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 ..
Aim: To automate the detection of presence of ships and to classify the types of ships available in the given Image. Synopsis: High resolution satellite image processing is one of the most growing fields in research today. There is so much to explore and so many ways to do it that it seems full of endless opportunities and possibilitie..
Aim: To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy.Synopsis: The corona virus disease 2019 (COVID-19) has globally infected over 2.7million people and caused over 180,000 deaths. There are several similar large scale ser..
Aim: Analyze the flood data from database for flood prediction using machine learning techniques. Synopsis: Natural and environmental sciences are one of the scientific domains which seek a lot of at..
Aim: This mainstay of this paper is to detect the diabetic retinopathy disease identification using deep learning methods.Synopsis: Diabetic re..
Automatic Detection and Monitoring of DiabeticRetinopathy Using Efficient Convolutional NeuralNetworks and Contrast Limited Adaptive Histogram Equalization
Aim:This paper aim to detect the diabetic disease identification using deep learning methods.Synopsis:Diabetic Retinopathy is a complication of diabetes that is caused due to the changes in the blood vessels of the retina and is one of the leading causes of blindness in the developed world. Up to the present, Diabetic Retinopathy is still scre..
Aim: The main aim of this project is to provide a reliable and secure cloud service and also increase trustworthiness of certifications by Continuous Auditing.Introduction: An increasing number of organizations outsource their data, applications and bu..
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques. Abstract: Medical image processing is that the one among the foremost demanding and promising field nowadays. Tumor is a rapid uncontrolled growth of cell. The tumor are often classified as benign, malignant and premalignant. When a tumor is noticed as maligna..
Breast Cancer Detection Using Extreme Learning machine Based on Feature Fusion with CNN Deep Features
Aim: To classify benign and malignant breast masses using machine learning algorithm based on Feature Fusion. Synopsis: Cancer is a class of diseases, which is driven by changing cell of the b..
AIMTo 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 Indian population directly rely..
Aim: To detect the plant leaf diseases using convolutional neural network for high accuracy detection Synopsis: Plant diseases are a major threat to plant growth and crop yield and many researchers have e..
Aim: To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis: Vision based fire detection framework has lately picked up popularity when contrast..
Aim: This paper aims to help doctors and practitioners in early prediction of diabetes using machine learning techniques. Synopsys: A dataset of a patient’s medical record is obtained and different machine learning algorithms are applied on the dataset. Performance and accuracy of the applied algorithms i..
Aim: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Heart disease is one of the most significant causes of mortality in the world today..
Aim: To detected the Brain Tumor using Two-Pathway-Group Conventional Neural Networks.Synopsis: Brain tumor identification is really challenging task in early stages of life. But now it became advanced with deep-learning. Now a day’s issue of..