The Application of New Educational Concepts in Digital Educational Media by Chun Yang

“…Through the comparison and optimization of model performance, a more suitable prediction method was found. MSE, MAE, RMSE, and MAPE are used as performance evaluation indicators to compare the performance of each model. …”
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Construction of Online Agricultural Product Consumption Demand Analysis Model Based on Data Mining Technology by Xin Yi

“…Then, the online consumption demand prediction and analysis model of agricultural products was put forward. …”
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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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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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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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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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Peri-Ictal and Ictal Cognitive Dysfunction in Epilepsy by Lavanya Vijayaraghavan, Subbulakshmy Natarajan, Ennapadam Srinivas Krishnamoorthy

“…In-depth investigation of seizure related cognitive dysfunction is of great clinical relevance, as these changes are potentially reversible and treatable, thus reducing the cumulative effect of frequent seizures Greater knowledge of peri-ictal and ictal cognitive dysfunction would improve seizure prediction, localization of seizure focus and assessment of treatment effectiveness, greatly reducing distress and disability. …”
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A Novel Damage Detection Algorithm using Time-Series Analysis-Based Blind Source Separation by A. Sadhu, B. Hazra

“…Time-series analysis is then performed to characterize the mono-component modal responses and successively the resulting time-series models are utilized for one-step ahead prediction of the modal response. With the occurrence of newer measurements containing the signature of damaged system, a variance-based damage index is used to identify the damage instant. …”
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Orthodontically Induced External Apical Root Resorption in Class II Malocclusion by Praveen Kumar Reddy Karnati, Priyank Seth, Ahmad Termizi Bin Zamzuri, Payal Tharwani

“…Mostly, it is identified through routine radiographic stage records like orthopantomogram or certain prediction radiographs for root resorption probability assessment like in this case. …”
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