An Analysis Method for Time-, Frequency-, and Energy-Domain Characteristics of Downhole Microseismic Signals and Its Application by Xiao-xu Gao, Xiang-xu Pan, Guang-an Zhu

“…The analysis method is used for the No. 3307 working face of a certain mine to realize the prediction on a buried fault in the middle part of the working face, and it is validated to have a favorable effect.…”
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Time and frequency domain models for multiaxial fatigue life estimation under random loading by Andrea Carpinteri, Andrea Spagnoli, Camilla Ronchei, Sabrina Vantadori

“…A comparison in terms of fatigue life prediction by employing a time domain methods, previously proposed by the authors, is also performed.…”
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Analysis of Adsorption Data of Nitrogen and Carbon Dioxide on Chemically-Activated Carbons from Cherry and Wild Cherry Stones by considering Different Approaches Based on Different... by M.N. Alaya, M.A. Hourieh, F. El-Sejariah, A.M. Youssef

“…Micropores should be classified into ultrafine pores, micropores and super-micropores, such sub-division helping in the prediction of the adsorption behaviour and in the interpretation of the data derived therefrom.…”
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Optimization of the Marketing Management System Based on Cloud Computing and Big Data by Lin Zhang

“…This paper introduces data mining technology to the marketing business based on the practical use and design IT solutions for precision marketing, attribute selection tools, attribute analysis tools, modeling prediction tools, and others. This paper introduces a precision marketing system based on data mining technology. …”
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Biochemical Bone Turnover Markers and Osteoporosis in Older Men: Where Are We? by Pawel Szulc

“…Limited data from the cohort studies suggest that BTM measurement does not improve the prediction of fragility fractures in older men in comparison with age, BMD, history of falls and fragility fractures. …”
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Research on Channel Optimization of Ads-B Aviation Target Surveillance Radar Based on Improved Filtering Algorithm by Xiaoxia Zheng, Bin Tang, Hongping Pu

“…Moreover, this paper uses algorithm improvement to ensure the positive definite or semipositive definiteness of the state covariance and uses the root mean square volume Kalman filter to avoid the filter divergence or tracking interruption caused by the nonpositive definiteness of the matrix; the filtering principle of the interactive multimodel is to use multiple filters for parallel processing and achieve the adaptive adjustment algorithm residual error by adjusting the one-step prediction covariance in the adjustment algorithm. In addition, this paper combines the actual needs to construct a system functional structure to optimize the channel of the ADS-B aviation target surveillance radar and uses software engineering methods to model and analyze the requirements. …”
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Trend of mobile communication market pattern under the reform of industry co-competition by Su DIAO, Cheng JIANG

“…In October 2019, with the nationwide implementation of mobile number portability, MIIT and SASAC strengthened industry competition supervision and initiated the industry co-competition of the three major telecom operators in China.The short-term development trend of China mobile communications market was predicted by utilizing Markov chain model to analyze the changes in the market share of mobile communication market, and the state transition probability matrixes before and after the change of the industry’s competitive environment caused by regulatory policies were innovatively compared.The study shows that the impact of industry co-competition reform is greater the nationwide implementation of MNP, the probability of mobile users to lock-in has increased.According to the prediction of the state transition probability matrix after industry co-competition, China Telecom’s mobile market share will increase, while China Mobile and China Unicom Mobile’s market share will decline in the short and medium term.However, China Mobile will continue to maintain its dominant position.To accelerate 5G high-quality development and open up a new pattern in the mobile communication market, the industry co-competition environment needs to be further optimized to strengthen regulatory policy, 5Gco-construction, and operation management.…”
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Adipokines Pathogenesis in Heart Failure by Fozia Bibi, Ayesha Aslam, Hooria Naseem, Huma Khurshid, Ali Haider, Habiba Ashraf, Saira Rafaqat

“…Further studies are necessary to determine whether FGF21 plays a causal role in HF, and whether measuring circulating FGF21 might effectively improve HF prediction, diagnosis, and prognosis. Osteopontin has also been reported to be upregulated in patients with HF and therefore might potentially serve as a novel prognostic biomarker in patients with chronic HF. …”
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An Analysis of the Economic Impact of US Presidential Elections Based on Principal Component and Logical Regression by Jing-Jing Wang, Yan Liang, Jin-Tao Su, Jia-Ming Zhu

“…At the same time, the future economic development of the United States and China based on the time series prediction model is forecast and analyzed, respectively. …”
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Analysis and Control of Fractional Order Generalized Lorenz Chaotic System by Using Finite Time Synchronization by Yan Cui, Hongjun He, Guan Sun, Chenhui Lu

“…We also found that the equilibrium point generated by the fractional order system belongs to the unstable saddle point through the prediction correction method and the fractional order stability theory. …”
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Forecasting long-time dynamics in quantum many-body systems by dynamic mode decomposition by Ryui Kaneko, Masatoshi Imada, Yoshiyuki Kabashima, Tomi Ohtsuki

“…We find that a few percentages of noise do not affect the prediction accuracy destructively.…”
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STUDY ON TWO-SCALE UNIFIED CONSTITUTIVE MODEL AND DAMPING MECHANISM OF RUBBER CONVEYOR BELT WITH STEEL WIRE ROPE CORE by LI JianGang, FENG JinPing, WANG Xin, LIU SiYuan, GAO ZhongJie, WU JianJun

“…The universality of this model is verified by the method of simulation and prediction. This study provides a theoretical basis for the structural optimization and energy-saving analysis of conveyor belt.…”
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Estimating the Physical Properties of Nanofluids Using a Connectionist Intelligent Model Known as Gaussian Process Regression Approach by Tzu-Chia Chen, Ali Thaeer Hammid, Avzal N. Akbarov, Kaveh Shariati, Mina Dinari, Mohammed Sardar Ali

“…This work aims to develop a robust machine learning model for the prediction of the relative viscosity of nanoparticles (NPs) including Al2O3, TiO2, SiO2, CuO, SiC, and Ag based on the most important input parameters affecting them covering the size, concentration, thickness of the interfacial layer, and intensive properties of NPs. …”
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Turbulent System Dynamics: An Introduction to Spectral Decomposition and External Forcing in Sobolev Spaces by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales

“…By elucidating the underlying mechanisms governing turbulent behavior, this study paves the way for improved modeling, prediction, and control of turbulent systems in various practical applications. …”
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An Improved Inverse Kinematics Solution for a Robot Arm Trajectory Using Multiple Adaptive Neuro-Fuzzy Inference Systems by Mohamad Reda A. Refaai

“…The data sets are then utilized to train and evaluate ANFIS models and choose the optimal models to develop MANFIS model. Thus, the prediction and experimental data are compared to assess the performance of the MANFIS model.…”
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On the System Entropy and Energy Dissipativity of Stochastic Systems and Their Application in Biological Systems by Bor-Sen Chen, Xiangyun Lin, Weihai Zhang, Tianshou Zhou

“…Finally, two numerical examples are demonstrated to verify theoretical prediction.…”
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Signatures of Plastic Instabilities and Strain Localization in Acoustic Emission Time-Series by Alexey Vinogradov

“…Understanding AE behavior across deformation stages offers valuable insights into improving material reliability and predicting failure.…”
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Risk Intelligence: Making Profit from Uncertainty in Data Processing System by Si Zheng, Xiangke Liao, Xiaodong Liu

“…To well address the issue, in this paper we design and implement RiskI, a profile-based prediction algorithm in conjunction with a riskaware task assignment algorithm, to accelerate task executions, taking the uncertainty nature of tasks into account. …”
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Neural Behavior Chain Learning of Mobile Robot Actions by Lejla Banjanovic-Mehmedovic, Dzenisan Golic, Fahrudin Mehmedovic, Jasna Havic

“…Last, using behavior learning through a noticed action chain, we can predict mobile robot behavior for a variety of similar tasks in similar environment. …”
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FATIGUE CRACK PROPAGATION TEST AND SIMULATION ANALYSIS OF CAST E-GRADE STEEL CT SPECIMEN by WANG Chao, ZHU Tao, XIAO ShouNe, LIU YuJie, YANG Bing, YANG GuangWu, YIN MinXuan, XU JingTao

“…Through further comparison and analysis of the reasons for the error between the test and the simulation,it is shown that the load amplitude is the main error factor,and the initial crack position,propagation rate parameters,and crack length parameters have little effect,so as to provide a reference for the prediction of three-dimensional fatigue crack propagation rules for complex structures.…”
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