Inicio  /  Applied System Innovation  /  Vol: 6 Par: 6 (2023)  /  Artículo
ARTÍCULO
TITULO

Prediction of Changes in Blood Parameters Induced by Low-Frequency Ultrasound

Vytautas Ostasevicius    
Agne Paulauskaite-Taraseviciene    
Vaiva Lesauskaite    
Vytautas Jurenas    
Vacis Tatarunas    
Edgaras Stankevicius    
Agile Tunaityte    
Mantas Venslauskas and Laura Kizauskiene    

Resumen

No disponible

 Artículos similares

       
 
Dandan Liu, Yaowen Chang, Lei Sun, Yunpeng Wang, Jiayu Guo, Luyue Xu, Xia Liu and Zhaofei Fan    
Uncovering the complex periodic variations in soil moisture can provide a significant reference for climate prediction and hydrological process simulation. We used wavelet analysis to quantify and identify the multi-scale periodic variations of soil mois... ver más
Revista: Water

 
Luis Adán Félix-Salazar, Emigdio Marín-Enríquez, Eugenio Alberto Aragón-Noriega and Jorge Saul Ramirez-Perez    
During the last 50 years, the increase in the efforts of the longline fleet in the Eastern Pacific Ocean (EPO) resulted in an increase in the capture of the swordfish Xiphias gladius. We analyzed a historical database of swordfish catches (1980?2020) rep... ver más

 
Sai Wang, Guoping Fu, Yongduo Song, Jing Wen, Tuanqi Guo, Hongjin Zhang and Tuantuan Wang    
The development of intelligent oceans requires exploration and an understanding of the various characteristics of the oceans. The emerging Internet of Underwater Things (IoUT) is an extension of the Internet of Things (IoT) to underwater environments, an... ver más

 
Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma    
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for... ver más
Revista: Applied Sciences

 
Minghu Wu, Chengpeng Yue, Fan Zhang, Rui Sun, Jing Tang, Sheng Hu, Nan Zhao and Juan Wang    
The state of health (SOH) and remaining useful life (RUL) of lithium-ion batteries are critical indicators for assessing battery reliability and safety management. However, these two indicators are difficult to measure directly, posing a challenge to ens... ver más
Revista: Applied Sciences