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From the Margins: Potential Coalitions in Centralized, High‐Capacity States

Policy Studies Journal, Volume 54, Issue 4, November 2026.
ABSTRACT The early stages of coalition formation remain an understudied area, particularly in centralized, high‐capacity political systems. Examining actor dynamics at this formative stage can reveal how coalitions form and how limited pluralism constrains their development.
Sreeja Nair, Yuhao Ba, Mohnish Kedia
wiley   +1 more source

无线网络信号传输建模：一种区间二型模糊集成深度学习方法

智能科学与技术学报, 2020
针对常用的信号传输模型存在使用场景单一、预测精度不佳的问题，提出一种适用于多场景的数据驱动无线信号传输模型。首先根据先验知识从预处理后的数据构造初始特征，接着进行特征选择，以得到输入特征集合。然后分析建模需求，选择深度置信网络（DBN）、残差网络（ResNet）和堆叠自编码器（SAE）作为区间二型模糊规则的后件（个体深度学习器），经过区间二型模糊推理进行集成。最后采用5G网络信号传输实测数据，并进行实验验证。结果表明，3种个体深度学习器在测试集上的表现均优于Cost231-Hata模型和反向传播神经网络（
赵亮, 谢志峰, 张坤鹏, 郑玉卿, 付园坤   +4 more
doaj  

Multi‐Objective Collaborative Process Optimization Based on Deep Learning of Laser In Situ Forging Additive Manufacturing Ti‐6Al‐4V

Rare Metals, Volume 45, Issue 9, September 2026.
ABSTRACT Aiming at the problems of insufficient forming quality and poor surface performance in the preparation of Ti‐6Al‐4V alloy by laser powder bed fusion (LPBF), this study proposed a laser in situ forging additive manufacturing (LIF‐AM) technology, which integrates LPBF with femtosecond laser in situ shock forging and realizes defect control and ...
Peng He, Yuming Huang, Wenhe Wang, Chao Wang, Yi Zhang, Min Huang, Shulun Yu, Haocheng Liu, Xinlei Pan, Lu Wang, Liucheng Zhou   +10 more
wiley   +1 more source

A study on time series prediction model based on CRBM algorithm(基于CRBM算法的时间序列预测模型研究)

Zhejiang Daxue xuebao. Lixue ban, 2016
针对受限玻尔兹曼机(restricted Boltzmann machines，RBM)算法对时序数据预测存在抽取抽象特征向量能力较差和梯度下降能力有限的问题，基于CRBM(conditional restricted Boltzmann machines)算法以及信念网络(deep belief network,DBN)模型，构建了 一种非线性的CRBM-DBN深度学习模型，并采用高斯分布处理输入特征值和对比散度抽样，用于预测时序数据.实验以浙江省近岸海域赤潮时序数据作为输入特征值 ...
ZHOUXiaoli(周晓莉), ZHANGFeng(张丰), DUZhenhong(杜震洪), CAOMinjie(曹敏杰), LIURenyi(刘仁义)   +4 more
doaj   +1 more source

Rethinking law in books versus law in action in China's first experiment of a personal insolvency regime: Towards a more debtor‐oriented procedural design

International Insolvency Review, Volume 35, Issue 2, Page 406-435, Summer 2026.
Abstract Although a local experiment, the promulgation of the Regulations of Shenzhen Special Economic Zone on Personal Bankruptcy (SPBR) in 2020 was hailed as a significant milestone in China's insolvency lawmaking which has thus far addressed only corporate insolvencies.
Jenny Fu, Jin Chun
wiley   +1 more source

基于深度学习融合的高压电缆局部放电诊断算法研究

Gaoya dianqi, 2023
为了研究电力电缆局部放电的模式识别，解决传统单一智能算法识别率低的问题，文中提出了一种融合多深度学习算法的混合智能算法。首先，设计并制作5种典型缺陷模型以模拟实际电力电缆中的缺陷，据此展开实验并收集数据；然后，通过对PRPD谱图的相窗归一化、去极端值等改进，以及绘制PRCD谱图，更全面凸显局部放电有用特征；最后，训练基于PRPD或PRCD的多种深度学习分算法，通过可信度融合得到混合智能算法。实验结果表明，该混合智能算法相比常规单一深度学习算法识别率有显著提升，总体可达98.504 ...
杨朝锋, 王敏, 赵胜男, 吴宁, 董泉, 崔杰, 韩旭涛   +6 more
doaj  

High‐Throughput Development of Advanced Metallic Glasses via Compositionally Graded Thin‐Film Combinatorial Strategy

Rare Metals, Volume 45, Issue 8, August 2026.
ABSTRACT Advanced metallic glasses, leveraging their ultrahigh strength, excellent corrosion resistance, superior soft magnetic properties and good biocompatibility, have gradually become indispensable strategic cornerstones in critical fields such as aerospace, electronic information and energy power. This unique combination of properties enables them
Yizhou Liu, Yebei Wang, Jinning Xie, Meichen Jian, Yunhe Gao, Yue Huang, Yan Li, Wenlin Liu, Fu Xu, Juntao Huo, Junqiang Wang, Meng Gao   +11 more
wiley   +1 more source

Multimodal Deep Learning‐Assisted Microstructural Evaluation System for Sintered NdFeB Magnets

Rare Metals, Volume 45, Issue 8, August 2026.
ABSTRACT The performance of sintered NdFeB magnets, especially coercivity, is critically determined by their complex microstructure. However, a quantitative microstructural evaluation system (MES) is much needed but has long been missing in the community.
Zihao Wang, Shengen Guan, Xiaoqian Bao, Yalin He, Chuan Ji, Lai Wei, Yue Shen, Jiheng Li, Xuexu Gao   +8 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Linguistic Analyses of Written Corrective Feedback for Chinese as a Second Language: ChatGPT Versus Human Teachers

International Journal of Applied Linguistics, Volume 36, Issue 3, Page 2098-2109, August 2026.
ABSTRACT This study conducted linguistic analyses of the written corrective feedback (WCF) for Chinese as a second language (CSL) provided by chat generative pre‐trained transformer (ChatGPT) and human teachers (including preservice teachers and senior teachers).
Ling Zhang, Jingjing XU, Hoang Anh Nguyen   +2 more
wiley   +1 more source