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: To determine the customer 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 contributin..
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: The aim of this research is to improve the accuracy and contextual understanding of sentiment analysis in COVID-19-related tweets by combining the rule-based approach of TextBlob with the deep learning capabilities of GPT-2.Abstract: The preva..
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..
Particle Swarm Optimization Based Support Vector Machine (P-SVM) for the Segmentation and Classification of Plants
Abstract: The agricultural land mass is more than just being a feeding sourcing in today’s world. Indian economy is highly dependent of agricultural productivity. Therefore in field of agriculture, detection of disease in plants plays an important role. To detect a pla..
Aim: Analyze the flood data from database for flood prediction.Abstract: ..
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..
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 Identifying process of diabetes is the glucose an..
Aim: The aim of the project is will develop the Internet of Things (IoT) and deep Learning in the field of Road Safety and accident prevention. Abstract Thi..
Technology: Machine Learning Too..
Aim: The aim of this study is to enhance emotion analysis in the cryptocurrency market using a GPT-2 model, providing a nuanced understanding of public perceptions towards cryptocurrency transactions. This proposed system leverages the capabilities of GPT-2 to predict positive, negative, or neutral emotions..