A Dual Grid Collaborative Navigation Method and Computer Simulation Based on Data Link by Li Yongfeng, Hao Xiuqiang, Wu Zhenguo, Wu Gang, Guo Chubing

“…Finally, a distributed computer simulation system is constructed by closely integrating the technical characteristics and error characteristics of the data link collaborative navigation system. …”
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Current status and outlook of UWB radar personnel localization for mine rescue by ZHENG Xuezhao, MA Jiawen, HUANG Yuan, LI Qiang, REN Jing, LIU Yu

“…Future research directions of UWB radar personnel localization technology for mine rescue operations are proposed: ① optimizing the UWB radar localization system by constructing cross-modal information fusion models and developing highly adaptive signal processing methods to enhance the system's adaptability to post-mining disaster environments; ② improving the applicability of combined static and dynamic target localization by developing hybrid localization algorithms that integrate Bayesian networks or deep belief networks to fuse static and dynamic target features and establishing state-switching-based comprehensive models; ③ improving UWB radar echo processing algorithms, combining adaptive beamforming technology, Multiple Input Multiple Output (MIMO) technology, and optimized K-means++ or entropy-based hierarchical analysis algorithms, effectively distinguishing multi-target position information, and validating their adaptability and reliability in complex environments through extensive simulation experiments.…”
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Improving dependability with low power fault detection model for skinny-hash. by Sonal Arvind Barge, Gerardine Immaculate Mary

“…IoT devices are secured by cryptographic algorithms, but their dependability is a major concern. …”
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The Author's Reply by Mohamad Reza Golzar Feshalami, Mehraban Shahi, Nasrin Davari Dolatabadi

“…By integrating advanced imaging modalities and machine learning algorithms, researchers can indeed enhance diagnostic accuracy and efficiency, thereby improving patient outcomes.Additionally, we agree with the commenter’s recommendation regarding the necessity for healthcare professionals to receive adequate training in AI technology. …”
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Numerical Modeling Tools and S-derivatives by Anatoly Nikolaevich Morozov

“…It is proved that if f belongs to W₁ⁿ⁻¹[I] and the function f⁽ⁿ⁻¹⁾ is uniformly S-differentiable on I, then f belongs to Cⁿ[f]. The constructions are algorithmic in nature and can be applied in numerically computer research of various relevant models.…”
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Proximal remote sensing of dissolved organic matter in aqua-culture ponds via multi-temporal spectral correction by Wenxu Lv, Yancang Wang, Huiqiong Cao, Peng Cheng, Xiaohe Gu, Zhuoran Ma, Mengjie Li, Ruiyin Tang, Qichao Zhao, Xuqing Li, Lan Zhang, Shuaifei Liu

“…Dissolved organic matter (DOM) is a critical indicator of aquatic environmental quality, and its concentration affects the quality of aquaculture products. Integrating unmanned aerial vehicle (UAV)-based multispectral data with machine learning algorithms enables accurate estimation of DOM. …”
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Fine-art recognition using convolutional transformers by Yu Liu, Haozhe Bai, Jingchao Wang

“…Advanced computer vision algorithms are crucial for architectural and artistic analysis. …”
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Design as Exploration by Ding Yang

“…Moreover, a software workflow that can provide these computational techniques is developed; it integrates McNeel’s Grasshopper, ESTECO's modeFRONTIER and simulation software tools Daysim, EnergyPlus and Karamba3D. …”
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Dynamic Multi-Population Mutation Architecture-Based Equilibrium Optimizer and Its Engineering Application by Xiangdong Wu, Kaoru Hirota, Yaping Dai, Shuai Shao

“…Finally, a dynamic Cauchy mutation-based sub-population equilibrium candidate generation mechanism is integrated to boost exploration ability. The optimization ability of DMMAEO is assessed through a comparison with several recent promising algorithms on 58 test functions (including 29 representative test functions and 29 CEC2017 test functions). …”
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A Study on the Extraction of Satellite Image Information for Two Types of Coastal Fishery Facility Fish Cages and Rafts Influenced by Clouds and Vessels by Ao Chen, Jialu Yu, Junbo Zhang, Gangyi Yu, Rong Wan

“…The MROIC model enhances spectral information by constructing ratio bands alongside principal component analysis, subsequently employing rule sets, edge detection algorithms, and comprehensive algorithmic merging techniques. …”
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Logging Components Extraction Method and Anisotropy Recognition Based on 3D Holographic LWD Instrument by Shuyu Guo, Jie Wang, Xiangyu Xing, Jiaqi Xiao, Xiao Liu

“…Addressing the challenges of extracting all electromagnetic logging components in a self-developed 3D holographic logging while drilling (LWD) tool using existing theoretical methods, this study focuses on the following core work: starting from a three-directional electromagnetic wave instrument and combining the basic measurement principles of the logging coil system, deriving the transmission-reception response formulas for two antenna systems (Co-planar and Antiplanar antenna systems), extracting all nine logging components to form a method directly calculable and applicable to the instrument. By integrating extracting algorithms with the specific antenna configuration of the 3D holographic LWD tool, high-fidelity extraction and complete separation of all nine electromagnetic logging components are achieved. …”
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Cross paradigm fusion of federated and continual learning on multilayer perceptron mixer architecture for incremental thoracic infection diagnosis by Tianshuo Zhou, Boyuan Wang

“…This model was applied to the COVID-XRAY and COVID-CT datasets using 3 and 6 clients, respectively, implementing 4 continual learning algorithms across ten different models. Notably, we integrated MLP-Mixer with Learning without Forgetting (LwF) techniques, achieving an accuracy of 54.34%. …”
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Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning by Abdulaziz A. Alzubaidi

“…Detecting these intrusions has recently gained attention in academia and industrial fields for addressing existing threats and developing detection frameworks, such as utilizing machine and deep learning algorithms. Because of its importance in this field, this survey aims to provide a background for researchers interested in detecting malware in drones, discuss recent approaches, depict a taxonomy of constructing approaches, identify existing problems, and explore trends in future work.…”
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USE OF GEOINFORMATION TECHNOLOGIES IN AN GEOECOLOGICAL EVALUATION FOR SUSTAINABLE DEVELOPMENT OF NATURAL AND TECHNOGENIC COMPLEXES by N. O. Guseynova

“…Ecological maps are constructed with application of GIS-technologies. Results. …”
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Determination of Coefficients of High-Order Schemes for Riemann-Liouville Derivative by Rifang Wu, Hengfei Ding, Changpin Li

“…Lubich has ever proposed the high-order schemes when he studied the fractional linear multistep methods, where he constructed the pth order schemes (p=2,3,4,5,6) for the αth order Riemann-Liouville integral and αth order Riemann-Liouville derivative. …”
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Improving earthquake prediction accuracy in Los Angeles with machine learning by Cemil Emre Yavas, Lei Chen, Christopher Kadlec, Yiming Ji

“…Among sixteen evaluated machine learning algorithms, Random Forest proved to be the most effective. …”
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Machine learning approach to predict prognosis and immunotherapy responses in colorectal cancer patients by Zhen Liu, Dou Yu, Pengyan Xia, Shuo Wang

“…Furthermore, this IRRS model outperformed the Tumor Immune Dysfunction and Exclusion (TIDE) tool in predicting immunotherapy response. Therefore, by integrating patient clinical and transcriptomic data and applying machine learning algorithms, we developed a predictive model with enhanced accuracy and clinical utility for risk stratification and immunotherapy response prediction in CRC patients.…”
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Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…Subsequently, a decision risk assessment framework is constructed, integrating data quality evaluation and operational risk considerations, to drive strategy optimization through in-depth data analysis. …”
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The Fusion of Multi-Focus Images Based on the Complex Shearlet Features-Motivated Generative Adversarial Network by Lei Wang, ZhouQi Liu, Jin Huang, Cong Liu, LongBo Zhang, ChunXiang Liu

“…The traditional methods for multi-focus image fusion, such as the typical multi-scale geometric analysis theory-based methods, are usually restricted by sparse representation ability and the transferring efficiency of the fusion rules for the captured features. Aiming to integrate the partially focused images into the fully focused image with high quality, the complex shearlet features-motivated generative adversarial network is constructed for multi-focus image fusion in this paper. …”
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Robust Miner Detection in Challenging Underground Environments: An Improved YOLOv11 Approach by Yadong Li, Hui Yan, Dan Li, Hongdong Wang

“…A large dataset encompassing complex environments, such as low-light conditions, partial strong light interference, and occlusion, was constructed. The Efficient Channel Attention (ECA) mechanism was integrated into the YOLOv11 model to enhance the model’s ability to focus on key features, thereby significantly improving detection accuracy. …”
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