Risk factors for early diagnosis and prediction model development of of neonatal ABO-HDFN by ZHANG Wenhua, LIU Dan, ZHANG Wenting, LING Jing

Subjects: Get full text

Developing new machine-learning intelligent models to predict the excavation-tunnel displacements by Abdollah Tabaroei, Muhand Jawad Jasim, Ali Mohammed Al-Araji, Amir Hossein Vakili

“…Finally in the third part, based on the simulation results two models developed for predict and validate the $${\delta }_{hrm}$$ , $${\delta }_{vm}$$ , $${\delta }_{htm}$$ and $${\delta }_{vtm}$$ values. …”
Get full text

Malicious traffic prediction model for ResNet based on Maple-IDS dataset. by Qingfeng Li, Boyu Wang, Xueyan Wen, Yuao Chen

“…However, the imbalance among various attack categories diminishes the accuracy of model predictions. To address this issue, we propose the Maple-IDS dataset as an innovative solution. …”
Get full text

Prediction of seepage flow through earthfill dams using machine learning models by Issam Rehamnia, Ahmed Mohammed Sami Al-Janabi, Saad Sh. Sammen, Binh Thai Pham, Indra Prakash

“…Moreover, including the periodicity factors improves prediction accuracy of the machine learning models.…”
Get full text

Automated Cardiac Disease Prediction Using Composite GAN and DeepLab Model by Sohail Jabbar, Umar Raza, Muhammad Asif Habib, Muhammad Farhan, Saqib Saeed

“…However, constraints like limited annotation and model generalization persist. We introduce GenDeep, a novel framework integrating an unsupervised Generative Adversarial Network (GAN) and DeepLab model for robust cardiac pathology classification from cine-MRI scans. …”
Get full text

NBA Results Forecast: From League Dynamics Analysis to Predictive Model Implementation by Rodrigues F, Pires F

“…The methodology followed the CRISP-DM process, involving data preprocessing, feature selection, and model evaluation.…”
Get full text

KGPM: A Knowledge-Guided Predictive Model for Virtual Metering in Gas Wells by Jinman Li, Yang Lin, Chuangfeng An, Xiang Li, Tianhao Xiao, Luyao Hou, Jianing Qi, Jing Gong

Get full text

NSPLformer: exploration of non-stationary progressively learning model for time series prediction by Sun Jiaxing, Li Yanhui, Zhao Yuying

Subjects: “…Times series prediction…”
Get full text

The Effect of Temperature on Intestinal Flora Imbalance Based on Time Series Prediction Model by Jing Zhu, Yafei Xue, Shuyuan Yang

“…Based on the sequence information of historical temperature change parameters, a temperature prediction device based on time series model is proposed. …”
Get full text

Prediction Model of Moisture Field Migration in Subgrade Soil under Rainfall Conditions by WANG Kangyu, YE Jiahuan, WANG Chengquan

“…Accurately characterizing the spatiotemporal distribution pattern of water content field and the prediction modeling of its moisture field migration mechanism is a key prerequisite for promoting slope stability evaluation methods and optimizing geological disaster prevention strategies. …”
Get full text

TBM Net Advance Rate Prediction Model Based on Ridge Regression Analysis by SHI Jian, ZHANG Shilin, FAN Zuosong, KONG Desen

Subjects: “…tbm net advance rate prediction model…”
Get full text

Development of the treatment prediction model in the artificial intelligence in depression – medication enhancement study by David Benrimoh, Caitrin Armstrong, Joseph Mehltretter, Robert Fratila, Kelly Perlman, Sonia Israel, Adam Kapelner, Sagar V. Parikh, Jordan F. Karp, Katherine Heller, Gustavo Turecki

“…We predict probabilities of remission across multiple pharmacological treatments, validate model predictions, and examine them for biases. …”
Get full text

A structural equation modeling of predictive factors of mathematics undergraduates academic achievement by Oluwanife Segun Falebita, Akorede A. Asanre, Admire Chibisa

“…In this study, we assess the factors that predict the academic achievement of mathematics undergraduates through structural equation model (SEM).MethodsA survey was conducted with a sample of 411 randomly selected undergraduates from the Department of Mathematics in public universities in Southwestern Nigeria who were studying mathematical science or mathematics education. …”
Get full text

Letter: the limitations of gene set-based predictive models: a critical assessment by Lijing Yang, Wenbo Zhao, Min Jiang, Xianqiang Liu

Get full text

Multimodal fusion for athlete state prediction leveraging XLNet and deep generative models by Yafeng Feng, Yong Sun, Chengfang Hang

“…A multilayer perceptron and AdaBoost ensemble are employed for comprehensive feature fusion and state prediction. Experimental results show that our model achieves a significant improvement in classification accuracy, with a 12% increase in emotional state recognition compared to traditional models, and a 15% reduction in prediction error for physiological state estimation. …”
Get full text

Prediction of the burst pressure for defective pipelines using different semi-empirical models by S. Budhe, M.D. Banea, S. de Barros

“…The main aim of this work is to predict the theoretical burst pressure of defective pipelines using different semi-empirical models and compare them with the hydrostatic test results. …”
Get full text

PEMFC RUL Prediction for Non-Stationary Time Series Based on Crossformer Model by Ning Zhou, He Zeng, Zefei Zheng, Ke Wang, Jianxin Zhou

“…In this paper, we propose a PEMFC RUL prediction model based on the Crossformer for non-stationary time series (De-stationary-Crossformer). …”
Get full text

Hybrid Intelligence Model Based on Image Features for the Prediction of Flotation Concentrate Grade by YaLin Wang, XiaoFang Chen, XiaoLing Zhou, WeiHua Gui, Louis Caccetta, Honglei Xu

“…In flotation processes, concentrate grade is the key production index but is difficult to be measured online. The mechanism models reflect the basic tendency of concentrate grade changes but cannot provide adequate prediction precision. …”
Get full text

Analysis of the 50-mile ultramarathon distance using a predictive XGBoost model by Jonas Turnwald, David Valero, Pedro Forte, Katja Weiss, Elias Villiger, Mabliny Thuany, Volker Scheer, Matthias Wilhelm, Marilia Andrade, Ivan Cuk, Pantelis T. Nikolaidis, Beat Knechtle

“…Model explainability tools, including model features relative importances and prediction distribution plots were then used to investigate how each feature affects the predicted race speed. …”
Get full text

NECOP Propagation Experiment: Rain-Rate Distributions Observations and Prediction Model Comparisons by J. S. Ojo, S. E. Falodun

“…The empirical distribution functions were compared with cumulative distribution functions generated using four different rain-rate distribution models. It is found that although each of the models shows similar qualitative features at lower exceedance of time, the characteristic at higher time percentages shows quantitative difference from the experimental data except the improved version of Moupfouma model. …”
Get full text