Wearable Power Assistant Robot Sensor Signal Prediction Algorithm and Controller Design by Gang Li, Guoheng Ren

“…In order to realize the sensor signal prediction algorithm, we design the corresponding software and hardware system to realize the prediction algorithm. …”
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Efficient data-driven predictive control of nonlinear systems: A review and perspectives by Xiaojie Li, Mingxue Yan, Xuewen Zhang, Minghao Han, Adrian Wing-Keung Law, Xunyuan Yin

Subjects: “…Model predictive control…”
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On the Effectiveness of Graph Statistics of Shareholder Relation Network in Predicting Bond Default Risk by Zhiguo Huang

“…Starting from the theoretical effectiveness of shareholder relation network information for predicting bond default risk, we propose two efficient schemes for extracting two different graph statistics of shareholder relation networks: graph structure statistics and graph distance statistics. …”
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Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model by Qinglong Zhang, Boyu Yang, Yanwen Zhu, Chen Guo, Chong Jiao, Anmin Cai

“…With tunnel boring machines (TBMs) widely used in tunnel construction, the adaptable adjustment of TBM operating status has become a research focus. Since the prediction of tunnel geological conditions is still challenging before excavating, the prediction of important TBM operating parameters plays an important role in the research on TBM adaptable adjustment. …”
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Elevated ALOX12 in renal tissue predicts progression in diabetic kidney disease by Meixi Wang, Jingjing Wang, Jinni Wang, Yonggui Wu, Xiangming Qi

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Charlson syndrome index predicted survival in pancreatic cancer patients received immunotherapy by Nan Zhang, Nan Zhang, Shiyun Chen, Yue Shi, Zhikuan Wang, Ru Jia, Guanghai Dai, Guanghai Dai

“…Multivariate analysis revealed that high CCI was independently risk factor for both OS (HR=2.801, 95%CI: 1.433-5.472, p=0.003) and PFS (HR=2.546, 95%CI: 1.389-4.668, p=0.003).ConclusionThe CCI score serves as a significant independent predictive indicator for advanced pancreatic cancer patients received immunotherapy.…”
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Prediction of Air Quality Based on Hybrid Grey Double Exponential Smoothing Model by Zhicun Xu, Meng Dun, Lifeng Wu

“…A hybrid model with conformable fractional accumulation and adjacent accumulation is proposed to further improve the prediction accuracy. The hybrid model is applied to the prediction of AQI, PM2.5, and PM10. …”
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Development and validation of predictive models of early immune effector cell–associated hematotoxicity by Emily C. Liang, Jennifer J. Huang, Andrew J. Portuguese, Valentín Ortiz-Maldonado, Aya Albittar, Natalie Wuliji, Ryan Basom, Yein Jeon, Qian Wu, Aiko Torkelson, Delaney Kirchmeier, Abigail Chutnik, Barbara Pender, Mohamed Sorror, Joshua A. Hill, Noam E. Kopmar, Rahul Banerjee, Andrew J. Cowan, Damian Green, Ajay K. Gopal, Christina Poh, Mazyar Shadman, Alexandre V. Hirayama, Brian G. Till, Erik L. Kimble, Lorenzo Iovino, Aude G. Chapuis, Folashade Otegbeye, Ryan D. Cassaday, Filippo Milano, Cameron J. Turtle, David G. Maloney, Jordan Gauthier

“…To date, the factors associated with ICAHT are poorly characterized, and there is no validated predictive model of ICAHT as defined by current consensus criteria. …”
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Clinical Risk Score for Predicting Vascular Dementia after Ischemic Stroke in Thailand by Pornpatr A. Dharmasaroja, Thammanard Charernboon

“…The objective of the study was to develop a simple clinical risk score for predicting risk of vascular dementia in patients with ischemic stroke. …”
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A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

“…Financial bankruptcy prediction is crucial for financial institutions in assessing the financial health of companies and individuals. …”
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Severe deviation in protein fold prediction by advanced AI: a case study by Jacinto López-Sagaseta, Alejandro Urdiciain

“…Significant deviation between experimental structures and AI-predicted models echoes the presence of unusual conformations, insufficient training data and high complexity in protein folding that can ultimately lead to current limitations in protein structure prediction.…”
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A Typical Basalt Platform Landslide: Mechanism and Stability Prediction of Xiashan Landslide by Yongliang Huang, Zhiwei Sun, Chunyan Bao, Man Huang, Anyuan Li, Minghao Liu

“…On the basis of the geological conditions, present situation, and latest monitoring data of the landslide, this study finds that rainfall is the main influencing factor, and the creep mode is the main prediction mode of its subsequent deformation. The rainfall statistics of the landslide area in the past 30 years show that the rainfall and rainfall frequency in the landslide area display an increasing trend. …”
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A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events by Bao Guo, Hu Yang, Fan Zhang, Pu Wang

“…The developed model includes the trip-making prediction part and the trip attribute prediction part. …”
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ARMA Prediction of SBAS Ephemeris and Clock Corrections for Low Earth Orbiting Satellites by Jeongrae Kim, Mingyu Kim

“…The SBAS correction is only available within its service area, and the prediction of the SBAS corrections during the outage period can extend the coverage area. …”
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Prediction-Based Maintenance of Existing Bridges Using Neural Network and Sensitivity Analysis by Pengyong Miao

“…This study proposed a methodology to resolve these issues by integrating an artificial neural network (ANN) and sensitivity analysis method. The ANN was used to predict deterioration, and the sensitivity analysis method was applied to evaluate the influence of each factor on deterioration. …”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…This paper presents a short-term traffic prediction method, which takes the historical data of upstream points and prediction point itself and their spatial-temporal characteristics into consideration. …”
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Prediction of Metro Train-Induced Tunnel Vibrations Using Machine Learning Method by Zhuosheng Xu, Meng Ma, Zikai Zhou, Xintong Xie, Haoxiang Xie, Bolong Jiang, Zhongshuai Zhang

“…GRNN has relatively better predicting ability than BPNN.…”
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Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

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Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625 by A. S. Rajesh, M. S. Prabhuswamy, M. Rudra Naik

“…The regression analysis is used to develop an equation to predict the roughness. The impact of the processing factors on the machined surface is studied with help of ANOVA (Analysis of Variance). …”
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Application of Artificial Intelligence Models for Evapotranspiration Prediction along the Southern Coast of Turkey by Mohammed Majeed Hameed, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abd Kareem Khalaf, Wajdi Jaber Baniya, Ahmad Sharafati, Mohammed Abdulhakim AlSaadi

“…In this study, an efficient and local predictive model was established to forecast the monthly mean ETo t over Turkey based on the data collected from 35 locations. …”
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