A Theoretical Approach to Predict the Fatigue Life of Flexible Pipes by José Renato M. de Sousa, Fernando J. M. de Sousa, Marcos Q. de Siqueira, Luís V. S. Sagrilo, Carlos Alberto D. de Lemos

Get full text

Anthropometric indexes for predicting high blood pressure in Turkish adults by Burcu Aksoy Canyolu, Nilüfer Şen, Beste Özben Sadıç

“…Purpose: It is controversial which anthropometric indexes are the best in predicting the risk of hypertension and how anthropometric measurements are related to blood pressure (BP). …”
Get full text

Prediction of electrical load demand using combined LHS with ANFIS. by Ahmed G Ismail, Sayed H A Elbanna, Hassan S Mohamed

“…Comparative analysis investigates performing various machine learning models, including Adaptive Neuro-Fuzzy Inference Systems (ANFIS) alone, and ANFIS combined with Latin Hypercube sampling (LHS), in predicting electrical load demand. The paper explores enhancing ANFIS through LHS compared with Monte Carlo (MC) method to improve predictive accuracy. …”
Get full text

Recent advances in explainable Machine Learning models for wildfire prediction by Abira Sengupta, Brendon J. Woodford

“…Machine Learning (ML) and Artificial Intelligence models have emerged to predict both the onset of wildfires and evaluate the extent of damage a wildfire would cause. …”
Get full text

Predicting retracted research: a dataset and machine learning approaches by Aaron H. A. Fletcher, Mark Stevenson

“…This study aimed to (1) create a dataset aggregating retraction information with bibliographic metadata, (2) train and evaluate various machine learning approaches to predict article retractions, and (3) assess each feature’s contribution to feature-based classifier performance using ablation studies. …”
Get full text

Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. …”
Get full text

Development of novel hybrid models for the prediction of Covid-19 in Kuwait by Ahmad Aldousari, Maria Qurban, Ijaz Hussain, Maha Al-Hajeri

“…It is concluded that the proposed framework for the prediction of conformed corona cases indicated better performance as compared to other existing methods.  …”
Get full text

Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength by Mohammad Saleh Nikoopayan Tak, Yanxiao Feng, Mohamed Mahgoub

“…The gradient boosting regressor (GBR) achieved the highest predictive accuracy with an R² value of 0.94. …”
Get full text

Predicting Quality of Multimedia Experience Using Electrocardiogram and Respiration Signals by Sowmya Vijayakumar, Ronan Flynn, Peter Corcoran, Niall Murray

“…Accurate and reliable methods of evaluating QoE are necessary, but they can be challenging due to their multidimensional nature. …”
Get full text

Indicator values for food shelf life prediction: A review by Teofilo Espinoza-Tellez, Roberto Quevedo-León, Oscar Diaz-Carrasco

“…This has motivated a progressive increase in studies that can determine the time at which the product can be safely consumed (shelf life). There are several methods for determining the shelf life of products; but regardless of the method used, the key is to know the minimum and/or maximum values of the indicators that define their deterioration. …”
Get full text

Application of continuum damage mechanics for prediction of wear in tillage tools by Sahar Ghatrehsamani, Mohammad Silani, Saleh Akbarzadeh, Shirin Ghatrehsamani

“…Many studies have primarily focused on experimental methods to better understand the impact of various parameters on tool wear during tilling operations. …”
Get full text

Relative importance of socioecological domains to predicting opioid-involved mortality. by Joshua C Black, Annika M Czizik

“…Community factors cumulatively had similar importance as individual drug-related factors in predicting opioid-involved deaths and were relatively more important in predicting opioid-involved mortality compared to non-drug involved mortality. …”
Get full text

Uncertainty-Aware Parking Prediction Using Bayesian Neural Networks by Alireza Nezhadettehad, Arkady Zaslavsky, Abdur Rakib, Seng W. Loke

“…Our approach leverages contextual features, including temporal and environmental factors, to enhance uncertainty-aware predictions. The framework is evaluated under varying data conditions, including data scarcity (90%, 50%, and 10% of training data) and synthetic noise injection to simulate aleatoric uncertainty. …”
Get full text

Pathogenic Factors of Bacterial Vaginitis and Construction of Nomogram Prediction Model by Xuqing Chen, Jing Li, Nanxiang Lei, Hui Liang

“…The selected risk factors were incorporated into the R software to establish a nomogram prediction model. The effectiveness of the proposed model was evaluated. …”
Get full text

Machine learning-enabled prediction of bone metastasis in esophageal cancer by Liqiang Liu, Wanshi Duan, Tao She, Shouzheng Ma, Haihui Wang, Jiakuan Chen

“…This study aimed to develop a machine learning algorithm to predict the risk of bone metastasis in esophageal cancer patients, thereby supporting clinical decision-making support.MethodsClinical and pathological data of esophageal cancer patients were obtained from the SEER database of the U.S. …”
Get full text

Nitric oxide as prediction factor of gingival inflammation in orthodontic patients by Janošević Predrag, Stojanović Ivana, Janošević Mirjana, Filipović Gordana, Stošić Maja

“…Methods. In this study, 30 patients of the Dental Clinic treated with fixed orthodontic appliances (11 males and 19 females), aged 15-22 years, were examined. …”
Get full text

The accuracy of the Candida Score® in predicting the likelihood of fungal sepsis in newborns by Johanes Edy Siswanto, Milda, Dewi Patriani, Boromeus Abyasa Daniswara, Christophorus Adi S. Pamungkas

“…Background Candidemia poses a significant health challenge in neonates. This study evaluates a modified version of the Candida Score to enhance early detection and guide antifungal therapy decisions.Objective To assess the accuracy of a revised Candida Score® that integrates thrombocytopenia and patient origin into the original parameters.Methods A retrospective case-control study was conducted at the Harapan Kita National Women and Children Health Centre (HKNWCHC) from 2017 to 2023. …”
Get full text

Preoperative Neutrophil Lymphocyte Ratio in Prediction of Adnexal Mass Torsion by Asmita Ghimire, Sailaja Ghimire, Asmita Shrestha, Samriddha Raj Pant, Nilam Subedi, Padam Raj Pant

“…Preoperative neutrophil-lymphocyte ratio can be a predictive marker for diagnosis of adnexal torsion and can differentiate it from untwisted unruptured ovarian cysts.…”
Get full text

Relational Knowledge Prediction via Dynamic Bi-Mode Embedding by Yang Fang, Xiang Zhao, Zhen Tan, Weidong Xiao

“…Moreover, we incorporate mapping matrices in translation models through bi-mode entity embedding to construct dynamic embeddings for expressing complex relations, such as “1-to-N”, “N-to-1,” and “N-to-N” relations. In experiments, we evaluate our method on the benchmark data sets and the task of link prediction, and our method is demonstrated to outperform state-of-the-art methods consistently and significantly.…”
Get full text

AI-driven prediction of bitterness and sweetness and analysis of receptor interactions by Hiroaki Iwata

“…To enhance model interpretability, we employed the Integrated Gradients method to visualize the molecular features influencing bitterness or sweetness predictions. …”
Get full text