Computers can’t understand the text the way we do, but they are good at processing numerical data. So, we need a model which can
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Illustrated Guide to LSTM’s and GRU’s: A step by step explanation
Hi and welcome to an Illustrated Guide to Long Short-Term Memory (LSTM) and Gated Recurrent Units (GRU). I’m Michael, and I’m a Machine Learning
Deep Learning applications for COVID-19 : Survey Paper (2021)
This survey searches how Deep Learning has battled the COVID-19 pandemic and provides ways for future research on COVID-19. It covers Deep Learning applications
Lung Nodule Detection from Feature Engineering to Deep Learning in Thoracic CT Images | Article
Cancer is a disease that has several manifestations and it is primarily associated with abnormal cell groups. These cancer cells continue to divide and
Deep learning for lung Cancer detection and classification | Article
Lung cancer is one of the most important deadly diseases in the world. The recent estimates provided by the World Health Organization (WHO) says
How the future will look like
I just went to the Singularity University summit and here are the key learnings. In 1998, Kodak had 170,000 employees and sold 85% of
A Machine Learning Model for Predicting the Procurement Lifetime of Electronic Units in Sustainment-Dominated Systems
Recently Published Thesis/Dissertation on Machine Learning | 10.01.2020 This praxis is of special interest for operation managers, sustainment engineers, and lifecycle logisticians dealing with
Deep learning based software defect prediction
The complexity of modern software systems is increasing, and the resulting software applications often contain defects that can have severe negative impacts on the
New World AI reveals the most influential articles for 2020 related to Deep Learning
The most highly-cited articles published in Web of Science Database in 2020 related to “Deep Learning” are below. 1. False-Negative Results of Real-Time Reverse-Transcriptase
High-resolution 3D MR Fingerprinting Using Parallel Imaging and Deep Learning | Article
MR Fingerprinting (MRF) is a relatively new imaging framework for MR acquisition, reconstruction, and analysis, which can provide rapid, efficient and simultaneous quantification of