Khadija Manzoor¹, Fiaz Majeed², Ansar Siddique², Talha Meraj³, Hafiz Tayyab Rauf^4,*, Mohammed A. El-Meligy⁵, Mohamed Sharaf⁶, Abd Elatty E.Abd Elgawad⁶

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1459-1459, 2025, DOI:10.32604/cmc.2024.061588 - 03 January 2025

Abstract This article has no abstract. More >

Hongxing Wang¹, Xilai Ju², Hua Zhu^1,*, Huafeng Li^1,*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 1417-1437, 2025, DOI:10.32604/cmc.2024.058785 - 03 January 2025

Abstract Traditional data-driven fault diagnosis methods depend on expert experience to manually extract effective fault features of signals, which has certain limitations. Conversely, deep learning techniques have gained prominence as a central focus of research in the field of fault diagnosis by strong fault feature extraction ability and end-to-end fault diagnosis efficiency. Recently, utilizing the respective advantages of convolution neural network (CNN) and Transformer in local and global feature extraction, research on cooperating the two have demonstrated promise in the field of fault diagnosis. However, the cross-channel convolution mechanism in CNN and the self-attention calculations in… More > Graphic Abstract

Xiaoyun Chen¹, Lanyao Zhang¹, Xiaoling Chen¹, Yigang Cen², Linna Zhang^1,*, Fugui Zhang¹

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 521-542, 2025, DOI:10.32604/cmc.2024.058063 - 03 January 2025

Abstract Solar cell defect detection is crucial for quality inspection in photovoltaic power generation modules. In the production process, defect samples occur infrequently and exhibit random shapes and sizes, which makes it challenging to collect defective samples. Additionally, the complex surface background of polysilicon cell wafers complicates the accurate identification and localization of defective regions. This paper proposes a novel Lightweight Multi-scale Feature Fusion network (LMFF) to address these challenges. The network comprises a feature extraction network, a multi-scale feature fusion module (MFF), and a segmentation network. Specifically, a feature extraction network is proposed to obtain… More >

Xueyan Ding^1,2, Xiyu Chen¹, Jiaxin Wang¹, Jianxin Zhang^1,2,*

CMC-Computers, Materials & Continua, Vol.82, No.1, pp. 713-727, 2025, DOI:10.32604/cmc.2024.057655 - 03 January 2025

Abstract Underwater target detection is extensively applied in domains such as underwater search and rescue, environmental monitoring, and marine resource surveys. It is crucial in enabling autonomous underwater robot operations and promoting ocean exploration. Nevertheless, low imaging quality, harsh underwater environments, and obscured objects considerably increase the difficulty of detecting underwater targets, making it difficult for current detection methods to achieve optimal performance. In order to enhance underwater object perception and improve target detection precision, we propose a lightweight underwater target detection method using You Only Look Once (YOLO) v8 with multi-scale cross-channel attention (MSCCA), named… More >

Xiaobo Yu^1,2,3, Jiangang An^1,3, Mingrong Zhang^1,3, Haiying Wu^1,3, Taiwen Yong², Wenyu Yang^2,*

Phyton-International Journal of Experimental Botany, Vol.93, No.12, pp. 3387-3399, 2024, DOI:10.32604/phyton.2024.058494 - 31 December 2024

Abstract Relay strip intercropping (RSI) increases soybean nodule number and nitrogen fixation activity at the reproductive stage more than monocropping (M), but the effect of changes in the environment, especially light, on nodules during the coexistence duration and vegetative stage, is unclear. To determine the impact of shading on nodule development at the seedling stage, nodule traits, distribution, and physiological function were compared between M and RSI in a potting experiment in a field environment. Compared with M, nodule number and weight decreased significantly (an average of 81.77% and 93.16%, respectively); thus, the exponential relationship… More >

Surbhi Bhatia Khan^1,2,*, Mohammad Alojail³, Mahesh Thyluru Ramakrishna⁴, Hemant Sharma⁵

CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4895-4914, 2024, DOI:10.32604/cmc.2024.057585 - 19 December 2024

Abstract In Intelligent Manufacturing, Big Data and industrial information enable enterprises to closely monitor and respond to precise changes in both internal processes and external environmental factors, ensuring more informed decision-making and adaptive system management. It also promotes decision making and provides scientific analysis to enhance the efficiency of the operation, cost reduction, maximizing the process of production and so on. Various methods are employed to enhance productivity, yet achieving sustainable manufacturing remains a complex challenge that requires careful consideration. This study aims to develop a methodology for effective manufacturing sustainability by proposing a novel Hybrid… More >

Dongdong Gu^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.32, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.013403

Abstract In this presentation, we will report our recent research progress and prospect in the fields of laser additive manufacturing (AM) / 3D printing (3DP) of high-performance/multi-functional lightweight metallic components for aerospace applications. The innovative elements of AM including multi-material layout, innovative structural design, tailored printing process, and resultant high performance and multiple functions of components will be addressed. For a tailored printing process, some key scientific issues in AM process control deserve to be studied, including interaction of energy and printed matter, thermodynamic and dynamic behavior of printing, relationship of process parameters, microstructure and properties. More >

Ivan Couée^*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2707-2714, 2024, DOI:10.32604/phyton.2024.058101 - 30 November 2024

Abstract The 15-carbon terpenoid abscisic acid (ABA) acts in vascular plants as a versatile hormone playing essential roles in reproductive development, vegetative development and growth, stress-development interactions, and physiological responses to abiotic and biotic stresses. Over the past 60 years, ABA dynamics, regulation, and responses have been progressively characterized: synthesis, transport and translocation, conjugation and deconjugation, metabolism, sensing, signal transduction, and downstream responses. In this context, the discovery of ABA exporters and importers has added novel dimensions to the understanding of ABA regulation. Moreover, since the initial discovery of the adenosine triphosphate-binding cassette (ABC) AtABCG25 exporter… More >

Yue Zhao^1,2,#, Shah Faheem Afzal^2,#, Zhu Chen², Khan Arif Kamal^1,2, Yuzhi Fei², Xin Meng^1,2, Jie Ren^2,*, Hua Liu^1,*

Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 3109-3130, 2024, DOI:10.32604/phyton.2024.056548 - 30 November 2024

Abstract Acer rubrum is an important garden color-leafed plant. Its leaves will turn red in autumn, which is of great ornamental value. The leaf color change in Acer rubrum is closely associated with anthocyanins accumulation. In anthocyanin synthesis and accumulation, various transcription factor families play significant regulatory roles, including the basic (region) leucine zipper (bZIP). However, there is no report on the systematic identification and functional analysis of the bZIPs in Acer rubrum. In this study, 137 bZIPs distributed on 29 chromosomes of Acer rubrum were identified and renamed according to their locations on the chromosomes. According to the constructed… More >

Xiayun Zhao^1,*, Yue Zhang¹, Heyang Zhang¹, Yousra Bensouda¹, Md Jahangir Alam¹, Haolin Zhang¹, Yiquan Wang¹

The International Conference on Computational & Experimental Engineering and Sciences, Vol.31, No.2, pp. 1-2, 2024, DOI:10.32604/icces.2024.011485

Abstract Vat photopolymerization (VPP) among other additive manufacturing (AM) processes have a great potential to rapidly print complex 3D components out of a matrix of photo-curable resin. Current VPP processes utilize single-wavelength light exposure, imposing limitations on print speed and throughput, especially in multi-material AM. This is attributed to delays in material switch-over mechanisms. Additionally, the resolution of conventional single-wavelength VPP is constrained by over-curing. Despite ongoing efforts and progress in VPP, there remains a need for effective approaches to address these persistent issues. In this work, we report our development of two-wavelength digital light processing-based… More >