Predicting Noise and User Distances from Spectrum Sensing Signals Using Transformer and Regression Models by Myke Valadão, Diego Amoedo, André Costa, Celso Carvalho, Waldir Sabino

“…This paper proposes a method for predicting noise levels and distances based on spectrum sensing signals using regression machine learning models. …”
Get full text

Combined stochastic modelling of pathogenic and spoilage microorganisms by Nikola Maciejewska, Constantine‐Richard Stefanou, Leonardos Stathas, Konstantinos Koutsoumanis

Get full text

Prediction of vaccination coverage levels in populations with increasing levels of heterogeneity by Fan Bai

“…Heterogeneity of population is a key factor in modelling the transmission of disease among the population and has huge impact on the outcome of the transmission. …”
Get full text

Predicting pathogen evolution and immune evasion in the age of artificial intelligence by D.J. Hamelin, M. Scicluna, I. Saadie, F. Mostefai, J.C. Grenier, C. Baron, E. Caron, J.G. Hussin

“…Because of this, a long-standing yet challenging objective has been to forecast viral evolution by predicting potentially harmful viral mutations prior to their emergence. …”
Get full text

Neural Network Technologies in Predicting the Operating Status of Agricultural Enterprises by Aleksandr V. Grachev

Get full text

Prediction and design of thermostable proteins with a desired melting temperature by Purva Tijare, Nishant Kumar, Gajendra P. S. Raghava

Subjects: Get full text

Downscaling for Rainfall Prediction in the Aburrá River Valley and its Supplying Watersheds in Antioquia (Colombia) Using Non-Homogeneous Hidden Markov Models by Diego Felipe Osorio Giraldo, Luis Fernando Carvajal Serna, Juli´án David Rojo Hernández

Get full text

Frailty risk prediction models in maintenance hemodialysis patients: a systematic review and meta-analysis of model performance and methodological quality by Zihan Chen, Lidan Zhu, Caixia Ma, Juanjuan Li, Le Liu, Wenyi Xiao, Yurong Ge

Subjects: Get full text

Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

Subjects: Get full text

Operator-agnostic and real-time usable psychophysiological models of trust, workload, and situation awareness by Erin E. Richardson, Jacob R. Kintz, Savannah L. Buchner, Torin K. Clark, Allison P. Hayman

Subjects: Get full text

Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

“…A new model interpretability was assessed using explainability techniques, which allowed for the identification of specific learning patterns. …”
Get full text

Application of Machine Learning Models in Social Sciences: Managing Nonlinear Relationships by Theodoros Kyriazos, Mary Poga

Subjects: Get full text

Trip Generation Models for Transportation Impact Analyses of Shopping Centers in Croatia by Deana Breški, Biljana Maljković, Mihaela Senjak

Subjects: Get full text

Validation of ARIC heart failure risk score in an Asian population: Results from the CORE-Thailand registry by Nichanan Osataphan, Ply Chichareon, Wanwarang Wongcharoen, Krit Leemasawat, Narawudt Prasertwitayakij, Pannipa Suwannasom, Siriluck Gunaparn, Kasem Rattanasumawong, Rungroj Krittayaphong, Arintaya Phrommintikul

Subjects: Get full text

Machine Learning Approaches for Early Detection of Ossification of Posterior Longitudinal Ligament in Health Screening Settings by Ryo Mizukoshi, Ryosuke Maruiwa, Keitaro Ito, Norihiro Isogai, Haruki Funao, Retsu Fujita, Mitsuru Yagi

Subjects: Get full text

Integration of single cell and bulk transcriptomes identifies T cell stress subtypes in LUAD by Shengping Min, Linfeng Pan, Xinyu Zhang, Huili Chen, Lixuan Qiu, Xinyu Wang, Yiluo Xie, Kai Zhang, Qiang Zhang, Chaoqun Lian, Jing Zhang

Subjects: Get full text

Humanoid Motion Generation in Complex 3D Environments by Diego Marussi, Michele Cipriano, Nicola Scianca, Leonardo Lanari, Giuseppe Oriolo

Subjects: Get full text

A preliminary nomogram model for predicting relapse of patients with primary membranous nephropathy by Min Li, Huifang Wang, Xiaoying Lai, Dandan Guo, Chunhui Jiang, Zixuan Fu, Xuemei Liu

Subjects: Get full text

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

Construction and verification of a risk factor prediction model for neonatal severe pneumonia by Weihua Gong, Kaijie Gao, Jiajia Ni, Ying Shi, Zhiming Shan, Hongqi Sun, Shanshan Wang, Jiangtao Xu, Junmei Yang

Subjects: Get full text