Fuzzy goal programming approach for solving linear fractional programming problems with fuzzy conditions by Rajeev Prasad, Indrani Maiti, Sapan Das, Surapati Pramanik, Tarni Mandal

“…Predicting the exact outcome of a real-life problem, which may occur in various fields like the industrial or healthcare sector, is challenging. …”
Get full text

Quality Assurance of Total Carotenoids and Quercetin in Marigold Flowers (Tagetes erecta L.) as Edible Flowers by Kusumiyati Kusumiyati, Ine Elisa Putri, Yuda Hadiwijaya, Agitha Kartika, Yusuf Eka Maulana, Wawan Sutari

“…Based on the analysis results, the best accuracy values for TCC were as follows: the correlation coefficient of the calibration set (Rcal) was 0.94, the root mean square error of the calibration set (RMSEC) was 125.57, the correlation coefficient of the prediction set (Rpred) was 0.87, the root mean square error of the prediction set (RMSEP) was 129.35, and the ratio of prediction to deviation (RPD) was 2.77. …”
Get full text

MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features by Linshu Wang, Yuan Zhou

“…In this study, we propose a hybrid approach that fuses a pre-trained sequence representation with various sequence features to predict multiple types of RNA modifications in one combined prediction framework. …”
Get full text

Spatially Explicit Estimation of Clay and Organic Carbon Content in Agricultural Soils Using Multi-Annual Imaging Spectroscopy Data by Heike Gerighausen, Gunter Menz, Hermann Kaufmann

“…A comparison of parameter predictions from different years confirmed the predictive ability of the models. …”
Get full text

Limitations of Separating Athletes into High or Low-Risk Groups based on a Cut-Off. A Clinical Commentary by Justin M. Losciale, Linda K. Truong, Patrick Ward, Gary S. Collins, Garrett S. Bullock

“…A more accurate risk prediction will facilitate personalized approaches to injury risk mitigation and may lead to a decline in injury rates…”
Get full text

Online Measurement of Soil Organic Carbon as Correlated with Wheat Normalised Difference Vegetation Index in a Vertisol Field by Yücel Tekin, Yahya Ulusoy, Zeynal Tümsavaş, Abdul M. Mouazen

“…Calibration model of SOC in full cross-validationresulted in a good accuracy (R2=0.75, root mean squares error of prediction (RMSEP) = 0.17%, and ratio of prediction deviation (RPD) = 1.81). …”
Get full text

Assessments of F16 Special Sensor Microwave Imager and Sounder Antenna Temperatures at Lower Atmospheric Sounding Channels by Banghua Yan, Fuzhong Weng

“…After such SSMIS antenna temperatures are applied to the National Center for Environmental Prediction Numerical Weather Prediction (NWP) model, more satellite data is used and the analysis field of the geopotential height is significantly improved throughout troposphere and lower stratosphere. …”
Get full text

Vacuum Preconsolidation Settlement Characteristics and Microstructural Evolution of Marine Dredger-Filled Silt by Keping Chen, Xinkai Ren, Yong He, Muyuan Gan, Danwei Wu, Lianwei Chen

Get full text

Distinctive dust weather intensities in North China resulted from two types of atmospheric circulation anomalies by Q. Huo, Q. Huo, Z. Yin, Z. Yin, Z. Yin, X. Ma, X. Ma, H. Wang, H. Wang, H. Wang

“…These findings contribute to enhancing the comprehension of dust weather in NC and offer insights for both dust weather forecasting and climate prediction.</p>…”
Get full text

Forecast of Chemical Export Trade Based on PSO-BP Neural Network Model by Na Li, Meng Li

“…Although the traditional linear prediction method has the advantages of intuitiveness, simplicity, and strong interpretability, it is difficult to deal with the prediction problem of dynamic and complex nonlinear systems. …”
Get full text

Surface Damage Coupling Mechanism of Plain Weave Art Ceramic Matrix Composites by Guangsong Li

“…It is demonstrated that based on 0 and 45° off-axis tensile stress-strain behavior, a prediction model of off-axis tensile stress-strain behavior of the material was established, and the prediction results were in good agreement with the experimental results.…”
Get full text

Short-term load forecasting based on multi-frequency sequence feature analysis and multi-point modified FEDformer by Kaiyuan Hou, Xiaotian Zhang, Junjie Yang, Jiyun Hu, Guangzhi Yao, Jiannan Zhang

“…The filtered features are then input into the FEDformer model, providing preliminary short-term and long-term sequence prediction results. Finally, a point-by-point forecasting method based on a tree model generates multi-point load prediction results by training multiple LightGBM models. …”
Get full text

An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security by Mouaad Mohy-Eddine, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

“…RF-PCCIF and RF-IFPCC show noteworthy results with 99.98% and 99.99% Accuracy (ACC) and 6.18 s and 6.25 s prediction time on Bot-IoT, respectively. The two models also score 99.30% and 99.18% ACC and 6.71 s and 6.87 s prediction time on NF-UNSW-NB15-v2, respectively. …”
Get full text

An Elevated Maternal Plasma Soluble fms-Like Tyrosine Kinase-1 to Placental Growth Factor Ratio at Midtrimester Is a Useful Predictor for Preeclampsia by Mahmoud Fathy Hassan, Nancy Mohamed Ali Rund, Ahmed Husseiny Salama

“…To assess the ability of mid-trimester sFlt-1/PlGF ratio for prediction of preeclampsia in two different Arabic populations. …”
Get full text

Identification of an Immune Gene-Based Cisplatin Response Model and CD27 as a Therapeutic Target against Cisplatin Resistance for Ovarian Cancer by Ying Guo, Na Yang, Gang Li, Xiurong Yin, Lixia Dong

“…Herein, this study is aimed at establishing a cisplatin response prediction model for OV on the basis of immune genes. …”
Get full text

Detection of the Soluble Solid Contents from Fresh Jujubes during Different Maturation Periods Using NIR Hyperspectral Imaging and an Artificial Bee Colony by Haixia Sun, Shujuan Zhang, Caihong Chen, Chengji Li, Shuhai Xing, Jianglong Liu, Jianxin Xue

“…The determination coefficient (Rp2), the root-mean-square error (RMSEP), and the residual predictive deviation (RPD) of the prediction set for samples of the overall stages were 0.98, 1.10%, and 7.85, respectively. …”
Get full text

3D convolutional deep learning for nonlinear estimation of body composition from whole body morphology by Isaac Y. Tian, Jason Liu, Michael C. Wong, Nisa N. Kelly, Yong E. Liu, Andrea K. Garber, Steven B. Heymsfield, Brian Curless, John A. Shepherd

“…Abstract Body composition prediction from 3D optical imagery has previously been studied with linear algorithms. …”
Get full text

Experimental and Modeling Study of Soil Water Retention Curves of Compacted Bentonite considering Salt Solution Effects by Yong He, Ke-neng Zhang, Dong-yu Wu

Get full text

Improved Ozone Level Detection through Feature Selection with Modified Whale Optimization Algorithm by Li Yu Yab, Noorhaniza Wahid, Rahayu A Hamid

“…This study aims to enhance the accuracy and efficiency of ozone level prediction models by selecting the most informative features from the dataset. …”
Get full text

Single-cell transcriptomes reveal cell-type-specific and sample-specific gene function in human cancer by Huating Yuan, Xin Liang, Xinxin Zhang, Yu Cao

“…We also explored factors affecting the performance of gene function prediction. We found that 500 or more cells should be considered in the prediction with scRNA-seq, and that scRNA-seq datasets generated from 10x Genomics platform had a better performance than those from Smart-seq2. …”
Get full text