Article
Materials Science, Textiles
Maher Alsayed, Halil Ibrahim Celik, Hatice Kubra Kaynak
Summary: The number of filaments in yarn cross-section, weave density, and weave type are important factors affecting the air permeability of multifilament woven fabrics. Microfilament yarns have a significant impact on air permeability due to low porosity between filaments. A fuzzy logic model has been developed for predicting air permeability of multifilament polyester woven fabrics with satisfactory and accurate results.
TEXTILE RESEARCH JOURNAL
(2021)
Article
Materials Science, Textiles
Derya Haroglu
Summary: Pile loop knit fabrics with unique porous three-dimensional structures have gained attention in biomedical applications. In this study, an Artificial Neural Network (ANN) model and a Fuzzy Logic (FL) model were developed to predict the air permeability of pile loop knit fabrics. Experimental results showed that the ANN model outperformed the Multiple Linear Regression (MLR) and FL models in predicting air permeability.
JOURNAL OF THE TEXTILE INSTITUTE
(2023)
Article
Chemistry, Multidisciplinary
Guorong Yang, Yang Jiang, Wanjun Ding, Wen Wan, Jian Hao
Summary: Ultrathin fluoroacrylic emulsion coating wrapped effective microporous non-woven air filtration membranes of 0.2 μm thickness were developed for PPE masks, achieving filtration efficiencies up to 99.9% for 0.3 μm NaCl aerosol particles and oily DEHS aerosols.
CHEMICAL COMMUNICATIONS
(2022)
Article
Materials Science, Textiles
Burcak Gungor Turkmen, Pinar Celik, Hikmet Sehit, Tuba Bedez Ute
Summary: In this study, the effects of different weft yarn types (two plied, two plied cotton/PVA, siro core spun, and ring core-spun weft yarn) and fabric structures (plain, twill, and sateen construction) on the air and water vapor permeability, vertical wicking height, and moisture management properties of the fabrics were analyzed in detail. The aim of the research was to achieve improved performance by producing hollow and microporous structures.
JOURNAL OF THE TEXTILE INSTITUTE
(2023)
Article
Materials Science, Textiles
Muhammad Umar Nazir, Khubab Shaker, Yasir Nawab, Syed Talha Ali Hamdani, Hafiz Muhammad Abdullah, Muhammad Umair
Summary: Cellulose, the most abundant substance in plants, is widely used in textile production due to its abundance, ease of processing, biodegradability, and compatibility with the human body. This study compared the thermo-physiological comfort properties of woven fabrics made from four different cellulosic yarns. The results showed that cotton fabric had higher air permeability and thermal resistance, while tencel fabric exhibited superior moisture management properties compared to other cellulosic fabrics.
JOURNAL OF NATURAL FIBERS
(2022)
Article
Materials Science, Textiles
Zhihong Sun, Li Yu, Yanjun Li, Nuo Xu, Bowen Qiu
Summary: The dynamic air permeability of different weaves is investigated numerically in this paper. The main parameters include Poisson's ratio, Young's modulus, and compression coefficient. Results show that Poisson's ratio of yarn is a significant factor of air permeability, while Young's modulus is a negligible factor. The effect of the compression coefficient on air permeability depends on weaving and porosity.
FIBERS AND POLYMERS
(2023)
Article
Engineering, Multidisciplinary
Philip Avery, Daniel Z. Huang, Wanli He, Johanna Ehlers, Armen Derkevorkian, Charbel Farhat
Summary: A general-purpose computational homogenization framework is proposed for the nonlinear dynamic analysis of membranes with complex periodic heterogeneity, using the finite element squared (FE2) method. Adapted from the Klinkel-Govindjee method, the framework relies on numerical enforcement of plane stress constraint and introduces a regression-based surrogate model for computational tractability and validation in realistic applications.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Biotechnology & Applied Microbiology
I Gutierrez-Alvarez, J. Aroba, J. E. Martin, J. A. Adame, J. P. Bolivar
Summary: This study applied a soft computing methodology, PreFuRGe, to analyze the relationship between atmospheric radon and other meteorological variables. The methodology utilized fuzzy clustering and generated a rule-based system to provide a qualitative model for describing radon behavior. By comparing the results with published studies using statistical techniques, the consistency of the fuzzy methodology was verified.
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Materials Science, Multidisciplinary
Fan Wang, En Xie, Xuehong Wang, Ping Sun, Yinjun Ji, Yunfei Niu, Dongliang Wang, Fengqian Li, Jie Wei
Summary: In this study, an artificial ligament with osteogenic activity was designed to promote ligament-bone integration for ACL reconstruction. The artificial ligament, composed of polyetheretherketone fibers with nanostructured silicon nitride coating and loaded with epigallocatechin gallate, demonstrated immunomodulatory effects that promoted osteoblastic differentiation and suppressed osteoclastic differentiation. The optimized surface characteristics and sustained release of Si ions and EGCG contributed to the improved pro-osteogenic macrophage polarization and provided a favorable anti-inflammatory immune environment. This novel artificial ligament has great potential for ACL reconstruction.
APPLIED MATERIALS TODAY
(2022)
Article
Materials Science, Textiles
Patricia Julie Abel, Roshan Unmar, Satyadev Rosunee
Summary: This study focuses on developing predictive models and exploring the potential of engineered comfort in textiles to add value. By analyzing fabric structural parameters, a computer program was developed to determine optimal fabric construction parameters for different thermo-physiological comfort parameters and thermal contact feelings.
JOURNAL OF THE TEXTILE INSTITUTE
(2022)
Article
Materials Science, Textiles
Muhammad Toqeer Riaz, Muhammad Imran Khan, Khubab Shaker, Yasir Nawab, Muhammad Umair
Summary: In this study, four different cellulosic yarns (cotton, bamboo, viscose, and tencel) and two weave designs (1/1 plain and 2/2 warp rib) were compared to determine their moisture management properties. Tencel fabrics showed the highest water vapor permeability index and overall moisture management capability values, while cotton fabrics had the highest values of volume porosity %, air permeability, and thermal resistance. The weave design also affected the results, with the 2/2 warp rib design showing higher values of volume porosity %, air permeability, and thermal resistance.
JOURNAL OF NATURAL FIBERS
(2023)
Article
Automation & Control Systems
Ihsan Erozan, Emre Ozel, Damlanur Erozan
Summary: For people who spend a long time indoors during the day, it is crucial to have ergonomically designed environments that provide comfort. This study proposes a two-stage system using type-2 fuzzy logic for the ergonomic control of indoor environments. Through measurements of temperature, humidity, and carbon dioxide levels, the proposed control structure was modeled using both type-1 and type-2 fuzzy logic systems. The results showed that the type-2 fuzzy logic system provided better interpretations for ergonomic control in extremely fuzzy environments.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Polymer Science
Ana Kalazic, Tea Badrov, Ivana Schwarz, Snjezana Brnada
Summary: This research focuses on the influential parameters in the thermal protective properties of layer interchanging double cloth, such as woven structure and yarn fineness. Factors affecting the protective properties and comfort of multilayered woven fabrics include fabric thickness, fabric porosity, and air permeability. By understanding and controlling fabric porosity, thermal protective clothing that combines improved comfort, cost-efficiency, and effectiveness can be developed. The use of Darcy's law in this study provides a novel approach to understand airflow permeability behavior in complex structures of elastic multilayer woven fabrics.
Article
Polymer Science
Tania Ferreira, Ana Catarina Vale, Alexandra C. Pinto, Rita V. Costa, Vania Pais, Diana Sousa, Fernanda Gomes, Graca Pinto, Jose Guilherme Dias, Ines P. Moreira, Carlos Mota, Joao Bessa, Joana C. Antunes, Mariana Henriques, Fernando Cunha, Raul Fangueiro
Summary: The development of advanced facemasks is a top priority for enhancing healthcare preparedness. This study characterized different polypropylene non-woven fabrics and used zinc oxide nanoparticles to functionalize the selected fabric for improved antimicrobial properties. The functionalized fabric showed promising results, with the ability to eradicate bacteria and inhibit virus growth. A three-layered facemask with antimicrobial capacity was developed and evaluated for filtration efficiency and breathability. These findings demonstrate the potential of these advanced facemasks for individual protection.
Article
Computer Science, Artificial Intelligence
Regis Pierrard, Jean-Philippe Poli, Celine Hudelot
Summary: This article proposes an approach for explainable classification and annotation of images in high-stake applications, based on a transparent model and interpretable fuzzy relations. By setting expert knowledge in advance and extracting relevant relations using a fuzzy frequent itemset mining algorithm, rules for classification and constraints for annotation are successfully built. Experimental results demonstrate the approach's ability to successfully perform the target task and generate consistent and convincing explanations.
ARTIFICIAL INTELLIGENCE
(2021)
Article
Physics, Multidisciplinary
Xiaolei Liu, Zhenhai Yu, Jianfu Li, Zhenzhen Xu, Chunyin Zhou, Zhaohui Dong, Lili Zhang, Xia Wang, Na Yu, Zhiqiang Zou, Xiaoli Wang, Yanfeng Guo
Summary: In this study, monoclinic alpha-MoP2 with OsGe2-type structure was synthesized under high pressure and temperature. The structural parameters were determined and compared with other transition metal diphosphides. The denser structure of orthorhombic beta-MoP2 was found, and it was confirmed that alpha-MoP2 is a stable phase at ambient conditions based on high-pressure x-ray diffraction studies, as well as energy and phonon calculations.
Article
Mathematics, Applied
Xianyi Zeng, Md Mahmudul Hasan
Summary: This article studies the stability of explicit finite difference discretization of advection-diffusion equations (ADE) with arbitrary order of accuracy in the context of method of lines. The analysis shows that stable semi-discretization of ADE leads to a conditionally stable fully discretized method, as long as the time integrator is at least first-order accurate. However, high-order spatial discretization of the advection equation cannot yield a stable method if the temporal order is too low. The article also extends the analysis and stability results to a partially dissipative wave system, and verifies the theoretical predictions through numerical examples.
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS
(2023)
Article
Computer Science, Software Engineering
Pengpeng Cheng, Jianping Wang, Xianyi Zeng, Pascal Bruniaux, Xuyuan Tao, Daoling Chen
Summary: This study designed a series of motions to investigate the comfort of tight-fitting sportswear in winter. By evaluating the wearing perception of the human body, the distribution of comfort perception under different sports conditions was explored. Intelligent prediction models were established using experimental data, and the prediction results were visualized to provide a more intuitive understanding of comfort distribution. The study found that different sports conditions and ages can significantly affect overall comfort perception.
Review
Environmental Sciences
Bismark Sarkodie, Jeremiah Amesimeku, Charles Frimpong, Ebenezer Kofi Howard, Quan Feng, Zhenzhen Xu
Summary: The textile industry is a major source of wastewater containing pollutants such as dyes and chemicals, which pose serious environmental risks when released into natural streams and bodies of water. To address these concerns, research has focused on low-cost technologies to produce absorbents for dye removal. Various techniques, including adsorption, enzymatic and photocatalytic degradation, have been used to remove dyes. Among them, photocatalysis using nanomaterials has emerged as a promising approach for wastewater treatment. Electrospinning methods have been used to create nanofibers with large surface areas, enabling efficient and reusable dye removal. This review discusses techniques for dye removal, electrospun nanofibers, their fabrication and application in photocatalysis, and identifies challenges and potential remedies for electrospun nanofibers in photocatalysis.
Article
Chemistry, Physical
Jin Zhang, Ze Mao, Zhiguo Sun, Di Wang, Anfang Wei, Zhenzhen Xu, Quan Feng, Qufu Wei
Summary: This article introduces an efficient method for preparing hierarchically porous substrate materials, using microemulsion electrospinning to fabricate structurally variable TiO2/SiO2/C nanofibers as the substrate materials of FSPCMs. The internal structure of the nanofibers can be tuned by varying the composition of the precursor solution. The manufactured FSPCMs were applied to temperature regulation textiles, effectively improving the temperature regulation performance.
COLLOIDS AND SURFACES A-PHYSICOCHEMICAL AND ENGINEERING ASPECTS
(2023)
Article
Computer Science, Artificial Intelligence
Hu Peng, Zhenzhen Xu, Jiayao Qian, Xiaogang Dong, Wei Li, Zhijian Wu
Summary: In constrained optimization evolutionary algorithms (COEAs), achieving a balance between the objective function and constraints is crucial. This study proposes a Hybrid Constraint-handling Technique (HCT) that utilizes the information of the population's evolution process to maintain this balance. The proposed ECO-HCT algorithm combines evolutionary algorithms with HCT to solve complex constraint optimization problems (COPs) and has shown competitive performance compared to other advanced methods.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Chemistry, Physical
Qiaole Hu, Yufang Duan, Xianhong Zheng, Wenqi Nie, Lihua Zou, Zhenzhen Xu
Summary: In this study, a recycled carbon fiber felt/ cationic polyacrylamide composite material was prepared by utilizing a waste carbon fiber recycling strategy and a paper-making method. The material exhibits excellent conductivity, high electromagnetic interference shielding effectiveness, and outstanding flexibility, while promoting the high-value recycling of waste carbon fiber resources.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Virology
Heather D. D. Curtsinger, Xianyi Zeng, Zaira Mather, Mary Ballyk, Tuan Anh Phan, Ben Niu, Jing Pu, Mee Y. Y. Bartee, Jianjun Paul Tian, Eric Bartee
Summary: Intracellular K+ homeostasis is crucial for viral replication, but the impact of altered extracellular K+ concentrations remains poorly understood. This study demonstrates that elevated levels of extracellular K+ can delay the replication cycle of the poxvirus MYXV by affecting the endocytic pathway and inhibiting virion release from the endosomes. Mathematical modeling indicates that these K+ concentrations can be reached during pathogenic infection. These findings suggest that altered extracellular K+ levels could directly affect viral pathogenesis.
JOURNAL OF VIROLOGY
(2023)
Article
Engineering, Multidisciplinary
Hong Zhu, Qinglin Sun, Jin Tao, Hao Sun, Zengqiang Chen, Xianyi Zeng, Damien Soulat
Summary: This study aims to establish a reliable and efficient design tool for parafoil optimization, using advanced numerical modeling methods. Two-way coupled fluid-structure interaction strategies were used to evaluate the aerodynamic performance and structural deformations of full-scale parafoil canopies. The prediction results were verified by flight test data, showing that the flexible model had higher prediction accuracy than the rigid model. This work brings simulation tools closer to practical application.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2023)
Article
Engineering, Marine
Yuemin Zheng, Jin Tao, Jouni Hartikainen, Feng Duan, Hao Sun, Mingwei Sun, Qinglin Sun, Xianyi Zeng, Zengqiang Chen, Guangming Xie
Summary: In this paper, a trajectory tracking control method for underactuated unmanned ships is proposed by using a three-degree-of-freedom ship model, trajectory tracking line-of-sight guidance law, and Deep Deterministic Policy Gradient algorithm. The method effectively addresses the coupling problem and uncertainty issues to ensure safe and stable navigation during offshore operations.
Article
Engineering, Chemical
Zhenzhen Xu, Shanshan Yu, Jinyu Wang, Fengtao Yu, Mei Xu, Jianbo Xiong, Saijin Xiao, Yan Liu, Yan He, Jie Xu, Zhibin Zhang, Jianding Qiu
Summary: In this study, a molecular engineering strategy was used to simultaneously achieve high degree of functionalization and large BET in conjugated microporous polymers (CMPs) as an effective uranium adsorbent. The PePy-SO3H adsorbent, which contains a pyrene-based monomer with extended pi-conjugation degree and high rigidity, exhibited strong affinity toward uranium with a distribution coefficient of 2.3 x 104 mL g-1 and an exceptionally high adsorption capacity of 579.0 mg g-1. This work demonstrates the advantages of molecular engineering strategies in optimizing the purification performance of CMPs adsorbents for uranium-containing wastewater.
SEPARATION AND PURIFICATION TECHNOLOGY
(2023)
Article
Polymer Science
Chaohui Zhang, Wei Li, Zhenzhen Xu
Summary: This study investigated the relationship between adhesion to fibers, surface tensions, film tensile properties and crystallinities, and moisture regains of sulfododecenylsuccinated starch (SDSS) samples with different degrees of substitution (DS). The results showed that SDSS exhibited better adhesion to cotton and polyester fibers and higher film elongation compared to dodecenylsuccinated starch (DSS) and acid-thinned starch (ATS), while it had lower film tensile strength and degree of crystallinity. The adhesion and film elongation of SDSS increased and then decreased with increasing DS, while the film strength consistently decreased. SDSS samples with a DS range of 0.024-0.030 were recommended considering adhesion and film properties.
Article
Biochemistry & Molecular Biology
Wenjie Ding, Yuanbin Zhu, Jinlei Han, Hui Zhang, Zhenzhen Xu, Haris Khurshid, Fang Liu, Robert Hasterok, Xinlian Shen, Kai Wang
Summary: Through chromatin immunoprecipitation, researchers identified that the centromeric sequences of Gossypium anomalum only contained retrotransposon-like repeats and lacked long arrays of satellites. These repeats were found in African-Asian and Australian lineage species, suggesting a common ancestor. Interestingly, copy number variations were observed among lineages, indicating that sequence content is not crucial for the adaptive evolution of centromeric repeats, at least for retrotransposon-like repeats.
CHROMOSOME RESEARCH
(2023)
Article
Polymer Science
Chaohui Zhang, Wei Li, Zhenzhen Xu
Summary: This study investigated the effects of P(ATC-co-AA) on the adhesion, film properties, and desizability of cornstarch. The results showed that P(ATC-co-AA) branches improved adhesion to cotton fibers and reduced starch film brittleness. The adhesion and desizability of S-g-P(ATC-co-AA) depended on the mole percentage of ATC units, with higher percentages benefiting adhesion but hindering desizability. S-g-P(ATC-co-AA) with a mole percentage of 57.7% exhibited good sizing properties and easy desizing.
Article
Chemistry, Multidisciplinary
Jianfu Li, Yanlei Geng, Zhenzhen Xu, Pinhua Zhang, Gaston Garbarino, Maosheng Miao, Qingyang Hu, Xiaoli Wang
Summary: External mechanical stress alters the nature of chemical bonds and triggers novel reactions. By compressing silver iodide, mechanical stress weakens the Ag-I ionic bonds and activates the global diffusion of super-ions. This unconventional mechanism of an unexpected decomposition reaction reveals the sophisticated chemistry of simple inorganic compounds under extreme conditions.
Article
Automation & Control Systems
Carmen Bisogni, Lucia Cimmino, Michele Nappi, Toni Pannese, Chiara Pero
Summary: This paper presents a gait-based emotion recognition method that does not rely on facial cues, achieving competitive performance on small and unbalanced datasets. The proposed approach utilizes advanced deep learning architecture and achieves high recognition and accuracy rates.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Soung Sub Lee
Summary: This study proposed a satellite constellation method that utilizes machine learning and customized repeating ground track orbits to optimize satellite revisit performance for each target.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Jian Wang, Xiuying Zhan, Yuping Yan, Guosheng Zhao
Summary: This paper proposes a method of user recruitment and adaptation degree improvement via community collaboration to solve the task allocation problem in sparse mobile crowdsensing. By matching social relationships and perception task characteristics, the entire perceptual map can be accurately inferred.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Yuhang Gai, Bing Wang, Jiwen Zhang, Dan Wu, Ken Chen
Summary: This paper investigates how to reconfigure existing compliance controllers for new assembly objects with different geometric features. By using the proposed Equivalent Theory of Compliance Law (ETCL) and Weighted Dimensional Policy Distillation (WDPD) method, the learning cost can be reduced and better control performance can be achieved.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Zhihao Xu, Zhiqiang Lv, Benjia Chu, Zhaoyu Sheng, Jianbo Li
Summary: Predicting future urban health status is crucial for identifying urban diseases and planning cities. By applying an improved meta-analysis approach and considering the complexity of cities as systems, this study selects eight urban factors and explores suitable prediction methods for these factors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Yulong Ye, Qiuzhen Lin, Ka-Chun Wong, Jianqiang Li, Zhong Ming, Carlos A. Coello Coello
Summary: This paper proposes a localized decomposition evolutionary algorithm (LDEA) to tackle imbalanced multi-objective optimization problems (MOPs). LDEA assigns a local region for each subproblem using a localized decomposition method and restricts the solution update within the region to maintain diversity. It also speeds up convergence by evolving only the best-associated solution in each subproblem while balancing the population's diversity.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Longxin Zhang, Jingsheng Chen, Jianguo Chen, Zhicheng Wen, Xusheng Zhou
Summary: This study proposes a lightweight PCB image defect detection network (LDD-Net) that achieves high accuracy by designing a novel lightweight feature extraction network, multi-scale aggregation network, and lightweight decoupling head. Experimental results show that LDD-Net outperforms state-of-the-art models in terms of accuracy, computation, and detection speed, making it suitable for edge systems or resource-constrained embedded devices.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Kemal Ucak, Gulay Oke Gunel
Summary: This paper introduces a novel adaptive stable backstepping controller based on support vector regression for nonlinear dynamical systems. The controller utilizes SVR to identify the dynamics of the nonlinear system and integrates stable BSC behavior. The experimental results demonstrate successful control performance for both nonlinear systems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Dexuan Zou, Mengdi Li, Haibin Ouyang
Summary: In this study, a photovoltaic thermal collector is integrated into a combined cooling, heating, and power system to reduce primary energy consumption, operation cost, and carbon dioxide emission. By applying a novel genetic algorithm and constraint handling approach, it is found that the CCHP scenarios with PV/T are more efficient and achieve the lowest energy consumption.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Abhinav Pandey, Litton Bhandari, Vidit Gaur
Summary: This research proposes a novel model-agnostic framework based on genetic algorithms to identify and optimize the set of coefficients of the constitutive equations of engineering materials. The framework demonstrates solution convergence, scalability, and high explainability for a wide range of engineering materials. The experimental validation shows that the proposed framework outperforms commercially available software in terms of optimization efficiency.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Zahra Ramezanpoor, Adel Ghazikhani, Ghasem Sadeghi Bajestani
Summary: Time series analysis is a method used to analyze phenomena with temporal measurements. Visibility graphs are a technique for representing and analyzing time series, particularly when dealing with rotations in the polar plane. This research proposes a visibility graph algorithm that efficiently handles biological time series with rotation in the polar plane. Experimental results demonstrate the effectiveness of the proposed algorithm in both synthetic and real world time series.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
ChunLi Li, Qintai Hu, Shuping Zhao, Jigang Wu, Jianbin Xiong
Summary: Efficient and accurate diagnosis of rotating machinery in the petrochemical industry is crucial. However, the nonlinear and non-stationary vibration signals generated in harsh environments pose challenges in distinguishing fault signals from normal ones. This paper proposes a BP-Incremental Broad Learning System (BP-INBLS) model to address these challenges. The effectiveness of the proposed method in fault diagnosis is demonstrated through validation and comparative analysis with a published method.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Fatemeh Chahkoutahi, Mehdi Khashei
Summary: The classification rate is the most important factor in selecting an appropriate classification approach. In this paper, the influence of different cost/loss functions on the classification rate of different classifiers is compared, and empirical results show that cost/loss functions significantly affect the classification rate.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Article
Automation & Control Systems
Jicong Duan, Xibei Yang, Shang Gao, Hualong Yu
Summary: The study proposes a novel partition-based imbalanced multi-label learning algorithm, MLHC, which divides the original label space into disconnected subspaces using hierarchical clustering. It successfully tackles the class imbalance problem in multi-label data and outperforms other class imbalance multi-label learning algorithms.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)
Review
Automation & Control Systems
Qing Qin, Yuanyuan Chen
Summary: This paper offers a comprehensive review of retinal vessel automatic segmentation research, including both traditional methods and deep learning methods. In particular, supervised learning methods are summarized and analyzed based on CNN, GAN, and UNet. The advantages and disadvantages of existing segmentation methods are also outlined.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2024)