Application of Deep Learning to the Classification of Stokes Profiles: From the Quiet Sun to Sunspots by Ryan J. Campbell, M. Mathioudakis, Carlos Quintero Noda, P. H. Keys, D. Orozco Suárez

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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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Optimizing Spatial Complexity of the Hard Decision Decoder Based on Hash and Syndrome Decoding (HSDec) by Seddiq El Kasmi Alaoui, Tarik Chanyour, Hamza Faham, Said Nouh

“…Overall, the proposed decoder proves to be an effective solution, optimizing memory usage without compromising error correction capabilities, making it ideal for high-density data applications and environments with limited memory resources.…”
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Uncertainty Quantification of First Fix in a Time-Differenced Carrier Phase Observation Model by Hakim Cherfi, Julien Lesouple, Joan Solà, Paul Thevenon

“…A key point in the TDCP modeling is the assumption that the GNSS receiver’s initial position is perfectly known, which is never exactly the case in real-world applications. This study assesses the impact of initial position errors on estimated displacement by formulating a correct TDCP model and a misspecified one, where the first position is not correct. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Additionally, the noise reduction and P-wave arrival time picking performance was evaluated by the total cost function of P-wave arrival picking errors. Both the synthetic tests of noisy Ricker wavelet and the microseismic data application of the Gengcun coal mine indicate that the Adaboost_LSTM model has excellent noise fitting capabilities but poor fitting for useful microseismic signals that haven’t undergone neural network training. …”
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Application of a Hybrid Model Based on CEEMDAN and IMSA in Water Quality Prediction by GUO Li-jin, WU Hao-tian

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Construction and application of near-infrared spectroscopy analysis model for peanut quality traits by Hairong CAI, Wenjing SONG, Jianben LIN, Jiawei LIU, Yuanyuan GUO, Bowen LI, Haiyang YANG, Jiayi LU, Hanfeng SHI, Jiankuan WANG, Fangming LI, Tao GUO

“…The mutants in the offspring of aerospace mutagenesis materials were screened by the best model to investigate the application value of the model. ResultA near-infrared spectral analysis model for 12 peanut quality traits was constructed. …”
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Application of the multilayer soil equivalence method in determining the normalized parameters of the grounding system by D. G. Koliushko, S. S. Rudenko, V. O. Vevenko

“…Therefore, the need to provide multilayer geoelectric structures into equivalence two-layer models for practical application is an urgent task. Goal. Determination of the application limits of the multilayer soils equivalence method based on the calculating results analysis of the grounding system normalized parameters. …”
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Optimal estimates of trace distance between bosonic Gaussian states and applications to learning by Lennart Bittel, Francesco Anna Mele, Antonio Anna Mele, Salvatore Tirone, Ludovico Lami

“…In this work, we fully resolve this question by demonstrating that if the first and second moments are known up to an error $\varepsilon$, the trace distance error on the state also scales as $\varepsilon$, and this functional dependence is optimal. …”
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An Application of Autoregressive Distributed Lag-Models for Earnings per Share Forecasting in Poland by Wojciech Kuryłek

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Application of Kolmogorov-Arnold network (KAN) for solitary-Peakon investigation of Lax model by Muhammad Wajahat Anjum, Sana Ullah Saqib, Yin-Tzer Shih, Israr Ul Hassan, Adnan, Ines Hilali Jaghdam, Mouloud Aoudia, Lioua Kolsi

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Automated mining of packet signatures for traffic identification at application layer with apriori algorithm by LIU Xing-bin1, YANG Jian-hua1, XIE Gao-gang1, HU Yue1

“…Automatic and accurate extraction packet signatures are the foundation of the precise traffic identification at application level. A method which can automatically extract the packet signatures of characteristic string and packet length for traffic identification at application layer was proposed. …”
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Some methods of estimating the spatial pattern point data with application ( comparative study) by Jaufar Mousa Mohammed

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Prediction of Poisson's ratio for a petroleum engineering application: Machine learning methods. by Fahd Saeed Alakbari, Syed Mohammad Mahmood, Mohammed Abdalla Ayoub, Muhammad Jawad Khan, Funsho Afolabi, Mysara Eissa Mohyaldinn, Ali Samer Muhsan

“…However, existing methods lack the accuracy needed for critical applications, necessitating the need to explore more accurate methods. …”
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Improving Performance of Integrated Ground-HAPS FSO Communication Links With MIMO Application by Emna Zedini, Yalcn Ata, Mohamed-Slim Alouini

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A Methodology to Design Broadband Negative Inductors with Tight Tolerance for Microwave Applications by B. S. Buiantuev, N. S. Kalmykov, E. V. Iakovenko, D. V. Kholodnyak

“…As a result, broadband NFE characteristics differ from the target ones remarkably that limits practical applications.Aim. Elaboration of a design methodology to compensate the Linvill’s NIC conversion error and realize high-accuracy broadband negative inductors.Materials and methods. …”
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Concurrent Validity and Reliability of a Free Smartphone Application for Evaluation of Jump Height by Amândio Dias, Paulo Pires, Leandro Santana, Paulo Marques, Mário C. Espada, Fernando Santos, Eduardo Jorge Da Silva, André Rebelo, Diogo S. Teixeira

“…However, it presents a slight estimation error when compared to the contact platform.…”
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An Application of High-Resolution Mobile Mapping in Smart Cities: Gaziosmanpasa Case Study by R. A. Kucak, İ. Yakar, İ. Buyuksalih

“…Since the measurements made on the building surfaces are especially important for smart city applications, the margin of error of the measurements should be taken into consideration. …”
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Application of Artificial Neural Network (ANN) in Predicting Box Compression Strength (BCS) by Juan Gu, Euihark Lee

“…This study explores the application of artificial neural networks (ANNs) to estimate BCS at an industry-applicable level. …”
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Scheme Design and Key Technology Application of Multi-joint Unmanned Underwater Vehicle by HAN Tao, HU Zhiqiang, CUI Qingjia, QING Xiaohui, XU Biao

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