Results 81 to 90 of about 9,987 (195)

Enhancing Federated Learning in IoT: A Quality‐Based Incentive Mechanism With Stackelberg Game Modelling

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a quality‐based incentive mechanism for federated learning (FL) in Internet of Things (IoT) systems using a Stackelberg game framework. The mechanism rewards clients based on the quality of their uploaded models, ensuring fairness and motivating higher‐quality contributions.
Qinchi Li, Haitao Zhao, Qin Wang, Weicong Zhang, Yangzhi Chen, Zhixiang Hu   +5 more
wiley   +1 more source

Cost-Sensitive Hypergraph Learning With Structure Quality Preservation for IoT Software Defect Prediction

IEEE Open Journal of the Communications Society
Generative AI is revolutionizing Software Engineering (SE), as both engineers and academics embrace this technology in their work. To better leverage this technology for software generation, it is essential to propose effective IoT software defect ...
Nan Wang, Jiqiang Liu, Bing Du, Qinxin Zhao, Yuanlin Sun, Tao Zhang, Dunqiu Fan, Wenjin Li, Binyong Li   +8 more
doaj   +1 more source

Relational Learning with Hypergraphs

, 2013
Keywords: relational learning ; hypergraph learning ; spectral graph theory ; recommender system ; network traffic inspection These Ecole polytechnique federale de Lausanne EPFL, n° 5807 (2013)Programme doctoral Informatique, Communications et InformationFaculte informatique et communicationsInstitut d'informatique fondamentaleLaboratoire d ...
openaire   +1 more source

Unsupervised Anomaly Detection Based on LLM for Heterogeneous Multivariate Time Series in the Intelligent Computing Center

IET Communications, Volume 20, Issue 1, January/December 2026.
This paper proposes a novel anomaly detection framework for non‐independent and identically distributed (non‐IID) data from heterogeneous devices. First, we introduce a chain of thought metric alignment and ranking mechanism based on a large language model to meet the data heterogeneity challenge.
Xingguo Jiang, Yue Wang, Chunpeng Wu, Xiaohui Wang, Hongyin Chen, Zhenying Tai, Hao Yue, Chang Liu   +7 more
wiley   +1 more source

On The Effect of Hyperedge Weights On Hypergraph Learning [PDF]

, 2014
Hypergraph is a powerful representation in several computer vision, machine learning and pattern recognition problems. In the last decade, many researchers have been keen to develop different hypergraph models.
Elgammal, Ahmed, Huang, Sheng, Yang, Dan
core  

Hyperbolic multi-channel hypergraph convolutional neural network based on multilayer hypergraph

Scientific Reports
In recent years, hypergraph neural networks have achieved remarkable success in tasks such as node classification, link prediction, and graph classification, thanks to their powerful computational capabilities.
Libing Bai, Feng Hu, Chunyang Tang, Zhangyu Mei, Chuang Liu   +4 more
doaj   +1 more source

A Two‐Stage SlowFast‐YE Network for Robust Recognition of Crew Irregularities on the Bridge

IET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
Innovative network structure: Our proposed SlowFast‐YE network is a real‐time, robust two‐stage network designed specifically for identifying various crew irregularities on ship bridges. Key technologies: The incorporation of Softpool and EPSA techniques enhances cross‐scale feature extraction in complex ship bridge scenes.
Deshan Chen, Long Jiang, Liang Fan, Di Zhang   +3 more
wiley   +1 more source

A Hybrid Deep Learning Framework for Early Detection of Ovarian Cancer Using Ultrasound and MRI Images on a Secure Cloud Platform

Complexity, Volume 2026, Issue 1, 2026.
Ovarian cancer continues to pose a major diagnostic challenge, as early‐stage disease often presents with subtle and heterogeneous imaging characteristics that limit the effectiveness of single‐modality analysis. In response to this challenge, this study proposes a novel hybrid deep learning framework for the early detection and classification of ...
Umesh Kumar Lilhore, Vanusha D., Srilatha Gundapaneni, Anto Lourdu Xavier Raj Arockia Selvarathinam, Rasmi A., Sarita Simaiya, Lidia Gosy Tekeste, Ehab Seif Ghith, Heba G. Mohamed, Raul Alcaraz Martinez   +9 more
wiley   +1 more source

Position-Awareness and Hypergraph Contrastive Learning for Multi-Behavior Sequence Recommendation

IEEE Access
Existing multi-behavior sequential recommendation methods obtain users’ interest preferences by analyzing their historical multi-behavior information to uncover users’ potential intentions in multi-behavior sequential recommendation ...
Sitong Yan, Chao Zhao, Ningning Shen, Shaopeng Jiang   +3 more
doaj   +1 more source

How Does Reverse‐Conformity Ambivalent Psychology Influence Rumor Spreading?

Discrete Dynamics in Nature and Society, Volume 2026, Issue 1, 2026.
In the age of social media, rumor dissemination brings serious negative impacts to society. It is important to explore the dissemination mechanism and management strategies to control rumor dissemination and reduce negative impacts. Considering the effect of reverse‐conformity ambivalent psychology on the rumor dissemination process, a novel dynamic ...
Jiaqi Zhang, Yanyuan Su, Zhengxin Yan, Yaming Zhang, Ahmed Ezzat Matouk   +4 more
wiley   +1 more source