Methods to Detect an Event using Artificial Intelligence and Machine Learning
Arjun Singh, Arun Pratap Srivastava, Garima Bhardwaj, Akshat Jain, Arun Kumar Singh, Ritika
Abstract
Machine Learning can improve and automate how anomalous events can be detected and reported faster than before. Some of the ways events can be easily detected through the use of Artificial Intelligence and Machine Learning Models are, using big data analysis on Twitter and Facebook which are examples of social media sites. to get huge event data and a machine learning model such as SVM to process them to segregate and identify an event as anomalous or not, using CNN ( Convolutional neural network ). This network performs feature extraction and classification in a very optimum way and detects fire hazards at a higher pace. While Convolution Neural Networks are good at extracting 2D localised features, a new 3D feature extraction Model called T-CNN or Tube Convolutional Neural Network can also be used for Event Detection. This paper looks at various methods mentioned above and explains the best way to detect Events using Machine Learning.