Establishing predictive machine learning models for drug responses in patient derived cell culture by Abbi Abdel-Rehim, Oghenejokpeme Orhobor, Gareth Griffiths, Larisa Soldatova, Ross D. King

Get full text

Sequencing the Barcelona‐MRI predictive model and Proclarix for improving the uncertain PI‐RADS 3 by Juan Morote, Ana Celma, Olga Méndez, Enrique Trilla

Get full text

Collective predictive coding as model of science: formalizing scientific activities towards generative science by Tadahiro Taniguchi, Shiro Takagi, Jun Otsuka, Yusuke Hayashi, Hiro Taiyo Hamada

Subjects: Get full text

Construction and validation of a predictive model for suicidal ideation in non-psychiatric elderly inpatients by Shuyun Xiong, Dongxu Si, Meizhu Ding, Cuiying Tang, Jinling Zhu, Danni Li, Ying Lei, Lexian Huang, Xiaohua Chen, Jicai Chen

“…Data were processed utilizing machine learning algorithms, and predictive models were developed using multiple logistic regression, Nomogram, and Random Forest models. …”
Get full text

Predictive values of brain age models to rTMS effects in neurocognitive disorder with depression by Hanna LU

Get full text

Topological analysis and predictive modeling of amino acid structures with implications for bioinformatics and structural biology by Huili Li, Anisa Naeem, Shamaila Yousaf, Adnan Aslam, Fairouz Tchier, Keneni Abera Tola

“…The findings reveal novel insights into the structural determinants of amino acid properties and present efficient predictive models for various attributes. This research contributes towards better understanding amino acid structures and offers practical applications in bioinformatics, drug design, and structural biology, enhancing the ability to manipulate and comprehend the molecular world.…”
Get full text

Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control by Vassilios Yfantis, Achim Wagner, Martin Ruskowski

Subjects: “…Distributed model predictive control…”
Get full text

Type 2 Diabetes in Taiwan: Unmasking Influential Factors Through Advanced Predictive Modeling by Shih-Tsung Chang, Ying-Hsiang Chou, Oswald Ndi Nfor, Ji-Han Zhong, Chien-Ning Huang, Yung-Po Liaw

“…Overall, the random forest and ensemble classifiers emerge as the most effective models, especially in mixed and female categories, highlighting their robustness in predictive performance.…”
Get full text

Reducing the Environmental Impact of Sewer Network Overflows Using Model Predictive Control Strategy by I. Vasiliev, L. Luca, M. Barbu, R. Vilanova, S. Caraman

Subjects: Get full text

Cancer predictive model derived from bioimpedance measurements using machine learning methods by José Luis García Bello, Taira Batista Luna, Agustín Garzón Carbonell, Ana de la Caridad Román Montoya, Alcibíades Lara Lafargue, Héctor Manuel Camué Ciria, Yohandys A. Zulueta

“…The cubic support vector machine model shows great accuracy predicting the nutritional status based on body mass index of both healthy and cancer patients. …”
Get full text

Model Predictive Control of Adaptive Irrigation Decisions Incorporating Rainfall Intensity and Soil Properties by Ao Liu, Dongbao Zhao, Yichang Wei

Subjects: Get full text

Regression-based predictive modelling of software size of fintech projects using technical specifications by Iqra Kanwal, Ali Afzal Malik

Subjects: Get full text

Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

Subjects: Get full text

Investigating surgical risk in coronary artery disease: Utilizing ordinal regression for predictive modeling by Hewir Abdulqadir Khidir, Azhin Mohammed Khudhur, Dler Hussein Kadir, Nozad H. Mahmood, Dlshad Mahmood Saleh

“…In this study, an ordinal regression model with a Negative Log-log link function was used to predict the likelihood of having multiple blocked arteries based on various clinical and lifestyle factors. …”
Get full text

Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…This study contributes to advancing predictive modeling techniques for optimizing CRCP infrastructure management and durability.…”
Get full text

Predictive Modeling of Phenolic Adsorption from Yerba Mate Extract on Commercial Activated Carbon by Marina L. Kienteca, Matheus S. T. Arantes, Myriam Lorena N. Cerutti, Vitor R. Silva

“…This study explores the adsorption of phenolic compounds from yerba mate extract onto activated carbon, employing batch kinetic analysis and predictive modeling. Using the three-factor-three-level Box-Behnken experimental design, variables such as temperature (25, 35, 45 ºC), initial phenolic concentration (25, 50, 75 mg TPC/L), and adsorbent mass-to-liquid volume ratio (0.5, 1, 1.5) were examined. …”
Get full text

Quality Enhancement of Dar Crude Oil Pre-processing Using Model Predictive Control by Mohamed A. Rahim, Omnia Hassan, Mohammed A.S. Ahmed

“…Thus, to implement a control system that guarantees high control efficiency with less energy and heat consumption, the first and second-stage separators in Central Processing Facilities (CPFs) operated with conventional PID controllers are replaced with a higher layer of Model Predictive Controller (MPC). In this paper, Aspen HYSYS software is used to characterize the Dar blend in the Sudanese oil field. …”
Get full text

Tube-Based Robust Model Predictive Control for Autonomous Vehicle with Complex Road Scenarios by Yang Chen, Youping Sun, Junming Li, Jiangmei He, Chengwei He

Subjects: Get full text

H∞ filtering of uncertain predictive models: Gain computation using LMI and performance evaluation by Eli G. Pale Ramon, Oscar G. Ibarra-Manzano, José A. Andrade-Lucio, Yuriy S. Shmaliy

“…The filter is designed for processes represented in discrete time using the forward Euler method, which allows for predictive modeling. Since the error covariance of a state estimator is a quadratic function of K, a new theorem is proved and a numerical algorithm is developed for computing K using linear matrix inequality (LMI). …”
Get full text

Predictive modelling of hospital-acquired infection in acute ischemic stroke using machine learning by Chun-Wei Chang, Chien-Hung Chang, Chia-Yin Chien, Jian-Lin Jiang, Tsai-Wei Liu, Hsiu-Chuan Wu, Kuo-Hsuan Chang

“…Abstract Hospital-acquired infections (HAIs) are serious complication for patients with acute ischemic stroke (AIS), often resulting in poor functional outcomes. However, no existing model can specifically predict HAI in AIS patients. …”
Get full text