In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Boardroom priorities are shifting from financial metrics toward technical oversight. Although market share and operational ...

Bihar's flood-prone regions now have a new GeoAI framework to assess school vulnerability. Developed by CUSB and Arizona ...

A new peer-reviewed study published in the journal Algorithms signals a major shift in how humanitarian logistics can be ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...

The leading and longest established online Process Engineering publication serving the Process Manufacturing Industries In today’s industrial facilities, condition monitoring plays a critical role in ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, ...

Cities are increasingly becoming the epicenter of climate-related risks, with research showing that impervious surfaces (e.g.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...