Masked autoencoder of multi-scale convolution strategy combined with knowledge distillation for facial beauty prediction by Junying Gan, Junling Xiong

“…Abstract Facial beauty prediction (FBP) is a leading area of research in artificial intelligence. …”
Get full text

Study on Prediction Model of Mechanical Parameters of Rock Frozen-Thawed Damage based on NMR Technology by Yanzhi Tai

“…The results show that the correlation coefficient of calibration set (R2cal) and validation set (R2val) of the PLSR and PCR prediction models are both greater than 0.9, and the residual prediction deviation (RPD) of each model is greater than 3, indicating that the established prediction models have good stability, small relative error, and high prediction accuracy. …”
Get full text

The Predictive Value of Growth Differentiation Factor-15 in Recurrence of Atrial Fibrillation after Catheter Ablation by Ying Wei, Shuwang Liu, Haiyi Yu, Yuan Zhang, Wei Gao, Ming Cui, Lei Li

Get full text

Predicting and Visualizing the Uncertainty Propagations in Traffic Assignments Model Using Monte Carlo Simulation Method by Mundher Seger, Lajos Kisgyörgy

“…The objective of this paper is to assist transport modellers in perceiving uncertainty in traffic assignment in the transport network, by building a new methodology to predict the traffic flow and compare predicted values to the real values or values calculated in analytical methods. …”
Get full text

IC-GraF: An Improved Clustering with Graph-Embedding-Based Features for Software Defect Prediction by Xuanye Wang, Lu Lu, Qingyan Tian, Haishan Lin

“…Software defect prediction (SDP) has been a prominent area of research in software engineering. …”
Get full text

Preoperative predictive factors of cystobiliary fistulas in liver hydatid cysts: results of a monocentric study by Mohamed Salah Jarrar, Ines Karmani, Mehdi Chahed, Malek Barka, Mohamed Hedi Mraidha, Radhouane Toumi, Ameni Beizig, Khayri Dhouioui, Sabri Youssef

Subjects: Get full text

Identification of Crotonylation Metabolism Signature Predicting Overall Survival for Clear Cell Renal Cell Carcinoma by Jie Zheng, Yingqing Liu, Kai Wei, Jiewu Shi, Lin Li, Xuefeng Jiang, Lingsong Tao

Get full text

Survival outcome prediction of esophageal squamous cell carcinoma patients based on radiomics and mutation signature by Ting Yan, Zhenpeng Yan, Guohui Chen, Songrui Xu, Chenxuan Wu, Qichao Zhou, Guolan Wang, Ying Li, Mengjiu Jia, Xiaofei Zhuang, Jie Yang, Lili Liu, Lu Wang, Qinglu Wu, Bin Wang, Tianyi Yan

“…Abstract Background The present study aimed to develop a nomogram model for predicting overall survival (OS) in esophageal squamous cell carcinoma (ESCC) patients. …”
Get full text

Predicted Infiltration for Sodic/Saline Soils from Reclaimed Coastal Areas: Sensitivity to Model Parameters by Dongdong Liu, Dongli She, Shuang’en Yu, Guangcheng Shao, Dan Chen

Get full text

Prediction of digestible energy requirement in growing finishing stage of pigs using machine learning models by Nibas Chandra Deb, Jayanta Kumar Basak, Sijan Karki, Elanchezhian Arulmozhi, Dae Yeong Kang, Niraj Tamrakar, Eun Wan Seo, Junghoo Kook, Myeong Yong Kang, Hyeon Tae Kim

“…Most importantly, the sensitivity analysis revealed that BW exerted the most significant impact on predicting DER among other variables. In conclusion, the study suggested that RFR model can precisely predict DER, offering valuable insights for pig farmers to enhance their understanding of DE management.…”
Get full text

Rapid Fluid Velocity Field Prediction in Microfluidic Mixers via Nine Grid Network Model by Qian Li, Yuwei Chen, Taotao Sun, Junchao Wang

“…To address this, we propose a nine-grid network (NGN) model theory with a centrally symmetric structure.The NGN uses a symmetric structure similar to a 3 × 3 grid to partition the fluid space to be predicted. Using this theory, we developed and trained an artificial neural network (ANN) to predict the fluid dynamics within microfluidic mixers. …”
Get full text

Causal Inference for Hypertension Prediction With Wearable E lectrocardiogram and P hotoplethysmogram Signals: Feasibility Study by Ke Gon g, Yifan Chen, Xinyue Song, Zhizhong Fu, Xiaorong Ding

“…Most previous studies predicted hypertension from ECG and PPG signals with extracted features that are correlated with hypertension. …”
Get full text

EEG-based brain age prediction in infants–toddlers: Implications for early detection of neurodevelopmental disorders by Winko W. An, Aprotim C. Bhowmik, Charles A. Nelson, Carol L. Wilkinson

“…Understanding these changes through the prediction of chronological age using neuroimaging can provide insights into typical and atypical brain development. …”
Get full text

Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

“…Accurate prediction of liquid chromatographic retention times is becoming increasingly important in nontargeted screening applications. …”
Get full text

Improving the Operational Methodology of Tropical Cyclone Seasonal Prediction in the Australian and the South Pacific Ocean Regions by J. S. Wijnands, K. Shelton, Y. Kuleshov

“…This paper investigates the use of support vector regression models and new explanatory variables to improve the accuracy of seasonal TC predictions. Correlation analysis and subsequent cross-validation of the generated models showed that the Dipole Mode Index (DMI) performs well as an explanatory variable for TC prediction in both AR and SPO, Niño4 SST anomalies—in AR and Niño1+2 SST anomalies—in SPO. …”
Get full text

Fatigue failure mechanisms and life prediction of additive manufactured metallic lattices: a comprehensive review by Hao Xin, Dingcheng Tang, Linwei Dang, Lei Gao, Zhenyu Yang, Bin Wu, Xiaofan He, Zhixin Zhan

Subjects: Get full text

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients by Zhaoyue Yan, Yushuai Gao, Jinliang Yu, Zhiyuan Shen, Xingyao Bu

“…We constructed a signature composed of eight IRRGs for gliomas, which could effectively predict survival and guide decision-making for treatment.…”
Get full text

Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks by Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng

“…Sensitivity analysis was conducted to optimize the prediction performance of the CNN-BiLSTM-Attention hybrid neural network method, resulting in a significant improvement in MAPE and enhancing the accuracy of ship motion prediction. …”
Get full text

Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks by Peisheng Yang, Xiaohua Xu, Meilan Shao, Yewei Liu

Subjects: Get full text

Evaluating combinations of rainfall datasets and optimization techniques for improved hydrological predictions using the SWAT+ model by Mahesh R. Tapas, Randall Etheridge, Thanh-Nhan-Duc Tran, Manh-Hung Le, Brian Hinckley, Van Tam Nguyen, Venkataraman Lakshmi

“…The combination of the GPM IMERG dataset and the GLUE method proved most effective, offering valuable guidance for selecting optimal datasets and methods to enhance prediction accuracy in complex watersheds.…”
Get full text