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Agricultural Loan Recommender System – A Machine Learning Approach
Aim: To determine the loan approval system using machine learning algorithms.Abstract: Loan approval is a very important process for banking organizations. The systems approved or reject the loan applications. Recovery of loans is a ma..
ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition
Aim: To efficient CNN based system for fire detection in videos captured in uncertain surveillance scenariosSynopsis: Vision based fire detection framework has lately picked up popularity when contrasted ..
Crop Yield Prediction Using Random Forest Algorithm
Aim: Predict the crop type and price of the crop using machine learning methodology with accurate results.Abstract India is the land of agriculture and it is the major source of economy. 70% of..
Face Detection and Recognition for Criminal Identification System
Aim: To detect and recognize the face and we can differentiate between citizen and criminals and further investigate whether the identified person is criminal or not.Abstract: Face recognition can be..
Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks
Aim: This paper aim to classify the different types of videos using deep learning framework with convolution neural network (CNN) Abstract: Video classification has been extensively researched in comp..
Measuring the Heart Attack Possibility using Different Types of Machine Learning Algorithms
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: Heart disease is one of the most significant problem is arising in the world today. Cardi..