A numerical framework for simulating fluid-structure interaction phenomena by A. De Rosis, S. de Miranda, C. Burrafato, F. Ubertini

“…The lattice Boltzmann method is used to compute fluid dynamics, while the corotational finite element formulation together with the Time Discontinuous Galerkin method are adopted to predict structure dynamics. …”
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A New State Estimation Method with Radar Measurement Missing by Hongjian Wang, Cun Li, Ying Wang, Qing Li, Xicheng Ban

“…The simulation test demonstrates the proposed accuracy and real-time performance of the proposed algorithm.…”
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Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

“…Simulation results demonstrate that the proposed strategies and algorithms offer acceptable performance in terms of algorithmic efficiency and strategic effectiveness, while also preserving fundamental economic principles and supporting stable market dynamics.…”
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User preference–based QoS-aware service function placement in IoT-Edge cloud by Briytone Mutichiro, Younghan Kim

“…In the Internet of Things-Edge cloud, service provision presents a challenge to operators to satisfy user service-level agreements while meeting service-specific quality-of-service requirements. …”
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Target Tracking Using a Time-Varying Autoregressive Dynamic Model by Ralph J. Mcdougall, Simon J. Godsill

“…Target tracking algorithms commonly use structured dynamic models which require prior training of fixed model parameters. …”
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Finite-Time Tracking Control in Robotic Arm with Physical Constraints Under Disturbances by Jiacheng Lou, Xuecheng Wen, Sergei Shavetov

“…This paper proposes a novel control algorithm for robotic manipulators with unknown nonlinearities and external disturbances. …”
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Neural topic modeling reveals German television’s climate change coverage by Tatjana Schirmag, Jakob H. Wedemeyer, Annika Stechemesser, Leonie Wenz

“…The media play a crucial role in informing the public discourse. While previous research has predominantly focused on written news, television remains the primary source of information globally. …”
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The benefits and trade-offs of multi-variable calibration of the WaterGAP global hydrological model (WGHM) in the Ganges and Brahmaputra basins by H. M. M. Hasan, P. Döll, P. Döll, S.-M. Hosseini-Moghari, F. Papa, A. Güntner, A. Güntner

“…<p>While global hydrological models (GHMs) are affected by large uncertainties regarding model structure, forcing and calibration data, and parameters, observations of model output variables are rarely used to calibrate the model. …”
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Optimizing Strategies in Patients Affected by Tumors Infiltrating the Skull: A Single Center Experience by Giuseppe Emmanuele Umana, Sruthi Ranganathan, Salvatore Marrone, Jessica Naimo, Matteo Giunta, Angelo Spitaleri, Marco Fricia, Gianluca Ferini, Gianluca Scalia

“…While MR provides enhanced visualization and preoperative engagement, standard navigation remains more precise during surgery. …”
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Komparasi Kinerja Algoritma Blocking Pada Proses Indexing Untuk Deteksi Duplikasi by M. Miftakul Amin, Yevi Dwitayanti

“…While the Soundex and Cosine Similarity algorithms provide the most optimal results, which are 8 candidate record pairs. …”
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Development of Residual Dense U-Net (RDU-Net)-Based Metal Artefacts Reduction Technique Using Spectral Photon Counting CT by Osama Khan, Briya Tariq, Nadine Francis, Nabil Maalej, Abderaouf Behouch, Amer Kashif, Asim Waris, Aamir Raja

“…The study also evaluated material density images of hydroxyapatite (HA) and iodine, with and without the MAR algorithm, using the receiver operating characteristic (ROC) paradigm. …”
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YOLOv8-OCHD: A Lightweight Wood Surface Defect Detection Method Based on Improved YOLOv8 by Zuxing Chen, Junjie Feng, Xueyan Zhu, Bin Wang

“…This effectively reduces the difficulty and cost of deployment on mobile terminals while significantly improving algorithm accuracy, meeting real-time requirements, and providing a more efficient and feasible technical solution for relevant applications. …”
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Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

“…The scene-adaptive counting algorithm tracked the motion trajectory between target drill pipes and key points at the drill rig's tail while employing multi-condition peak judgment to achieve automatic counting, thereby minimizing the impact of irrelevant pipes on accuracy. …”
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Advancing In Vivo Molecular Bioimaging With Optimal Frequency Offset Selection and Deep Learning Reconstruction for CEST MRI by Adarsha Bhattarai, Chathumi Samaraweera, Mariano Uberti, Aditya N. Bade, Yutong Liu, Dongming Peng

“…Firstly, we use an optimization algorithm to identify a set of optimal sparse frequency offsets for data collection. …”
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Growth Curve Models and Clustering Techniques for Studying New Sugarcane Hybrids by Carlos David Carretillo Moctezuma, María Guzmán Martínez, Flaviano Godínez-Jaimes, José C. García-Preciado, Ramón Reyes Carreto, José Terrones Salgado, Edgar Pérez Arriaga

“…According to the Connectivity and Dunn indexes, the DBSCAN algorithm provides the best clustering structure for materials in the plant cycle, while for the ratoon cycle, the k-means algorithm offers the best clustering structure. …”
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Pig Aggression Tracking and Analysis Application Based on A RPMeMOTR Method by Shuqin Tu, Haoxuan Ou, Aqing Yang, Yun Liang, Jiaying Du, Yuefei Cao, Ruilin He, Fang Yuan

“…Then, we design the P-ids algorithm to ensure stable tracking by preserving and leveraging historical trajectory data. …”
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Optimizing Remote Sensing Image Retrieval Through a Hybrid Methodology by Sujata Alegavi, Raghvendra Sedamkar

“…Low-level features are extracted using the modified Multiscale Multiangle Completed Local Binary Pattern (MSMA-CLBP) algorithm to capture local contexture features, while high-level features are obtained through a hybrid CNN structure combining pretrained networks (Alexnet, Caffenet, VGG-S, VGG-M, VGG-F, VGG-VDD-16, VGG-VDD-19) and a fully connected dense network. …”
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The spatial-temporal probability assessment for slope instability based on uncertainty of machine learning-based prediction by Tai-feng Li, Xian-pu Xiao, Rong-hui Yan, Kang Xie, You-ming Zhao, Qian-li Zhang, Mao-qin Che

“…Additionally, the Gated Recurrent Unit (GRU) neural network algorithm is used to predict the displacement temporal characteristics of an individual measurement point, while the Kriging algorithm is utilized to interpolate the spatial distribution of SCD on the target slope. …”
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NAF-MEEF: A Nonlinear Activation-Free Network Based on Multi-Scale Edge Enhancement and Fusion for Railway Freight Car Image Denoising by Jiawei Chen, Jianhai Yue, Hang Zhou, Zhunqing Hu

“…Specifically, it becomes extremely difficult to remove noise while simultaneously preserving fine-grained textures and edge details. …”
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Image Preprocessing Framework for Time-domain Astronomy in the Artificial Intelligence Era by Liang Cao, Peng Jia, Jiaxin Li, Yu Song, Chengkun Hou, Yushan Li

“…Results demonstrate that our framework significantly enhances image preprocessing speed while maintaining accuracy levels comparable to CPU-based algorithms. …”
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