A Breast Cancer Diagnosis Method based on VIM Feature Selection and Hierarchical Clustering Random Forest Algorithm
Aim: To detect the breast cancer using K Nearest Neighbor algorithms with the help of data mining techniques. Abstract: Breast cancer is one of the most common cancers among the women. Breast c..
Brain Tumor Identification and Classification of MRI images using deep learning techniques
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques Abstract:Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. The main reason for brain tumors is the uncontrolled development of brain cells. In medical practices..
Convolution neural network based enhanced computerized Technique for brain tumour detection
Aim: To detect and identify the Brain Tumor using Deep-Learning techniquesSynopsis: Brain is the controlling unit of human body. It regulates the functions such as memory, vision, hearing, knowledge, personality, problem solving etc. ..
Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers
Aim: To help doctors and practitioners in early prediction of diabetes using machine learning techniques.Abstract: Diabetes caused due to increase in amount of sugar or glucose which is condensed into the blood Identif..
Efficient Classification Of Diabetic Retinopathy Using Binary Cnn
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Diabetic Retinopathy is a disease that can lead to partial or complete blindness. Research shows that it contributes around 5 percent of the total cases of blindness. Usually it takes about two weeks for the diagnosis of disease; time and money..
Emoji Prediction from Twitter Data using Deep Learning Approach
Aim: To predict an emoji based on text, image and emojis Abstract: Emojis are a very important part of communication in today’s world. It is used to express emotions during a conversation. We collect data from the twitter. Building a system wh..
Hybrid Prediction Models For Rainfall Forecasting
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
Intelligent Crop Recommendation System using Machine Learning
Aim: Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters. We also recommend the crop price using machine learning.Abstract India is one of the leading countries world..
Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence
Aim: To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract: India is one of the leading countries worldwide in terms of farm output. Even after being a leading ..
Machine Learning Based Heart Disease Prediction System
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Abstract: In human life, healthcare is an unavoidable and important task to be done. Cardiovascul..
Naive Bayes Classifier for Predicting the Novel Corona virus
Aim: To detect the COVID-19 using Machine Learning Classification Algorithms Abstract: The Corona-virus 2019(COVID-19), which first occurs in Wuhan city of China in December 2019, spread quickly around the world and became a plagu..
Performance Evaluation of Distributed Machine Learning for Cardiovascular Disease Prediction in Spark
Aim: To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.Introduction: Healthcare means the maintenance or advancement of health through the prevention and diagnosis of people. Nowadays, healthcare is increasing day by day due t..
Plant Disease Detection and Classification by Deep Learning: A Review
Aim: To detect the plant leaf diseases using convolutional neural network for high accuracy detection.Synopsis: Identification of leaf disease is very difficult in agriculture field. If identification is incorrect then there is a huge ..
Prediction of Modernized Loan Approval System Based on 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 major contributing parameter in the financial statements..
Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks
Aim:To predict the high demand need of pickup location for taxi services based on their previous history. Synopsis:The service industry is booming for the last couple of years and it is expected to grow in the near future. One of the important natures of the business is the serve the customer. To effectively utilize the resource at hand is..