A Rapid and Nondestructive Quality Detection Approach for Yongchuan Xiuya Tea Based on NIRS and siPLS-ANN Method by Ying Zhang, Jie Wang, Xiuhong Wu, Rui Chang, Hongyu Luo, Juan Yang, Quan Wu, Ze Xu, Yingfu Zhong

“…Utilizing a tanh activation function, the model exhibited strong predictive performance: an Rp² of 0.980 and RMSEP of 0.341 for prediction set samples, and an Rp² of 0.978 with RMSEP of 0.373 for unknown samples. …”
Get full text

Remote sensing-based winter wheat yield estimation integrating machine learning and crop growth multi-scenario simulations by Xin Du, Jiong Zhu, Jingyuan Xu, Qiangzi Li, Zui Tao, Yuan Zhang, Hongyan Wang, Haoxuan Hu

“…Accurate and timely winter wheat yield prediction is critical for effective agricultural management and food security. …”
Get full text

DNA Quality Assessment for Array CGH by Isothermal Whole Genome Amplification by Tineke E. Buffart, Marianne Tijssen, Thijs Krugers, Beatriz Carvalho, Serge J. Smeets, Ruud H. Brakenhoff, Heike Grabsch, Gerrit A. Meijer, Henry B. Sadowski, Bauke Ylstra

“…Due to the high experimental costs of array CGH and unreliable methods for DNA quality testing, better prediction methods are needed. The aim of this study was to accurately determine the quality of FFPE DNA input in order to predict quality of array CGH outcome. …”
Get full text

Machine learning Hubbard parameters with equivariant neural networks by Martin Uhrin, Austin Zadoks, Luca Binci, Nicola Marzari, Iurii Timrov

“…In practice, these are obtained either by semi-empirical tuning, requiring prior knowledge, or, more correctly, by using predictive but expensive first-principles calculations. …”
Get full text

Bayesian Inference on the Shape Parameter and Future Observation of Exponentiated Family of Distributions by Sanku Dey, Sudhansu S. Maiti

“…We have also considered the highest posterior density (HPD) intervals for the parameter and the equal-tail and HPD prediction intervals for future observation. Finally, we analyze one data set for illustration.…”
Get full text

Complex Dynamic Systems Theory in Second Language Acquisition: Exploring Concepts and Unpacking Constructs by Shan An, Ashley Beccia

“… In January 2000, Stephen Hawking predicted, “the next century will be the century of complexity” (Sanders, 2003). …”
Get full text

Color Image Landscape Photo Hand-Painted Effect Evaluation with PFA Algorithm by Shizhang Liu

“…Against the limitations of color image landscape, this article introduced the PFA algorithm, during the experiment of hand-painted landscape pictures, the effect of color hand-painted images is evaluated by using the coordination degree of natural target detection scene, and the corresponding image evaluation index values are obtained for effective analysis, and the prediction model is established. The simulation results show that the PFA algorithm is effective and can support the evaluation of the hand-painted effect of color landscape photos.…”
Get full text

On Possible Reduction of Equilibrium Radius of a Neutron Star Influenced by Superstrong Magnetic Field by Vladimir V. Skobelev

“…Therefore, we can make a prediction that in short-period pulsars, such fields can be observed. …”
Get full text

Labor Market Resource Allocation Optimization Based on Principal Component Analysis by Xiaojing Liu

“…Firstly, this paper collects and analyzes the data from 2011 to 2020, then screens out useful data, and predicts the relevant data of the three major industries in 2021 by the grey prediction method and curve fitting method. …”
Get full text

TRANSITION IN THE FRETTING PHENOMENON by Stefan GHIMISI

“…Obviously the partial slip transition develops the highest stress levels which can induce fatigue crack nucleation depending on the fatigue properties of the two contacting first bodies. Therefore prediction of the frontier between partial slip and gross slip is required. …”
Get full text

Estimating Time-Varying Beta of Price Limits and Its Applications in China Stock Market by Rongquan Bai, Zuoquan Zhang, Menggang Li

“…It uses China stock market trading data to estimate time-varying beta and researches on systemic risk in China stock market. By comparing prediction errors of market model, SS market model, and Censored-SS market model, it verifies the effectiveness of Censored-SS market model. …”
Get full text

INTEGRATING NEURAL NETWORKS INTO SHEET METAL FORMING: A REVIEW OF RECENT ADVANCES AND APPLICATIONS by COSMIN - CONSTANTIN GRIGORAȘ, ȘTEFAN COȘA, VALENTIN ZICHIL

“… In order to predict defects, improve performance, and streamline operations, machine learning techniques are becoming ever more indispensable in manufacturing processes, mainly in sheet metal forming. …”
Get full text

Damage modelling in concrete subject to sulfate attack by N. Cefis, C. Comi

“…The durability analysis of concrete structures in contact to external sulfate solutions requires the definition of a proper diffusion-reaction model, for the computation of the varying sulfate concentration and of the consequent ettringite formation, coupled to a mechanical model for the prediction of swelling and material degradation. In this work, we make use of a two-ions formulation of the reactive-diffusion problem and we propose a bi-phase chemo-elastic damage model aimed to simulate the mechanical response of concrete and apt to be used in structural analyses.…”
Get full text

RESEARCH ON TRAFFIC CONGESTION DETECTION FROM CAMERA IMAGES IN A LOCATION OF DA LAT by Nguyen Thi Luong

“…Many researchers are interested in traffic congestion detection and prediction. Traffic congestion occurs increasingly in many cities in Vietnam, including the city of Da Lat. …”
Get full text

Controlling the Shannon Entropy of Quantum Systems by Yifan Xing, Jun Wu

“…Simulations are done on both two- and three-dimensional quantum systems, where division and prediction are used to achieve more accurate tracking.…”
Get full text

Artificial intelligence in thrombosis: transformative potential and emerging challenges by Abdulrahman Al Raizah, Mshabab Alrizah

“…Artificial intelligence (AI) presents promising opportunities to enhance the diagnosis, prediction, and management of VTE. This review examines the transformative potential of AI in thrombosis care, highlighting both the potential benefits and the challenges that need to be addressed. …”
Get full text

Canadian Normal Lung Function Values by Nick R Anthonisen

“…In this issue of the Canadian Respiratory Journal, Gutierrez et al (pages 414-424) present normal lung function values and prediction equations for white Canadians. They had six laboratories across the country each test approximately 100 volunteer, nonsmoking white adults (the target was 120 each), with appropriate variation in age and sex. …”
Get full text

An Exponential Curve Model and Its Application in Forecasting Private Car Ownership of China by Kai Zuo, Hang Zuo, Xuege Zhang

“…To solve problems of modeling and prediction of nonstationary sequences caused by deterministic factors in the real world, a new type of exponential curve model with first-order polynomial term is proposed in this paper based on the classical exponential curve model and the modified exponential curve model. …”
Get full text

Multi-challenge aspects in fatigue due to the combined occurrence of multiaxiality, variable amplitude loading, and size effects by M. Vormwald

“…The three issues contribute to life prediction errors in a balanced way. Some modeling effort was spent in joining solution proposals in a unifying short crack model. …”
Get full text

Application of Wave Propagation to Pyroshock Analysis by M. Gherlone, D. Lomario, M. Mattone, R. Ruotolo

“…Pyroshocks are high frequency transients due to pyrotechnic devices used in aerospace engineering in order to deploy solar arrays and antennae, separate subsystems from the spacecraft or separate the spacecraft itself from the base stage booster; their prediction is usually complex and very time consuming.…”
Get full text