Yi Pan¹, Lei Xie^2,*, Hongye Su²

Intelligent Automation & Soft Computing, Vol.39, No.4, pp. 683-696, 2024, DOI:10.32604/iasc.2023.038543 - 06 September 2024

Abstract In the process of fault detection and classification, the operation mode usually drifts over time, which brings great challenges to the algorithms. Because traditional machine learning based fault classification cannot dynamically update the trained model according to the probability distribution of the testing dataset, the accuracy of these traditional methods usually drops significantly in the case of covariate shift. In this paper, an importance-weighted transfer learning method is proposed for fault classification in the nonlinear multi-mode industrial process. It effectively alters the drift between the training and testing dataset. Firstly, the mutual information method is… More >

Sana Sahar Guia¹, Abdelkader Laouid¹, Mohammad Hammoudeh^2,*, Mostafa Kara^1,3

Computer Systems Science and Engineering, Vol.48, No.4, pp. 915-935, 2024, DOI:10.32604/csse.2024.046414 - 17 July 2024

Abstract Artificial intelligence has been involved in several domains. Despite the advantages of using artificial intelligence techniques, some crucial limitations prevent them from being implemented in specific domains and locations. The accuracy, poor quality of gathered data, and processing time are considered major concerns in implementing machine learning techniques, certainly in low-end smart devices. This paper aims to introduce a novel pre-treatment technique dedicated to image text detection that uses the images’ pixel divergence and similarity to reduce the image size. Mitigating the image size while keeping its features improves the model training time with an… More >

QINGCHEN LUO^1,#,*, JIALU FENG^2,#, XIUQI DENG¹

BIOCELL, Vol.47, No.5, pp. 1145-1158, 2023, DOI:10.32604/biocell.2023.027847 - 10 April 2023

Abstract As sessile organisms, plants possess a complex system to cope with environmental changes. Ca²⁺ functions as a vital second messenger in the stress signaling of plants, and the CBL-interacting protein kinases (CIPKs) serve as essential elements in the plant Ca²⁺ signaling pathway. In this study, calcineurin B-like protein-interacting protein kinase 26 (BdCIPK26) from Brachypodium distachyon was characterized. Overexpression of BdCIPK26 enhanced tolerance to drought and salt stress of transgenic plants. Further investigations revealed that BdCIPK26 participated in abscisic acid (ABA) signaling, conferred hypersensitivity to exogenous ABA in transgenic plants, and promoted endogenous ABA biosynthesis. Moreover, BdCIPK26 was found More >

Ahed Abugabah^1,*, Louis Sanzogni², Luke Houghton², Ahmad Ali AlZubi³, Alaa Abuqabbeh⁴

CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 1335-1348, 2022, DOI:10.32604/cmc.2022.019097 - 07 September 2021

Abstract Radio frequency identification (RFID), also known as electronic label technology, is a non-contact automated identification technology that recognizes the target object and extracts relevant data and critical characteristics using radio frequency signals. Medical equipment information management is an important part of the construction of a modern hospital, as it is linked to the degree of diagnosis and care, as well as the hospital’s benefits and growth. The aim of this study is to create an integrated view of a theoretical framework to identify factors that influence RFID adoption in healthcare, as well as to conduct… More >

Yujie Zhou¹, Jin Liu^1,*, Yurong Xie¹, Y. Ken Wang²

Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 715-733, 2021, DOI:10.32604/iasc.2021.020184 - 11 August 2021

Abstract Text recognition is a crucial and challenging task, which aims at translating a cropped text instance image into a target string sequence. Recently, Convolutional neural networks (CNN) have been widely used in text recognition tasks as it can effectively capture semantic and structural information in text. However, most existing methods are usually based on contextual clues. If only recognize a single character, the accuracy of these approaches can be reduced. For example, it is difficult to distinguish 0 and O in the traditional CNN network because they are very similar in composition and structure. To… More >