Article
Engineering, Multidisciplinary
Jeffrey O. Agushaka, Absalom E. Ezugwu, Laith Abualigah
Summary: This paper proposes a new metaheuristic algorithm, dwarf mongoose optimization algorithm (DMO), which mimics the foraging behavior of dwarf mongooses. The algorithm is tested on various benchmark functions and optimization problems, and compared with other algorithms. The results show that DMO performs better in most cases and achieves near-optimal solutions. Matlab codes of DMO are also provided.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Weiguo Zhao, Liying Wang, Seyedali Mirjalili
Summary: The artificial hummingbird algorithm (AHA) proposed in this work mimics the flight skills and foraging strategies of hummingbirds in nature, demonstrating superior competitiveness and effectiveness compared to other meta-heuristic algorithms.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Review
Automation & Control Systems
Tianci Zhang, Jinglong Chen, Fudong Li, Kaiyu Zhang, Haixin Lv, Shuilong He, Enyong Xu
Summary: Research on intelligent fault diagnosis using artificial intelligence technologies has achieved significant progress, particularly in the field of S&I-IFD. Existing strategies include data augmentation, feature learning, and classifier design. Future research directions involve meta-learning and zero-shot learning.
Review
Automation & Control Systems
M. A. Ganaie, Minghui Hu, A. K. Malik, M. Tanveer, P. N. Suganthan
Summary: This paper provides a comprehensive review of state-of-art deep ensemble models, their applications in different domains, and potential research directions.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Review
Engineering, Multidisciplinary
Yi-Ming Wei, Kaiyuan Chen, Jia-Ning Kang, Weiming Chen, Xiaoye Zhang, Xiang-Yu Wang
Summary: This study comprehensively collates and investigates 1105 published research studies on carbon peaking and carbon neutrality, and summarizes the priorities and standpoints of key industries. The study also identifies the scientific concerns and strategic demands for achieving these two goals, providing theoretical insights and practical measures for China's carbon-neutral future. This research is crucial for policy formulation related to carbon peaking and carbon neutrality.
Article
Automation & Control Systems
Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide O. Oyelade, Laith Abualigah, Jeffery O. Agushaka, Christopher I. Eke, Andronicus A. Akinyelu
Summary: Clustering is an essential tool in data mining, and there is a need for improved, flexible, and efficient clustering techniques. This study presents a comprehensive review of traditional and state-of-the-art clustering techniques, demonstrating the importance of clustering in various disciplines and fields such as big data, artificial intelligence, and robotics.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Multidisciplinary
Honghao Gao, Binyang Qiu, Ramon J. Duran Barroso, Walayat Hussain, Yueshen Xu, Xinheng Wang
Summary: With the development of the Internet of Things (IoT), it has become crucial to detect anomalies for ensuring hardware and software security. This paper proposes a memory-augmented autoencoder approach for detecting anomalies in IoT data and verifies its effectiveness through experiments.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
D. Baleanu, M. Hassan Abadi, A. Jajarmi, K. Zarghami Vahid, J. J. Nieto
Summary: A generalized fractional model is introduced to study the COVID-19 pandemic, incorporating real clinical observations for parameter estimation and simulation. The model shows better fitting to real data and provides key parameters to assess societal health conditions.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Wei Li, Xiang Zhong, Haidong Shao, Baoping Cai, Xingkai Yang
Summary: This study proposes a modified auxiliary classifier GAN (MACGAN) model to address the issue of insufficient samples in fault diagnosis. By improving the ACGAN framework and introducing techniques such as Wasserstein distance and spectral normalization, the proposed method can generate high-quality multi-mode fault samples more effectively, improving the accuracy and stability of fault diagnosis models.
ADVANCED ENGINEERING INFORMATICS
(2022)
Article
Engineering, Multidisciplinary
Siqi Huo, Ting Sai, Shiya Ran, Zhenghong Guo, Zhengping Fang, Pingan Song, Hao Wang
Summary: This study presents an effective method to create transparent epoxy thermosets with outstanding mechanical, dielectric, and fire-retardant properties by incorporating a P/N/B-containing hyperbranched oligomer. The addition of the hyperbranched additive improves the glass-transition temperature, optical transmittance, mechanical strength, and toughness of the epoxy resin, while reducing the dielectric constant, loss, heat release, and smoke generation during combustion. These findings have significant implications for the development of high-performance flame-retardant epoxy resins.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Hoda Zamani, Mohammad H. Nadimi-Shahraki, Amir H. Gandomi
Summary: This paper presents a novel bio-inspired algorithm called SMO, which mimics the behaviors of starlings during their stunning murmuration, to solve complex engineering optimization problems. The SMO introduces dynamic multi-flock construction and three new search strategies, achieving competitive results in solution quality and convergence rate compared to other state-of-the-art algorithms.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Liang Tan, Keping Yu, Na Shi, Caixia Yang, Wei Wei, Huimin Lu
Summary: This paper proposes a blockchain-empowered security and privacy protection scheme for COVID-19 medical records, using ciphertext policy attribute-based encryption and uniform identity authentication to ensure security and privacy. With this scheme, medical institutions and users can safely and effectively manage and share COVID-19 electronic medical records.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Xiangbing Zhou, Hongjiang Ma, Jianggang Gu, Huiling Chen, Wu Deng
Summary: This paper proposes a parameter adaptation-based ant colony optimization (ACO) algorithm called PF3SACO, which combines particle swarm optimization (PSO), fuzzy system, and 3-Opt algorithm to improve the optimization ability and convergence, and avoid falling into local optima. The PF3SACO utilizes dynamic parameter adjustment and adaptive search to achieve better optimization performance, and applies 3-Opt algorithm to optimize the generated path.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Thermodynamics
Dengyu Chen, Kehui Cen, Xiaozhuang Zhuang, Ziyu Gan, Jianbin Zhou, Yimeng Zhang, Hong Zhang
Summary: This study investigated the pyrolysis behavior and product of the three major components of biomass. The results showed that their characteristics and thermal stability were related to their unique chemical structures. Different volatiles were generated during pyrolysis, and the thermal decomposition pathways of cellulose, hemicellulose, and lignin were proposed.
COMBUSTION AND FLAME
(2022)
Article
Engineering, Multidisciplinary
M. H. Jalaei, H-T Thai, O. Civalek
Summary: This research focuses on the transient response of porosity-dependent viscoelastic functionally graded nanobeams subjected to dynamic loads and magnetic field. Nonlocal strain gradient theory and quasi 3D beam theory with Kelvin-Voigt visco constitutive model are employed. Parametric investigations show that the magnetic field and length scale parameter have significant effects on the amplitude, number of cycles, and damping speed of the system.
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCE
(2022)
Article
Engineering, Multidisciplinary
Qin Zhang, Keping Yu, Zhiwei Guo, Sahil Garg, Joel J. P. C. Rodrigues, Mohammad Mehedi Hassan, Mohsen Guizani
Summary: This work proposes a graph neural network-driven traffic forecasting model for the connected Internet of vehicles (CIoVs), named Gra-TF. By utilizing ensemble learning and three typical graph-level prediction methods, an integrated and enhanced forecasting model is constructed to minimize uncertainty in CIoVs. Numerical results show that Gra-TF improves prediction accuracy by 30% to 40% compared to baseline methods.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Wenfeng Zheng, Xia Tian, Bo Yang, Shan Liu, Yueming Ding, Jiawei Tian, Lirong Yin
Summary: This paper introduces the concept of few-shot learning and how deep learning methods use meta-learning for few-shot learning. By designing a multi-scale relational network (MSRN), the performance of image classification in small sample scenarios can be improved, and the issue of overfitting can be alleviated.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Multidisciplinary
Usama Awan, Robert Sroufe
Summary: The integration of sustainability and circular economy provides a long-term vision for achieving environmental and social sustainability goals. However, developing sustainable impacts in circular economy business models faces many challenges, and there is limited knowledge about how material reuse firms transition towards circular business models.
APPLIED SCIENCES-BASEL
(2022)
Review
Engineering, Multidisciplinary
Hao Zheng, Wenjian Zhang, Bowen Li, Junjie Zhu, Chaohang Wang, Guojun Song, Guangshun Wu, Xiaoping Yang, Yudong Huang, Lichun Ma
Summary: This review summarizes the recent progress in surface modification methods of CF and their reinforcement effects on composites. By improving the interfacial adhesion between the fiber and matrix to enhance their mechanical properties, the application potential of CFRP in various fields can be further expanded.
COMPOSITES PART B-ENGINEERING
(2022)
Article
Automation & Control Systems
Liying Wang, Qingjiao Cao, Zhenxing Zhang, Seyedali Mirjalili, Weiguo Zhao
Summary: This paper proposes a new bio-inspired meta-heuristic algorithm called artificial rabbits optimization (ARO), which is inspired by the survival strategies of rabbits in nature. ARO algorithm is developed by mathematically modeling these survival strategies to create a new optimizer. The effectiveness of ARO is tested and compared with other optimizers, showing superior performance in solving benchmark functions and engineering problems. Moreover, ARO is applied to the fault diagnosis of a rolling bearing, demonstrating its practicality in solving real-world problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
