In the last few years, electron microscopy has experienced a new methodological paradigm
aimed to fix the bottlenecks and overcome the challenges of its analytical workflow. Machine …

Since the beginning of the 21st century, the fields of astronomy and astrophysics have
experienced significant growth at observational and computational levels, leading to the …

Exoplanet detection is an extremely active research topic in astronomy. Researchers in the
past have attempted to detect exoplanets using conventional methods like Radial Velocity …

The TESS mission produces a large amount of time series data, only a small fraction of
which contain detectable exoplanetary transit signals. Deep-learning techniques such as …

Computational astronomy is a very important branch in today's era, where physicists or
researchers can use computers to process statistics in astronomical physics. researchers …

The discovery of habitable exoplanets has long been a heated topic in astronomy.
Traditional methods for exoplanet identification include the wobble method, direct imaging …

The search for exoplanets has evolved from case by case data inspection to automatic
pattern recognition methods for processing a very large number of light curves. For this …

In this work, we present a new neural network named WAvelet-Based Broad LEarning
System (WABBLES). WABBLES is based on the flat structure of the broad learning system …

Current rock engineering design in drill and blast tunnelling primarily relies on engineers'
observational assessments. Measure While Drilling (MWD) data, a high-resolution sensor …

Nearly one million light curves from the TESS Year 1 southern hemisphere extracted from
Full Field Images with the DIAmante pipeline are processed through the AutoRegressive …