Theoretical Prediction of Ultrasonic Velocity in Binary Liquid Mixtures by Shaik. Babu

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Biomarkers to predict the outcomes of surgical intervention for aortic dissection by Abanob G. Hanna, Fabian Jimenez Contreras, Omar M. Sharaf, Griffin P. Stinson, Philip J. Hess

“…Methods Relevant biomarkers were selected if they had predictive value in inflammatory disease processes and/or cardiovascular disease. …”
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An Effective Methodology for Diabetes Prediction in the Case of Class Imbalance by Borislava Toleva, Ivan Atanasov, Ivan Ivanov, Vincent Hooper

“…Diabetes data are used not only for providing a deeper understanding of the treatment mechanisms but also for predicting the probability that one might become sick. …”
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Language Delay Is Not Predictable from Available Risk Factors by Philip Wilson, Fiona McQuaige, Lucy Thompson, Alex McConnachie

“…It is not possible to predict which children will have language delay at 30 months. …”
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Deep Learning Approaches for the Prediction of Protein Functional Sites by Borja Pitarch, Florencio Pazos

“…As a consequence, deep learning-based approaches are being applied to the prediction of different types of functional sites and regions in proteins. …”
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Predicting Quality of Service via Leveraging Location Information by Liang Chen, Fenfang Xie, Zibin Zheng, Yaoming Wu

“…Then, the inner product of various embedding vectors, along with the weighted sum of feature vectors, is used to predict the QoS values. It should be noted that the inner product operation could capture the interactions between services and users, which is helpful to predict QoS values of services that have not been invoked by users. …”
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Research and Application of the Beijing Road Traffic Prediction System by Ruimin Li, Hongliang Ma, Huapu Lu, Min Guo

“…The functions, function modules, and the data flow of the proposed traffic prediction system were analyzed, and subsequently prediction models used in this system are described. …”
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Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

“…<p>Trajectory planning has undergone remarkable strides in recent times, especially in the behavior prediction of traffic participants. Given that strong coupling conditions such as pedestrians, vehicles, and roads restrict the interactive behavior of autonomous vehicles and other traffic participants, it has become critical to design a trajectory prediction algorithm based on traffic scenarios for autonomous-driving technology. …”
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Retracted: Early Stroke Prediction Methods for Prevention of Strokes by Behavioural Neurology

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A Specific Algorithm Based on Motion Direction Prediction by Zhesen Chu, Min Li

“…In this paper, we study the estimation of motion direction prediction for fast motion and propose a threshold-based human target detection algorithm using motion vectors and other data as human target feature information. …”
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Present Evidence of Determinants to Predict the Efficacy of Renal Denervation by Hao Zhou, Yanping Xu, Weijie Chen, Liang Wang, Huaan Du, Hang Liu, Zhiyu Ling, Yuehui Yin

“…Herein, we comprehensively reviewed the research studies on how to make RDN more predictable or improve the efficacy of RDN and summarized these potential indicators or devices which might be applied in clinical settings.…”
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Predicting breast cancer recurrence using deep learning by Deepa Kumari, Mutyala Venkata Sai Subhash Naidu, Subhrakanta Panda, Jabez Christopher

“…This study introduces the BCR-HDL (Breast Cancer Recurrence using Hybrid Deep Learning) framework, a novel approach designed to predict breast cancer recurrence with high accuracy and interpretability. …”
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Compound Autoregressive Network for Prediction of Multivariate Time Series by Yuting Bai, Xuebo Jin, Xiaoyi Wang, Tingli Su, Jianlei Kong, Yutian Lu

“…The prediction information has effects on the emergency prevention and advanced control in various complex systems. …”
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GA-ARMA Model for Predicting IGS RTS Corrections by Mingyu Kim, Jeongrae Kim

“…The RTS orbit and clock corrections are predicted up to 900 s via the GA-ARMA model, and the prediction accuracies are compared with the results from a generic ARMA model. …”
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Efficient Model Predictive Algorithms for Tracking of Periodic Signals by Yun-Chung Chu, Michael Z. Q. Chen

“…This paper studies the design of efficient model predictive controllers for fast-sampling linear time-invariant systems subject to input constraints to track a set of periodic references. …”
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Prediction and Evaluation of Rockburst Based on Depth Neural Network by Jin Zhang, Mengxue Wang, Chuanhao Xi

“…The formation mechanism of rockburst is complex, and its prediction has always been a difficult problem in engineering. …”
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An Intelligent Gray Prediction Model Based on Fuzzy Theory by Weili Wu

“…In order to improve the forecasting effect of the gray prediction model, this paper combines the fuzzy theory to construct the gray prediction model and explores its forecasting accuracy. …”
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Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

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Blasting Vibration Law and Prediction in the Near-Field of Tunnel by Meng Wang, Weijie Ding, Dakai Zhao, Dianshu Liu, Lukai Wang, Tao Zhang, Tianlong Ling

“…Taking Zhaitang Tunnel, the New Line Expressway of China National Highway 109, as the engineering background, acceleration sensors were installed in the surrounding rock near the tunnel face to test the blasting vibration acceleration of the surrounding rock at the arch waist of the tunnel, to study the blasting vibration attenuation law near the large section tunnel, to modify traditional blasting vibration formula, and to improve the vibration prediction accuracy. The research will bring some guidance for the construction of similar projects.…”
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Traffic Accident Prediction Based on LSTM-GBRT Model by Zhihao Zhang, Wenzhong Yang, Silamu Wushour

“…This paper establishes a traffic accident prediction model based on LSTM-GBRT (long short-term memory, gradient boosted regression trees) and predicts traffic accident safety level indicators by training traffic accident-related data. …”
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