Coal Mine Disaster Prediction

Abstract

Coal may be an exceptionally imperative common asset to our nation. There are numerous perilous conditions like increment in temperature and mugginess, discharge of hurtful gasses. These conditions make an unsafe environment for specialists to work in and posture a hazard to their lives. Hence security of the specialist in a coal mine has ended up a genuine issue to be tended to. It is very troublesome to screen all environment conditions ceaselessly in a coal mine by human creatures. There can be a duty-bounded setup with the technique to feel the original atmosphere of the mine and determine whether it matches for a human being's presence. In the event that not, the framework ought to alarm the laborer around the threat. That way the framework should be able to help dodge the devastation. To serve this reason ready to combine IoT and Machine Learning Forecast procedures such as Ensemble Learning to ceaselessly take the test set from the coal mine environment and utilize history of conditions to foresee the threat is created.

Hindi Fake News Detector

“…Data is collected either by web scraping [1], a website can be used to scrap fake news and true news and various classifiers like SVM [1] [7,13], random forests [1,3,4,8] or the combination of both like in [13] where SVM-RF produces a higher accuracy can be used. Kaggle and other websites can be used to collect datasets but, in this project, web scraping is done.…”

“…Graph Transformer network (GTN) [2] can also be used but the limitation here is emotions and sentiment analysis has not been taken into consideration which vastly effects the results. TF-IDF and count vectorizer [3,5,7,8] is used for feature extraction and a weighing scheme [7] that assigns weights to the features involved can be implemented for feature extraction. A BERT based deep learning approach [10] is implemented and python libraries are used for the same.…”

Design of Smart Medical Mirror using Raspberry Pi

“…Harshitha R [4] "Smart Mirror" They proposed information displayed device using raspberry pi and LCD. This device is helpful for displaying the general data like weather report, date and time.…”

Spatial-Temporal Data Integration Modeling and Dynamic Simulation of Coal-Rock Dynamic Disasters

“…Zhu et al used the measured environment integrated data to realize the construction of the data model of the mine shaft and the roadway system [9]. Harshita uses a multiclass support vector machine to train the sampled data to identify coalrock dynamic disasters [10]. In view of the fact that traditional monitoring technology can only detect the stress or strain data of the shallow surrounding rock, it cannot detect the shortage of deformation data in the deep part and in front of the excavation front.…”