Despite what you might have heard, cold applications aren’t dead. They just require a lot more nuance and strategy than they used to. I recently came across a LinkedIn post from a chief human ...
In the rapidly evolving landscape of modern manufacturing and engineering, a new technology is emerging as a crucial enabler-Data-Model Fusion (DMF). A recent review paper published in Engineering ...
Abstract: Canonical correlation analysis (CCA) is a classical statistical tool that enables processing of multiview data in a plethora signal processing, machine learning and data mining applications, ...
Department of Theoretical Chemistry, Institute of Chemical Sciences, Faculty of Chemistry, Maria Curie-Skłodowska University in Lublin, Maria Curie-Skłodowska Sq. 3, 20-031 Lublin, Poland ...
The Thermoplastic Sandwich Moulding technology that won this year’s JEC Innovation Award in the Automotive and Road Transport category is the result of collaboration between several players. It has ...
In the search for more sustainable uses of cellulose, scientists have developed a production method for a nanofibrous cellulose matrix, which has the potential to replace non-renewable industrial even ...
Controllable Learning (CL) is emerging as a crucial component of trustworthy machine learning. It emphasizes ensuring that learning models meet predefined targets and adapt to changing requirements ...
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