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  • Open Access

    REVIEW

    Dynamic SLAM Visual Odometry Based on Instance Segmentation: A Comprehensive Review

    Jiansheng Peng1,2,*, Qing Yang1, Dunhua Chen1, Chengjun Yang2, Yong Xu2, Yong Qin2

    CMC-Computers, Materials & Continua, Vol., , DOI:10.32604/cmc.2023.041900

    Abstract Dynamic Simultaneous Localization and Mapping (SLAM) in visual scenes is currently a major research area in fields such as robot navigation and autonomous driving. However, in the face of complex real-world environments, current dynamic SLAM systems struggle to achieve precise localization and map construction. With the advancement of deep learning, there has been increasing interest in the development of deep learning-based dynamic SLAM visual odometry in recent years, and more researchers are turning to deep learning techniques to address the challenges of dynamic SLAM. Compared to dynamic SLAM systems based on deep learning methods such as object detection and semantic… More >

  • Open Access

    ARTICLE

    Placenta-derived mesenchymal stem cells attenuate secondary brain injury after controlled cortical impact in rats by inhibiting matrix metalloproteinases

    PING YANG1,2,3, YUANXIANG LAN1,2, ZHONG ZENG1,2, YAN WANG1,2, HECHUN XIA1,2,*

    BIOCELL, Vol., , DOI:10.32604/biocell.2023.042367

    Abstract Background: As a form of biological therapy, placenta-derived mesenchymal stem cells (PDMSCs) exhibit considerable promise in addressing the complex pathological processes of traumaticbrain injury (TBI) due to their multi-target and multi-pathway mode of action. Material & Methods: This study investigates the protective mechanisms and benefits of PDMSCs in mitigating the effects of controlled cortical impact (CCI) in rats and glutamate-induced oxidative stress injury in HT22 cells in vitro. Our primary objective is to provide evidence supporting the clinical application of PDMSCs. Results: In the in vivo arm of our investigation, we observed a swift elevation of matrix metalloproteinase-9 (MMP-9) in… More >

  • Open Access

    ARTICLE

    PAL-BERT: An Improved Question Answering Model

    Wenfeng Zheng1, Siyu Lu1, Zhuohang Cai1, Ruiyang Wang1, Lei Wang2, Lirong Yin2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.046692

    Abstract In the field of natural language processing (NLP), there have been various pre-training language models in recent years, with question answering systems gaining significant attention. However, as algorithms, data, and computing power advance, the issue of increasingly larger models and a growing number of parameters has surfaced. Consequently, model training has become more costly and less efficient. To enhance the efficiency and accuracy of the training process while reducing the model volume, this paper proposes a first-order pruning model PAL-BERT based on the ALBERT model according to the characteristics of question-answering (QA) system and language model. Firstly, a first-order network… More >

  • Open Access

    ARTICLE

    Evaluating the Efficacy of Latent Variables in Mitigating Data Poisoning Attacks in the Context of Bayesian Networks: An Empirical Study

    Shahad Alzahrani1, Hatim Alsuwat2, Emad Alsuwat3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.044718

    Abstract Bayesian networks are a powerful class of graphical decision models used to represent causal relationships among variables. However, the reliability and integrity of learned Bayesian network models are highly dependent on the quality of incoming data streams. One of the primary challenges with Bayesian networks is their vulnerability to adversarial data poisoning attacks, wherein malicious data is injected into the training dataset to negatively influence the Bayesian network models and impair their performance. In this research paper, we propose an efficient framework for detecting data poisoning attacks against Bayesian network structure learning algorithms. Our framework utilizes latent variables to quantify… More >

  • Open Access

    ARTICLE

    Complex Decision Modeling Framework with Fairly Operators and Quaternion Numbers under Intuitionistic Fuzzy Rough Context

    Nadeem Salamat1, Muhammad Kamran1,2,*, Shahzaib Ashraf1, Manal Elzain Mohammed Abdulla3, Rashad Ismail3, Mohammed M. Al-Shamiri3

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.044697

    Abstract The main goal of informal computing is to overcome the limitations of hypersensitivity to defects and uncertainty while maintaining a balance between high accuracy, accessibility, and cost-effectiveness. This paper investigates the potential applications of intuitionistic fuzzy sets (IFS) with rough sets in the context of sparse data. When it comes to capture uncertain information emanating from both upper and lower approximations, these intuitionistic fuzzy rough numbers (IFRNs) are superior to intuitionistic fuzzy sets and pythagorean fuzzy sets, respectively. We use rough sets in conjunction with IFSs to develop several fairly aggregation operators and analyze their underlying properties. We present numerous… More > Graphic Abstract

    Complex Decision Modeling Framework with Fairly Operators and Quaternion Numbers under Intuitionistic Fuzzy Rough Context

  • Open Access

    ARTICLE

    An Intelligent MCGDM Model in Green Suppliers Selection Using Interactional Aggregation Operators for Interval-Valued Pythagorean Fuzzy Soft Sets

    Rana Muhammad Zulqarnain1, Wen-Xiu Ma1,2,3,*, Imran Siddique4, Hijaz Ahmad5,6, Sameh Askar7

    CMES-Computer Modeling in Engineering & Sciences, Vol., , DOI:10.32604/cmes.2023.030687

    Abstract Green supplier selection is an important debate in green supply chain management (GSCM), attracting global attention from scholars, especially companies and policymakers. Companies frequently search for new ideas and strategies to assist them in realizing sustainable development. Because of the speculative character of human opinions, supplier selection frequently includes unreliable data, and the interval-valued Pythagorean fuzzy soft set (IVPFSS) provides an exceptional capacity to cope with excessive fuzziness, inconsistency, and inexactness through the decision-making procedure. The main goal of this study is to come up with new operational laws for interval-valued Pythagorean fuzzy soft numbers (IVPFSNs) and create two interaction… More >

  • Open Access

    ARTICLE

    Activated Carbon from Nipa Palm Fronds (Nypa fruticans) with H3PO4 and KOH Activators as Fe Adsorbers

    Ninis Hadi Haryanti1,*, Eka Suarso1, Tetti N. Manik1, Suryajaya1, Nurlita Sari1, Darminto2

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.043549

    Abstract Nipa palm is one of the non-wood plants rich in lignocellulosic content. In this study, palm fronds were converted into activated carbon, and their physical, chemical, and morphological properties were characterized. The resulting activated carbon was then applied as an adsorbent of Fe metal in peat water. The carbonization process was carried out for 60 min, followed by sintering at 400°C for 5 h with a particle size of 200 mesh. KOH and H3PO4 were used in the chemical activation process for 24 h. KOH-activated carbon contained 6.13% of moisture, 4.55% of ash, 17.02% of volatile matter, and 78.84% of… More > Graphic Abstract

    Activated Carbon from Nipa Palm Fronds (<i>Nypa fruticans</i>) with H<sub>3</sub>PO<sub>4</sub> and KOH Activators as Fe Adsorbers

  • Open Access

    ARTICLE

    Fabrication of UV–Curing Linalool–Polysiloxane Hybrid Films with High Refractive Index and Transparency

    Wenqing Xiao1,#, Lewen Tan1,2,#, Xunjun Chen1,*, Qiaoguang Li1,*, Yunqing Ruan1

    Journal of Renewable Materials, Vol., , DOI:10.32604/jrm.2023.046662

    Abstract In this article, a series of high refractive indices (1.50–1.53) thiol phenyl polysiloxane (TPS) were synthesized via hydrolytic sol–gel reaction. The Fourier transform infrared spectra (FT–IR) and nuclear magnetic resonance spectra (NMR) results showed that TPS conformed to the predicted structures. Natural terpene linalool was exploited as photocrosslinker to fabricate UV–curing linalool–polysiloxane hybrid films (LPH) with TPS via photoinitiated thiol–ene reaction. LPH rapidly cured under UV irradiation at the intensity of 80 mW/cm2 in 30 s, exhibiting good UV–curing properties. The optical transmittance of LPH in the wavelength of 300–800 nm was over 90%, exhibiting good optical transparency. The water… More >

  • Open Access

    ARTICLE

    Experimental Analysis of Radial Centrifugal Pump Shutdown

    Xiao Sun1, Jiangbo Tong1, Yuliang Zhang2,*, Haibing Cai3, Wen Zhou4, Xiaoqi Jia5, Litao Ou6

    FDMP-Fluid Dynamics & Materials Processing, Vol., , DOI:10.32604/fdmp.2023.045541

    Abstract Centrifugal pumps are widely used in the metallurgy, coal, and building sectors. In order to study the hydraulic characteristics of a closed impeller centrifugal pump during its shutdown in the so-called power frequency and frequency conversion modes, experiments were carried to determine the characteristic evolution of parameters such as speed, inlet and outlet pressure, head, flow rate and shaft power. A quasi-steady-state method was also used to further investigate these transient behaviors. The results show that, compared to the power frequency input, the performance parameter curves for the frequency conversion input are less volatile and smoother. The characteristic time is… More >

  • Open Access

    ARTICLE

    Modeling of Large-Scale Hydrogen Storage System Considering Capacity Attenuation and Analysis of Its Efficiency Characteristics

    Junhui Li1, Haotian Zhang1, Cuiping Li1,*, Xingxu Zhu1, Ruitong Liu2, Fangwei Duan2, Yongming Peng3

    Energy Engineering, Vol., , DOI:10.32604/ee.2023.027593

    Abstract In the existing power system with a large-scale hydrogen storage system, there are problems such as low efficiency of electric-hydrogen-electricity conversion and single modeling of the hydrogen storage system. In order to improve the hydrogen utilization rate of hydrogen storage system in the process of participating in the power grid operation, and speed up the process of electric-hydrogen-electricity conversion. This article provides a detailed introduction to the mathematical and electrical models of various components of the hydrogen storage unit, and also establishes a charging and discharging efficiency model that considers the temperature and internal gas partial pressure of the hydrogen… More >

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