Zobrazeno 1 - 10
of 1 727
pro vyhledávání: '"Yudong, Zhang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Many observational studies and experiments have found a strong association between lipid levels and adipokines and multiple myeloma (MM), but the causal relationship between lipid levels, adipokines and MM remains to be determined. We perfor
Externí odkaz:
https://doaj.org/article/63ab36ca2c864cff9a86bde23cd5d20e
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1043-1077 (2024)
Abstract Counting high‐density objects quickly and accurately is a popular area of research. Crowd counting has significant social and economic value and is a major focus in artificial intelligence. Despite many advancements in this field, many of
Externí odkaz:
https://doaj.org/article/057aea5a5cea4fe680de8447ea22ca19
Publikováno v:
IET Renewable Power Generation, Vol 18, Iss 14, Pp 2209-2237 (2024)
Abstract In the pursuit of enhancing the efficiency of solar cells, accurate estimation of unspecified parameters in the solar photovoltaic (PV) cell model is imperative. An advanced salp swarm algorithm called the Super‐Evolutionary Nelder‐Mead
Externí odkaz:
https://doaj.org/article/081704d8c50148fd8184fb66af45ddfc
Publikováno v:
ACS Omega, Vol 9, Iss 32, Pp 34380-34396 (2024)
Externí odkaz:
https://doaj.org/article/a06f8f7f71d3417ba57a6a6fff29f30a
Publikováno v:
IET Computer Vision, Vol 18, Iss 5, Pp 613-625 (2024)
Abstract X‐ray security checks aim to detect contraband in luggage; however, the detection accuracy is hindered by the overlapping and significant size differences of objects in X‐ray images. To address these challenges, the authors introduce a n
Externí odkaz:
https://doaj.org/article/56da448e52cd48289b049874d3f65989
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
ObjectiveTo investigate the potential mediating role of inflammatory proteins in the association between lipid species and Deep Venous Thrombosis (DVT).MethodsA comprehensive analysis was conducted using pooled data from genome-wide association studi
Externí odkaz:
https://doaj.org/article/d818a5d59e3b417fa6d004e0a81ad6da
Publikováno v:
Engineering Reports, Vol 6, Iss 8, Pp n/a-n/a (2024)
Abstract This paper proposes applying a novel deep‐learning model, TBDLNet, to recognize CT images to classify multidrug‐resistant and drug‐sensitive tuberculosis automatically. The pre‐trained ResNet50 is selected to extract features. Three
Externí odkaz:
https://doaj.org/article/9e56a82b0b8e464b9ffd15930e3bffb7
Publikováno v:
Technology in Cancer Research & Treatment, Vol 23 (2024)
Recently, large language models such as ChatGPT have made huge strides in understanding and generating human-like text and have demonstrated considerable success in natural language processing. These foundation models also perform well in computer vi
Externí odkaz:
https://doaj.org/article/d924db4e637b420f9104a54f27772770
Autor:
Chenhua Tang, Changcheng Huang, Yi Chen, Ali Asghar Heidari, Shuihua Wang, Huiling Chen, Yudong Zhang
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 7, Pp n/a-n/a (2024)
Grey wolf optimizer (GWO) is a highly valued heuristic algorithm in many fields. However, for some complex problems, especially high‐dimensional and multimodal problems, the basic algorithm has limited computational power and cannot get a satisfact
Externí odkaz:
https://doaj.org/article/8a7ef643219840cb9b6226f64bf7c502
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 1, Pp 167-177 (2024)
Abstract The solving of dynamic matrix square root (DMSR) problems is frequently encountered in many scientific and engineering fields. Although the original zeroing neural network is powerful for solving the DMSR, it cannot vanish the influence of t
Externí odkaz:
https://doaj.org/article/5404521dd98147c49e742805826ba845