This article discusses a new approach to forecasting patient ailments by utilizing sophisticated medical data classification methods. The study focuses on Chronic Kidney Disease…
Browsing: Pre-Processing
This article reviews various deep learning phase recovery methods from four perspectives: deep-learning-pre-processing for phase recovery, deep-learning-in-processing for phase recovery, deep-learning-post-processing for phase recovery,…
This article reviews the various deep learning phase recovery methods from four perspectives: deep-learning-pre-processing for phase recovery, deep-learning-in-processing for phase recovery, deep-learning-post-processing for phase…
This review article discusses the use of deep learning (DL) for phase recovery (PR). It outlines the three stages of pre-processing, in-processing, and post-processing…
WiMi Hologram Cloud, a leading global Hologram Augmented Reality (“AR”) Technology provider, recently announced the development of a big data intelligent decision-making system based…
This article presents a methodology for the classification of bladder cancer using Vision Transformer (ViT) models. The dataset used for this research is a…
Namratha Vempaty is a data scientist with 7+ years of experience in data science, machine learning, AI engineering, and data visualization. She has developed…
This article discusses the use of digital EEG analysis to detect seizures and other brain conditions from EEG data. It explains the three main…
fusion: The next step is to fuse the multi-modal data collected from different sources. This step is to combine the data from different modalities…
Data Analysis is a crucial task that needs to be performed at every stage in order to understand the trends in the market and…