Tuning interfacial properties of C-A-S-H gels through Al/Si ratio control: Multiscale simulation insights by Wenhao Xia, Yihan Wang, Pan Wang, Yue Zhang, Dongshuai Hou, Muhan Wang, Xiangming Zhou

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Integration of partially observed multimodal and multiscale neural signals for estimating a neural circuit using dynamic causal modeling. by Jiyoung Kang, Hae-Jeong Park

“…This iterative integration of local and global parameters presents a reliable approach to inferring extensive, complex neural circuits from partially observed, multimodal, and multiscale data, showcasing how information from different scales reciprocally enhances entire circuit parameter estimation.…”
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Multiscale Collaborative Optimization of Processing Parameters for Carbon Fiber/Epoxy Laminates Fabricated by High-Speed Automated Fiber Placement by Zhenyu Han, Shouzheng Sun, Zhongxi Shao, Hongya Fu

“…Following that, an antisequential hierarchical multiscale collaborative optimization method is presented to resolve multiscale effect of structure and mechanical properties for laying tows or cracks in high-speed automated fiber placement process. …”
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A Lightweight Rolling Bearing Fault Diagnosis Method Based on Multiscale Depth-Wise Separable Convolutions and Network Pruning by Qingming Hu, Xinjie Fu, Dandan Sun, Donghui Xu, Yanqi Guan

“…In this paper, we introduce a multiscale Depth-wise Separable Convolutions and network pruning (MS-DWSC-PN) approach for lightweight rolling bearing fault diagnosis. …”
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Computer aided greenness by design approach for resolving and quantifying Triamterene and Hydrochlorothiazide in pharmaceutical mixtures employing multiscale dynamics simulations by Ahmed Elsonbaty, Khaled Attala, Eman Darweish

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Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images by Yahia Said, Oumaima Saidani, Ali Delham Algarni, Mohammad H. Algarni, Ayman Flah

“…Traditional models often face limitations in real-time processing and deployment on resource-constrained devices due to their high computational requirements. This paper presents a lightweight neural network designed to address these challenges by integrating dense dilated convolutions with pyramid depthwise convolutions for multiscale feature extraction. …”
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PNTM-CNN: an approach for saddle-point extraction integrating positive–negative terrain method and multiscale fusion CNN model by Zhe Zhou, Hao Wu, Zhenyu Zhang, Bo Kong, Min Yang, Tinghua Ai, Huafei Yu

“…To address this challenge, this study presents a novel model that combines the PNTM with a convolutional neural network (CNN) called PNTM-CNN. …”
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Climate Changes and Associated Multiscale Impacts on Watershed Discharge over the Upper Reach of Yarlung Zangbo River Basin, China by Jinping Liu, Wanchang Zhang

“…The ensemble empirical mode decomposition (EEMD) method was employed in this study to investigate the nonlinear climate change trends (averaged and extreme states) and the associated multiscale impacts on WD variations over the upper reach of the YZRB during 1961–2009. …”
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Advanced stabilization of clayey sand using xanthan gum: insights from multiscale evaluation and ultrasonic pulse velocity analysis by Fatemeh Abbasi, Asskar Janalizadeh Choobbasti, Kaveh Roushan

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A multiscale physiologically based pharmacokinetic model to support mRNA-encoded BiTE therapy in cancer treatment by Giada Fiandaca, Elio Campanile, Lorena Leonardelli, Elisa Pettinà, Stefano Giampiccolo, Elizabeth J. Carstens, Lorenzo Dasti, Natascia Zangani, Luca Marchetti

“…To address these issues, we present a novel physiologically based pharmacokinetic (PBPK) model to characterize the pharmacokinetics of BiTEs. …”
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Harnessing machine learning for high-throughput screening of high thermal conductivity polyimides: A multiscale feature engineering approach by Jiale Han, Chunhua Ying, Yue Cao, Wen Li, Yuan Feng, Masood Mortazavi, Pingfan Wu, Liang Peng, Jiechen Wang

“…To further explore and broaden their application in electronic packaging and thermal management, developing polyimide with high thermal conductivity remains a significant challenge. In this study, we present a machine learning technique with novel multiscale feature engineering approach to predict and identify high thermal conductivity polyimide efficiently. …”
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Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection by Omneya Attallah

“…The automated and precise classification of lung and colon cancer from histopathological photos continues to pose a significant challenge in medical diagnosis, as current computer-aided diagnosis (CAD) systems are frequently constrained by their dependence on singular deep learning architectures, elevated computational complexity, and their ineffectiveness in utilising multiscale features. To this end, the present research introduces a CAD system that integrates several lightweight convolutional neural networks (CNNs) with dual-layer feature extraction and feature selection to overcome the aforementioned constraints. …”
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Integrating intracellular dynamics using CompuCell3D and Bionetsolver: applications to multiscale modelling of cancer cell growth and invasion. by Vivi Andasari, Ryan T Roper, Maciej H Swat, Mark A J Chaplain

“…In this paper we present a multiscale, individual-based simulation environment that integrates CompuCell3D for lattice-based modelling on the cellular level and Bionetsolver for intracellular modelling. …”
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RETRACTED: Review of Multiscale Modeling and Simulation Techniques in Metal Forming, Bending, Welding, and Casting Processes for Enhanced Predictive Design and Analysis by K Gopal, Bhavana G, Kaushik Abhishek, Al-Jawahry Hassan M., Gupta Lovi Raj, Pahwa Shilpa, Bandhu Din

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A Multiscale Finite Element Model Validation Method of Composite Cable-Stayed Bridge Based on Structural Health Monitoring System by Rumian Zhong, Zhouhong Zong, Qiqi Liu, Haifei Zhou

“…A two-step response surface method for multiscale finite element model (FEM) updating and validation is presented with respect to Guanhe Bridge, a composite cable-stayed bridge in the National Highway number G15, in China. …”
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Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers by Kunpeng Cui, Jianbo Huang, Guowei Dai, Jingchao Fan, Christine Dewi

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Dynamic impact mechanical damage analysis and tomato robotic post-picking crating optimization based on multiscale finite element model by Guohang Lu, Zinuo Wang, Nianzu Dai, Jin Yuan, Xuemei Liu, Georgios Papadakis

“…This study focuses on the dynamic mechanical damage analysis and optimization of a double-buffered post-picking crating process based on multiscale finite element model of tomatoes. First, by comparing the Burgers model and Multiscale Finite Element (MSFE) model, a framework for evaluating and optimizing tomato mechanical damage is presented. …”
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Destripe Any Scale: Effective Stripe Removal Via Multiscale Decomposition Using the Luojia3-02 Stripe-Noise Dataset by Ru Chen, Mi Wang, Yingdong Pi, Ru Wang, Tao Peng, Fan Yang, Rongfan Dai

“…To overcome these challenges, we present Destripe Any Scale, a novel hybrid destriping framework that integrates multiscale decomposition with deep-learning techniques. …”
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Physical and Mechanical Characterization of Flax Fibers: From Elementary Fiber to Yarn by Wafa Mahjoub, Omar Harzallah

“…This study presents a multiscale characterization of flax fibers, from elementary fibers to technical bundles and yarns, to elucidate how fiber scale attributes influence yarn mechanics. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…A novel multiscale enhanced convolution module has been introduced to improve the model’s feature extraction capabilities for small-sized targets. …”
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