A Rate-Distortion Optimized Coding Method for Region of Interest in Scalable Video Coding by Hongtao Wang, Dong Zhang, Houqiang Li

“…When background slices are discarded, the proposed method uses base layer information to generate the prediction signal of the enhancement layer. Thus, the temporal constraints can be loosened during the encoding process. …”
Get full text

Cytokines in Preterm Delivery: Proposal of a New Diagnostic Algorithm by Grzegorz Raba, Jacek Tabarkiewicz

“…Predicting preterm delivery within 7 days is very important for the proper timing of glucocorticosteroid administration. …”
Get full text

Many Local Pattern Texture Features: Which Is Better for Image-Based Multilabel Human Protein Subcellular Localization Classification? by Fan Yang, Ying-Ying Xu, Hong-Bin Shen

“…Human protein subcellular location prediction can provide critical knowledge for understanding a protein’s function. …”
Get full text

Educational data mining in medical education: A five-level approach by Zohreh Khoshgoftar, Maryam Babaee, Arian K. Rouzbahani, Masomeh Kalantarion

“…EDM by extracting data makes it easier to describe and predict educational trends, which can guarantee the success of medical education more than before.…”
Get full text

Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations by Younghyun Lee, David K. Han, Hanseok Ko

“…The weak classifier of the proposed method produces real-valued predictions while that of the conventional Adaboost method produces integer valued predictions of +1 or −1. …”
Get full text

Prognostic Analysis of Driving Style: The Significance of Demographic and Cognitive Factors by Justina Slavinskienė, Auksė Endriulaitienė

“…An interactive, video-based hazard prediction test was used to evaluate road hazard perception skills. …”
Get full text

Social Media Public Opinion Detection Using Multimodal Natural Language Processing and Attention Mechanisms by Yanxia Dui, Hongchun Hu

“…The cross-modal fused features are incorporated into the classification layer, enabling sentiment prediction. Experimental testing on the IEMOCAP dataset demonstrates that the proposed model achieves an emotion recognition classification accuracy of 78.5% and an F1-score of 77.6%. …”
Get full text

Vibration Analysis of Typical Flat Plate Ship Structures Through a New Method by Shuo Li, Yuhang Tang, Jiangtao Liu, Haichao Li, Xuhong Miao

“…In order to provide a new tool for predicting the vibration wave energy distribution of typical flat plate structures, a new method for predicting the vibration wave energy distribution of a simple flat plate structure is proposed. …”
Get full text

Improved ML-Based Technique for Credit Card Scoring in Internet Financial Risk Control by Shuangshuang Fan, Yanbo Shen, Shengnan Peng

“…The results show that ML algorithm has a very significant advantage in the field of Internet financial risk control, it has more accurate prediction results and has no particularly strict assumptions and restrictions on data, and the process of processing data is more convenient and reliable. …”
Get full text

MULTI-OBJECTIVE RELIABILITY OPTIMIZATION DESIGN OF BOGIE FRAME BASED ON GA WEIGHTED NETWORK by WU GaoFeng, WU YaWen, ZHI PengPeng, LI YunQuan

“…The results show that there is a better uniformity of prediction results between improved model and test sample. …”
Get full text

Thermodynamic modeling of calcium sulfate hemihydrate formed from seawater and concentrated brine at elevated temperature by Ali Al-Hamzah, Caillan J. Fellows, Christopher M. Fellows

“…From these an analytical expression is determined for predicting the supersaturation index (SI) under these conditions to simplify the task of MSF plant operators, SI = 61.5891–0.4783 ln(TDS) + 0.3223 (ln(TDS))2–31.7890 ln(T) + 3.7977 (ln(T))2…”
Get full text

Discriminating the adulteration of varieties and misrepresentation of vintages of Pu’er tea based on Fourier transform near infrared diffuse reflectance spectroscopy by Zhenfa Yang, Zhenfa Yang, Xiaoping Lu, Lucheng Chen

“…For vintage identification, the accuracy, precision, recall, and F1-score of the RBFNN model for the prediction set were 99.2%, 98.2%, 98.0%, and 98.0%, respectively. …”
Get full text

Identification of Working Trucks and Critical Path Nodes for Construction Waste Transportation Based on Electric Waybills: A Case Study of Shenzhen, China by Jun Bi, Qiuyue Sai, Fujun Wang, Yakun Chen

“…First, several machine learning methods are used to improve the prediction accuracy of electric waybill generation, where the garbage truck recorded on the electric waybill is regarded as a working truck. …”
Get full text

Survival Analysis by Penalized Regression and Matrix Factorization by Yeuntyng Lai, Morihiro Hayashida, Tatsuya Akutsu

“…We found that the performance of survival prediction has been improved with lower logrank P values. …”
Get full text

A dimension reduction assisted credit scoring method for big data with categorical features by Tatjana Miljkovic, Pei Wang

“…First, in the presence of a large number of variables, the DRA-CS method results in greater dimension reduction and better prediction accuracy than the other methods used for dimension reduction. …”
Get full text

Using Optimization Techniques on Mechanical Characteristics and Sustainability Assessment of Rubberized Concrete Blended with PVA Fiber Through Response Surface Methodology by Naraindas Bheel, Abhijeet Vidyadhar Baikerikar, Bashar S. Mohammed

“…Moreover, RSM was utilized to develop response prediction models with R2 coefficients ranged from 97 to 99%. …”
Get full text

A Variant in Is Associated with the Risk of Ankylosing Spondylitis in Koreans by Sung-Min Cho, Seung-Hyun Jung, Yeun-Jun Chung

“…These results will be helpful in elucidating the pathogenesis of AS and may be useful for developing AS risk prediction models in Koreans.…”
Get full text

Exploring the Energy Efficiency of Electric Vehicles with Driving Behavioral Data from a Field Test and Questionnaire by Kezhen Hu, Jianping Wu, Mingyu Liu

“…We also proposed an energy consumption prediction model with the fusion of collected driving parameters and DSQ data and the result is promising. …”
Get full text

Implication of Radon Monitoring for Earthquake Surveillance Using Statistical Techniques: A Case Study of Wenchuan Earthquake by Aftab Alam, Nanping Wang, Guofeng Zhao, Adnan Barkat

“…In a nutshell, the present study highlights the potential implications of earthquake-induced radon anomalies for earthquake prediction research.…”
Get full text

Massively parallel variant-to-function mapping determines functional regulatory variants of non-small cell lung cancer by Congcong Chen, Yang Li, Yayun Gu, Qiqi Zhai, Songwei Guo, Jun Xiang, Yuan Xie, Mingxing An, Chenmeijie Li, Na Qin, Yanan Shi, Liu Yang, Jun Zhou, Xianfeng Xu, Ziye Xu, Kai Wang, Meng Zhu, Yue Jiang, Yuanlin He, Jing Xu, Rong Yin, Liang Chen, Lin Xu, Juncheng Dai, Guangfu Jin, Zhibin Hu, Cheng Wang, Hongxia Ma, Hongbing Shen

“…We developed a modified polygenic risk score using the potential causal variants from Chinese populations, improving the performance of risk prediction in 450,821 Europeans from the UK Biobank. …”
Get full text