The photosynthetic pigment content of forest tree leaves is an important factor affecting
photosynthesis in forest trees, and the non-destructive measurement of photosynthetic …

Due to their substantial energy density and economical pricing, switching-mode power
supplies (SMPSs) often utilize electrolytic capacitors. However, their ability to function at low …

By exploiting massive amounts of data, machine learning techniques provide actuaries with
predictors exhibiting high correlation with claim frequencies and severities. However, these …

Regression modeling for insurance pricing mostly focuses on mean estimation. Using a
strictly consistent loss function implies that the mean estimates are asymptotically correct …

This study investigates the possibility of utilizing drip as a non-destructive method for
assessing the freshness and spoilage of chicken meat. The quality parameters [pH, volatile …

The role of transformers in power distribution is crucial, as their reliable operation is
essential for maintaining the electrical grid's stability. Single-phase transformers are highly …

We discuss some of the professional consequences of rapid advances in deep learning
techniques applied to actuarial science. Since actuarial work is highly regulated by …

Antimicrobial Susceptibility Test (AST) is a highly effective diagnostic method for determining
the most suitable antibiotic and its optimal dosage. Conventional AST methods, such as the …

Deep learning refers to the modern approach to designing and fitting deep neural networks,
which has achieved excellent performance on numerous different types of artificial …

To enhance the overall reliability of the power system, engineers have redirected their focus
toward health monitoring and early detection of faults in transformers. Among these faults …