Edge Computing-Based Digital Twin Framework Based on ISO 23247 for Enhancing Data Processing Capabilities by Min-Su Kang, Dong-Hee Lee, Mahdi Sadeqi Bajestani, Duck Bong Kim, Sang Do Noh

“…Digital Twin (DT) technology has evolved to contextualize real-time interactions between the physical and digital worlds. …”
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Calculation for Primary Combustion Characteristics of Boron-Based Fuel-Rich Propellant Based on BP Neural Network by Wu Wan'e, Zhu Zuoming

“…A practical scheme for selecting characterization parameters of boron-based fuel-rich propellant formulation was put forward; a calculation model for primary combustion characteristics of boron-based fuel-rich propellant based on backpropagation neural network was established, validated, and then was used to predict primary combustion characteristics of boron-based fuel-rich propellant. …”
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A Multifeature Fusion Network for Tree Species Classification Based on Ground-Based LiDAR Data by Yaoting Liu, Yiming Chen, Zhengjun Liu, Jianchang Chen, Yuxuan Liu

Subjects: “…light detection and ranging (LiDAR)…”
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Cricket protein-based film containing Caralluma fimbriata extract-based nanoparticles for preservation of cheddar cheese by Aunzar Bashir Lone, Hina F. Bhat, Sunil Kumar, Abderrahmane Aït-Kaddour, Rana Muhammad Aadil, Abdo Hassoun, Zuhaib F. Bhat

“…A bioactive film was developed using cricket (Acheta domestica) protein (Cric-Prot) and Caralluma fimbriata extract-based nanoparticles [Car-Fim-NPs (0.0, 1.0, 2.0, and 3.0 % w/v)] to augment the storage stability and functional value of cheddar cheese (Ched-Chee). …”
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Digital-Twin-Based Evaluation of Nearly Zero-Energy Building for Existing Buildings Based on Scan-to-BIM by Liang Zhao, Hong Zhang, Qian Wang, Haining Wang

“…In recent years, the global energy environment has become increasingly severe, and the problems such as global warming, soaring carbon emissions, and excessive use of petrochemical energy have attracted increasing attention from all walks of life. …”
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Retracted: The Construction of Folk Sports Featured Towns Based on Intelligent Building Technology Based on the Internet of Things by Applied Bionics and Biomechanics

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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…We present the segmentation results for both the whole abnormal volume and for each abnormal component inside the examinations of the validation set. In the first case, a dice score coefficient (DSC), sensitivity, and precision of 0.76, 0.78, and 0.82, respectively, were found, while in the second case the model detected and segmented correct (True positives) the 48.8% (DSC ≥ 0.5) of abnormal components, partially correct the 27.1% (0.05 > DSC > 0.5), and missed (False Negatives) the 24.1%, while it produced 25.1% False Positives. …”
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Identifying and analyzing drivers of innovative behavior based on strategic management of human resources in knowledge-based organizations by Mitra Sadoughi

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A Comparison of Field-Based and Lab-Based Experiments to Evaluate User Experience of Personalised Mobile Devices by Xu Sun, Andrew May

“…There is a growing debate in the literature regarding the tradeoffs between lab and field evaluation of mobile devices. This paper presents a comparison of field-based and lab-based experiments to evaluate user experience of personalised mobile devices at large sports events. …”
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Investigation on the Inversion of the Atmospheric Duct Using the Artificial Bee Colony Algorithm Based on Opposition-Based Learning by Chao Yang, Jian-Ke Zhang, Li-Xin Guo

“…This paper presents an improved ABC algorithm named as OGABC based on opposition-based learning (OBL) and global best search equation to overcome the shortcomings of the slow convergence rate and sinking into local optima in the process of inversion of atmospheric duct. …”
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Predicting drug combination side effects based on a metapath-based heterogeneous graph neural network by Leixia Tian, Qi Wang, Zhiheng Zhou, Xiya Liu, Ming Zhang, Guiying Yan

“…In this paper, we built a Metapath-based Aggregated Embedding Model on Single Drug–Side Effect Heterogeneous Information Network (MAEM-SSHIN), which extracts feature from a heterogeneous information network of single drug side effects, and a Graph Convolutional Network on Combinatorial drugs and Side effect Heterogeneous Information Network (GCN-CSHIN), which transforms the complex task of predicting multiple side effects between drug pairs into the more manageable prediction of relationships between combinatorial drugs and individual side effects. …”
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A Potential Friends Recommendation Model for Location-Based Social Network by Xiaochen Sun, Yabin Xu

Subjects: “…location-based service…”
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Accounting for retarded weathering products in comparing methods for quantifying carbon dioxide removal in a short-term enhanced weathering study by Emily E. E. M. te Pas, Elliot Chang, Elliot Chang, Alison R. Marklein, Rob N. J. Comans, Mathilde Hagens

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EventSegNet: Direct Sparse Semantic Segmentation from Event Data by Pengju Li, Yuqiang Fang, Jiayu Qiu, Jun He, Jishun Li, Qinyu Zhu, Xia Wang, Yasheng Zhang

Subjects: “…event-based vision sensors…”
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Application of Overall Equipment Effectiveness for Optimizing Ventilator Reliability in Intensive Care Units and Emergency Departments by Khelood A. Mkalaf, Rami Hikmat Al-Hadeethi, Peter Gibson

Subjects: “…Reliability-Based Maintenance…”
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Observational Diagnostics: The Building Block of AI-Powered Visual Aid for Dental Practitioners by Ruchika Raj, Ravikumar Rajappa, Vijayalakshmi Murthy, Mahyar Osanlouy, Daniel Lawrence, Mahen Ganhewa, Nicola Cirillo

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Benchmarking cell type annotation methods for 10x Xenium spatial transcriptomics data by Jinming Cheng, Xinyi Jin, Gordon K. Smyth, Yunshun Chen

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De la evidencia a la práctica: la Ciencia de la Diseminación e Implementación en atención primaria y comunitaria by Cristina Martínez, Francisco Camarelles Guillem, Angelina González-Viana, Álvaro Sánchez, Olena Tigova, Esteve Fernández

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Design, implementation and evaluation of value-based payment models: a Delphi study by Diogo L. L. Leao, Lise A. M. Moers, Henricus-Paul Cremers, Dennis van Veghel, Wim Groot, Milena Pavlova

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Evaluating a task-based lesson plan: A case study of Turkish EFL learners by Vildan İnci Kavak

Subjects: “…task-based language teaching…”
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