Arvind Mukundan^1,2, Riya Karmakar¹, Devansh Gupta³, Hsiang-Chen Wang^1,4,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.069646 - 10 November 2025

Abstract Modern manufacturing processes have become more reliant on automation because of the accelerated transition from Industry 3.0 to Industry 4.0. Manual inspection of products on assembly lines remains inefficient, prone to errors and lacks consistency, emphasizing the need for a reliable and automated inspection system. Leveraging both object detection and image segmentation approaches, this research proposes a vision-based solution for the detection of various kinds of tools in the toolkit using deep learning (DL) models. Two Intel RealSense D455f depth cameras were arranged in a top down configuration to capture both RGB and depth images… More >

Ran Wei^*, Hui Shu

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.069562 - 10 November 2025

Abstract Transformer-based models have significantly advanced binary code similarity detection (BCSD) by leveraging their semantic encoding capabilities for efficient function matching across diverse compilation settings. Although adversarial examples can strategically undermine the accuracy of BCSD models and protect critical code, existing techniques predominantly depend on inserting artificial instructions, which incur high computational costs and offer limited diversity of perturbations. To address these limitations, we propose AIMA, a novel gradient-guided assembly instruction relocation method. Our method decouples the detection model into tokenization, embedding, and encoding layers to enable efficient gradient computation. Since token IDs of instructions are… More >

Xiaoyu Wen^1,2, Haohao Liu^1,2, Xinyu Zhang^1,2, Haoqi Wang^1,2, Yuyan Zhang^1,2, Guoyong Ye^1,2, Hongwen Xing³, Siren Liu³, Hao Li^1,2,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-27, 2026, DOI:10.32604/cmc.2025.069492 - 10 November 2025

Abstract Aircraft assembly is characterized by stringent precedence constraints, limited resource availability, spatial restrictions, and a high degree of manual intervention. These factors lead to considerable variability in operator workloads and significantly increase the complexity of scheduling. To address this challenge, this study investigates the Aircraft Pulsating Assembly Line Scheduling Problem (APALSP) under skilled operator allocation, with the objective of minimizing assembly completion time. A mathematical model considering skilled operator allocation is developed, and a Q-Learning improved Particle Swarm Optimization algorithm (QLPSO) is proposed. In the algorithm design, a reverse scheduling strategy is adopted to effectively… More >

Huaao Jiang^#, Bianyifan Xu^#, Yang Gui, Ying Xia, Xu Yin, Chao Zhang, Yue Meng, Xin Yu, Yan Wang, Hongmei Xia^*

Journal of Polymer Materials, Vol.42, No.4, pp. 993-1033, 2025, DOI:10.32604/jpm.2025.071740 - 26 December 2025

Abstract Traditional Chinese medicine (TCM) has a long history and is widely used to prevent and treat various diseases. With the development of modern technology, an increasing number of active ingredients—such as curcumin, berberine, and baicalin—have been identified and validated within TCM. Concurrently, the emergence of nanotechnology has led to the discovery of numerous nanomedicines based on the self-assembly of active ingredients from TCM. Polymer materials can enhance the bioavailability of these active compounds and reduce their toxic side effects. Moreover, compared to synthetic polymers, natural polymer materials offer advantages such as non-toxicity and high biosafety… More >

Jing Qu¹, Yanmei Li^1,2, Changrong Liu¹, Wen Wang¹, Weiping Fu^1,3,*

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3787-3810, 2025, DOI:10.32604/cmc.2025.065895 - 03 July 2025

Abstract Despite the gradual transformation of traditional manufacturing by the Human-Robot Collaboration Assembly (HRCA), challenges remain in the robot’s ability to understand and predict human assembly intentions. This study aims to enhance the robot’s comprehension and prediction capabilities of operator assembly intentions by capturing and analyzing operator behavior and movements. We propose a video feature extraction method based on the Temporal Shift Module Network (TSM-ResNet50) to extract spatiotemporal features from assembly videos and differentiate various assembly actions using feature differences between video frames. Furthermore, we construct an action recognition and segmentation model based on the Refined-Multi-Scale… More >

Chengquan Wang^1,2, Rongyang Liu¹, Xinquan Wang^1,2,*, Boyan Ping³, Haimin Qian^1,2, Xiao Li¹, Yuhan Liang¹

Structural Durability & Health Monitoring, Vol.19, No.4, pp. 819-850, 2025, DOI:10.32604/sdhm.2025.060580 - 30 June 2025

Abstract This article provides an overview of the current development status of prestressed segmental precast and assembled piers, Emphasis was placed on analyzing the stress characteristics of bridge piers under impact. The concept of recoverable functional design and its application prospects were elaborated, and finally, the research on the impact resistance performance of prestressed segmental precast and assembled piers was discussed. Research has shown that optimizing design and material selection can effectively enhance the impact resistance and structural durability of bridge piers. At the same time, the introduction of the concept of recoverable functionality provides new More >

Song Gao, Shixin Liu^*

CMC-Computers, Materials & Continua, Vol.83, No.3, pp. 5623-5641, 2025, DOI:10.32604/cmc.2025.058334 - 19 May 2025

Abstract With the development of economic globalization, distributed manufacturing is becoming more and more prevalent. Recently, integrated scheduling of distributed production and assembly has captured much concern. This research studies a distributed flexible job shop scheduling problem with assembly operations. Firstly, a mixed integer programming model is formulated to minimize the maximum completion time. Secondly, a Q-learning-assisted co-evolutionary algorithm is presented to solve the model: (1) Multiple populations are developed to seek required decisions simultaneously; (2) An encoding and decoding method based on problem features is applied to represent individuals; (3) A hybrid approach of heuristic… More >

Chao-Hsien Hsieh¹, Qingqing Yang^2,*, Dehong Kong², Fengya Xu², Hongmei Wang²

CMC-Computers, Materials & Continua, Vol.82, No.2, pp. 2869-2891, 2025, DOI:10.32604/cmc.2024.058122 - 17 February 2025

Abstract The Cyber-Physical Systems (CPS) supported by Wireless Sensor Networks (WSN) helps factories collect data and achieve seamless communication between physical and virtual components. Sensor nodes are energy-constrained devices. Their energy consumption is typically correlated with the amount of data collection. The purpose of data aggregation is to reduce data transmission, lower energy consumption, and reduce network congestion. For large-scale WSN, data aggregation can greatly improve network efficiency. However, as many heterogeneous data is poured into a specific area at the same time, it sometimes causes data loss and then results in incompleteness and irregularity of… More >

Sara Mattiello, Carlo Santulli^*

Journal of Renewable Materials, Vol.13, No.1, pp. 1-19, 2025, DOI:10.32604/jrm.2024.056251 - 20 January 2025

Abstract Taking a widely contaminated yet abundant waste, such as poultry feathers, and extracting keratin from this structure appears to be a real challenge whenever the preservation of the secondary structure of the protein is desired. This process would allow exploiting it in ways (e.g., in the biomedical field) that are inspired by a structure that is primarily designed for flight, therefore capable specifically of withstanding flexure and lateral buckling, also with very low thicknesses. The preservation of the structure is based on disulfide crosslinks, and it is offered with preference by some chemical treatments, mainly… More > Graphic Abstract

Chenchen Zhou^1,2, Shuaishuai Liang³, Bin Qi³, Chenxu Liu², Nam-Joon Cho^1,*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.3, pp. 1-2, 2024, DOI:10.32604/icces.2024.012380

Abstract Micro tools/parts are attracting increasing attention due to the miniaturization evolutionary tendency in many fields, whose functionalities are critically determined by their materials and shapes [1- 5]. Sharp-edged ceramic microparticles have great prospects to be used as micromachining tools and micro components. However, it remains a huge challenge to fabricate nontransparent ceramic sharp-edged microparticles in a high-throughput way while taking their shape complexity, precision, and strength into account [6-8]. Herein, we present an online mixing and in-situ polymerization strategy: “one-pot microfluidic fabrication” along with two novel microfluidic device fabrication methods: “groove & tongue” and sliding More >