Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Dezheng Zhang"'
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 960-972 (2024)
Abstract Sentiment analysis is a fine‐grained analysis task that aims to identify the sentiment polarity of a specified sentence. Existing methods in Chinese sentiment analysis tasks only consider sentiment features from a single pole and scale and
Externí odkaz:
https://doaj.org/article/afb98aee06224e2c9877a83751a0d78e
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-15 (2024)
Abstract Human cultivation facilitates the naturalization and subsequent invasion of non-native plant species through, for example, protection from predators or reducing environmental stochasticity. With the development of tourism, non-native plant s
Externí odkaz:
https://doaj.org/article/50231bd8a8f64fa9809f86b1f5ed305f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4450-4465 (2024)
In recent years, remote sensing images (RSIs) have witnessed significant improvements in both quality and quantity. With the application of deep-learning techniques, these RSIs can be more effectively utilized to harnessed to aid in environment monit
Externí odkaz:
https://doaj.org/article/33670546d4cc4cd6bd13b53266489449
LDF-BNN: A Real-Time and High-Accuracy Binary Neural Network Accelerator Based on the Improved BNext
Publikováno v:
Micromachines, Vol 15, Iss 10, p 1265 (2024)
Significant progress has been made in industrial defect detection due to the powerful feature extraction capabilities of deep neural networks (DNNs). However, the high computational cost and memory requirement of DNNs pose a great challenge to the de
Externí odkaz:
https://doaj.org/article/e95e5c6e338b4401ad1da3fc4a64b6d8
Autor:
Qing Zhang, Zhuo Cheng, Yanxiao Fan, Dezheng Zhang, Miaomiao Wang, Jihai Zhang, Sarana Sommano, Xianjin Wu, Chunlin Long
Publikováno v:
Journal of Ethnobiology and Ethnomedicine, Vol 19, Iss 1, Pp 1-59 (2023)
Abstract Background Edible flowers (EFs) represent valuable sources of both food and medicinal resources, holding the promise to enhance human well-being. Unfortunately, their significance is often overlooked. Ethnobotanical studies on the EFs are la
Externí odkaz:
https://doaj.org/article/d619f91ad1ea4c6a81cc61b09e016a30
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 14899-14919 (2023)
The ongoing emergence of COVID-19 and the maturation of cold chain technology, have aided in the rapid development of the fresh produce e-commerce industry. Taking into account the characteristics of consumers' demand for fresh products, this paper c
Externí odkaz:
https://doaj.org/article/2ae7d5d7fc12457ea3489bd4bd72aebe
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 3, Pp 899-906 (2023)
At present, Named Entity Recognition (NER) is one of the fundamental tasks for extracting knowledge from traditional Chinese medicine (TCM) texts. The variability of the length of TCM entities and the characteristics of the language of TCM texts lead
Externí odkaz:
https://doaj.org/article/ae624c3b9ee64350b8651173c3197c17
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 6, Pp 1799-1808 (2023)
The Chinese named entity recognition (NER) is a critical task in natural language processing, aiming at identifying and classifying named entities in text. However, the specificity of domain texts and the lack of large-scale labelled datasets have le
Externí odkaz:
https://doaj.org/article/fd5c675e5056442c8bd74b3e9307e0bc
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 10, Pp 10037-10059 (2022)
Obtaining massive amounts of training data is often crucial for computer-assisted diagnosis using deep learning. Unfortunately, patient data is often small due to varied constraints. We develop a new approach to extract significant features from a sm
Externí odkaz:
https://doaj.org/article/e9ebb2d3a1954104b7c8de4ac6b0a460
Publikováno v:
BMC Medical Education, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Medical trainees are required to learn many procedures following instructions to improve their skills. This study aims to investigate the pupillary response of trainees when they encounter moment of performance difficulty (MPD) du
Externí odkaz:
https://doaj.org/article/e91044e9458b464a9a54b49c6702fd81