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Hongye Liu and Xiai Chen
Person re-identification aims to identify the same pedestrians captured by various cameras from different viewpoints in multiple scenarios. Occlusion is the toughest problem for practical applications. In video-based ReID tasks, motion information can be...
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Anna Erkiert-Polguj, Kinga Kazimierska and Urszula Kalinowska-Lis
Colostrum, the first secretion of mammalian breasts after giving birth, contains a wealth of components believed to have a beneficial effect on human skin, including lactoferrin, immunoglobulin (Ig)A, beta-carotene, fat-soluble vitamins, and zinc. The pr...
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Giovanni Totaro, Felice De Nicola, Paola Spena, Giovangiuseppe Giusto, Monica Ciminello, Ilan Weissberg, Yehonatan Carmi, Daniel Arviv and Nir Lalazar
This article discloses the activity developed in the framework of the research project ?GRID? aiming at the feasibility demonstration of a fiber optic sensing system (FOS), based on fiber Bragg gratings (FGB), embedded in the ribs of a conical grid struc...
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Qiang He, Guowei Chen, Wenchao Song and Pengzhou Zhang
Named entity recognition (NER) is a subfield of natural language processing (NLP) that identifies and classifies entities from plain text, such as people, organizations, locations, and other types. NER is a fundamental task in information extraction, inf...
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Yunzhuo Liu, Chunjiang Wu, Yuting Zeng, Keyu Chen and Shijie Zhou
Artificial Intelligence has been widely applied in intelligent transportation systems. In this work, Swin-APT, a deep learning-based approach for semantic segmentation and object detection in intelligent transportation systems is presented. Swin-APT incl...
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Jiarun Wu and Qingliang Chen
Massively pre-trained transformer models such as BERT have gained great success in many downstream NLP tasks. However, they are computationally expensive to fine-tune, slow for inference, and have large storage requirements. So, transfer learning with ad...
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Hans-Jürgen Zepernick, Markus Fiedler, Thi My Chinh Chu and Viktor Kelkkanen
Wireless virtual reality (VR) offers a seamless user experience but has to cope with higher sensitivity to temporal impairments induced on the wireless link. Apart from bandwidth dynamics and latency, video freezes and their lengths are important tempora...
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Moon-Il Joo and Hee-Cheol Kim
With the recent development of artificial intelligence and data mining technology, various and intelligent vital sign analysis technologies have been developed. Vital sign analysis algorithms and technologies are primarily developed using MATLAB and open...
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Viktor Sheichenko,Alvian Kuzmych,Viktor Niedoviesov,Mykhailo Aneliak,Oleksandra Bilovod,Vitaliy Shevchuk,Tetiana Kutkovetska,Mykola Shpilka
Pág. 60 - 70
This paper reports a study into the possibility of using the chassis of combine-harvesters as a mobile energy device. The operational requirements for mobile energy technological devices for general purposes have been developed.The traction-coupling char...
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Luca Bixio, Giorgio Delzanno, Stefano Rebora and Matteo Rulli
The Internet of Things (IoT) has created new and challenging opportunities for data analytics. The IoT represents an infinitive source of massive and heterogeneous data, whose real-time processing is an increasingly important issue. IoT applications usua...
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