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 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. Cardiovascu..
Aim: To apply machine learning techniques result in improving the accuracy in the liver disease prediction. Abstract: The life of humans living without liver tumors is one of the fun..
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..
Aim The main aim of this project is to study the problem of secure skyline queries over encrypted data. The skyline query is particularly important for multi-criteria decision making but also presents significant challenges due to its complex computations.Synopsis T..
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..
I-Am: Implicitly Authenticate Me Person Authentication on Mobile Devices Through Ear Shape and Arm Gesture
Abstract Biometric based person authentication and identification have become common practices in many contexts, and their diffusion is expected to steadily grow in the next years also thanks to the diffusion of the latest generation of mobile devi..
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..
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 ..
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction
Technology: Machine Learning &nbs..
Aim: The main aim of the project is to auto detect any violence action in public place and send alert notification in IoT. We use deep learning and embedded to implement. Abstract: Due to the increasing number of vio..
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..
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..
Abstract: Scene text is one of the most common objects in the nature, which frequently appears on many practical scenes and contains important information for many applications such as blind navigation, scene understanding, autonomous driving, etc. Scene text detection (STD) is an irreplaceabl..