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 contrasted with cus..
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 compute..
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..
Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic
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..
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: This paper aim to detect Real time driver's fatigue state using Convolutional Neural Network (CNN) Synopsis: Accidents are more due to the driver’s drowsiness; it has been recorded that more than 40% of chances that acciden..
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 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..
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..
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: To predict a emoji based on text, image and emojis Synopsis: Emojis are a very important part of communication in today’s world. It is used to express emotions during a conversation. Building a system which can suggest emoticons based on the text provided can be very useful.It..
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..
Aim: Analyze the rain fall data from database for rain prediction.Abstract: &nbs..
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..