Fangzhen Ge^1,3, Yating Wu^1,*, Debao Chen^2,4, Longfeng Shen^1,5

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 189-211, 2024, DOI:10.32604/iasc.2024.042841

Abstract It is still a huge challenge for traditional Pareto-dominated many-objective optimization algorithms to solve many-objective optimization problems because these algorithms hardly maintain the balance between convergence and diversity and can only find a group of solutions focused on a small area on the Pareto front, resulting in poor performance of those algorithms. For this reason, we propose a reference vector-assisted algorithm with an adaptive niche dominance relation, for short MaOEA-AR. The new dominance relation forms a niche based on the angle between candidate solutions. By comparing these solutions, the solution with the best convergence is found to be the non-dominated… More >

Yutong Tian¹, Minghan Gao², Qiang Gao^1,*, Xiao-Hong Peng³

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 175-188, 2024, DOI:10.32604/iasc.2024.042762

Abstract How to find an effective trading policy is still an open question mainly due to the nonlinear and non-stationary dynamics in a financial market. Deep reinforcement learning, which has recently been used to develop trading strategies by automatically extracting complex features from a large amount of data, is struggling to deal with fast-changing markets due to sample inefficiency. This paper applies the meta-reinforcement learning method to tackle the trading challenges faced by conventional reinforcement learning (RL) approaches in non-stationary markets for the first time. In our work, the history trading data is divided into multiple task data and for each… More >

Muhamad Irsan^1,2,*, Rosilah Hassan², Anwar Hassan Ibrahim³, Mohamad Khatim Hasan², Meng Chun Lam², Wan Mohd Hirwani Wan Hussain⁴

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 157-174, 2024, DOI:10.32604/iasc.2024.042193

Abstract One of the major causes of road accidents is sleepy drivers. Such accidents typically result in fatalities and financial losses and disadvantage other road users. Numerous studies have been conducted to identify the driver’s sleepiness and integrate it into a warning system. Most studies have examined how the mouth and eyelids move. However, this limits the system’s ability to identify drowsiness traits. Therefore, this study designed an Accident Detection Framework (RPK) that could be used to reduce road accidents due to sleepiness and detect the location of accidents. The drowsiness detection model used three facial parameters: Yawning, closed eyes (blinking),… More >

Abeer Abdullah Alsadhan¹, Abdullah A. Al-Atawi², Hanen karamti³, Abid Jameel⁴, Islam Zada⁵, Tan N. Nguyen^6,*

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 135-155, 2024, DOI:10.32604/iasc.2023.041130

Abstract IoT (Internet of Things) devices are being used more and more in a variety of businesses and for a variety of tasks, such as environmental data collection in both civilian and military situations. They are a desirable attack target for malware intended to infect specific IoT devices due to their growing use in a variety of applications and their increasing computational and processing power. In this study, we investigate the possibility of detecting IoT malware using recurrent neural networks (RNNs). RNN is used in the proposed method to investigate the execution operation codes of ARM-based Internet of Things apps (OpCodes).… More >

Dengyong Zhang^1,2, Yuting Zhao^1,2, Feng Li^1,2, Arun Kumar Sangaiah^3,4,*

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 115-133, 2024, DOI:10.32604/iasc.2024.040847

Abstract Image inpainting is a kind of use known area of information technology to repair the loss or damage to the area. Image feature extraction is the core of image restoration. Getting enough space for information and a larger receptive field is very important to realize high-precision image inpainting. However, in the process of feature extraction, it is difficult to meet the two requirements of obtaining sufficient spatial information and large receptive fields at the same time. In order to obtain more spatial information and a larger receptive field at the same time, we put forward a kind of image restoration… More >

Adil Hussain^1,*, Ayesha Aslam²

Journal on Artificial Intelligence, Vol.6, pp. 129-152, 2024, DOI:10.32604/jai.2024.050277

Abstract The diagnosis and prognosis of cardiovascular diseases are critical medical responsibilities that assist cardiologists in correctly classifying patients and treating them accordingly. The utilization of machine learning in the medical domain has witnessed a notable surge due to its ability to discern patterns from vast amounts of data. Machine learning algorithms that can categorize cases of cardiovascular illness may help doctors reduce the number of wrong diagnoses. This research investigates the efficacy of different machine learning algorithms in predicting cardiovascular disease in accordance with risk factors. This study utilizes a variety of machine learning models, including Logistic Regression, Random Forest,… More >

Shuliang Xia^1,2,3,#, Huikang Tao^2,#, Shixin Su⁴, Xinxin Chen², Li Ma², Jianru Li⁵, Bei Gao⁶, Xumei Liu⁵, Lei Pi⁷, Jinqing Feng⁴, Fengxiang Li², Jia Li^4,*, Zhiwei Zhang^1,3,*

Congenital Heart Disease, Vol.19, No.2, pp. 247-256, 2024, DOI:10.32604/chd.2024.052583

Abstract Aims: Multiple genes and environmental factors are known to be involved in congenital heart disease (CHD), but epigenetic variation has received little attention. Monozygotic (MZ) twins with CHD provide a unique model for exploring this phenomenon. In order to investigate the potential role of Deoxyribonucleic Acid (DNA) methylation in CHD pathogenesis, the present study examined DNA methylation variation in MZ twins discordant for CHD, especially ventricular septal defect (VSD). Methods and Results: Using genome-wide DNA methylation profiles, we identified 4004 differentially methylated regions (DMRs) in 18 MZ twin pairs discordant for CHD, and 2826 genes were identified. Gene Ontology (GO)… More > Graphic Abstract

Toshi Maeda^*, Hiroki Ito, Keiichi Hirose, Kisaburo Sakamoto

Congenital Heart Disease, Vol.19, No.2, pp. 177-183, 2024, DOI:10.32604/chd.2024.050945

Abstract Congenital aortic stenosis (cAS) frequently requires intervention during the neonatal or infantile period. However, surgical repair is challenging because of the narrow surgical space. We performed bicuspidization using the open-sleeve technique for cAS with a unicuspid aortic valve in two patients. Postoperatively, the patients were doing well without reintervention for the aortic valve for 8 and 6 years, respectively. Their aortic annular diameter increased along with somatic growth. Bicuspidization for neonates or infancy can be performed safely using the open-sleeve technique as its midterm results have been satisfactory. More > Graphic Abstract

Ketut Putu Yasa^1,2,*, Nyoman Satria Sadu Bhaskara², Putu Febry Krisna Pertiwi²

Congenital Heart Disease, Vol.19, No.2, pp. 139-156, 2024, DOI:10.32604/chd.2024.050348

Abstract Objective: Patients with ductal-dependent pulmonary circulation require alternative blood flow to provide and maintain adequate oxygenation. Modified Blalock-Taussig Shunt (MBTS) has been the standard for providing such a result. Currently, less invasive methods such as Arterial Duct (AD) stenting have been performed as alternatives. This study aims to compare the outcome of AD stenting and MBTS. Method: Systematic research was performed in online databases using the PRISMA protocol. The outcomes measured were 30-day mortality, complication, unplanned intervention, oxygen saturation, duration of hospital, and ICU length of stay. Any comparative study provided with full text is included. The outcome of each… More >

Xiaozhuo Xu^1,2, Yilin Huang^1,2, Xu Han^2,*

Congenital Heart Disease, Vol.19, No.2, pp. 233-246, 2024, DOI:10.32604/chd.2024.050231

Abstract Background: Hypoplastic left heart syndrome (HLHS) is one of the most challenging congenital heart diseases in clinical treatment. In cardiac tissues, resident macrophages fulfill critical functions in maintaining a stable cardiac state and have strong regenerative capacity and organ specificity. However, the molecular mechanisms of macrophages in HLHS remained unclear. Methods: Single-nucleus RNA sequencing (snRNA-seq) data of HLHS and healthy control (donors) samples obtained from the Gene Expression Omnibus (GEO) database were normalized and clustered using the Seurat package. The “FindMarkers” function was used to screen differentially expressed genes (DEGs) between the HLHS and donor groups and to analyze the… More > Graphic Abstract