Enhancing Multi-Disease Prediction with Machine Learning: A Comparative Analysis and Hyperparameter Optimization Approach by Mariam Kili Bechir, Ferhat Atasoy

Get full text

Developing data driven framework to model earthquake induced liquefaction potential of granular terrain by machine learning classification models by Kennedy C. Onyelowe, Viroon Kamchoom, Tammineni Gnananandarao, Krishna P. Arunachalam

Get full text

IoT-Enabled Adaptive Watering System With ARIMA-Based Soil Moisture Prediction for Smart Agriculture by Muhammad Afzal, Iftikhar Ahmed Saeed, Muhammad Noman Sohail, Mohamad Hanif Md Saad, Mahidur R. Sarker

Get full text

Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

Get full text

Novel nomograms for predicting overall survival and cancer-specific survival in invasive lobular carcinoma of the breast by Xia Qiu, Baoxing Tian, Yifan Gu, Kai Yin, Ji Zhao, Jie Wang

Get full text

Predicting the compressive strength of polymer-infused bricks: A machine learning approach with SHAP interpretability by Sathvik Sharath Chandra, Rakesh Kumar, Archudha Arjunasamy, Sakshi Galagali, Adithya Tantri, Sujay Raghavendra Naganna

Get full text

Data-knowledge hybrid driven intelligent prediction method of tunnel excavation profiles geometric deformation by Ya Hu, Jingyi Lu, Jun Zhu, Huixin Zhang, Ying Ren, Jianlin Wu, Jianbo Lai, Heng Zhang, Hongyue Zhao, Xiang Zeng

Get full text

Artificial intelligence-based prediction of treatment failure and medication non-adherence in overactive bladder management by Mert Başaranoğlu, İsa Kamil Taşdemir, Erdem Akbay, Hasan Erdal Doruk

Get full text

PREDICTION OF LIVE WEIGHT THROUGH MORPHOMETRIC VARIABLES IN GOATS FROM BAJA CALIFORNIA SUR, MEXICO by Raul Avalos Castro, Jose Denis Osuna Amador, Noe Medina Cordova, Carlos Cabada Tavares, Jose C. Segura Correa

Get full text

Penaeus vannamei aquaculture water quality prediction based on the improved back propagation neural network by DING Jinting, ZANG Zelin, HUANG Min

Get full text

Rapid and Accurate Prediction of the Melting Point for Imidazolium-Based Ionic Liquids by Artificial Neural Network by Xinyu Liu, Jie Yin, Xinmiao Zhang, Wenxiang Qiu, Wei Jiang, Ming Zhang, Linhua Zhu, Hongping Li, Huaming Li

Get full text

HTSA-LSTM: Leveraging Driving Habits for Enhanced Long-Term Urban Traffic Trajectory Prediction by Yiying Wei, Xiangyu Zeng, Xirui Chen, Hui Zhang, Zhengan Yang, Zhicheng Li

Get full text

Prediction of Vanadium Contamination Distribution Pattern Through Remote Sensing Image Fusion and Machine Learning by Zipeng Zhao, Yuman Sun, Weiwei Jia, Jinyan Yang, Fan Wang

Get full text

Fracture Characteristics and Tensile Strength Prediction of Rock–Concrete Composite Discs Under Radial Compression by Tengfei Guo, Houqiang Wang, Xuefeng Si, Chengzhi Pu, Zhixiang Liu, Qi Zhang, Weijun Liu

Get full text

Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction by Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jiao

Get full text

Ensemble machine learning algorithm for anti-VEGF treatment efficacy prediction in diabetic macular edema by Yu Fang, Jianwei Lin, Peiwen Xie, Huishan Zhu, Tsz Kin Ng, Guihua Zhang

Get full text

Regularized win ratio regression for variable selection and risk prediction, with an application to a cardiovascular trial by Lu Mao

“…When applied to data from the HF-ACTION trial, the method identified prognostic variables and achieved superior predictive accuracy compared to regularized Cox models, as measured by overall and component-specific concordance indices. …”
Get full text

Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification by Héctor Climente-González, Min Oh, Urszula Chajewska, Roya Hosseini, Sudipto Mukherjee, Wei Gan, Matthew Traylor, Sile Hu, Ghazaleh Fatemifar, Jonas Ghouse, Paul Pangilinan Del Villar, Erik Vernet, Nils Koelling, Liang Du, Robin Abraham, Chuan Li, Joanna M. M. Howson

Get full text

Effects of different wearable sensors and locomotion tasks on machine learning-based joint moment prediction by Jonas Weber, Bernd J. Stetter

“…Other factors, such as task diversity, sample size, ML algorithms, and model evaluation, may have a greater impact on joint moment predictions than different wearable sensor-based model inputs. …”
Get full text

Early In-Hospital Mortality Prediction Based on xTimesNet and Time Series Interpretable Methods by Xueyan Wang, Zhengxing Yuan, Zhiqiu Yao, Youwei Yuan, Lanjun Luo

Get full text