Archives of Computational Methods in Engineering最新文献

{"title":"Quantum Computing Applications in Engineering: Current Status and Future Prospects","authors":"Syivesh Rukmanikanthan,&nbsp;Hayana Dullah,&nbsp;Yun Xin Teoh,&nbsp;Ali Najah Ahmed","doi":"10.1007/s11831-026-10569-9","DOIUrl":"10.1007/s11831-026-10569-9","url":null,"abstract":"<div><p>Classical computational methods in engineering often face scalability limits in handling complex tasks, reducing efficiency in data- and computation-intensive settings. Quantum computing offers a complementary approach, with potential to outperform classical solvers in specific problem classes. This review explores its near-term potential (2024–2030), focusing on problem areas where quantum advantage is plausible and evaluating the maturity of related software and hardware. Publication trends are synthesized, and key engineering applications are analysed. Quantum toolchains like Qiskit, PennyLane, and Cirq are compared with classical baselines. Hardware developments are assessed for scalability, noise resilience, and integration. Hybrid quantum–classical workflows show the most near-term promise, especially in combinatorial optimization and small-scale eigenvalue problems. Although hardware continues to improve, challenges like noise and error correction remain. Quantum computing is unlikely to replace classical methods broadly within a decade, but targeted applications are achievable, emphasizing the need for benchmarking and interdisciplinary collaboration.</p></div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7595 - 7614"},"PeriodicalIF":12.9,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Note on Hypoelastic Models: A Benchmark-Oriented FEM Lagrangian Formulation in FeniCSx","authors":"Bastien Sauty,&nbsp;Claire Morin,&nbsp;Stéphane Avril,&nbsp;Michele Marino","doi":"10.1007/s11831-026-10561-3","DOIUrl":"10.1007/s11831-026-10561-3","url":null,"abstract":"<div><p>Hypoelastic formulations are commonly used for modeling materials undergoing large elastic deformations. Yet their lack of an underlying energy potential raises concerns about integrability and energy consistency. This work addresses the longstanding gap between the theoretical notion of integrability and its numerical realization in finite element implementations. We develop a total Lagrangian framework for hypoelasticity and implement it within the open-source FEniCSx platform, enabling direct comparison of various objective stress rates. Two stress-integration algorithms, namely a forward Euler and an implicit midpoint, are formulated and compared, together with a sub-iterative variant to enhance accuracy. The framework is tested through benchmark problems involving cyclic and non-proportional shear loading. We systematically assess the interplay between constitutive rate choice and numerical integration accuracy. The results confirm that classical Jaumann and Green–Naghdi stress rates are non-integrable for grade-zero hypoelasticity, producing residual stresses and spurious energy accumulation. Conversely, the logarithmic rate preserves path independence for grade-zero hypoelasticity. Moreover, we show that even theoretically integrable models can exhibit numerical non-integrability when discretized inconsistently. Finally, the framework is applied to a non-grade-zero hypoelastic model featuring a non-constant stiffness matrix derived from the Exponentiated Hencky energy, assessing its numerical integrability and performance. The proposed framework provides a transparent, extensible basis for evaluating hypoelastic models in boundary value problems, bridging theoretical consistency and computational practice. This supports the development of integrable constitutive formulations for large-deformation mechanics.</p></div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7451 - 7479"},"PeriodicalIF":12.9,"publicationDate":"2026-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11831-026-10561-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Systematic Review of Computational Models and Future Directions on Multi-Physics Interactions and Heat Transport Phenomena in Micropolar Systems","authors":"B. S. Sanju,&nbsp;R. Naveen Kumar,&nbsp;B. C. Prasannakumara,&nbsp;Fehmi Gamaoun,&nbsp;R. J. Punith Gowda,&nbsp;P. Siva Kota Reddy","doi":"10.1007/s11831-026-10541-7","DOIUrl":"10.1007/s11831-026-10541-7","url":null,"abstract":"<div>\u0000 \u0000 <p>A significant topic in transport problems emerges when a flow’s characteristic length scale approaches the granular or molecular dimensions of the medium. The use of micropolar fluid theory, which considers the particle rotation and coupling stresses that Newtonian models ignore is motivated in such situations by the importance of the intrinsic rotation and microstructural motion of the material constituents. Applications in thermal engineering, biological transport, lubrication, energy systems and polymer manufacturing all depend on an understanding of heat transfer in micropolar fluids. Recent developments in the heat transfer behaviour of micro-structured fluids under the impact of internal heat generation or absorption, thermal radiation, chemical reactions, Soret-Dufour effects, viscous dissipation, magnetic field and porous media are systematically examined in this study. Using major scientific databases, a PRISMA-guided literature assessment was carried out with an emphasis on peer-reviewed research that includes at least one multi-physics interaction and was published between 2021 and 2025. Excluded studies lacked micro-structured fluid formulations or thermal analysis. Significant obstacles still exist despite significant advancements, such as simplified material characteristics, little experimental confirmation and limited handling of intricate geometries and three-dimensional effects. By considering all these aspects, this review highlights important research gaps and offers a cohesive framework for comprehending multi-physics heat transfer in micropolar fluids. For researchers and engineers working on microfluidic systems, sophisticated thermal modelling and energy-related applications utilizing micro-structured fluids, the current review meant to act as a guide and roadmap.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7253 - 7280"},"PeriodicalIF":12.9,"publicationDate":"2026-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11831-026-10541-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Critical Review of Computational Methods for Fractional Differential Equations: Bridging Classical Discretizations and Learning-Based Approximations","authors":"Robert Dozva,&nbsp;Sicelo P. Goqo,&nbsp;Shina Daniel Oloniiju","doi":"10.1007/s11831-026-10568-w","DOIUrl":"10.1007/s11831-026-10568-w","url":null,"abstract":"<div>\u0000 \u0000 <p>Fractional differential equations, which use derivatives of non-integer order, represent an appropriate mathematical model for describing memory and hereditary effects of various physical, biological or engineering complex systems. Due to the non-locality of the operators involved in them, analytical solutions can be found very rarely, therefore numerical methods are rapidly developed. In this article we collect classical discretisation methods and contemporary acceleration and optimisation strategies for providing an overview of the state-of-the-art numerical solvers for solving of the above mentioned type of equations. We describe time stepping schemes, which are based on finite differences and convolution-quadrature, finite elements and discontinuous Galerkin methods, spectral and operational matrix, meshless collocation, semi-analytical series and physics-informed neural networks and other learning-based surrogates. The main contribution of the presented work is the unified treatment of the deterministic and stochastic fractional cases, where the problem of the existing research gap in the scalability of the variable order solvers is addressed. A simple classification scheme is proposed in this work, which will allow researchers to classify existing solvers and methods by using their discretisation method and the way they manage the history of the equation. Therefore, researchers may avoid the known problems in implementing existing solvers and may have a better idea about the possible ways to develop new efficient and structure preserving fractional integrators.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7571 - 7594"},"PeriodicalIF":12.9,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11831-026-10568-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Vision-Based Transformer Applications in Geotechnical Engineering - A Review and Comparative Study","authors":"V. S. S. D. Silva,&nbsp;M. Aminpour,&nbsp;N. Guo,&nbsp;D. J. Robert","doi":"10.1007/s11831-026-10571-1","DOIUrl":"10.1007/s11831-026-10571-1","url":null,"abstract":"<div>\u0000 \u0000 <p>This paper presents a comprehensive review and comparative study of existing and emerging transformer architectures for computer vision applications in geotechnics and geoscience. It is one of the first systematic investigations of transformer adoption in the geotechnics and geoscience fields. Over the past five years, transformer architectures have emerged as a powerful alternative to convolutional neural networks (CNNs) in computer vision because self-attention provides a flexible mechanism for modelling long-range spatial relationships and global contextual information in complex visual scenes commonly encountered in geotechnical and geoscience imaging tasks. This study provides an in-depth analysis of several widely used transformer architectures in the geotechnical domain, including the Vision Transformer (ViT), Swin Transformer, Detection Transformer (DETR) and SegFormer. The paper also summarises the application of various transformer-based architectures across diverse geotechnical areas, including Soil Characterisation and Property Inference, Geological Imaging and Subsurface Material Interpretation, Geohazard Detection and Earth Surface Monitoring, Transport and Civil Infrastructure Condition Assessment and Monitoring, and Subsurface Geophysics and Seismic Structure Analysis. The advantages and shortcomings of existing approaches are systematically outlined, along with key challenges and mitigation strategies for future research. Reviewed studies indicate that transformer and hybrid architectures are particularly effective for tasks requiring long-range dependency modelling and multi-scale contextual interpretation, although performance gains depend strongly on data availability, pretraining and computational cost. This review offers timely insights and serves as a valuable reference for researchers exploring the evolving field of vision-based deep learning (DL) in geotechnics and geoscience.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7637 - 7666"},"PeriodicalIF":12.9,"publicationDate":"2026-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11831-026-10571-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancements in Computer Vision–Based Fish Multi-Object Tracking: A Comprehensive Review","authors":"Yiran Liu,&nbsp;Mingrui Kong,&nbsp;Dingshuo Liu,&nbsp;Junliang Xu,&nbsp;Qingling Duan","doi":"10.1007/s11831-026-10554-2","DOIUrl":"10.1007/s11831-026-10554-2","url":null,"abstract":"<div>\u0000 \u0000 <p>The fish multi-object tracking technology has broad application value in aquaculture, ecological monitoring, and behavioral research. It supports intelligent farming, species diversity assessment, and the study of behavioral mechanisms. However, traditional fish multi-object tracking approaches often interfere with natural behaviors or cause physical stress to fish, limiting their applicability. Recent advances in computer vision have provided an efficient, non-invasive, and objective alternative for multi-object tracking in aquatic environments, enabling automated monitoring and intelligent management of fish. This review comprehensively examines the progress of fish multi-object tracking from a computer vision perspective. It first outlines the characteristics of aquatic objects and scenes and then analyzes the design principles, research progress, available datasets, and evaluation metrics associated with both two-dimensional and three-dimensional tracking methods. Comparative analyses are presented in terms of accuracy, real-time performance, and practical deployment, highlighting the unique challenges posed by underwater imaging conditions. Furthermore, it explores the diverse applications of these methods in behavior recognition, activity quantification, water quality assessment, ecological evaluation, and intelligent aquaculture systems. Finally, key technical challenges are identified, such as limited data acquisition, insufficient dataset diversity, the complexity of camera coordination and calibration, high model complexity, inadequate real-time performance and generalization capability, and identity consistency issues. Furthermore, the review proposes potential future directions, including multimodal data fusion, mobile and edge deployment, cross-camera collaboration, integration of large-scale models, and application expansion. By bridging computer vision and aquatic science, this review aims to provide both researchers and practitioners with a comprehensive understanding of fish multi-object tracking technologies and to highlight their growing potential in advancing intelligent monitoring and ecological research.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7397 - 7424"},"PeriodicalIF":12.9,"publicationDate":"2026-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing Healthcare Using Quantum Computing and Federated Learning: Challenges and Future Perspectives","authors":"Shilpa Ankalaki,&nbsp;Geetabai S. Hukkeri,&nbsp;Shaleen Bhatnagar","doi":"10.1007/s11831-026-10553-3","DOIUrl":"10.1007/s11831-026-10553-3","url":null,"abstract":"<div>\u0000 \u0000 <p>The increasing availability of electronic health records, medical imaging databases, and sensor-generated clinical datasets has boosted the need for privacy-preserving yet scalable analytical frameworks. In this regard, quantum computing and federated learning are becoming two focal points that may significantly shape future healthcare data processing. Quantum computing provides powerful tools for working with complex, high-dimensional optimization and learning problems, while federated learning facilitates collaborative model training without requiring the centralized exchange of sensitive information about patients. This review explores the integration of these two technologies and Quantum Split Federated Learning (QSFL) as a promising approach for secure and scalable co-operative health care analytics. The treatment then turns to discuss the quantum computation mathematical and algorithmic basics, and subsequently, quantum machine learning methods based on extremes of supervised, unsupervised, and semi-supervised modes. Special emphasis is placed on how QSFL can enable privacy-aware inter-institutional learning and enhance clinical decision support systems. It also surveys the applications for creating high-quality synthetic medical data sets for training, validation and data-sharing using quantum generative adversarial networks (qGANs). In addition to the technological opportunities this paper critically evaluates the practical challenges to real-world implementation, such as hardware limitations, communication costs, regulatory matters, and ethical considerations of a distributed medical learning system-based infrastructure and mechanism. In the end, the survey identifies important open research problems and provides suggestions for future research directions towards realizing quantum-enabled, privacy-preserving healthcare intelligence systems that are anticipated to usher in a new era of medical analytics.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7369 - 7396"},"PeriodicalIF":12.9,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s11831-026-10553-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aircraft Trim Condition Optimization Problems: A Comparative Study of Different Optimization Techniques","authors":"Pongpisit Suwunnasopha,&nbsp;Nantiwat Pholdee,&nbsp;Natee Panagant,&nbsp;Sujin Bureerat,&nbsp;Jarupol Suriyawanakul,&nbsp;Ali Riza Yildiz","doi":"10.1007/s11831-026-10570-2","DOIUrl":"10.1007/s11831-026-10570-2","url":null,"abstract":"<div>\u0000 \u0000 <p>The problem of determining the trim condition of an aircraft plays a crucial role in analyzing flight capability by maintaining flight stability in various flight modes. This is achieved by adjusting parameters such as aerodynamic angles, Euler angles of the aircraft, and various control parameters, by examining the balance of forces and moments from nonlinear equations of motion transformed into equilibrium equations at steady-state conditions. These conditions are determined by the dynamic flight conditions, and numerical calculation methods are used to solve this problem using optimization techniques. This study presents a performance comparison of two gradient-based optimizers and ten metaheuristics. To ensure diversity in comparison, experiments are conducted on various trim condition cases and multiple aircraft models. The performance evaluation of each algorithm focuses on key criteria: computational resource usage, convergence speed, consistency, and computational complexity. There are twenty optimization problems consisting of five trim conditions of four aircraft configurations. From the obtained results, gradient-based optimizers can outperform metaheuristics in all problems. SQP is the best optimizer in this study. L-SHADE is the best algorithm among the metaheuristics, but its performance is still obviously worse than the gradient-based optimizers. Conclusively, gradient-based optimizers are obviously more suitable for aircraft trim problems in this study.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7615 - 7635"},"PeriodicalIF":12.9,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Survey of Structural Attacks on Post-Quantum Cryptosystems Based on Goppa Codes: Evolution, Scope, and Impact on their Variants in the Hamming Metric","authors":"Latifa Mostari,&nbsp;Alban Goupil,&nbsp;Abdelmalik Taleb-Ahmed","doi":"10.1007/s11831-026-10567-x","DOIUrl":"10.1007/s11831-026-10567-x","url":null,"abstract":"<div>\u0000 \u0000 <p>With the advent of quantum computing, public-key cryptographic systems such as RSA (Rivest–Shamir–Adleman) and ECC (Elliptic Curve Cryptography) have become vulnerable to Shor’s quantum algorithm, leading to a growing interest in post-quantum cryptography. Among the post-quantum approaches, code-based cryptography stands out for its strong theoretical foundations and proven resistance to both classical and quantum attacks. The McEliece cryptosystem is the most emblematic example. It is based on binary Goppa codes, which are algebraic block codes defined in the Hamming metric. However, it suffers from a major limitation due to the large size of its public keys, which restricts its practical applicability. To overcome this limitation, several variants of the original scheme have been introduced. Nevertheless, these new cryptographic schemes often introduce additional algebraic structures that attackers can exploit, thereby enabling new forms of structural attacks and, in some cases, weakening the robustness of the original scheme. This work presents a survey of the approaches proposed with the aim of developing structural attacks against systems based on Goppa codes. It highlights their theoretical foundations, the algorithmic methods employed, as well as their practical scope and limitations, particularly in the context of compact variants of the McEliece cryptosystem. This study also traces the evolution of these approaches toward certain variants of the McEliece scheme and analyzes how they have led to more targeted and efficient attacks. These generalizations have often made it possible to simplify or optimize earlier, more complex attacks.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7539 - 7570"},"PeriodicalIF":12.9,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence in Diabetic Retinopathy Detection: A Decade of Progress from Machine Learning to Transformer-Based Frameworks","authors":"Vijaya Kumar Sagenela,&nbsp;Karthika Gidijala,&nbsp;Santoshachandra Rao Karanam,&nbsp;N. Shyam Sunder Sagar","doi":"10.1007/s11831-026-10564-0","DOIUrl":"10.1007/s11831-026-10564-0","url":null,"abstract":"<div>\u0000 \u0000 <p>Diabetic Retinopathy (DR) is a principal cause of preventable blindness in the developed world. The increasing worldwide pandemic of diabetes and a shortage of ophthalmologists have heightened the need for automatic, robust early-stage screeners. Over the past decade, research has shifted away from traditional machine-learning (hand-crafted) pipelines to deep or transformer-based models that can learn intricate retinal representations directly from fundus images. This PRISMA-compliant systematic review analyses 50 papers through IEEE Xplore, PubMed, Scopus, WoS (Web of Science), ScienceDirect and Springer from 2016 to 2026. In addition to quantitative analysis of ML, CNN, and transformer-based models, including accuracy, sensitivity, specificity, and AUC, a bibliometric examination was performed to study publication trends, research collaborations, and citation trends. The findings indicate a shift from conventional classifiers (SVM, Random Forest) to end-to-end CNN-based models and transposed models (e.g., Swin Transformer, EfficientNetV2, Vision Transformer). The contributions were mainly concentrated in India, China, and the USA, and there was an increasing demand for an interdisciplinary interface between engineering disciplines with biomedical sciences. While state-of-the-art algorithms achieve 94–95% accuracy, their generalizability is limited to 85–93% on a generalized test dataset, and issues such as data imbalance, lack of interpretability, and clinical validation remain. With many advanced AI systems across the board of innovation, explainable, resource-efficient, and multimodal platforms integrating fundus photographic data with patient-centered clinical information should set their sights on equitable DR screening.</p>\u0000 </div>","PeriodicalId":55473,"journal":{"name":"Archives of Computational Methods in Engineering","volume":"33 5","pages":"7693 - 7718"},"PeriodicalIF":12.9,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148389032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}