Aim: To mainstay of this project is to efficiently apply CNN for fire detection in videos captured in uncertain surveillance scenariosSynopsis: Tactile Internet can combine multiple technologies by enabling intellig..
Evaluating Machine Learning Techniques for Detecting Offensive and Hate Speech in South African Tweets
Aim:The objective of this project is to develop a system to identify the tweet harbor hatred in micro blogs during disaster events.Synopsis: Social media reach is widespread such that information travels very fast without any geographical border or constrained. People are..
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: To apply machine learning techniques resulting in improving the accuracy in the prediction of cardiovascular diseaseSynopsis: Millions of people today are suffering from various diseases that can prove fatal. Disease..
Aim:To automate the detection of presence of ships and to classify the types of ships available in the given Image. Synopsis:The detection of inshore and offshore ships is an essential task for a large variety of applications in both military and civilian fields. For example, in the civil field, ship detection plays a strong supervisory r..
Aim:To predict and Anticipation Emoji for multimedia retrieval.Synopsis: Over the past decade, emoji have emerged as a new and widespread form of digital communication, spanning diverse social networks and spoken languages. We propose treating these ideograms as a new modality in their own right, distinct in ..
Aim:The objective of this project is to develop a system to identify the tweet harbor hatred in micro blogs during disaster events.Synopsis:Social media reach is widespread such that information travels very fast without any geographical border or constrained. People are forwarding information without checking the credibility of the message. I..
PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification
Aim: To detect and classify large-scale multi-class pest using Convolution Neural Network. Synopsis: Regarding the growth of crops, one of the important factor..
Aim: This paper aim to detect Real time driver's fatigue state using Convolutional Neural Network (CNN) Synopsis: Drowsy driving is one of the major causes of road accidents and death. Hence, detection of driver’s fati..
Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolution Neural Networks
Aim: To detect the apple leaf diseases using convolutional neural network for high accuracy detectionSynopsis: Plant diseases are a major threat to plant growth and crop yield and many researchers have expended subs..
Synopsis: Pedestrian detection has made significant advances benefiting from the region-based convolutional neural networks (R-CNN). The project introduces a strict matching metric, which is beneficial to selecting well-aligned positive samples A positive sample matches a ground truth only i..