Modern approaches to diagnosis and surgical treatment of patients with acute obstructive intestinal obstruction by V. A. Samartsev, B. S. Pushkarev, V. A. Gavrilov, A. A. Parshakov, M. P. Kuznetsova, A. A. Domrachev

“…Based on the conducted studies, an algorithm for perioperative diagnosis and treatment of complications was proposed.CONCLUSION. …”
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A Multi-Scale Airspace Sectorization Framework Based on QTM and HDQN by Qingping Liu, Xuesheng Zhao, Xinglong Wang, Mengmeng Qin, Wenbin Sun

“…Experimental results demonstrate that the proposed framework outperforms traditional models in both computational efficiency and workload balancing performance.…”
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Hierarchically Federated Learning in Wireless Networks: D2D Consensus and Inter-Cell Aggregation by Jie Zhang, Li Chen, Yunfei Chen, Xiaohui Chen, Guo Wei

“…To further improve the performance of HDFL, we optimize the computation capacity selection and bandwidth allocation to minimize the training latency and energy overhead. …”
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Remaining Useful Life Prediction Method for Bearings Based on Pruned Exact Linear Time State Segmentation and Time–Frequency Diagram by Xu Wei, Jingjing Fan, Huahua Wang, Lulu Cai

“…First, the PELT (Pruned Exact Linear Time) algorithm is used to segment the vibration signals over the full life cycle of the bearing, accurately identifying critical degradation states and optimizing the stage division of the degradation process. …”
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Automatic Calculation of Average Power in Electroencephalography Signals for Enhanced Detection of Brain Activity and Behavioral Patterns by Nuphar Avital, Nataniel Shulkin, Dror Malka

“…The present study proposes a novel methodology for the automated calculation of the average power of EEG signals, with a particular focus on the beta frequency band which is known for its pronounced activity during cognitive tasks such as 2D content engagement. An optimization algorithm is employed to determine the most appropriate digital filter type and order for EEG signal processing, thereby enhancing both signal clarity and interpretability. …”
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Video Temporal Grounding with Multi-Model Collaborative Learning by Yun Tian, Xiaobo Guo, Jinsong Wang, Bin Li, Shoujun Zhou

“…The framework also integrates an iterative training algorithm for multi-model collaboration, mitigating gradient conflicts through alternate optimization and achieving a dynamic balance between collaborative and independent learning. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

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Research on SeaTreasure Target Detection Technology Based on Improved YOLOv7-Tiny by Xiang Shi, Yunli Zhao, Jinrong Guo, Yan Liu, Yongqi Zhang

“…Experimental results demonstrate that our optimized algorithm achieves a mAP0.5 of 79.5%, representing a 2.0 percentage point improvement over the baseline YOLOv7-tiny model (77.5%) while maintaining computational efficiency at 45.2 GFLOPs. …”
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Secure multidimensional interconnection network for the software defined system on wafer by LI Peijie, SHEN Jianliang, GUO Wei, CAO Zhipeng, MEI Bo

“…This model supported same dimensional, different dimensional, and mixed dimensional heterogeneous multipath transmission. An algorithm for multipath selection and computation was proposed to construct heterogeneous multipaths based on interface status. …”
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Off-grid hydroacoustic signal orientation estimation based on interpolation and subspace fitting in coprime arrays. by Chuanxi Xing, Guangzhi Tan, Qiang Meng, Yanling Ran, Mao Lu

“…This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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The potential & limitations of monoplotting in cross-view geo-localization conditions by Bradley J. Koskowich, Michael J. Starek, Scott A. King

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Artificial intelligence in predicting pathogenic microorganisms’ antimicrobial resistance: challenges, progress, and prospects by Yan Li, Xiaoyan Cui, Xiaoyan Yang, Guangqia Liu, Juan Zhang

“…Finally, we discuss new perspectives and solutions for research into microbial resistance through algorithm optimization, dataset expansion, and interdisciplinary collaboration. …”
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A seismic random noise suppression method based on CNN-Mamba by Xiujuan WEI, Xingye LIU, Huailai ZHOU

“…The hardware-aware parallel algorithm of Mamba was employed to reduce the computational resource consumption, thus ensuring the denoising performance while enhancing computational efficiency. …”
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A Two-Layer Control Framework for Persistent Monitoring of a Large Area With a Robotic Sensor Network by Made Widhi Surya Atman, Muhamad Rausyan Fikri, Karlisa Priandana, Azwirman Gusrialdi

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A Colored Traveling Salesman Problem with Varying City Colors by Xianghu Meng, Jun Li, MengChu Zhou

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Virtualized Network Function Consolidation Based on Multiple Status Characteristics by Dandan Qi, Subin Shen, Guanghui Wang

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Physicochemical profiling and ranking of parkinson’s disease drugs through QSPR and Fuzzy TOPSIS analysis by YuLan Chen, Abdul Rauf, Aqsa Shafique, Fairouz Tchier, Adnan Aslam, Keneni Abera Tola

“…Molecular structures were encoded as adjacency matrices using MATLAB 2017, and six Sombor index variants—computed via a custom Maple 2020 algorithm—served as topological descriptors for QSPR modeling. …”
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Modeling Marine Geoid in the China Seas and Its Adjacent Ocean Based on Satellite Altimeter-Derived Gravity Anomaly Model by Huiying Zhang, Xin Liu, Zhen Li, Xiaotao Chang, Heping Sun, Hui Li, Jinyun Guo

“…The Stokes formula is employed in this study to construct the geoid model, while the two-dimensional fast Fourier transform convolution in planar coordinate is utilized to enhance computational efficiency. Additionally, the remove-computer-restore method is applied during the calculation process. …”
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GNSS-RTK-Based Navigation with Real-Time Obstacle Avoidance for Low-Speed Micro Electric Vehicles by Nuksit Noomwongs, Kanin Kiataramgul, Sunhapos Chantranuwathana, Gridsada Phanomchoeng

“…The system employs a scored predicted trajectory algorithm that simultaneously optimizes path-following accuracy and obstacle evasion. …”
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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study by Shan Huang, Yanping Bai, Ruozhou Qi, Hongda Yu, Xingwu Duan

“…Relapse predictors were identified using the Boruta algorithm combined with multivariate Cox regression. …”
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