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Classification

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Papers tagged with "Classification"

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Vol 12, Issue 9 (September 2026) Mathematics And Computer Science

Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features

Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...

Amit Sahu, Dr. Samar Upadhyay, Dr. J.K Maitra
Vol 12, Issue 9 (September 2026) Computer Science And Enginnering

ForestGuard AI: Acoustic Detection Of Chainsaw Activity For Illegal Logging Monitoring

Illegal Logging Is A Major Environmental Problem That Affects Forest Ecosystems, Biodiversity, And Natural Resources. Conventional Forest Monitoring Techniques Based Mainly On Manual Patrols And Visual Inspection Can Be Difficult To Scale A...

Prof. Sangeetha M R, Shambhavi Paramanna Shiragond, Shweta Virupakshayya BanalaMath, Sneha M, S L Sanjana
Vol 12, Issue 9 (September 2026) Computer Science Engineering

ProcureAi: An AI-Driven Procurement Spend Intelligence Platform For Automated Anomaly Detection, Supplier Optimisation And Predictive Expenditure Forecasting

- Enterprises Routinely Lose Between Three And Eight Percent Of Addressable Procurement Spend To Fragmentation, Duplicate Payments, Maverick Buying, Contract Price Leakage, And Unmanaged Tail Spend. This Paper Presents ProcureAI, A Full-sta...

Bharrath K
Vol 12, Issue 9 (September 2026) ELECTRONICS ENGINEERING

Embedded Edge-AI Framework For Autonomous UAV-Based Human Detection And Remote Alerting Using ESP32-S3 Flight Control And ESP32-CAM Vision

Autonomous Unmanned Aerial Vehicles (UAVs) Equipped With On-board Artificial-intelligence Inference Are Increasingly Used For Surveillance And Monitoring Tasks That Require Rapid, Low-latency Decisions Without Continuous Human Supervision....

KATHAR MYDEEN S, Dr. P. Sivasankar, Dr. G. Kulanthaivel
Vol 12, Issue 8 (August 2026) Electronics And Communication

Defect Detection In Printed Board Circuit Using Image Processing

A Printed Circuit Board Without Connecting With Any Components Called As A Bare PCB. Consider A PCB As A Basic Part Which Has Been Settled With More Electronic Units. In Order To Display The Manufacturing Process, The Drawbacks Have Been Ta...

T Ramu, Mrs. Shaik Nowjiya, Dr.P.Sai Prasad
Vol 12, Issue 7 (July 2026) Computer Science

An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data

Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...

Vikas Balhon, Dr. Neha Jain
Vol 12, Issue 6 (June 2026) Computer Science And Engineering

Forecasting Customer Turnover Using Machine Learning

Customer Churn Prediction Is An Essential Task For Telecommunication Companies To Reduce Customer Loss And Improve Retention.A Machine Learning System Is Proposed In This Paper To Predict Customer Churn By Using Customer Usage History. Fron...

Sowndarya .M, MS.G.P Angeline Pearl

AgroNGO: A Machine Learning–Enabled Platform For Farm-to-Consumer Commerce And Sustainable Food Redistribution

A Major Challenge That The Agriculture Supply Chain Is Facing In India Is The Lack Of Technology. Fragmented With Large Losses In Food Post Harvest, Lowering Farmers' Income, Poor Food Availability For Low-income Groups. This Paper Outlines...

Pranav Ashokrao Agone, Anuj Rawat, Pratham Mangesh Patil, Om Ashok Jadhav, Prof.S.B.Nimbekar
Vol 12, Issue 6 (June 2026) Computer Science And Applications

Intelligent Learning Outcome Prediction Using Machine Learning Techniques

Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...

Saraswathi P
Vol 12, Issue 6 (June 2026) COMPUTER APPLICATION

COMPARATIVE ANALYSIS OF MACHINE LEARNING MODELS OF DIABETES PREDICTION

The Diabetes Mellitus Is One Of The Fastest-growing Chronic Health Conditions Globally, Affecting Hundreds Of Millions Of Individuals And Imposing Significant Burdens On Healthcare Systems Worldwide. Early Identification Of At-risk Indiv...

Vol 12, Issue 6 (June 2026) Civil Engineering

Analysing Structural Failure Of Bridges Employing Bridge Parameters And Stochastic Modelling

Structural Failure In Pertaining To Bridges Is Extremely Challenging To Assess.. Stochastic And Statistical Computing Is Being Explored To Derive Conclusive Decisions Where Human Intervention Is Difficult In Time And Resource Constrained Si...

Raksha Patel, Prof. Sumit Pahwa, Prof. Salma Patel
Vol 12, Issue 6 (June 2026) Computer Applications

Predictive Power Machine Learning Models For Machine Failure Status

Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...

BALAJI R, Dr. K. Annalakshmi
Vol 12, Issue 5 (May 2026) Computer Applications

AI-BASED PREDICTIVE MODELING FOR CLASSIFICATION OF FETAL HEALTH CONDITIONS

Fetal Health Assessment Is A Critical Component Of Prenatal Care, Directly Influencing The Safety And Outcomes Of Both Mother And Fetus During Pregnancy. Conventional Diagnostic Approaches, Which Rely Heavily On Manual Interpretation Of Car...

C.Jesi, Dr. S. Senthamariselvi
Vol 12, Issue 5 (May 2026) IT

BuySense: A Dual-Model Approach For Purchase Viability Prediction Using Amazon Review Data

This Paper Presents The BuySense, A Machine Learning Application That Predicts Whether A Product Is Worth Purchasing Based On Amazon Review Text Data. The System Builds Two Independent Binary Classifiers—a Viability Model And A Regret Model...

Shivaathmajan P, Ayswaryaa V, Gautham Siddarth, Nithya Roopa S

Real-Time Detection Of Forest Fires Using FireNet-CNN And Explainable AI Techniques

This Study Proposes FireNet-CNN, A Lightweight And Efficient Deep Learning Model For Real-time Forest Fire Detection Using Convolutional Neural Networks (CNN) And Explainable AI (XAI) Techniques. The Model Was Trained And Evaluated On Augme...

Mrs.B.Sathya, Harihasudhanks, Karthik Ramanathan Sr, Madhushudanan V

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