Plumejeaud-Perreau, C, Gravier, J, Masson, E, Nahassia, L, Rodier, X, Saux, E, Fargette, M, Libourel, T, Mathian, H, Nuninger, L, Sanders, L

Revue Internationale de Géomatique, Vol.31, No.1, pp. 7-19, 2022, DOI:10.3166/RIG.31.7-19

Abstract This article has no abstract. More >

Danial Jahed Armaghani^1,*, Ahmed Salih Mohammed^2,3, Ramesh Murlidhar Bhatawdekar⁴, Pouyan Fakharian⁵, Ashutosh Kainthola⁶, Wael Imad Mahmood⁷

CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.3, pp. 2023-2027, 2024, DOI:10.32604/cmes.2023.031701

Abstract This article has no abstract. More >

Huixin Zhu, Mingzhe Leng^*, Guofeng Jin^*, Heyang Miao

FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.7, pp. 1907-1923, 2023, DOI:10.32604/fdmp.2023.025416

Abstract When aluminum alloys are coupled with dissimilar materials, they often act as corrosion anodes and are suscepted to accelerated corrosion. Therefore, deepening our knowledge of such corrosion phenomena, related mechanisms, and elaborating new prediction model is of great theoretical and practical significance. In this paper, such mechanisms are explained from both macroscopic and microscopic points of view by considering several aspects such as the second phase particle type, grain size, and environmental ions. More specifically, different perspectives on such a problem are elaborated, which take into account: the properties of the coupling pair materials, geometrical characteristics, environmental media characteristics, the… More >

Wei Hu^1,2, Fengjuan Si³, Hongtao Xue¹, Wensheng Li¹, Jun Hu⁴, Fuling Tang^1,*

Journal of Renewable Materials, Vol.11, No.3, pp. 1293-1301, 2023, DOI:10.32604/jrm.2022.023095

Abstract This work investigates the effect of passivation on the electronic properties of inorganic perovskite CsPbI₃ materials by using first-principles calculations with density functional theory (DFT). The passivation effect after the addition of Phenylethylamine (PEA⁺ ) molecule to CsPbI₃ (110) surface is studied. The results of density of states (DOS) calculations show that the CsPbI₃ (110) surface model with I atom terminated reveals new electronic DOS peaks (surface states) near the Fermi level. These surface states are mainly due to the contribution of I-5p orbital and are harmful to the CsPbI₃-based solar cells because they reduce the photoelectric conversion efficiency. The… More > Graphic Abstract

Yuanjia Xia, Fang Zhao^*, Zhizun Li, Zhaogang Cheng, Jianwei Hu

Journal of Renewable Materials, Vol.11, No.2, pp. 921-936, 2023, DOI:10.32604/jrm.2022.022840

Abstract Sn_1−xEr_xO₂ (x = 0%, 8%, 16%, 24%) micro/nanofibers were prepared by electrospinning combined with heat treatment using erbium nitrate, stannous chloride and polyvinylpyrrolidone (PVP) as raw materials. The target products were characterized by thermogravimetric analyzer, X-ray diffrotometer, fourier transform infrared spectrometer, scanning electron microscope, spectrophotometer and infrared emissivity tester, and the effects of Er³⁺ doping on its infrared and laser emissivity were studied. At the same time, the Sn_1−xEr_xO₂ (x = 0%, 16%) doping models were constructed based on the first principles of density functional theory, and the related optoelectronic properties such as their energy band structure, density of states,… More >

Ahad Alloqmani¹, Omimah Alsaedi¹, Nadia Bahatheg¹, Reem Alnanih^1,*, Lamiaa Elrefaei^1,2

Computer Systems Science and Engineering, Vol.40, No.3, pp. 1023-1042, 2022, DOI:10.32604/csse.2022.019704

Abstract Interactive learning tools can facilitate the learning process and increase student engagement, especially tools such as computer programs that are designed for human-computer interaction. Thus, this paper aims to help students learn five different methods for solving nonlinear equations using an interactive learning tool designed with common principles such as feedback, visibility, affordance, consistency, and constraints. It also compares these methods by the number of iterations and time required to display the result. This study helps students learn these methods using interactive learning tools instead of relying on traditional teaching methods. The tool is implemented using the MATLAB app and… More >

Jialin Ma^1,*, Zhaojun Wang², Hai Guo³, Qian Xie^1,4, Tao Wang⁴, Bolun Chen⁵

Computer Systems Science and Engineering, Vol.40, No.3, pp. 979-993, 2022, DOI:10.32604/csse.2022.016759

Abstract Syndrome differentiation-based treatment is one of the key characteristics of Traditional Chinese Medicine (TCM). The process of syndrome differentiation is difficult and challenging due to its complexity, diversity and vagueness. Analyzing syndrome principles from historical records of TCM using data mining (DM) technology has been of high interest in recent years. Nevertheless, in most relevant studies, existing DM algorithms have been simply developed for TCM mining, while the combination of TCM theories or its characteristics with DM algorithms has rarely been reported. This paper presents a novel Symptom-Syndrome Topic Model (SSTM), which is a supervised probabilistic topic model with three-tier… More >

Mesfer Alrizq¹, Shauban Ali Solangi², Abdullah Alghamdi^1,*, Muhammad Ali Nizamani², Muhammad Ali Memon², Mohammed Hamdi¹

Computer Systems Science and Engineering, Vol.40, No.2, pp. 557-569, 2022, DOI:10.32604/csse.2022.018800

Abstract Recent advancements in the Internet of Things IoT and cloud computing have paved the way for mobile Healthcare (mHealthcare) services. A patient within the hospital is monitored by several devices. Moreover, upon leaving the hospital, the patient can be remotely monitored whether directly using body wearable sensors or using a smartphone equipped with sensors to monitor different user-health parameters. This raises potential challenges for intelligent monitoring of patient’s health. In this paper, an improved architecture for smart mHealthcare is proposed that is supported by HCI design principles. The HCI also provides the support for the User-Centric Design (UCD) for smart… More >

Liying Zhu^*, Ang Wang, Fang Jin

FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.6, pp. 1213-1222, 2021, DOI:10.32604/fdmp.2021.017572

Abstract In the present study, the laws of smoke diffusion during forest fires are determined using the general principles of fluid mechanics and dedicated data obtained experimentally using an “ad hoc” imaging technology. Experimental images mimicking smoke in a real scenario are used to extract some “statistics”. These in turn are used to obtain the “divergence” of the flow (this fluid-dynamic parameter describing the amount of air that converges to a certain place from the surroundings or vice versa). The results show that the divergence of the smoke depends on the outside airflow and finally tends to zero as time passes.… More >

Marwan Albahar^*, Mohammed Thanoon, Monaj Alzilai, Alaa Alrehily, Munirah Alfaar, Maimoona Algamdi, Norah Alassaf

CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2181-2202, 2021, DOI:10.32604/cmc.2021.018260

Abstract Malicious Portable Document Format (PDF) files represent one of the largest threats in the computer security space. Significant research has been done using handwritten signatures and machine learning based on detection via manual feature extraction. These approaches are time consuming, require substantial prior knowledge, and the list of features must be updated with each newly discovered vulnerability individually. In this study, we propose two models for PDF malware detection. The first model is a convolutional neural network (CNN) integrated into a standard deviation based regularization model to detect malicious PDF documents. The second model is a support vector machine (SVM)… More >