Exploring the Inducement for Social Awareness Behavior and Optimal Control Strategy on Nipah Virus Transmission by Saima Efat, K. M. Ariful Kabir

“…Moreover, we systematically analyze the parameter properties within the epidemic model to address diverse real-world scenarios.…”
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Geometric Brownian Motion-Based Time Series Modeling Methodology for Statistical Autocorrelated Process Control: Logarithmic Return Model by Siaw Li Lee, Chin Ying Liew, Chee Khium Chen, Li Li Voon

“…Then, the model was employed and tested on a real-world autocorrelated data, whereby the results were assessed and benchmarked with the ARIMA model. …”
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Exploring the Integration of Blockchain and Distributed DevOps for Secure, Transparent, and Traceable Software Development by Junaid Nasir Qureshi, Muhammad Shoaib Farooq, Usman Ali, Adel Khelifi, Zabihullah Atal

“…Through performance analysis, we demonstrate the effectiveness of our framework in a real-world scenario, highlighting its ability to improve transparency, traceability, and the security of the DevOps pipeline. …”
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Research on Improved YOLOv7 for Traffic Obstacle Detection by Yifan Yang, Song Cui, Xuan Xiang, Yuxing Bai, Liguo Zang, Hongshan Ding

“…These advancements significantly bolster the model’s performance, demonstrating advantages for real-world applications.…”
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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

“…Time-series data are widely applied in real-world scenarios, but the non-stationary nature of their statistical properties and joint distributions over time poses challenges for existing forecasting models. …”
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A Computer Vision-Based Framework for Snow Removal Operation Routing by Mohamed Karaa, Hakim Ghazzai, Yehia Massoud, Lokman Sboui

“…We test the method using a real-world example, simulating snow removal within a study area in Montreal, Quebec, Canada. …”
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Spatial-Temporal Fusion Graph Neural Networks With Mixed Adjacency for Weather Forecasting by Ang Guo, Yanghe Liu, Shiyu Shao, Xiaowei Shi, Zhenni Feng

“…Our approach is validated by extensive experiment on two real-world datasets, which demonstrates the superiority of the proposed method over existing methods.…”
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Exact breather waves solutions in a spatial symmetric nonlinear dispersive wave model in (2+1)-dimensions by Qunyan Zou, Jalil Manafian, Somaye Malmir, K. H. Mahmoud, A. SA. Alsubaie, Nilofer Ali Ewadh, Ihssan Alrekabi

“…The computational difficulties and outcomes highlight the clarity, effectiveness, and simplicity of the approaches, suggesting that these schemes can be applied to a variety of dynamic and static nonlinear equations governing evolutionary phenomena in computational physics as well as to other real-world situations and a wide range of academic fields.…”
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A Star‐Nose‐Inspired Bionic Soft Robot for Nonvisual Spatial Detection and Reconstruction by Qiwei Shan, Yunqi Cao, Haozhen Chi, Shuyu Fan, Ziying Zhu, Dibo Hou

“…The robot effectively discriminates the distance and shape of various objects and achieves nonvisual 3D spatial detection and reconstruction in real‐world scenarios. This work presents a novel bionic approach for 3D spatial detection in nonvisual environments.…”
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THE INFLUENCE OF PRACTICE REGIME ON TACTILE PERCEPTUAL DISCRIMINATIVE ABILITY IN VOLEYBALL, BASKETBALL, AND HANDBALL PLAYERS by Arián Ramón Aladro Gonzalvo, Gerardo Araya Vargas

“…</strong> The purpose of this study was to assess on real-world contexts the tactile perceptual discriminative capability in volleyball, basketball and handball players, as well as, explored whether some issue related with the athletic performance and practicing regimen, predict aforementioned capacity. …”
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GNSS Signal Extraction Using CEEMDAN–WPD for Deformation Monitoring of Ropeway Pillars by Song Zhang, Yuntao Yang, Yilin Xie, Haoran Tang, Haiyang Li, Lianbi Yao, Yin Yang

“…Simulation experiments and real-world scenario applications with operational field data processing demonstrate the effectiveness of the proposed method. …”
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Prevalence of rare anatomic variants - publication bias due to selective reporting in meta-analyses studies by Vasileios Papadopoulos, Dimitrios Filippou, Aliki Fiska

“…Materials and methods: We used probability theory over three sets of real-world and a single set of simulation data to assess the maximum publication bias due to selective reporting in meta-analysis of rare anatomic variants. …”
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Hierarchical Spatial Clustering in Multihop Wireless Sensor Networks by Zhidan Liu, Wei Xing, Yongchao Wang, Dongming Lu

“…Through a thorough investigation of a real-world environmental data set, we observe strong temporal-spatial correlation and define a novel similarity measure metric to inspect the similarity between any two sensor nodes, which take both magnitude and trend of their sensing readings into consideration. …”
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Adversarial subdomain adaptation network for mismatched steganalysis by Lei ZHANG, Hongxia WANG

“…Once data in the training and test sets come from different cover sources, that is, under the condition of cover source mismatch, it usually makes the detection accuracy rate of an outstanding steganalysis model to be reduced.In practical applications, the analyzers need to process images collected from the Internet.However, compared with the training set data, these suspicious images are likely to have completely different capture and processing histories, which may lead to the degradation of steganalysis model.It is also why steganalysis tools are difficult to deploy successfully in the real-world applications.To improve the practical application value of steganalysis methods based on deep learning, test sample information is utilized and domain adaptation method is used to solve the problem of cover source mismatch.Regarding the training set data as the source domain and test set data as the target domain, the detection performance of steganalysis models in the target domain is enhanced by minimizing the discrepancy between the feature distribution of source domain and target domain.ASAN (adversarial subdomain adaptation network) was proposed from the perspective of feature generation on the one hand.The source domain features and target domain features generated by the steganalysis model were required to be as similar as possible, so that the discriminator cannot distinguish which domain the features came from.On the other hand, to reduce the difference of feature distribution between domains, the subdomain adaptation method was adopted to reduce the unexpected change of the distribution of related subdomains.The distance between the cover and stego samples was enlarged effectively to improve the classification accuracy.After testing three steganography algorithms on multiple datasets, it is confirmed that the proposed method can effectively improve the detection accuracy rate of the model in the case of dataset mismatch and algorithm mismatch and it can also reduce the negative impact of the mismatch problem of the model.…”
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A novel approach on laplacian energy of -dominating complex spherical fuzzy graph structures and with application by S. N. Suber Bathusha, S. Angelin Kavitha Raj, Mufti Mahamud, Sowndharya Jayakumar

“…Finally, we have discussed a real-world example based on temperature variation and climatic data analysis in an environment with a LE of the [Formula: see text]-dominant CSFGS, to demonstrate the applicability of the generated results. …”
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Activation of educational activities of schoolchildren under the development of mathematical methods of knowledge by Marina I. Bekoeva

“…The paper focuses on the fact that in order to enhance the creative educational and cognitive activity of students, it is important to constantly correlate the studied mathematical models with their real prototypes by abstracting and generalizing the phenomena of the real world, substantive and methodological connection of theoretical conclusions with practical work. …”
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Enhanced Cognitive Load Detection in Air Traffic Control Operators Using EEG and a Hybrid Deep Learning Approach by Yueying Zhou, Junji Jiang, Lijun Wang, Shanshan Liang, Hao Liu

“…Nevertheless, the extant paradigm is limited to simple cognitive tasks and lacks real-world scenarios. In this study, a cognitive load-elicited experiment was therefore designed to record the EEG data of eight ATC operators under four distinct simulation scenarios, ascertaining whether they experienced varying degrees of workload. …”
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SWOT Analysis on the Use of Haba Inggreh Android Application in High Schools in Nagan Raya Regency by Veni Nella Syahputri, Nyak Mutia Ismail, Kismullah, Herri Darsan

“…Though Haba Inggreh offers helpful materials, language acquisition calls for real-world contact and immersion. Users could overuse the app and choose not to follow local wisdom. …”
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The Data Heterogeneity Issue Regarding COVID-19 Lung Imaging in Federated Learning: An Experimental Study by Fatimah Alhafiz, Abdullah Basuhail

“…This study emphasizes the importance of recognizing real-world data variability before proposing solutions to tackle non-independent and non-identically distributed (non-IID) data. …”
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Diabetes Remission after Nonsurgical Intensive Lifestyle Intervention in Obese Patients with Type 2 Diabetes by Adham Mottalib, Mahmoud Sakr, Mohamed Shehabeldin, Osama Hamdy

“…We retrospectively evaluated diabetes remissions after one year of the Weight Achievement and Intensive Treatment (Why WAIT) program, a 12-week intensive program for diabetes weight management in real-world clinical practice. Among 120 obese patients with type 2 diabetes who completed the program, 88 patients returned for follow-up at one year. …”
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