Federated Learning (FL) is a technique to train models on distributed edge devices with local
data samples. Differential Privacy (DP) can be applied with FL to provide a formal privacy …

Recent advances in deep learning and automatic speech recognition (ASR) have enabled
the end-to-end (E2E) ASR system and boosted the accuracy to a new level. The E2E systems …

With increasingly more powerful compute capabilities and resources in today's devices,
traditionally compute-intensive automatic speech recognition (ASR) has been moving from the …

This study investigates the impact of water levels and soil texture on the migration and
transformation of nitrate (NO 3 − -N) and ammonium (NH 4 + -N) within a soil column. The …

Objective: The influence of Ziyin Huoxue Prescription on inflammatory factors, including the
levels of IL-1β, IL-8 and TNF-α in rats with ischemic brain injury were observed. Methods: 60 …

ObjectiveTo investigate the effect of Danggui Shaoyaosan (DSS) on the morphology and
function of mitochondria in rats model of Alzheimer's disease (AD) and its possible mechanism. …

In this note, we interpolate geomagnetic field values on non-sampled boundary regions with
modified Shepard method for improving the boundary conditions and increasing precision …

The physical fundamentals related to the characteristics of lithium batteries are analyzed from
the perspective of computational physics, which has important significance for optimizing …

Balancing ecological preservation with sustainable agricultural practices is a global issue.
Erhai Lake has felt this challenge keenly. To address it, in 2022, a Science and Technology …

Aims: The Yellow River Basin is a key area for migratory birds and a biodiversity hotspot in
China. The diversity of waterbirds plays a vital role in maintaining regional ecological balance …