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. …”
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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.…”
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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. …”
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Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings by Hyunwoo CHOO, Kyung Hyun LEE, Sungsoo HONG, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE

“… We evaluated ‘VITALCARE-SEPS’, a deep learning model for sepsis prediction, using the activity monitoring operator characteristics curve with two different scoring algorithms. …”
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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. …”
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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%. …”
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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. …”
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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. …”
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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. …”
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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…”
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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. …”
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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. …”
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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. …”
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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. …”
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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%. …”
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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.…”
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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. …”
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Research advances and applications of artificial intelligence in cardiac CT by Li-Miao Zou, Ke-Ting Xu, Yi-Ning Wang

“…AI has played an increasingly important role in the field of cardiac CT, from advanced image reconstruction to coronary stenosis and plaque analysis, predicting flow, and potentially better risk stratification and event prediction. …”
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Pushing the boundaries for fuel discovery with a multiview features fusion approach by Dehai Zhang, Di Zhao, Jiashu Liang, Yu Ma, Zheng Chen

“…This method uses the eight graph neural networks models as the basis of the multichannel network coordinator to extract the compound's molecular feature; also the functional groups in the compound are embedded with molecule weight as functional groups feature, and finally, combining the molecular view with the functional groups view for the prediction of compound flash point (FP). We used a data set consisting of 2200 hydrocarbons and oxygenated compounds for model training and testing. …”
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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.…”
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