A Prediction-Correction Dynamic Method for Large-Scale Generalized Eigenvalue Problems by Xin-long Luo, Jia-ru Lin, Wei-ling Wu

“…This paper gives a new prediction-correction method based on the dynamical system of differential-algebraic equations for the smallest generalized eigenvalue problem. …”
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Predictive Control for Interval Type-2 Fuzzy System with Event-Triggered Scheme by Siyao Wang, Xiaoming Tang, Li Deng, Hongchun Qu, Linfeng Tian, Cheng Tan

“…In this paper, a synthesis approach of model predictive control (MPC) is proposed for interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy system with quantization error, bounded disturbance, and data loss. …”
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Ecological risk assessment and response prediction caused by LUCC in the central Yunnan Province by Yongdong Zhang, Zisheng Yang, Renyi Yang, Fuhua Liu, Yimei He, Linlin Cao, Jinrong Yang, Jiayi Zhang

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Analysis and Prediction of Hydraulic Support Load Based on Time Series Data Modeling by Yi-Hui Pang, Hong-Bo Wang, Jian-Jian Zhao, De-Yong Shang

“…Hydraulic support plays a key role in ground control of longwall mining. The smart prediction methods of support load are important for achieving intelligent mining. …”
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The diagnostic accuracy of umbilical cord procalcitonin in predicting early-onset neonatal infection by Thi Thanh Binh Nguyen, Diep Anh Truong Thi, Quang Vinh Truong, Thi Ny Pham

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Ebola outbreak in West Africa: real-time estimation and multiple-wave prediction by Xiang-Sheng Wang, Luoyi Zhong

“…From our simulation, we conclude that the first wave has passed its inflection point and predict that a second epidemic wave may appear in the near future.…”
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UB-LSTM: A Trajectory Prediction Method Combined with Vehicle Behavior Recognition by Haipeng Xiao, Chaoqun Wang, Zhixiong Li, Rendong Wang, Cao Bo, Miguel Angel Sotelo, Youchun Xu

“…In order to make an accurate prediction of vehicle trajectory in a dynamic environment, a Unidirectional and Bidirectional LSTM (UB-LSTM) vehicle trajectory prediction model combined with behavior recognition is proposed, and then an acceleration trajectory optimization algorithm is proposed. …”
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A Novel Approach of Label Construction for Predicting Remaining Useful Life of Machinery by Hailong Lin, Zihao Lei, Guangrui Wen, Xiaojun Tian, Xin Huang, Jinsong Liu, Haoxuan Zhou, Xuefeng Chen

“…Rolling bearings are key components of rotating machinery, and predicting the remaining useful life (RUL) is of great significance in practical industrial scenarios and is being increasingly studied. …”
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Prenatal depression level prediction using ensemble based deep learning model by Abinaya Gopalakrishnan, Xujuan Zhou, Revathi Venkataraman, Raj Gururajan, Ka Ching Chan, Guohun Zhu, Niall Higgins

“…Methods:: We explore the potential of employing EDA for Prenatal Depression prediction. The proposed model applies a novel method for motion artifacts followed by data labeling using PHQ-9 score values and LOOCV applied to train robustly. …”
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Prediction of Crack for Drilling Process on Alumina Using Neural Network and Taguchi Method by Kingsun Lee

“…Confirmation experiments showed that neural network precisely predicted the cracking area percentage in drilling of alumina.…”
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Chip Thickness and Microhardness Prediction Models during Turning of Medium Carbon Steel by S. A. Alrabii, L. Y. Zumot

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Interactions between ABC gene polymorphisms and processing speed in predicting depression severity by Meijiang Jin, Lei Ji, Maojia Ran, Yan Bi, Hang Zhang, Yuanmei Tao, Hanmei Xu, Shoukang Zou, Hong Zhang, Tao Yu, Li Yin

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['PREDICTIVE MODEL TO MINIMIZE THE EFFECT OF EXTREME TEMPERATURE IN SKARDU AND ASTORE, GILGIT BALTISTAN'] by Nasir Ali, Muhammad Ali, Hassan Hashim

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Networked Predictive Trajectory Tracking Control for Underactuated USV with Time-Varying Delays by Tao Lei, Yuanqiao Wen, Yi Yu, Minglong Zhang, Xin Xiong, Kang Tian

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Moisture Content on Methane Desorption Characteristics in Coal and Its Effect on Outburst Prediction by Peng Li, Yaolin Cao, Xuelong Li, Fakai Wang, Zhongguang Sun, Qinke Huang, Deyou Chen

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Failure prediction of T-peel adhesive joints by different cohesive laws and modelling approaches by Alessandro Pirondi

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Real-Time Prediction of the Trend of Ground Motion Intensity Based on Deep Learning by Tao Liu, Zhijun Dai

“…In order to predict the intensity of earthquake damage in advance and improve the effectiveness of earthquake emergency measures, this paper proposes a deep learning model for real-time prediction of the trend of ground motion intensity. …”
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Identification of Inflammatory Biomarkers for Predicting Peripheral Arterial Disease Prognosis in Patients with Diabetes by Kian Draper, Ben Li, Muzammil Syed, Farah Shaikh, Abdelrahman Zamzam, Batool Jamal Abuhalimeh, Kharram Rasheed, Houssam K. Younes, Rawand Abdin, Mohammad Qadura

“…The model was used and assessed for its ability to diagnose PAD, predict limb loss, predict major adverse limb events (MALEs), predict diabetic foot ulcers, and predict the need for vascular surgery. …”
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Empirical prediction intervals applied to short term mortality forecasts and excess deaths by Ricarda Duerst, Jonas Schöley

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The DTN Routing Algorithm Based on Markov Meeting Time Span Prediction Model by En Wang, Yongjian Yang, Bing Jia, Tingting Guo

“…In this paper, the meeting time span between nodes is predicted using the Markov model, and the relay node holding the shortest meeting time span with the destination node is determined as the most efficient node. …”
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