Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Liguo Yao"'
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30053- (2024)
Identifying valuable information within the extensive texts documented in natural language presents a significant challenge in various disciplines. Named Entity Recognition (NER), as one of the critical technologies in text data processing and mining
Externí odkaz:
https://doaj.org/article/69978ae87f7f410d80b0e5acf619ed28
Publikováno v:
Biomimetics, Vol 8, Iss 6, p 492 (2023)
The sand cat is a creature suitable for living in the desert. Sand cat swarm optimization (SCSO) is a biomimetic swarm intelligence algorithm, which inspired by the lifestyle of the sand cat. Although the SCSO has achieved good optimization results,
Externí odkaz:
https://doaj.org/article/b0ee96004ac74b0aa9765cc3ae18465a
Publikováno v:
Biomimetics, Vol 8, Iss 3, p 305 (2023)
The reptile search algorithm is an effective optimization method based on the natural laws of the biological world. By restoring and simulating the hunting process of reptiles, good optimization results can be achieved. However, due to the limitation
Externí odkaz:
https://doaj.org/article/eb1469cc50e54aa6b7679e4422bf3d56
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9709 (2022)
Golden jackal optimization (GJO) is an effective metaheuristic algorithm that imitates the cooperative hunting behavior of the golden jackal. However, since the update of the prey’s position often depends on the male golden jackal and there is insu
Externí odkaz:
https://doaj.org/article/5f78454219f641889906353ed312d949
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8828 (2022)
The images of surface defects of industrial products contain not only the defect type but also the causal logic related to defective design and manufacturing. This information is recessive and unstructured and difficult to find and use, which cannot
Externí odkaz:
https://doaj.org/article/407f764edba445cdb32e7d7e5ad4f93f
Publikováno v:
Symmetry, Vol 14, Iss 8, p 1571 (2022)
The emergence of battery-free wireless sensor networks (benefiting from the ability to collect energy from the surroundings) has broken through the energy and lifetime limitations of traditional wireless sensor network systems, but also brings challe
Externí odkaz:
https://doaj.org/article/cc83425460ff4567982a85a7b9a8a19e
Publikováno v:
Symmetry, Vol 12, Iss 12, p 1986 (2020)
Manufacturing text often exists as unlabeled data; the entity is fine-grained and the extraction is difficult. The above problems mean that the manufacturing industry knowledge utilization rate is low. This paper proposes a novel Chinese fine-grained
Externí odkaz:
https://doaj.org/article/f8230cf85f294f6d8aa51d68c0736177
Publikováno v:
Information, Vol 10, Iss 9, p 282 (2019)
Assembly is a very important manufacturing process in the age of Industry 4.0. Aimed at the problems of part identification and assembly inspection in industrial production, this paper proposes a method of assembly inspection based on machine vision
Externí odkaz:
https://doaj.org/article/cb9b50e8e64443cea21e3957eb141496
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1581 (2019)
A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful
Externí odkaz:
https://doaj.org/article/1236de82c4414155901dcd4237b69b30
Publikováno v:
Applied Sciences, Vol 8, Iss 9, p 1678 (2018)
This paper aims to achieve real-time and accurate detection of surface defects by using a deep learning method. For this purpose, the Single Shot MultiBox Detector (SSD) network was adopted as the meta structure and combined with the base convolution
Externí odkaz:
https://doaj.org/article/8fa85668827741ebae269c2ee8e00175