Ahmad F Subahi^*, Areej Athama

CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3801-3816, 2023, DOI:10.32604/cmc.2023.034522

Abstract With the rapid growth in the availability of digital health-related data, there is a great demand for the utilization of intelligent information systems within the healthcare sector. These systems can manage and manipulate this massive amount of health-related data and encourage different decision-making tasks. They can also provide various sustainable health services such as medical error reduction, diagnosis acceleration, and clinical services quality improvement. The intensive care unit (ICU) is one of the most important hospital units. However, there are limited rooms and resources in most hospitals. During times of seasonal diseases and pandemics, ICUs face high admission demand. In… More >

Bah Mamoudou^*

Journal on Artificial Intelligence, Vol.5, pp. 163-180, 2023, DOI:10.32604/jai.2023.045324

Abstract It has become an annual tradition for Convolutional Neural Networks (CNNs) to continuously improve their performance in image classification and other applications. These advancements are often attributed to the adoption of more intricate network architectures, such as modules and skip connections, as well as the practice of stacking additional layers to create increasingly complex networks. However, the quest to identify the most optimized model is a daunting task, given that state of the art Convolutional Neural Network (CNN) models are manually engineered. In this research paper, we leveraged a conventional Genetic Algorithm (GA) to craft optimized Convolutional Neural Network (CNN)… More >

Hyangjin Park¹, Haeryun Cho², So Yeon Yoo^3,*

International Journal of Mental Health Promotion, Vol.25, No.11, pp. 1219-1228, 2023, DOI:10.32604/ijmhp.2023.041490

Abstract This study examined factors related to the psychological well-being of older adults and built and verified a model for predicting psychological well-being. The participants were 350 older adults aged over 60 years who lived in South Korea and were active in the local community. The model proposed in this study was found to be suitable. Depression, self-efficacy, and social support had a direct effect on the psychological well-being of older adults, while depression, activities of daily living (ADLs), and self-efficacy had an indirect effect. Self-efficacy and social support mediated the relationship between depression and psychological well-being, and self-efficacy mediated the… More >

Xuefeng Song^*, Minjuan Sun, Juan He, Lei Wang

Journal of Renewable Materials, Vol.11, No.12, pp. 4079-4095, 2023, DOI:10.32604/jrm.2023.028885

Abstract The adsorption method has the advantages of low cost, high efficiency, and environmental friendliness in treating fluorinated wastewater, and the adsorbent material is the key. This study combines the inherent anion-exchange adsorption properties of layered double hydroxides (LDHs). Self-supported porous adsorbent materials loaded with AFm and AFt were prepared from a composite cementitious system consisting of calcium aluminate cement (CAC) and flue gas desulfurization gypsum (FGDG) by chemical foaming technique. The mineral composition of the adsorbent material was characterized by X-ray diffraction (XRD) and Scanning electron microscopy (SEM). Through the static adsorption experiment, the adsorption effect of the mineral composition… More > Graphic Abstract

Adekunle A. Adeleke^1,*, Nzerem Petrus², Salihu Ayuba², Asmau M. Yahya², Peter P. Ikubanni³, Ikechuckwu S. Okafor², Stephen S. Emmanuel⁴, Adebayo I. Olosho⁴, Ademidun A. Adesibikan⁴

Journal of Renewable Materials, Vol.11, No.12, pp. 4123-4141, 2023, DOI:10.32604/jrm.2023.043915

Abstract Nigeria, often referred to as “the giant of Africa,” boasts a sizable population, a thriving economy, and abundant energy resources. Nevertheless, Nigeria has yet to fully harness its renewable energy potential, despite its enormous capacity in this field. The goal of this review paper is to thoroughly examine the difficulties and untapped opportunities in utilizing biomass for bioenergy production in Nigeria. Notably, Nigeria generates substantial volumes of biomass annually, primarily in the form of agricultural waste, which is often either discarded or burned inefficiently, resulting in significant ecological and environmental damage. Therefore, an efficient approach to reducing pollution and transforming… More > Graphic Abstract

Shiyang Song^1,*, Tongxin Han²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.1, pp. 127-145, 2024, DOI:10.32604/fdmp.2023.030137

Abstract Aiming to mitigate the aerodynamic lift force imbalance between pantograph strips, which exacerbates wear and affects the current collection performance of the pantograph-catenary system, a study has been conducted to support the beam deflector optimization using a combination of experimental measurements and computational fluid dynamics (CFD) simulations. The results demonstrate that the size, position, and installation orientation of the wind deflectors significantly influence the amount of force compensation. They also indicate that the front strip deflectors should be installed downwards and the rear strip deflectors upwards, thereby forming a “π” shape. Moreover, the lift force compensation provided by the wind… More >

Amit Saxena¹, Smita Saxena^2,*

Journal of Quantum Computing, Vol.5, pp. 1-13, 2023, DOI:10.32604/jqc.2023.044555

Abstract Quantum computing is a promising new approach to tackle the complex real-world computational problems by harnessing the power of quantum mechanics principles. The inherent parallelism and exponential computational power of quantum systems hold the potential to outpace classical counterparts in solving complex optimization problems, which are pervasive in machine learning. Quantum Support Vector Machine (QSVM) is a quantum machine learning algorithm inspired by classical Support Vector Machine (SVM) that exploits quantum parallelism to efficiently classify data points in high-dimensional feature spaces. We provide a comprehensive overview of the underlying principles of QSVM, elucidating how different quantum feature maps and quantum… More >

Fuad A. M. Al-Yarimi^*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 633-645, 2023, DOI:10.32604/cmc.2023.038858

Abstract Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast cancer. The only method to avoid breast cancer-related deaths is through early detection and treatment. The proper classification of malignancies is one of the most significant challenges in the medical industry. Due to their high precision and accuracy, machine learning techniques are extensively employed for identifying and classifying various forms of cancer. Several data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and accuracy of various algorithms for… More >

Sándor Csibi¹, Mónika Csibi^2,*, József Bognár¹

International Journal of Mental Health Promotion, Vol.25, No.10, pp. 1081-1088, 2023, DOI:10.32604/ijmhp.2023.029390

Abstract Background: Components of Self, completed with the perceived social support determine the individual differences in the evaluation of a stressor and the behavioral responses toward it, such as health-related anxiety. The study set as a goal the analysis of associations between the components of Self, such as self-evaluation, sense of coherence, perceived social support, and reported health-related anxiety in an adult sample. Methods: 147 adults from the 18–73 age group (mean age 37.5) voluntarily completed the questionnaire through Qualtrics online platform containing the Short Health Anxiety Inventory, Core Self-Evaluation Scale, Social Support Assessing Scale, and one Health Self-Evaluation Item. Results:… More >

Ying Zhang¹, Xiaoqing Han², Chao Zhang¹, Ying Qu¹, Yang Liu¹, Gengwu Zhang^2,*

Energy Engineering, Vol.120, No.11, pp. 2585-2609, 2023, DOI:10.32604/ee.2023.026816

Abstract More and more uncertain factors in power systems and more and more complex operation modes of power systems put forward higher requirements for online transient stability assessment methods. The traditional model-driven methods have clear physical mechanisms and reliable evaluation results but the calculation process is time-consuming, while the data-driven methods have the strong fitting ability and fast calculation speed but the evaluation results lack interpretation. Therefore, it is a future development trend of transient stability assessment methods to combine these two kinds of methods. In this paper, the rate of change of the kinetic energy method is used to calculate… More >