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Geoffrey Aerts and Guy Mathys
This study investigates digitalization in the shipping industry by analyzing over 500 industry presentations from an eight-year span to discern key trends and nascent signals. Employing optical character recognition, advanced natural language processing ...
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Jie Wang, Jie Yang, Jiafan He and Dongliang Peng
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us...
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Alireza Rezvanian, S. Mehdi Vahidipour and Ali Mohammad Saghiri
Artificial immune systems (AIS), as nature-inspired algorithms, have been developed to solve various types of problems, ranging from machine learning to optimization. This paper proposes a novel hybrid model of AIS that incorporates cellular automata (CA...
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Min Xu, Wenjie Tian and Xiangpeng Zhang
The three-degrees-of-freedom (3-DOF) parallel robot is commonly employed as a shipborne stabilized platform for real-time compensation of ship disturbances. Pose accuracy is one of its most critical performance indicators. Currently, neural networks have...
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Hana Alostad, Shoug Dawiek and Hasan Davulcu
The Kuwaiti dialect is a particular dialect of Arabic spoken in Kuwait; it differs significantly from standard Arabic and the dialects of neighboring countries in the same region. Few research papers with a focus on the Kuwaiti dialect have been publishe...
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Muhammad Izzuljad Ahmad Fuad, Maman Hermana, Makky Sandra Jaya and Muhammad Anwar Ishak
This article demonstrates the implementation of a new approach to weak supervision techniques for better reservoir properties prediction in the Malaysian Basin in order to improve seismic inversion in this region.
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Shengyong Xu, Yi Zhang, Wanjing Dong, Zhilong Bie, Chengli Peng and Yuan Huang
It is important to propose the correct decision for culling and replenishing seedlings in factory seedling nurseries to improve the quality of seedlings and save resources. To solve the problems of inefficiency and subjectivity of the existing traditiona...
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Guobiao Yao, Jin Zhang, Jianya Gong and Fengxiang Jin
To promote the development of deep learning for feature matching, image registration, and three-dimensional reconstruction, we propose a method of constructing a deep learning benchmark dataset for affine-invariant feature matching. Existing images often...
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Song Yuan, Zexin Lu, Qiyuan Li and Jinguang Gu
Due to inter-modal effects hidden in multi-modalities and the impact of weak modalities on multi-modal entity alignment, a Multi-modal Entity Alignment Method with Inter-modal Enhancement (MEAIE) is proposed. This method introduces a unique modality call...
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Ran Chen, Jing Zhao, Xueqi Yao, Sijia Jiang, Yingting He, Bei Bao, Xiaomin Luo, Shuhan Xu and Chenxi Wang
Generative Adversarial Networks (GANs) possess a significant ability to generate novel images that adhere to specific guidelines across multiple domains. GAN-assisted generative design is a design method that can automatically generate design schemes wit...
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