Review
Engineering, Multidisciplinary
Wei Jiang, Xin Ren, Shi Long Wang, Xue Gang Zhang, Xing Yu Zhang, Chen Luo, Yi Min Xie, Fabrizio Scarpa, Andrew Alderson, Ken E. Evans
Summary: Auxetic foams exhibit unique mechanical properties and multiphysics characteristics, making them potential candidates for applications in biomedicine, aerospace, and smart sensing. However, challenges such as complex fabrication and lacking stability hinder their practical applications, requiring further research and development to overcome these barriers.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Mahmoud Elsisi, Minh-Quang Tran, Karar Mahmoud, Diaa-Eldin A. Mansour, Matti Lehtonen, Mohamed M. F. Darwish
Summary: This paper introduces a method that integrates Internet of Things (IoT) architecture with deep learning for online monitoring of power transformer status and protection against cyberattacks. Experimental results confirm the effectiveness of the proposed method.
Review
Engineering, Multidisciplinary
Arman Malekloo, Ekin Ozer, Mohammad AlHamaydeh, Mark Girolami
Summary: Conventional damage detection techniques are being replaced by advanced smart monitoring and decision-making solutions in the age of smart cities, Internet of Things, and big data analytics. Machine learning algorithms are offering tools to enhance the capabilities of structural health monitoring systems and provide intelligent solutions for challenges of the past. The future of structural health monitoring systems lies in connecting critical information in infrastructures through the Internet of Things paradigm.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Chemistry, Multidisciplinary
Wenfeng Zheng, Yu Zhou, Shan Liu, Jiawei Tian, Bo Yang, Lirong Yin
Summary: This paper proposes a deep fusion matching network to enhance sentence representation reasoning technology. By optimizing the matching layer and incorporating the dependency convolution layer, the model achieves improved reasoning depth and interpretability. Experimental results demonstrate that the proposed model outperforms shallow reasoning models in terms of reasoning effectiveness.
APPLIED SCIENCES-BASEL
(2022)
Review
Chemistry, Multidisciplinary
Muhammad Shafiq, Zhaoquan Gu
Summary: This survey introduces the advantages of deep residual networks on ImageNet and their implications for future research. It also discusses the significant advancements and unresolved issues in the implementation of deep residual networks in practice.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Zhiwei Guo, Keping Yu, Yu Li, Gautam Srivastava, Jerry Chun-Wei Lin
Summary: With the increasing demand for personalized social services, researchers propose a deep learning-embedded social Internet of Things (IoT) solution to address the data management and preference ambiguity issues in social recommendation. Experimental results show that the proposed solution outperforms benchmark methods and exhibits good robustness.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Review
Computer Science, Interdisciplinary Applications
Asif Ali Laghari, Kaishan Wu, Rashid Ali Laghari, Mureed Ali, Abdullah Ayub Khan
Summary: The Internet of Things (IoT) is a system that connects computer devices, mechanical and digital machines, objects, or individuals to transmit data, with potential applications and development.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Junayed Pasha, Arriana L. Nwodu, Amir M. Fathollahi-Fard, Guangdong Tian, Zhiwu Li, Hui Wang, Maxim A. Dulebenets
Summary: This study examines the decisions of vehicle selection and supply chain optimization in factory-in-a-box manufacturing and presents a multi-objective optimization model and solution method. A case study shows that the developed method outperforms traditional optimization methods and other metaheuristics.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Multidisciplinary
Yirui Wu, Haifeng Guo, Chinmay Chakraborty, Mohammad R. Khosravi, Stefano Berretti, Shaohua Wan
Summary: This paper proposes an edge-computing driven framework for image enhancement and object detection in low-light conditions. By combining cloud computing and edge computing technologies, the framework achieves fast response and improved detection performance.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Review
Engineering, Multidisciplinary
Xue-Qin Li, Lu-Kai Song, Guang-Chen Bai
Summary: This paper reviews recent advances in reliability analysis of aeroengine rotor systems, highlighting the efficiency and accuracy advantages of surrogate model methods in complex engineering fields. The developed methods of surrogate model also have broad application prospects in the future due to common problems in various complex engineering fields such as multi-objective, multi-disciplinary, high-dimensionality, and time-varying issues.
INTERNATIONAL JOURNAL OF STRUCTURAL INTEGRITY
(2022)
Article
Engineering, Multidisciplinary
Ruiwen Shu, Xiaohui Li, Konghu Tian, Jianjun Shi
Summary: This study successfully fabricated iron-zinc bimetallic metal-organic frameworks/reduced graphene oxide composites with excellent microwave absorption performance by controlling the molar ratios of Fe3+ to Zn2+. The results also revealed the significant effects of molar ratios on the properties of the composites.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Dong H. Kang, Young-Jin Cha
Summary: In this paper, a novel semantic transformer representation network (STRNet) is developed for crack segmentation with fast processing speed and high performance. The network is trained and tested in complex scenes, achieving high precision, recall, F1 score, and mIoU. Comparing with other advanced networks, STRNet shows the best performance in evaluation metrics with the fastest processing speed.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Lipeng Wu, Kaiming Zhang, Jiaoyan Shi, Fan Wu, Xufei Zhu, Wei Dong, Aming Xie
Summary: In this study, a series of metal/nitrogen co-doped hollow carbon nanorods were successfully fabricated, with Co-NHCR showing remarkable electromagnetic wave absorption performance. This indicates its promising applications in lightweight and high-performance electromagnetic wave absorption.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Changqi Luo, Behrooz Keshtegar, Shun Peng Zhu, Osman Taylan, Xiao-Peng Niu
Summary: This research introduces a novel enhanced MCS approach called HEMCS, which utilizes machine learning methods to achieve accurate approximation of failure probability with high-efficiency computations. The method offers higher flexibility and accuracy for predicting failure probability in various engineering problems, including laminated composite plates and turbine bladed disks.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Hongfeng Tao, Long Cheng, Jier Qiu, Vladimir Stojanovic
Summary: With the rapid development of industrial informatization and deep learning technology, modern data-driven fault diagnosis methods based on deep learning have attracted attention from the industry. However, the scarcity of fault samples in actual industrial environments and cross-domain problems between different devices limit the development of these methods. This paper proposes a model unknown matching network model for fault diagnosis with few samples, which combines parameter optimization and feature metric to address these limitations and achieves promising results in experiments.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2022)
Article
Engineering, Multidisciplinary
Junling Wang, Haobo Zhou, Zhirong Wang, Wei Bai, Yanfang Cao, Yanan Wei
Summary: A hierarchical structure (MLBCN) based on LDH anchored boron-doped g-C3N4 assembled with MnO2 nanosheets was constructed as a flame retardant additive for epoxy resin. The incorporation of 1.0 wt% MLBCN led to significant decreases in heat release rate and smoke production, along with inhibited emissions of toxic gases. Additionally, MLBCN enhanced the mechanical performance of EP. Overall, using MLBCN achieved simultaneous enhancements in fire safety and mechanical capability of the polymer.
COMPOSITES PART B-ENGINEERING
(2022)
Review
Computer Science, Interdisciplinary Applications
Ahmed G. Gad
Summary: This paper conducts a systematic review on the methods and applications of hybrid PSO, improved PSO, and variants of PSO in different domains. The effectiveness of different PSO methods and applications is investigated through technical characteristics, evaluation environments, and proposed case studies. The strengths, weaknesses, and future research directions of each study are discussed.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2022)
Review
Engineering, Multidisciplinary
Mohamad Faiz Ahmad, Nor Ashidi Mat Isa, Wei Hong Lim, Koon Meng Ang
Summary: This study reviews the significant progress of the differential evolution (DE) algorithm in optimization and engineering applications. It analyzes the recent studies and modifications made to enhance the effectiveness and efficiency of DE. The survey also explores the impacts of different parameter settings on DE variants and evaluates the quality of the modifications. The additional analyses and surveys provide valuable insights for both beginners and experts in DE research.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Engineering, Multidisciplinary
Xu Xue, Han Liu, Sicheng Wang, Yan Hu, Biaotong Huang, Mengmeng Li, Jie Gao, Xiuhui Wang, Jiacan Su
Summary: This study presents a new type of nanoparticle for treating osteoarthritis, which achieves targeted delivery and anti-inflammatory treatment through cell membrane modification and photothermal responsive drug release. It exhibits significant therapeutic efficacy for osteoarthritis in vivo.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Automation & Control Systems
Zhenzhen Jin, Deqiang He, Zexian Wei
Summary: In this paper, a weak fault diagnosis method for train axle box bearings is proposed based on parameter optimization Variational Mode Decomposition (VMD) and improved Deep Belief Network (DBN). By optimizing algorithm parameters and extracting fault feature information, the diagnostic accuracy of the bearings can be improved.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
