Jiye Zhou¹, Yun-Fei Fu², Kazem Ghabraie^1,*

CMES-Computer Modeling in Engineering & Sciences, Vol.143, No.3, pp. 3233-3251, 2025, DOI:10.32604/cmes.2025.065935 - 30 June 2025

Abstract Most material distribution-based topology optimization methods work on a relaxed form of the optimization problem and then push the solution toward the binary limits. However, when benchmarking these methods, researchers use known solutions to only a single form of benchmark problem. This paper proposes a comparison platform for systematic benchmarking of topology optimization methods using both binary and relaxed forms. A greyness measure is implemented to evaluate how far a solution is from the desired binary form. The well-known Zhou-Rozvany (ZR) problem is selected as the benchmarking problem here, making use of available global solutions… More >

Alexey Melkikh^1,2, Sergey Rutin², Dmitrii V. Antonov³, Pavel Skripov^2,*

Frontiers in Heat and Mass Transfer, Vol.23, No.3, pp. 721-737, 2025, DOI:10.32604/fhmt.2025.066528 - 30 June 2025

Abstract The article considers a relaxation of the water/polypropylene glycol-425 solution with a lower critical solution temperature (LCST) following its pulsed superheating concerning liquid-liquid and liquid-vapor equilibrium lines, as well as the liquid-liquid spinodal. Superheating was performed using the pulsed heat generation method in a micro-sized wire probe. The main heating mode was the constant (over the pulse length) power mode. Characteristic heating rates ranged from 0.05 × 10⁵ to 2 × 10⁵ K/s, while the degree of superheating concerning the spinodal was up to 200 K. The temperature of spontaneous boiling-up and the amplitude of the… More > Graphic Abstract

Wenbing Wang^*, Yongwen Liu

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 763-790, 2025, DOI:10.32604/cmc.2025.065179 - 09 June 2025

Abstract Multi-firmware comparison techniques can improve efficiency when auditing firmwares in bulk. However, the problem of matching functions between multiple firmwares has not been studied before. This paper proposes a multi-firmware comparison method based on evolutionary algorithms and trusted base points. We first model the multi-firmware comparison as a multi-sequence matching problem. Then, we propose an adaptation function and a population generation method based on trusted base points. Finally, we apply an evolutionary algorithm to find the optimal result. At the same time, we design the similarity of matching results as an evaluation metric to measure More >

Zakaria Laggoun^1,*, Amel Khalfaoui¹, Kerroum Derbal^2,*, Amira Fadia Ghomrani³, Abderrezzaq Benalia^2,4, Antonio Pizzi⁵

Journal of Renewable Materials, Vol.13, No.1, pp. 127-146, 2025, DOI:10.32604/jrm.2024.056970 - 20 January 2025

Abstract This research aims to study the bio-adsorption process of two dyes, Cibacron Green H3G (CG-H3G) and Terasil Red (TR), in a single system and to bring them closer to the industrial textile discharge by a binary mixture of two dyes (TR+CG-H3G). The Cockle Shell (CS) was used as a natural bio-adsorbent. The characterizations of CS were investigated by Fourier transform infrared (FTIR), X-ray diffraction (XRD), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDX) and Brunauer–Emmett–Teller (BET). The adsorption potential of Cockle Shells was tested in two cases (single and binary system) and determined by: contact… More > Graphic Abstract

Sarvenaz Sadat Khatami¹, Mehrdad Shoeibi², Anita Ershadi Oskouei³, Diego Martín^4,*, Maral Keramat Dashliboroun⁵

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 881-911, 2025, DOI:10.32604/cmc.2024.059999 - 03 January 2025

Abstract The Internet of Things (IoT) is integral to modern infrastructure, enabling connectivity among a wide range of devices from home automation to industrial control systems. With the exponential increase in data generated by these interconnected devices, robust anomaly detection mechanisms are essential. Anomaly detection in this dynamic environment necessitates methods that can accurately distinguish between normal and anomalous behavior by learning intricate patterns. This paper presents a novel approach utilizing generative adversarial networks (GANs) for anomaly detection in IoT systems. However, optimizing GANs involves tuning hyper-parameters such as learning rate, batch size, and optimization algorithms,… More >

T. M. Ilyas^a, F. M. Sadigov^a, N. Sh. Mammadova^a, Y. I. Aliyev^b,c, R. E. Huseynov^d,*

Chalcogenide Letters, Vol.21, No.9, pp. 707-717, 2024, DOI:10.15251/CL.2024.219.707

Abstract The Ho-Bi-Te ternary system was studied by DTA, X-ray diffraction, and MSA, as well as by measuring microhardness and determining density, congruent triangulation scheme and projection of the liquidus surface, types and coordinates of mono- and invariant equilibria. It is established that this system is triangulated into five pseudo-ternary systems. It was discovered that an incongruently melting ternary compound containing HoBiTe₃ is formed in the Ho-Bi-Te ternary system. X-ray phase analysis established that the HoBiTe₃ compound crystallises in a tetragonal system with lattice parameters: a = 19.99, с = 13.82 Å, Z = 3. Studying the More >

M. A. Sadi^a,*, A. Mahmood^b, W. Al-Masry^b, C. W. Dunnill^c, N. Mahmood^d

Chalcogenide Letters, Vol.21, No.12, pp. 965-976, 2024, DOI:10.15251/CL.2024.2112.965

Abstract The device which combines the outcomes supercapacitor (SC) and battery is known as supercapattery. Due to their high conductivity, sensitivity, and storage capacity, carbon nanotubes have drawn attention in energy storage (EES) applications. To achieve highperformance supercapattery, this study used an electrode based on carbon nanotubes (CNTs) and manganese magnesium sulfide (MnMgS). It showed 963 C/g specific capacity which is significantly greater than the reference sample's value of 1 A/g. The supercapattery is engineered using the CNT-doped MnMgS electrode (MnMgS/CNT//AC), which has a specific capacity (C_s) of 268 Cg^-1 at 1 Ag^-1 current density. A significantly higher More >

Yanina N. Parshakova^*, Andrey Ivantsov

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.12, pp. 2709-2720, 2024, DOI:10.32604/fdmp.2024.052396 - 23 December 2024

Abstract During the manufacturing or processing of materials, large volumes of water of the required quality are often needed. Industrial water treatment and water purification is the process of removing impurities and pollution from the considered medium. To obtain liquid with specified quality parameters, complex systems of filters and treatment facilities are generally used. In this work, the cleaning process for a filtration column is studied. Three-dimensional numerical simulations of flow in a columnar array consisting of a porous medium are conducted. In particular, a model case corresponding to laboratory conditions is examined, with potassium salt… More >

Zhesheng Zhao¹, Shuai Li¹, Rui Han^2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.012080

Abstract This study investigates the interactions between droplets and bubbles within water-in-oil (O/W) and oil-in-water (W/O) systems, a fundamental problem of bubble dynamics in binary immiscible fluid systems. Considering the density ratio between the two fluids and the bubble-to-droplet size ratio, we have refined the classical spherical bubble pulsation equation, Rayleigh collapse time, and the natural frequency. In our experimental study, we found that the Rayleigh-Taylor (RT) instability hardly develops on the surface of the droplet when the densities of the two liquids are comparable. This phenomenon is explained using the classic theory of spherical RT More >

Feyza Altunbey Özbay¹, Erdal Özbay², Farhad Soleimanian Gharehchopogh^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1067-1110, 2024, DOI:10.32604/cmes.2024.054334 - 27 September 2024

Abstract Artificial rabbits optimization (ARO) is a recently proposed biology-based optimization algorithm inspired by the detour foraging and random hiding behavior of rabbits in nature. However, for solving optimization problems, the ARO algorithm shows slow convergence speed and can fall into local minima. To overcome these drawbacks, this paper proposes chaotic opposition-based learning ARO (COARO), an improved version of the ARO algorithm that incorporates opposition-based learning (OBL) and chaotic local search (CLS) techniques. By adding OBL to ARO, the convergence speed of the algorithm increases and it explores the search space better. Chaotic maps in CLS… More > Graphic Abstract