Highly efficient water desalination via electrospun ethyl cellulose/polystyrene composites integrated with metal-organic frameworks by Effat Karimian, Mohsen Moslehi, Shahram Tangestaninejad, Majid Moghadam, Akbar Malekpour, Iraj Mohammadpoor-Baltork

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Structural design parameters of laminated composites for marine applications: Milestone study and extended review on current technology and engineering by Daffa Putra Islami, Aldi Fahli Muzaqih, Ristiyanto Adiputra, Aditya Rio Prabowo, Nurman Firdaus, Sören Ehlers, Moritz Braun, Martin Jurkovič, Dharu Feby Smaradhana, Hermes Carvalho

“…The reviews cover the composite applications in the marine industry, novel marine characteristics for composite material, layering mechanism, material characterization, and damage mechanisms in composites due to various loading conditions in four different categories (delamination, matrix cracking, fiber breakage, and complete perforation), parametric joint method (vacuum and adhesive), and the failure criteria (debonding and interfacial delamination). …”
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A Hybrid Deep Transfer Learning Framework for Delamination Identification in Composite Laminates by Muhammad Haris Yazdani, Muhammad Muzammil Azad, Salman Khalid, Heung Soo Kim

“…Compared to the existing transfer learning approaches, the suggested method achieved better performance, hence improving both the accuracy and robustness of delamination detection in composite structures.…”
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Free vibration analysis of joined composite conical-cylindrical-conical shells containing fluid by Vu Quoc Hien, Tran Ich Thinh, Nguyen Manh Cuong

“…This paper emphasizes advantages of CE model, the effects of the fluid filling and shell geometries on the natural frequencies of joined composite conical-cylindrical-conical shells containing fluid. …”
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Complete Mode Spectrum Decomposition of Complex‐Structured Light by Computer‐Generated Holography by Yunfei Ma, Zilong Zhang, Yuqi Wang, Hongzhi Yang, Wei He, Lingyu Kong, Suyi Zhao, Xiaotian Li, Yetong Hu, Changming Zhao

“…Analyzing or probing a complex‐structured light field with a simple model to obtain its mode composition sequence and phase delays among eigenmodes is challenging. …”
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Calculation Principle and Test Method of Main Insulation Dielectric Constant of Stator Bar by CHEN Liying, LAN Wenbao

“…Based on the calculation theory of composite dielectric constant, a simplified model of main insulation of generator stator bar is established, and the calculation method of main insulation dielectric constant is given. …”
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Gearbox Fault Diagnosis Based on the LMD Cloud Model and PSO-KELM by Zhao Xiaohui, Tan Qi, Hu Sheng, Yang Wenbin, Huan Kaixuan, Zhang Zhijie

“…To address this problem, a gearbox fault diagnosis method based on local mean decomposition (LMD) cloud model feature extraction combined with particle swarm optimization (PSO) kernel extreme learning machine (KELM) is proposed. …”
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A Generalized Benders Decomposition for Mixed-Integer Nonlinear Programming: Theory and Applications by Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska

“…This paper comprehensively explains how to solve mixed-integer nonlinear programming (MINLP) models using the generalized benders decomposition (GBD) method. …”
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A Model Transformation Method Based on Simulink/Stateflow for Validation of UML Statechart Diagrams by Runfang Wu, Ye Du, Meihong Li

“…A model transformation method based on state refinement and semantic mapping is proposed to address the challenges of high modeling complexity and resource consumption in symbolic validation of industrial software requirements. …”
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Prediction of polar motion and UT1-UTC based on the hybrid EEMD_LSTM model by Chenxiang Wang, Pengfei Zhang, Wenbin Shen, Jiayao Wang

“…In this paper, we propose a model that combines Ensemble Empirical Mode Decomposition (EEMD) with Long Short-Term Memory (LSTM), denoted as EEMD_LSTM. …”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…[Conclusions] Through the improved ICEEMDAN decomposition and TCN-DLinear combined model， this study effectively solves the shortcomings of traditional methods in multistep prediction and significantly improves the accuracy and reliability of photovoltaic power prediction. …”
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Reduced order modeling of blood perfusion in parametric multipatch liver lobules by Ahsan Ali Siddiqui, Etienne Jessen, Stein K. F. Stoter, David Néron, Dominik Schillinger

“…We then construct a reduced order model via proper orthogonal decomposition (POD). …”
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Modeling and analysis of micro processes by Xu Bin, Zhou Yang, He Shufen, Hong Canmei, Zhou Zhixun

“…Experimental results show that the proposed method can model microprocesses and detect the deadlocks caused by synchronous or asynchronous interaction errors of the composite micro processes.…”
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Multi-Level Decomposition and Interpretability-Enhanced Air Conditioning Load Forecasting Study by Xinting Yang, Ling Zhang, Hong Zhao, Wenhua Zhang, Chuan Long, Gang Wu, Junhao Zhao, Xiaodong Shen

“…Results show that the proposed method significantly outperforms the LSTM model without decomposition and other benchmark models in prediction accuracy, with the Root Mean Square Error (RMSE) reductions ranging from 40.26% to 74.18% and the Modified Mean Absolute Percentage Error (MMAPE) reductions from 37.75% to 73.41%. …”
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Multidisciplinary Design Optimization of the NASA Metallic and Composite Common Research Model Wingbox: Addressing Static Strength, Stiffness, Aeroelastic, and Manufacturing Constr... by Odeh Dababneh, Timoleon Kipouros, James F. Whidborne

“…This study explores the multidisciplinary design optimization (MDO) of the NASA Common Research Model (CRM) wingbox, utilizing both metallic and composite materials while addressing various constraints, including static strength, stiffness, aeroelasticity, and manufacturing considerations. …”
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Coupled estimation of internal tides and turbulent motions via statistical modal decomposition by I. Maingonnat, G. Tissot, N. Lahaye

“…The method is presented and tested in an idealised framework based on the rotating-shallow-water model, where we provide a physical interpretation for the decomposition method based on theoretical considerations. …”
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Epileptic Seizure Detection in Neonatal EEG Using a Multi-Band Graph Neural Network Model by Lihan Tang, Menglian Zhao

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Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification by Tianlang Lan, Chengfei Jiang, Xiaofan Luo, Wentao An

“…However, traditional methods, such as Freeman–Durden (FD) and H/A/α decomposition, struggle to accurately characterize complex scattering mechanisms, limiting their ability to differentiate between various sea ice types. …”
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A Novel Methodology for the Automatic Decomposition of HAWT Wakes With K‐Means Clustering by Lorenzo Tieghi, Davide Cerbarano, Filippo De Girolamo, Valerio Francesco Barnabei, Giovanni Delibra

“…The relevance of these quantities in the clustering results is discussed and then the robustness of the method is assessed against temporal propagation of the model to 108 time steps, corresponding to three rotor revolutions. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…Traditional low-rank decomposition methods aim to recover low-rank components and isolate sparse elements, but the structural integrity of the sparse components is often compromised. …”
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