Abstract: Big Data though it is a hype up-springing many technical challenges that confront both academic research communities and commercial IT deployment, the root sources of Big Data are founded on ...

In literature, the convolutional neural networks (CNN) models were used for stock market forecasting and gave successful results. But, data imbalance due to labeling and feature selection problems ...

Is it ready to be predictive as well? Mobile location data has become an increasingly important tool for retailers making site selection decisions. During its time in commercial real estate ...

Initially, individuals under the age of 20 were excluded, followed by the exclusion of those lacking data on stroke, dietary vitamin B1, and related covariates. Ultimately, 13,055 participants were ...

Nearly half of sequencing data labeled as endometriosis lacks true disease representation, highlighting the urgent need for more diverse and accurate tissue sampling to advance research in this ...

This paper addresses considerations around the acceleration of study selection, data extraction and risk of bias (RoB) assessment in RRs. If a RR is being undertaken, review teams should consider ...

such as missing data on race, survival, TNM stage, PSA level, Gleason score, or other key clinical variables. The inclusion and exclusion process are depicted in Figure 1. Figure 1. Study design and ...

Risk Disclosure: Trading in financial instruments and/or cryptocurrencies involves high risks including the risk of losing some, or all, of your investment amount, and may not be suitable for all ...

Each year we publish a plain-language review of the FARs and Advisory Circulars pertaining to the use of iPads and electronic ...

This policy ensures your business and employees use AI correctly by providing greater data insights and threat protection. Maintain Ethics — Avoid the misuse of AI at your organization.