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Found 8 papers, 0 papers with code
Modeling Effect of Lockdowns and Other Effects on India Covid-19 Infections Using SEIR Model and Machine Learning
We modify R0 parameter in the standard SEIR model as a rectangle in order to account for the effect of lockdowns.
Sparse Distributed Memory using Spiking Neural Networks on Nengo
As an integral part of the SDM design, we have implemented Correlation Matrix Memory (CMM) using SNN on Nengo.
Extraction of Relevant Images for Boilerplate Removal in Web Browsers
Accurate detection and removal of boilerplate content from a webpage can enable the users to have a clutter free view of the webpage or news article.
Field Label Prediction for Autofill in Web Browsers
Automatic form fill is an important productivity related feature present in major web browsers, which predicts the field labels of a web form and automatically fills values in a new form based on the values previously filled for the same field in other forms.
Evaluating Usage of Images for App Classification
However, text based methods for app classification may not work in all cases, such as when the text descriptions are in a different language, or missing, or inadequate to classify the app.
Analysis of Software Engineering for Agile Machine Learning Projects
We compare this data with corresponding data from non-machine learning projects, in an attempt to analyze how machine learning projects are executed differently from normal software engineering projects.
Semi-Supervised Method using Gaussian Random Fields for Boilerplate Removal in Web Browsers
Boilerplate removal refers to the problem of removing noisy content from a webpage such as ads and extracting relevant content that can be used by various services.
IoT2Vec: Identification of Similar IoT Devices via Activity Footprints
The footprints of the data transferred can provide valuable information about the devices, which can be used to (a) identify the IoT devices and (b) in case of failure, to identify the correct replacements for these devices.
