Market valued at $27.64B in 2024, projected 3.94% CAGR growth driven by petroleum refining, green chemistry, biocatalysts, ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

A new technical paper titled “The Quest for Reliable AI Accelerators: Cross-Layer Evaluation and Design Optimization” was ...

Nanophotonics has become one of the most dynamic frontiers in modern science, enabling unprecedented control of light–matter interactions at the nanoscale.

Over the past decade, structural biology has been profoundly transformed by advances in computational power, algorithmic ...

Abstract: Asthma exacerbations pose a significant global health concern, necessitating effective predictive models to anticipate and manage these events. This systematic literature review examined the ...

ABSTRACT: This note examines the utility of pseudorandom variables (prv) in Global Search and Optimization (GSO) using Central Force Optimization (CFO) as an example. Most GSO metaheuristics are ...

Early stages of ground-effect flight transit vehicle (GEFT) development identify benchmark digital prototype performances with approaches to reduce energy consumption by 20% to 80%. 80% reductions are ...

Computational microscopy combines advances in optical hardware and signal processing to push the boundaries of imaging resolution and functionality. However, acquiring extended information often comes ...