Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

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An Approach of Community Search with Minimum Spanning Tree Based on Node Embedding by Jinglian Liu, Daling Wang, Shi Feng, Yifei Zhang

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Assessment and Classification of Service Learning: A Case Study of CS/EE Students by Han-Ying Kao, Yu-Tseng Wang, Chia-Hui Huang, Pao-Lien Lai, Jen-Yeu Chen

“…This study investigates the undergraduate students in computer science/electric engineering (CS/EE) in Taiwan to measure their perceived benefits from the experiences in service learning coursework. …”
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A novel minimal exposure path problem in wireless sensor networks and its solution algorithm by Hao Feng, Lei Luo, Yong Wang, Miao Ye, Rongsheng Dong

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A Layered Middleware Architecture for Automated Robot Services by Jongsun Choi, Yongseong Cho, Jaeyoung Choi, Jongmyung Choi

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An Innovative Approach for Modelling Urban Road Traffic Using Timed Automata and Formal Methods by Eduardo Valente, Camelia Avram, José Machado, Adina Astilean

“…A series of issues related to modelling these behaviours are common to arise when using formalisms, tools, and computation machines to perform complex calculations and limitations. …”
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Distance-Based Routing Strategy for Traffic Transport in Spatial Networks by Wei Huang, Xiang Pan, Xi Yang, Jianhua Zhang

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A Topology Visualization Early Warning Distribution Algorithm for Large-Scale Network Security Incidents by Hui He, Guotao Fan, Jianwei Ye, Weizhe Zhang

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PC-CS-YOLO: High-Precision Obstacle Detection for Visually Impaired Safety by Jincheng Li, Menglin Zheng, Danyang Dong, Xing Xie

“…The system improves the backbone network by adopting the partial convolutional feed-forward network (PCFN) to reduce computational redundancy. Additionally, to enhance the network’s robustness in multi-scale feature fusion, we introduce the Cross-Scale Attention Fusion (CSAF) mechanism, which integrates features from different sensory domains to achieve superior performance. …”
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Refining breast cancer classification: Customized attention integration approaches with dense and residual networks for enhanced detection by Mohammad Sakif Alam, Anwar Hossain Efat, SM Mahedy Hasan, Md Palash Uddin

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An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning by Ayesha Jabeen, Muhammad Yasir, Yasmeen Ansari, Sadaf Yasmin, Jihoon Moon, Seungmin Rho

“…In addition, we only computed EUNS for the period of the fiscal budget announcement for the US, Turkey, and Hong Kong. …”
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The Influence of Oxygen Substitution on the Optoelectronic Properties of ZnTe by Imad Khan, Sajid Khan, Javid Iqbal, H. A. Rahnamaye Aliabad, Zahid Ali, Iftikhar Ahmad

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Interconnected TiO2 Nanowire Networks for PbS Quantum Dot Solar Cell Applications by Fan Xu, Jaime Benavides, Xin Ma, Sylvain G. Cloutier

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A Two-Scale Discretization Scheme for Mixed Variational Formulation of Eigenvalue Problems by Yidu Yang, Wei Jiang, Yu Zhang, Wenjun Wang, Hai Bi

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Personalized Federated Learning Scheme for Autonomous Driving Based on Correlated Differential Privacy by Yuan Tian, Yanfeng Shi, Yue Zhang, Qikun Tian

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Equilibrium Points and Related Periodic Motions in the Restricted Three-Body Problem with Angular Velocity and Radiation Effects by E. A. Perdios, V. S. Kalantonis, A. E. Perdiou, A. A. Nikaki

“…Also, for certain values of the parameters of the problem for which the equilibrium points are stable, the short and long period families have been computed. To do so, semianalytical expressions have been found for the determination of appropriate initial conditions. …”
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Efficient 3D Shape Matching: Dense Correspondence for non-isometric Deformation by Amirreza Amirfathiyan, Hossein Ebrahimnezhad

“…This paper presents an application of deep learning in computer graphics, utilizing learn-based networks for 3D shape matching. …”
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Revocable identity‐based matchmaking encryption in the standard model by Zhe Jiang, Xiwen Wang, Kai Zhang, Junqing Gong, Jie Chen, Haifeng Qian

“…In particular, the authors give an effective and simple construction of RIB‐ME in the standard model, whose security is reduced to the hardness of decisional bilinear Diffie—Hellman problem and computational Diffie—Hellman problem. In addition, the authors show two extensions of our RIB‐ME scheme to consider chosen‐ciphertext security and forward privacy.…”
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Group-based siamese self-supervised learning by Zhongnian Li, Jiayu Wang, Qingcong Geng, Xinzheng Xu

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Requirements engineering for crossover services: Issues, challenges and research directions by Zhengli Liu, Bing Li, Jian Wang, Rong Yang

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