Lei Wang^1,2, Menghan Wei², Ziwei Huangfu³, Shunjie Zhu², Xuejian Ge^1,*, Zhengquan Li⁴

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-32, 2026, DOI:10.32604/cmc.2025.071295 - 09 December 2025

Abstract Iterative Learning Control (ILC) provides an effective framework for optimizing repetitive tasks, making it particularly suitable for high-precision applications in both precision manufacturing and intelligent transportation systems (ITS). This paper presents a systematic review of ILC’s developmental progress, current methodologies, and practical implementations across these two critical domains. The review first analyzes the key technical challenges encountered when integrating ILC into precision manufacturing workflows. Through case studies, it evaluates demonstrated improvements in positioning accuracy, surface finish quality, and production throughput. Furthermore, the study examines ILC’s applications in ITS, with particular focus on vehicular motion control More >

Sumaia Mohamed Elhassan¹, Saad Mohamed Darwish^1,*, Saleh Mesbah Elkaffas²

CMES-Computer Modeling in Engineering & Sciences, Vol.142, No.1, pp. 835-867, 2025, DOI:10.32604/cmes.2024.058770 - 17 December 2024

Abstract Lung cancer continues to be a leading cause of cancer-related deaths worldwide, emphasizing the critical need for improved diagnostic techniques. Early detection of lung tumors significantly increases the chances of successful treatment and survival. However, current diagnostic methods often fail to detect tumors at an early stage or to accurately pinpoint their location within the lung tissue. Single-model deep learning technologies for lung cancer detection, while beneficial, cannot capture the full range of features present in medical imaging data, leading to incomplete or inaccurate detection. Furthermore, it may not be robust enough to handle the… More >

Feng Zhao, Xiaotong Zhu^*, Xiaoqiang Chen, Ying Wang

Energy Engineering, Vol.121, No.9, pp. 2585-2601, 2024, DOI:10.32604/ee.2024.049762 - 19 August 2024

Abstract In order to fully utilize the regenerative braking energy of metro trains and stabilize the metro DC traction busbar voltage, a hybrid regenerative braking energy recovery system with a dual-mode power management strategy is proposed. Firstly, the construction of the hybrid regenerative braking energy recovery system is explained. Then, based on the power demand of low-voltage load in metro stations, a dual-mode power management strategy is proposed to allocate the reference power of each system according to the different working conditions, and the control methods of each system are set. Finally, the correctness and effectiveness More > Graphic Abstract

Zhiruo Zhang, Feng Wang^*, Yang Liu, Yang Lu, Xinlei Liu

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3113-3129, 2023, DOI:10.32604/cmc.2023.040600 - 08 October 2023

Abstract The consensus protocol is one of the core technologies in blockchain, which plays a crucial role in ensuring the block generation rate, consistency, and safety of the blockchain system. Blockchain systems mainly adopt the Byzantine Fault Tolerance (BFT) protocol, which often suffers from slow consensus speed and high communication consumption to prevent Byzantine nodes from disrupting the consensus. In this paper, this paper proposes a new dual-mode consensus protocol based on node identity authentication. It divides the consensus process into two subprotocols: Check_BFT and Fast_BFT. In Check_BFT, the replicas authenticate the primary’s identity by monitoring… More >

WEI PAN^1,2,3,*, YE HE¹, MENGDONG HE^1,2,3, FEI WANG^1,2,3, LIHUA QIU^1,2

BIOCELL, Vol.46, No.4, pp. 1079-1088, 2022, DOI:10.32604/biocell.2022.016934 - 15 December 2021

Abstract Photodynamic therapy (PDT) has emerged as a novel therapeutic modality for cancer treatment, but its therapeutic efficacy is severely limited by the hypoxic tumor microenvironment (TME). Here we designed an innovative multifunctional nano-platform which consists of a hollow MnO₂ shell and internal photosensitizer IR780. It is not only used for multimodal imaging of oral squamous cell carcinoma (OSCC), but also for adjustment hypoxic TME to enhance cancer treatment. Hollow MnO₂ can promote decomposition of tumor endogenous H₂O₂ to relieve tumor hypoxia, thereby enhancing the effect of photodynamic therapy. Photosensitizer IR780 generates singlet oxygen under laser irradiation to More >

Hun Jung¹, Jin Seok Kim¹, Jeong Soo Kim², Jeong Park³

The International Conference on Computational & Experimental Engineering and Sciences, Vol.11, No.4, pp. 125-126, 2009, DOI:10.3970/icces.2009.011.125

Abstract An injector plays an important role in the process of an efficient combustion in liquid-rocket engines (LRE) because it affects the evaporation rate of liquid fuel through spatial distribution and atomization of spray droplets. This paper is focused on the injection performance of a small LRE-Injector by employing the spray characteristic parameters made up of the velocity components, mean diameter, turbulence intensity, span (width of drop size distribution), number density, and volume flux of spray droplets. An experimental investigation is carried out with the aid of a dual-mode phase Doppler anemometry (DPDA) according to the… More >