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Pujin Wang, Jiehui Wang, Qiong Liu, Lin Fang and Jie Xiao
Multimodal image data have found widespread applications in visual-based building façade damage detection in recent years, offering comprehensive inspection of façade surfaces with the assistance of drones and infrared thermography. However, the comprehe...
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Apichit Maneengam
This paper proposes a multi-criteria decision-making approach for the multimodal routing problem (MRP) of bulk transportation in Thailand to minimize the total cost, transportation time, and total carbon dioxide-equivalent (CO2e) emissions simultaneously...
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Jiajia Fan, Wentao Huang, Qingchao Jiang and Qinqin Fan
For multimodal multi-objective optimization problems (MMOPs), there are multiple equivalent Pareto optimal solutions in the decision space that are corresponding to the same objective value. Therefore, the main tasks of multimodal multi-objective optimiz...
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Maria Grazia Sindoni
Pág. 27 - 44
This paper adopts a multimodal critical discourse analysis (MCDA) approach to analyse how meanings are produced and circulated in British major corporate digital media outlets via the multimodal notion of transduction (Kress 1997; Mavers 2011; Newfi eld ...
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Anthony Baldry, Paul J. Thibault
Pág. 11 - 41
Multimodal corpus linguistics has so far been a theoretical rather than an applicative discipline. This paper sketches out proposals that attempt to bridge between these two perspectives. It does so with particular reference to the development of the con...
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Fei Yuan, Xiaoquan Ke and En Cheng
Ship recognition based on ship-radiated noise is one of the most important and challenging subjects in underwater acoustic signal processing. The recognition methods for ship-radiated noise recognition include traditional methods and deep learning (DL) m...
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Teerasak Charoennapharat and Poti Chaopaisarn
Multimodal transport is a critical component in developing the international trade economy, and logistics service providers are a critical component in multimodal transport. However, the recent COVID-19 pandemic has seriously affected the transport syste...
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Wentao Yu, Huijun Sun, Tao Feng, Jianjun Wu, Ying Lv and Guangyu Xin
One of the top concerns for travelers when choosing public transportation is whether they can reach their destination in limited time and monetary cost on the basis of ensured reliability. However, the existing literature shows no studies on how to evalu...
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Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ...
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Lihong Zhang, Chaolong Liu and Nan Jia
Multimodal emotion classification (MEC) has been extensively studied in human?computer interaction, healthcare, and other domains. Previous MEC research has utilized identical multimodal annotations (IMAs) to train unimodal models, hindering the learning...
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Xinyang Xu, Haiyan Wang and Pengzhu Deng
Along with the rapid development of the economy and the increasing demand for transport quality, renewed attention to multimodal transportation has emerged. However, due to the unpredictable transport environment in the process of multimodal transportati...
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Francesca Coccetta
Pág. 43 - 58
The development of the MCA (Multimodal Corpus Authoring System, Baldry 2005, Baldry/Beltrami 2005) online corpus construction and concordancing system, capable of investigating a variety of multimodal texts without denuding them of their distinguishing f...
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Olga Perl,Ivan Perl
Pág. 41 - 53
Increasingly, one can find research from various fields devoted to working with different formats of data, tasks, research perspectives or views on the object of research. Often these studies use the term "multimodal", which at the same time varies great...
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Olga Perl,Ivan Perl
Pág. 41 - 53
Increasingly, one can find research from various fields devoted to working with different formats of data, tasks, research perspectives or views on the object of research. Often these studies use the term "multimodal", which at the same time varies great...
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Fei Ma, Yang Li, Shiguang Ni, Shao-Lun Huang and Lin Zhang
Audio-visual emotion recognition is the research of identifying human emotional states by combining the audio modality and the visual modality simultaneously, which plays an important role in intelligent human-machine interactions. With the help of deep ...
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Yue Lu, Maoxiang Lang, Xueqiao Yu and Shiqi Li
Sustainable development of transport systems is a common topic of concern and effort in multiple countries, in which reducing carbon emissions is one of the core goals. Multimodal transport is an effective way to achieve carbon emission reduction and to ...
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Ruoshi Zhang, Dingnan Chai, Zhenzhi Zhou, Rui Sun, Zekai Zhang and Chuhuan Chen
The technological leap in the digital age has triggered a higher demand for emotional experiences. Since vision has long been recognized as the most important source of information for people to perceive the city, the visual characteristics of the urban ...
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Haoran Deng, Huasheng liu, Jin Li, Yuqi Zhao, Sha Yang, Kui Dong
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Iosif C. Moulinos, Christos Manopoulos and Sokrates Tsangaris
Peristaltic flow in a straight rectangular duct is examined imposed by contraction pulses implemented by pairs of horizontal cylindrical segments with their axes perpendicular to the flow direction. The wave propagation speed is considered in such a rang...
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Adam Fitriawijaya and Taysheng Jeng
Multimodal generative AI and generative design empower architects to create better-performing, sustainable, and efficient design solutions and explore diverse design possibilities. Blockchain technology ensures secure data management and traceability. Th...
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