Evaluating the EVENODD Code: Principles, Applications, and Future Prospects in Data Storage Systems by Deng Jinxiang

“…This paper provides a comprehensive analysis of the EVENODD code, a widely used parity code in error detection and correction applications. The fundamental principle of the EVENODD code relies on adding a binary check bit to ensure that the count of ones in the data string is either even or odd, depending on the desired configuration. …”
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APPLICATION OF COMPENSATION METHOD FOR SEPARATION USEFUL SIGNAL AND INTERFERENCE FROM NEARBY SOURCES by S. A. Ivanov, D. A. Savin

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SIMPLIFIED FORMULAS FOR SOME BESSEL FUNCTIONS AND THEIR APPLICATIONS IN EXTENDED SURFACE HEAT TRANSFER by Irvan Irvan, Zahedi Zahedi, Anjar Agus, Sarmin Suparni, Harahap Amin

“…Bessel functions find many applications in Physics and Engineering fields. Some of these applications are in the analysis of extended surface heat transfer where the cross-sections vary. …”
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A mutual mapping model of cross-sections between the axial and normal planes of ball screws based on the forming of helical ball track by Chaoqun Qian, Yi Ou, Hutian Feng, Jian Wu

“…In 3D modeling tests, it processes 10,000 points in merely 5 ms, with an impressively low maximum relative error of 0.001%. Further testing in product detection confirms the robustness of the model, maintaining a maximum relative error under 0.5%. …”
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Application and optimization of BP prediction model driven by internet of things in tourism education by Qi Lv

“…Moreover, the model demonstrates superior performance in mean squared error, achieving errors of 0.063 for textual data, 0.059 for numerical data, and 0.067 for categorical data, consistently surpassing the baseline models across all metrics. …”
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Forecasting of Inflation Based on Univariate and Multivariate Time Series Models: An Empirical Application by Hasnain Iftikhar, Faridoon Khan, Paulo Canas Rodrigues, Abdulmajeed Atiah Alharbi, Jeza Allohibi

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A web-based machine learning framework for building energy efficiency prediction by B.S.S.V. Ramana, S. Chanikya Kumar, N. Bharath Kumar, Attuluri R. Vijay Babu

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An Open-Access Repository of Synchrophasor Data Quality Examples: Curation and Example Applications by Shuchismita Biswas, Tianzhixi Yin, Syed Ahsan Raza Naqvi, Jim Follum, Antos Cheeramban Varghese, Tawsif Ahmad, Pavel Etingov

“…However, data artifacts may be introduced in these measurements due to various factors such as loss of communication, loss of GPS signal, internal clock error, and vendor-specific implementation of phasor estimation algorithms. …”
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Application of multi-sensor fusion localization algorithm based on recurrent neural networks by Zexia Huang, Guoyang Ye, Pu Yang, Wanshun Yu

“…The algorithm is validated through comprehensive simulations on the Gazebo platform, demonstrating a localization error within 8 cm under various noise levels and dynamic disturbances. …”
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Application of Artificial Intelligence Technology for Prompt Diagnosis of Cast Iron Mechanical Properties by A. Yu. Kutsepau, A. P. Kren, A. V. Nikiforov, N. K. Tursunov

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THE NOVEL MOBILE DEVICE APPLICATION OF CAPSTESIA AIMED TO DEFINE THE NEED FOR FLUID THERAPY by R. S. Perfiliev, Yu. V. Skripkin, A. M. Ovezov, V. V. Likhvantsev

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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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Application of inertial navigation high precision positioning system based on SVM optimization by Ruiqun Han

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Towards a model for integrating process verification in process-driven application development by Nguyễn Thanh Tuấn, Lê Thành Nhân, Hoàng Thị Thanh Hà

“…By converting BPMN models into CPN, the method allows for early detection of errors such as deadlocks and inconsistencies. A real-world, loan application, case study demonstrates that the BPMN + CPN approach reduces errors by 80%, significantly enhancing the reliability and robustness of PDA systems.…”
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Fatigue life prediction and stresses applicability of TBCs by the virtual S-N curve method by Changcheng Xie, Chao Ma, Changhao Wang, Yudong Yao, Pinbo Huang

“…Then, the solution method for the morphology- related stresses at interface of the axisymmetric TBCs finite element model is derived. Finally, the errors of different stresses for TBCs life prediction are analyzed in conjunction with the particle swarm algorithm, and the stress with the best applicability is identified and verified experimentally. …”
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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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Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations by Chuanwu Zhao, Haishuo Wei, Gudina Legese Feyisa, Thiaggo de Castro Tayer, Gelilan Ma, Hanyi Wu, Yaozhong Pan

“…Common issues include misidentification in high-reflectance backgrounds (e.g., buildings and snow), low-reflectance backgrounds (e.g., shadows), and omission errors for water bodies with high chlorophyll content. …”
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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

“…At the same time, there is a tendency for the error to decrease with increasing area of the object: from 225 m2 to 14400 m2, for the first case, the error decreased from –14.6 % to –2.6 %, and for the second case, it changed from –9.3 % to 14.6 %, respectively. …”
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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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