Results 51 to 60 of about 12,984 (168)
ABSTRACT High‐entropy alloys (HEAs) have attracted considerable interest from researchers owing to their tunable chemical compositions, exceptional structural stability, and promising catalytic properties. However, their large‐scale application is often hindered by complex manufacturing techniques and poor durability.
Sheng Guo +9 more
wiley +1 more source
针对长短期记忆神经网络提取特征信息相关性和时间信息依赖性不足的问题,提出基于改进双多头注意力机制的长短期记忆神经网络(improved dual stage attention⁃based long short⁃term memory neural networks, 简称IDSA⁃LSTMNN),以提高滚动轴承剩余使用寿命(remaining useful life, 简称RUL)的预测精度。首先,采用改进的蜘蛛蜂优化器(improved spider wasp optimizer, 简称ISWO ...
doaj +1 more source
Multimodal Relation Extraction Based on Bidirectional Attention Mechanism [PDF]
Conventional relation extraction methods identify the relationships between pairs of entities from plain text, whereas multimodal relation extraction methods enhance relation extraction by leveraging information from multiple modalities.
WU Haipeng, QIAN Yurong, LENG Hongyong
core +1 more source
Abstract Chinese consumer demand for ivory threatens vulnerable African elephant populations, despite long‐standing efforts to combat the illegal wildlife trade. Behavioural science approaches have been proposed to address these systemic behaviours. However, their robust use remains uncommon in demand management interventions.
Molly R. C. Brown +3 more
wiley +1 more source
ABSTRACT TiFe‐based hydrogen storage alloys have garnered significant attention because of their cost‐effectiveness, high hydrogen capacity, and favorable hydrogen absorption/desorption characteristics. However, practical application was limited by activation challenges and sensitivity to environmental poisoning.
Yuehai Li +8 more
wiley +1 more source
本文对钢材于制作与营建过程中产生之残留应力进行了分析和解释,详细阐述了残留应力产生的机理和实用的检测方法,提出了残留应力的消除方法,以及于规划及设计中应注意之事项。
陈纯森
doaj
机器翻译是指利用计算机将一种语言文本转换成具有相同语义的另一种语言文本的过程。它是人工智能领域的一项重要研究课题。近年来,随着深度学习研究和应用的快速发展,神经网络机器翻译成为机器翻译领域的重要发展方向。该文首先简要介绍近一年神经网络机器翻译在学术界和产业界的影响,然后对当前的神经网络机器翻译的研究进展进行分类综述,最后对后续的发展趋势进行展望。国家自然科学基金(61672440)国家语委一般项目课题(YB135-49)厦门大学校长基金(ZK1024)国家重点研发计划 ...
刘庆 +5 more
core
Food Image Classification Based on CBAM-Inception V3 Transfer Learning [PDF]
To improve the accuracy of automatic recognition and classification of food images, a classification model CBAM- InceptionV3 is proposed, which embeds the Convolutional Block Attention Module.
CUI Xiao-yi +3 more
core +1 more source
ABSTRACT Dielectric ceramics are popular for energy storage materials because of their rapid charge–discharge characteristics, whereas their low energy density and efficiency hinder their miniaturization and integration. In this work, the energy storage performance is significantly enhanced through introducing Al2O3 and TiO2 into the 0.425(Bi0.5Na0.5 ...
Qiansi Zhang +9 more
wiley +1 more source
SWEET1‐mediated glucose transport is crucial for energy availability in Arabidopsis
Summary The stress‐responsive hormone abscisic acid (ABA) is known for its inhibitory effects on various physiological processes, including seed germination, often resulting in energy deprivation. Interestingly, ABA‐induced germination inhibition can be alleviated by exogenous glucose (Glc), mimicking a functional interplay between ABA and sugar ...
Xueyi Xue +3 more
wiley +1 more source

