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..
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..
Aim: The main aim of this project is to give knowledge regarding Health and diseases of human by receiving user query.Synopsis: Internet has demonstrated itself as a magnificent design over time. Today, billions of people have cont..
Aim: Blindfolded Evaluation Decision tree and its generalization of random forests are a simple yet powerful machine learning model for many classiﬁcation and regression problems.Abstract: Decision tree and its generalization of random forests are a simp..
Domain: Machine Learning ..
Aim: To be precise and accurate in predicting crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters.Abstract India is the land of agriculture and it is the major source of economy.70% of Ind..
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..
Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features
Aim: To detect and classify large-scale multi-class pest using Convolution Neural Network. Synopsis: Regarding the growth of crops, one of the important factors affecting crop yield is insect..
Abstract Large volumes of images are being exponentially generated today from various kinds of imaging devices (smart phones, medical imaging equipment, digital cameras, etc.). Such tremendous growth is further greatly accelerated along with the fast development and wide deployment of diverse In..
Design of face detection and recognition system monitor students during online examinations using Machine Learning algorithms
Aim: To ease the process of attendance during online classes and to prevent malpractice during online assessments. Abstract: Today’s pandemic situation has changed the way of education to students. Education system had comp..
Abstract: Some respondents make careless responses due to the ‘‘satisﬁcing,’’ which is an attempt to complete a questionnaire as quickly and easily as possible. To obtain results that reﬂect a fact, detecting satisficing and excluding the responses with satisﬁcing from the analysis target..
Aim: To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods.Synopsis: Social networking sites have become very popular in recent years. Users use them to find new frie..
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..
Aim: The main aim of this project is to solve the problem of counterfeiting certificates we are proposing an digital certificate system based on block chain technology and to verify the traveler’s identity using live camera, which allows faster convergence and..
Aim: The main aim of this project is to solve the problem of counterfeiting certificates we are proposing an digital certificate system based on block chain technology and to verify the traveler’s identity using live camera, which allows faster convergence and more generaliz..