Leonardo Di G. Sigalotti^*, Carlos A. Vargas

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.3, pp. 2281-2337, 2025, DOI:10.32604/cmes.2025.060497 - 03 March 2025

Abstract The evaporation of micrometer and millimeter liquid drops, involving a liquid-to-vapor phase transition accompanied by mass and energy transfer through the liquid-vapor interface, is encountered in many natural and industrial processes as well as in numerous engineering applications. Therefore, understanding and predicting the dynamics of evaporating flows have become of primary importance. Recent efforts have been addressed using the method of Smoothed Particle Hydrodynamics (SPH), which has proven to be very efficient in correctly handling the intrinsic complexity introduced by the multiscale nature of the evaporation process. This paper aims to provide an overview of… More > Graphic Abstract

Hanli Bi¹, Zheng Peng², Chenpeng Liu³, Zhichao Jia¹, Guoguang Li¹, Yuandong Guo², Hongxing Zhang^1,*, Jianyin Miao¹

Frontiers in Heat and Mass Transfer, Vol.23, No.1, pp. 55-70, 2025, DOI:10.32604/fhmt.2024.057933 - 26 February 2025

Abstract As space technology advances, thermal control systems must effectively collect and dissipate heat from distributed, multi-source environments. Loop heat pipe is a highly reliable two-phase heat transfer component, but it has several limitations when addressing multi-source heat dissipation. Inspired by the transport and heat dissipation system of plants, large trees achieve stable and efficient liquid supply under the influence of two driving forces: capillary force during transpiration in the leaves (pull) and root pressure generated by osmotic pressure in the roots (push). The root pressure provides an effective liquid supply with a driving force exceeding… More >

Hairani Hairani^1,2, Triyanna Widiyaningtyas^1,*, Didik Dwi Prasetya¹, Afrig Aminuddin³

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2931-2949, 2025, DOI:10.32604/cmc.2024.060837 - 17 February 2025

Abstract An imbalanced dataset often challenges machine learning, particularly classification methods. Underrepresented minority classes can result in biased and inaccurate models. The Synthetic Minority Over-Sampling Technique (SMOTE) was developed to address the problem of imbalanced data. Over time, several weaknesses of the SMOTE method have been identified in generating synthetic minority class data, such as overlapping, noise, and small disjuncts. However, these studies generally focus on only one of SMOTE’s weaknesses: noise or overlapping. Therefore, this study addresses both issues simultaneously by tackling noise and overlapping in SMOTE-generated data. This study proposes a combined approach of… More >

Nada Mohammed Murad¹, Adnan Yousif Dawod², Saadaldeen Rashid Ahmed^3,4,*, Ravi Sekhar⁵, Pritesh Shah⁵

Intelligent Automation & Soft Computing, Vol.40, pp. 1-27, 2025, DOI:10.32604/iasc.2024.058624 - 10 January 2025

Abstract This study introduces an innovative hybrid approach that integrates deep learning with blockchain technology to improve cybersecurity, focusing on network intrusion detection systems (NIDS). The main goal is to overcome the shortcomings of conventional intrusion detection techniques by developing a more flexible and robust security architecture. We use seven unique machine learning models to improve detection skills, emphasizing data quality, traceability, and transparency, facilitated by a blockchain layer that safeguards against data modification and ensures auditability. Our technique employs the Synthetic Minority Oversampling Technique (SMOTE) to equilibrate the dataset, therefore mitigating prevalent class imbalance difficulties… More >

Syed Tasnimul Karim Ayon^1,#, Farhan Md. Siraj^1,#, Jia Uddin^2,*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 499-520, 2025, DOI:10.32604/cmc.2025.058361 - 03 January 2025

Abstract This study investigates the application of Learnable Memory Vision Transformers (LMViT) for detecting metal surface flaws, comparing their performance with traditional CNNs, specifically ResNet18 and ResNet50, as well as other transformer-based models including Token to Token ViT, ViT without memory, and Parallel ViT. Leveraging a widely-used steel surface defect dataset, the research applies data augmentation and t-distributed stochastic neighbor embedding (t-SNE) to enhance feature extraction and understanding. These techniques mitigated overfitting, stabilized training, and improved generalization capabilities. The LMViT model achieved a test accuracy of 97.22%, significantly outperforming ResNet18 (88.89%) and ResNet50 (88.90%), as well… More >

Sourabh Mhaski^*, G. V. Ramana

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 251-277, 2025, DOI:10.32604/cmes.2024.055963 - 17 December 2024

Abstract Earthquake-induced soil liquefaction poses significant risks to the stability of geotechnical structures worldwide. An understanding of the liquefaction triggering, and the post-failure large deformation behaviour is essential for designing resilient infrastructure. The present study develops a Smoothed Particle Hydrodynamics (SPH) framework for earthquake-induced liquefaction hazard assessment of geotechnical structures. The coupled flow-deformation behaviour of soils subjected to cyclic loading is described using the PM4Sand model implemented in a three-phase, single-layer SPH framework. A staggered discretisation scheme based on the stress particle SPH approach is adopted to minimise numerical inaccuracies caused by zero-energy modes and tensile… More >

Chen Hao, Chunfeng Mu, Xinyan Yu, Xiaoran Chen, Mengmeng Zhu, Jianrui Wang^*, Yu Liu^*

Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3549-3572, 2024, DOI:10.32604/phyton.2024.056114 - 31 December 2024

Abstract Entoloma clypeatum, a kind of edible ectomycorrhizal fungus, can be usually symbiotic with Rosaceae fruit trees. Fruit trees have become an important part of China’s agriculture. The present work focused on exploring how E. clypeatum affected symbiotic Rosaceae plants and establishing a symbiotic culture with Malus robusta, Pyrus betulifolia and Prunus armeniaca rootstocks. The results showed that E. clypeatum and three Rosaceae plants can generate cylindrical or clavate mycorrhizae. The inoculation treatment had different degrees of positive effects on the three plants. Relative to the non-inoculated group, biomass in symbiotic plants increased (32.8%–191.1%), and photosynthesis enhanced. In the level of… More >

Dazhi E¹, Jiale Liu², Ming Zhang^1,*, Huiyuan Jiang², Keming Mao²

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3853-3880, 2024, DOI:10.32604/cmc.2024.057538 - 19 December 2024

Abstract Imbalance is a distinctive feature of many datasets, and how to make the dataset balanced become a hot topic in the machine learning field. The Synthetic Minority Oversampling Technique (SMOTE) is the classical method to solve this problem. Although much research has been conducted on SMOTE, there is still the problem of synthetic sample singularity. To solve the issues of class imbalance and diversity of generated samples, this paper proposes a hybrid resampling method for binary imbalanced data sets, RE-SMOTE, which is designed based on the improvements of two oversampling methods parameter-free SMOTE (PF-SMOTE) and… More >

Ruike Shi¹, Haitian Yang¹, Yue Mei¹, Yiqian He^1,2,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.012458

Abstract Soft biological tissues, like cartilage or arteries, are often modeled as biphasic, considering both solid matrix and interstitial fluid [1]. This biphasic behavior involves chemo-mechanical couplings that control interstitial fluid osmotic pressure [2]. Therefore, the research on the inverse problems of osmotic pressure in soft tissues is important. In this paper, the authors propose a virtual fields method (VFM) for identifying the constitutive model of solid-liquid biphasic hyperelasticity. This method constructs virtual fields based on finite elements (FE) to solve linearly independent virtual fields that can automatically satisfy constraint conditions of the solution of VFM.… More >

Yuxiang Peng^1,*, Pengnan Sun¹, Niannian Liu¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.3, pp. 1-1, 2024, DOI:10.32604/icces.2024.011902

Abstract Immersed boundary method (IBM) has been widely applied in the simulation of fluid-structure interaction problems. The traditional direct force model is less accurate, and the sharp-interface approaches involve complex topological operations which are not conducive to dealing with complex structures. The boundary data immersion method (BDIM) is a new fluid-structure coupling scheme that does not need to cut the mesh and can be extended to reach second-order accuracy. However, the traditional boundary data immersion method needs special treatment to deal with the sharp corners of the structure. In the present work, the volume fraction of More >