hybrid Adaptive Sampling With Risk-Based Fraud Detection...

Mrs.M.Karthika, Rubhavashni LR, Muthamil E, Lavanya Shri R
Vol 12, Issue 5 (May 2026) ARTIFICIAL INTELLIGENCE

TELEMEDICINE PLATFORM WITH AI-POWERED DIAGNOSTICS FOR REMOTE HEALTHCARE

The AI-Based Cyber Threat Prediction System Improves This Paper Presents A Telemedicine Platform With AI-Powered Diagnostics Designed To Improve Healthcare Accessibility And Remote Patient Monitoring. Traditional Healthcare Systems Often Fa...

Mrs. M. Kirithika Devi, Sowmiya M, Srineeha SS, Teena Sherly P, Vijayalakshmi M
Vol 12, Issue 5 (May 2026) Computer Science And Business System

Intelligent Credit Scoring And Loan Approval System Using Behavioral Analytics

This Paper Presents An Intelligent Credit Scoring And Loan Approval System Using Behavioral Analytics To Improve The Accuracy And Efficiency Of Loan Approval Decisions. Traditional Systems Rely Mainly On Credit History And Financial Records...

Dr.PShanmuga Priya, Anantha Lakshme V, Nivitha M, Pradeepa S
Vol 12, Issue 5 (May 2026) Cyber Security

AI Based Cyber Threat Prediction

The AI-Based Cyber Threat Prediction System Improves Cybersecurity Using Artificial Intelligence, Machine Learning, And Deep Learning Techniques. The System Continuously Monitors Network Traffic, System Logs, And User Activities To Identify...

Mrs.P.Uma Maheswari, Lekhashreel, Mahalakshmi S, Sreenithi V

Autonomous Human Violence Detection In Smart Surveillance

Autonomous Human Violence Detection Has Become An Essential Component In Modern Smart Surveillance Systems Due To The Increasing Demand For Public Safety And Automated Monitoring. Traditional Surveillance Methods Rely Heavily On Continuous...

Vennila P, Sanjeev babu M, Anbumani M, Yogesh R

Data Leakage Detection And Intelligent Data Preprocessing System

Data Leakage Is One Of The Most Critical Challenges In Machine Learning Systems, Leading To Unrealistic Model Performance And Poor Generalization In Real-world Applications. Leakage Occurs When Information From Outside The Training Dataset...

Pakirathan K, Murshith Ahamed Eithirish, Gokul, Gokul R

PLANT LEAF DISEASE DETECTION USING DEEP LEARNING

The Web-Based Plant Disease Detection And Fertilizer Recommendation System Presents A Web-based System For Detecting Plant Leaf Diseases. Users Can Upload Leaf Images Through A Simple Interface For Analysis.An Image Enhancement Module Impro...

Dr .P. Shanmuga Priya, Cladias Wilfred L, Krishnan J, Suhail H
Vol 12, Issue 5 (May 2026) Machine Learning

BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES

Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...

Mrs. Lavanya, J. Karthik, G. Sudheer, G. Rohith Yadav
Vol 12, Issue 5 (May 2026) Computer Science And Engineering

INTELLIGENT PPE DETECTION AND COMPLIANCE ASSURANCE AT CONSTRUCTION SITES USING IMPROVED YOLO ALGORITHM

Construction Sites Are Hazardous Environments For Anyone Working Within Them With Various Dangers Present Due To The Presence Of Heavy Machinery, Unsafe Working Practices, And Inadequate Safety Measures. Personal Protective Equipment (PPE)...

Lavanya E, Menaka R, Deepika S, Aruna Devi R, Mrs.M.Agalya
Vol 12, Issue 5 (May 2026) Computer Science And Engineering

ENHANCED GASTROINTESTINAL DISEASE DETECTION USING RESNET50: A COMPARATIVE STUDY OF DEEP LEARNING ARCHITECTURES FOR MEDICAL IMAGE CLASSIFICATION

Gastrointestinal (GI) Diseases Such As Polyps, Ulcers, And Tumors Require Early Detection For Effective Treatment. Traditional Manual Inspection Of Endoscopy Images Is Timeconsuming And Prone To Human Error. This Project Proposes An AIbased...

Sharmilaa S, Udhayakumari S, Sona M, Vishnu Devi R

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