Kechen Song^1,2,*, Wenqi Cui², Han Yu¹, Xingjie Li¹, Yunhui Yan^2,*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3953-3969, 2024, DOI:10.32604/cmc.2024.048451

Abstract Segment Anything Model (SAM) is a cutting-edge model that has shown impressive performance in general object segmentation. The birth of the segment anything is a groundbreaking step towards creating a universal intelligent model. Due to its superior performance in general object segmentation, it quickly gained attention and interest. This makes SAM particularly attractive in industrial surface defect segmentation, especially for complex industrial scenes with limited training data. However, its segmentation ability for specific industrial scenes remains unknown. Therefore, in this work, we select three representative and complex industrial surface defect detection scenarios, namely strip steel surface defects, tile surface defects,… More >

Sureka Sivavelu, Venkatesh Palanisamy^*

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3469-3487, 2024, DOI:10.32604/cmc.2024.047407

Abstract The development of defect prediction plays a significant role in improving software quality. Such predictions are used to identify defective modules before the testing and to minimize the time and cost. The software with defects negatively impacts operational costs and finally affects customer satisfaction. Numerous approaches exist to predict software defects. However, the timely and accurate software bugs are the major challenging issues. To improve the timely and accurate software defect prediction, a novel technique called Nonparametric Statistical feature scaled QuAdratic regressive convolution Deep nEural Network (SQADEN) is introduced. The proposed SQADEN technique mainly includes two major processes namely metric… More >

Pu Zhang¹, Yingjun Li¹, Xinyu Zhu¹, Shizhan Xu¹, Pinwu Guan^1,*, Wei Liu², Yanwei Guo², Haibo Wang²

Structural Durability & Health Monitoring, Vol.18, No.2, pp. 143-159, 2024, DOI:10.32604/sdhm.2024.046986

Abstract Grouting defects are an inherent challenge in construction practices, exerting a considerable impact on the operational structural integrity of connections. This investigation employed the impact-echo technique for the detection of grouting anomalies within connections, enhancing its precision through the integration of wavelet packet energy principles for damage identification purposes. A series of grouting completeness assessments were meticulously conducted, taking into account variables such as the divergent material properties of the sleeves and the configuration of adjacent reinforcement. The findings revealed that: (i) the energy distribution for the high-strength concrete cohort predominantly occupied the frequency bands 42, 44, 45, and 47,… More >

Sipawath Khamplod^1,2, Yodying Kaolawanich^1,2, Khemajira Karaketklang³, Nithima Ratanasit^1,2,*

Congenital Heart Disease, Vol.19, No.1, pp. 93-105, 2024, DOI:10.32604/chd.2024.048631

Abstract Background: Atrial septal defect (ASD) is a common form of adult congenital heart disease that can lead to long-term adverse outcomes if left untreated. Early closure of ASD has been associated with excellent outcomes and lower complication rates. However, there is limited evidence regarding the prognosis of ASD closure in older adults. This study aims to evaluate the mortality rates in older ASD patients with and without closure. Methods: A retrospective cohort study was conducted on patients aged 40 years or older with ASD between 2001 and 2017. Patients were followed up to assess all-cause mortality. Univariable and multivariable analyses… More > Graphic Abstract

Yücel Kaya^1,*, And Yavuz¹, Hasan Berkan Sayal¹, Büşra Tsakir¹, Gökalp Kabacaoğlu¹, Kadriye Nilay Özcan²

Congenital Heart Disease, Vol.19, No.1, pp. 123-129, 2024, DOI:10.32604/chd.2024.048145

Abstract Congenital ventricular aneurysm is a very rare cardiac anomaly. A diagnosis can be made during the prenatal period using fetal echocardiography. This study presents a very rare apically located left ventricular aneurysm case, and the relevant literature was reviewed and discussed. In this case, a 35-year-old, gravida 2, parity 1 pregnant woman at 24 weeks of gestation, displayed a wide aneurysmal image in the left ventricular apical wall on fetal echocardiography. There was a 1.79 mm muscular ventricular septal defect at the apical region of the interventricular septum. In the course of the color Doppler ultrasonography examination, an aberrant fibrous… More >

Yamixa Delgado^1,*, Caliani Gaytan¹, Naydi Perez², Eric Miranda³, Bryan Colón Morales¹, Mónica Santos¹

Congenital Heart Disease, Vol.19, No.1, pp. 19-31, 2024, DOI:10.32604/chd.2024.046339

Abstract Background: Given the pervasive issues of obesity and diabetes both in Puerto Rico and the broader United States, there is a compelling need to investigate the intricate interplay among body mass index (BMI), pregestational, and gestational maternal diabetes, and their potential impact on the occurrence of congenital heart defects (CHD) during neonatal development. Methods: Using the comprehensive System of Vigilance and Surveillance of Congenital Defects in Puerto Rico, we conducted a focused analysis on neonates diagnosed with CHD between 2016 and 2020. Our assessment encompassed a range of variables, including maternal age, gestational age, BMI, pregestational diabetes, gestational diabetes, hypertension,… More >

Jae Hong Lee¹, Sungkyu Cho^2,*, Jae Gun Kwak², Hye Won Kwon², Woong-Han Kim², Mi Kyoung Song³, Sang-Yun Lee³, Gi Beom Kim³, Eun Jung Bae³

Congenital Heart Disease, Vol.19, No.1, pp. 69-83, 2024, DOI:10.32604/chd.2024.045137

Abstract Background: The optimal surgical timing and clinical outcomes of ventricular septal defect (VSD) closure in neonates remain unclear. We aimed to evaluate the clinical outcomes of VSD closure in neonates (age ≤ 30 days). Methods: We retrospectively reviewed 50 consecutive neonates who underwent VSD closure for isolated VSDs between August 2003 and June 2021. Indications for the procedure included congestive heart failure/failure to thrive and pulmonary hypertension. Major adverse events (MAEs) were defined as the composite of all-cause mortality, reoperation, persistent atrioventricular block, and significant (≥grade 2) valvular dysfunction. Results: The median age and body weight at operation were 26.0… More >

Ziqi Wang^*, Weihan Tian, Baojiang Cui

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1797-1820, 2024, DOI:10.32604/cmc.2023.047051

Abstract The API used to access cloud services typically follows the Representational State Transfer (REST) architecture style. RESTful architecture, as a commonly used Application Programming Interface (API) architecture paradigm, not only brings convenience to platforms and tenants, but also brings logical security challenges. Security issues such as quota bypass and privilege escalation are closely related to the design and implementation of API logic. Traditional code level testing methods are difficult to construct a testing model for API logic and test samples for in-depth testing of API logic, making it difficult to detect such logical vulnerabilities. We propose RESTlogic for this purpose.… More >

Lanyao Zhang¹, Shichao Kan², Yigang Cen³, Xiaoling Chen¹, Linna Zhang^1,*, Yansen Huang^4,5

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1631-1648, 2024, DOI:10.32604/cmc.2024.046924

Abstract Unsupervised methods based on density representation have shown their abilities in anomaly detection, but detection performance still needs to be improved. Specifically, approaches using normalizing flows can accurately evaluate sample distributions, mapping normal features to the normal distribution and anomalous features outside it. Consequently, this paper proposes a Normalizing Flow-based Bidirectional Mapping Residual Network (NF-BMR). It utilizes pre-trained Convolutional Neural Networks (CNN) and normalizing flows to construct discriminative source and target domain feature spaces. Additionally, to better learn feature information in both domain spaces, we propose the Bidirectional Mapping Residual Network (BMR), which maps sample features to these two spaces… More > Graphic Abstract

Gyu-Il Kim¹, Hyun Yoo², Han-Jin Cho³, Kyungyong Chung^4,*

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 1713-1730, 2024, DOI:10.32604/cmc.2023.046324

Abstract Time-series data provide important information in many fields, and their processing and analysis have been the focus of much research. However, detecting anomalies is very difficult due to data imbalance, temporal dependence, and noise. Therefore, methodologies for data augmentation and conversion of time series data into images for analysis have been studied. This paper proposes a fault detection model that uses time series data augmentation and transformation to address the problems of data imbalance, temporal dependence, and robustness to noise. The method of data augmentation is set as the addition of noise. It involves adding Gaussian noise, with the noise… More >