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Industrial Artificial Intelligence, Volume 1
Volume 1, Number 1, 2023
- Kwabena Abrokwah-Larbi:
The role of generative artificial intelligence (GAI) in customer personalisation (CP) development in SMEs: a theoretical framework and research propositions. - Wei Dai, Chuanfeng Ning, Shiyu Pei, Song Zhu, Xuesong Wang:
Orthogonal stochastic configuration networks with adaptive construction parameter for data analytics. - Gleb Cyganov, Artem Rychenkov, Aleksandr Sinitca
, Dmitry I. Kaplun:
Using the fuzzy integrals for the ensemble-based segmentation of asphalt cracks. - Zijun Cheng, Aijun Yan:
A case weighted similarity deep measurement method based on a self-attention Siamese neural network. - Fangyu Li, Junnuo Lin, Honggui Han:
FSL: federated sequential learning-based cyberattack detection for Industrial Internet of Things. - Jinghui Qiao, Ningkang Xiong, Zhong Pan:
Modeling and parameter identification of verification systems using stochastic configuration networks. - Weilin Yang, Yongqiang Fan, Dezhi Xu, Tinglong Pan, Yue Dong:
A stochastic configuration networks-based nonsingular fast terminal sliding mode control approach for indirect matrix converter-driven permanent magnet linear synchronous motors. - Jingcheng Guo, Aijun Yan, Jian Tang:
A robust transfer deep stochastic configuration network for industrial data modeling. - Shuyue Chen, Jiaolv Wu, Jian Lu, Xizhao Wang:
A mathematical model for efficient extraction of key locations from point-cloud data in track area. - Simone Ercolino, Alessio Devoto, Luca Monorchio
, Matteo Santini, Silvio Mazzaro, Simone Scardapane:
On the robustness of vision transformers for in-flight monocular depth estimation. - Anja Stadlhofer, Vitaliy Mezhuyev:
Approach to provide interpretability in machine learning models for image classification. - Haibin Zhou, Lujiao Shao, Boxiang Jia, Haijun Zhang:
𝕋2Net: an improved image-based text transfer framework using background inpainting and text conversion.
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