For the past five years, the artificial intelligence industry has been effectively synonymous with one word: Transformer.

The market is rapidly shifting toward proactive, data-driven strategies. A focus on integrating artificial intelligence and ...

Cheung, K. , Siu, Y. and Chan, K. (2025) Dual-Dilated Large Kernel Convolution for Visual Attention Network. Intelligent ...

The title might sound like a criticism, but it’s not. If anything, it’s a recognition that even the best of us can occasionally overlook how sizing decisions, while perfect on paper, can shift when a ...

Join the ORBIT (Observational Research Building Interdisciplinary Therapeutic Advances) Interdisciplinary Hub for the upcoming seminar, "Sample Size and Power Calculations in Causal Inference with ...

Equivalence tests often are used for demonstrating bioequivalence between two biopharmaceutical formulations, with the two one-sided test (TOST) being a common, regulator-accepted statistical method ...

ABSTRACT: CsPbBr3 nanowires (NWs) and nanocrystals (NCs) were synthesized via a solution-phase method and systematically characterized to evaluate their structural and optical properties. Field ...

Abstract: This paper explores the innovative application of machine learning to calculate no-load losses in transformers. Existing calculation methods are either insufficiently accurate, as they do ...

Abstract: A distribution transformer shall be selected by the anticipated load schedule and the correlations between transformer parameters and operating conditions. This research aims to justify the ...