A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

Abstract: Multiple response optimization (MRO) aims to obtain an optimal solution by optimizing several responses simultaneously for quality improvement. The preference parameters in the traditional ...

Abstract: The challenge of maneuvering target tracking lies in the difficulty of handling the uncertainty of target motion types and the uncertainty of maneuvering parameters simultaneously. In this ...

Portugal-based outdoor lighting technology specialist Omniflow has launched a flexible streetlight system that integrates wind-solar power generation. In addition to providing lighting, the system, ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

1 Department of Cardiopulmonary Function, Henan Provincial People’s Hospital, Zhengzhou University People’s Hospital, Zhengzhou, China 2 Department of Respiratory and Critical Care Medicine, Henan ...

We do find, though, that it can be very beneficial to run multiple runs of L-BFGS-B with different initial parameters/conditions, and the functions that we evaluate are parallelizable (torch models ...

The Automated Route Reconnaissance Kit (ARRK) is a little-known capability outside the engineer regiment. It has incredible potential to positively affect other warfighting functions. Using the ARRK ...

Python 3.11 introduced the Specializing Adaptive Interpreter. When the interpreter detects that some operations predictably involve the same types, those operations are “specialized.” The generic ...