Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based ...

Healthcare is a complex socio-technical system, not a purely technical environment. Clinical decisions are shaped not only by ...

Quantum computing poses a real and growing threat to established cryptographic algorithms like RSA and Elliptic Curve Cryptography (ECC), which form the backbone of digital security for DLT networks ...

The integration of artificial intelligence (AI) with imaging has emerged as a transformative force in the field of oral ...

Precision Solutions for Semiconductors and Electronics The semiconductor industry represents the pinnacle of precision ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.

These data were aggregated from a number of sources including the American Community Survey (https://www.census.gov), https://www.clinicaltrials.gov, and https://www.cancer.gov. Significant ...

In the context of a continually growing global population and rising food demand, fruit, as an important source of nutrition, requires quality grading and efficient processing, which are critical ...

Abstract: In this article, a deep-learning (DL) algorithm is proposed to efficiently predict the pattern of the antenna array. By establishing the Bayesian-optimized convolutional neural network (CNN) ...