Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

Get full text

Beyond pain privacy and pain meters: a new vision for pain biomarkers by Charles Djordjevic, Charles Djordjevic, Carl Y. Saab, Carl Y. Saab, Carl Y. Saab

Get full text

Well control diagnosis model of underground gas storage in multi-cycle operation by ZHANG Siyuan, YANG Jiakun, SONG Lina, ZHOU Dongliang, HU Jun, XU Feng, SHI Yuxia, XU Hongcheng, PEI Gen, FAN Jiayi

Get full text

Ecological Momentary Assessment of emotional dysregulation and outbursts among youth with ADHD: a feasibility study of a biomarker-driven predictive algorithm in the special educat... by Ripudaman (Zeeba) Singh, Janav Panchal, Sami Ali, Beth Krone, Isaac J. Wert, Mark Owens, Mark Stein, Maulik V. Shah

Get full text

Enhancing construction safety management through multivariable grey model analysis and variable selection optimization by Jian Liu, Ye He, Rui Feng, Qinlin Chu

Get full text

Vortex-Induced Vibration Predictions of a Circular Cylinder Using an Efficient Pseudo-Time Code-Coupling Approach by Hang Li, Kivanc Ekici

Get full text

Deciphering Seasonal Patterns in Animal Feeding: A Mechanistic Approach to Analyzing the Restricted Growth of Iberian Pigs by Fernando Sánchez-Esquiliche, Chelo Ferreira, Rosa Nieto, Luisa Ramírez, Gema Matos, Ana Muniesa

Get full text

A Novel Approach for Evaluating Web Page Performance Based on Machine Learning Algorithms and Optimization Algorithms by Mohammad Ghattas, Antonio M. Mora, Suhail Odeh

Get full text

Designing the education model from the educational system of the Command University and the Headquarters of the Islamic Republic of Iran Army by Saeid Seyedi, Ali Mahdavi, mohamad reza sarmadi, Bahman Zandi

Get full text

Predicting Tumour Progression of ID-8 Syngeneic Mouse Ovarian Cancer with Blood Biomarkers of CA-125, IL-6 and VEGF: A Prospective Laboratory-Based Study by Kenny Chitcholtan, Arron Dyer, Peter Sykes

Get full text

Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Sh... by Lan Cao, Haoyu Yang, Chenggong Zhou, Shaochi Wang, Yingang Shen, Binxia Yuan

Get full text

Development and validation of a nomogram for predicting immune-related thyroid dysfunction during immunotherapy in non-small cell lung cancer: a prospective cohort study in China by Qianjie Xu, Yuliang Yuan, Xiaosheng Li, Lulu Wang, Wei Zhou, Zuhai Hu, Haike Lei, Yongzhong Wu

Get full text

Enhancing Agricultural Sustainability Through Intelligent Irrigation Using PVT Energy Applications: Implementing Hybrid Machine and Deep Learning Models by Youness El Mghouchi, Mihaela Tinca Udristioiu

Get full text

Predicción de la intención de ser físicamente activo del alumnado de Educación Física: un modelo mediado por la necesidad de novedad (Prediction of physical education students’ in... by Carlos Fernández-Espínola, Bartolomé J. Almagro, Javier A. Tamayo Fajardo

Get full text

A Deep Learning Model Using Transformer Network and Expert Optimizer for an Hour Ahead Wind Power Forecasting by Anushalini Thiyagarajan, B. Sri Revathi, Vishnu Suresh

Get full text

Numerical Analysis Used to Predict the Spread of COVID-19 in a Classroom: TecNM Campus Sur de Guanajuato Case Study by J. E. E. González-Durán, L. Estrada-Rojo, J. Ortega-Alejos, E. G. Blanco-Díaz, J. M. Olivares-Ramírez, J. M. García-Guendulain

Get full text

Research on Tool Wear Monitoring Technology Based on Variational Mode Decomposition and Back Propagation Neural Network Model by Kang Wang, Aimin Wang, Long Wu

Get full text

Do Fintech Lenders Align Pricing with Risk? Evidence from a Model-Based Assessment of Conforming Mortgages by Zilong Liu, Hongyan Liang

Get full text

Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches by Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani

Get full text

An interpretable deep learning framework using FCT-SMOTE and BO-TabNet algorithms for reservoir water sensitivity damage prediction by Yin-bo He, Ke-ming Sheng, Ming-liang Du, Guan-cheng Jiang, Teng-fei Dong, Lei Guo, Bo-tao Xu

Get full text