The bookshelf problem (which computer scientists call the “list labeling” problem) is one of the most basic topics in the field of data structures. “It’s the kind of problem you’d teach to freshman or ...

In Optica Quantum, Okinawa Institute of Science and Technology (OIST) researchers propose the first practical application of ...

Medulloblastoma the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

A combined sewer community can leverage the following from machine learning: Algorithm speed can provide a result in seconds compared to traditional models that may require hours or days. The speed of ...

In the crystal engineering field, the design and synthesis of pharmaceutical cocrystals are crucial for enhancing the physicochemical properties of active pharmaceutical ingredients (APIs) and for ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

The proposed approach allows us to (1) decide whether to use a heuristic or exact solution approach and (2) tune the exact algorithm if needed. The results show that machine learning can be used to ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...