|
|
|
|
|
Leon Kopitar, Iztok Fister, Jr. and Gregor Stiglic
Introduction: Type 2 diabetes mellitus is a major global health concern, but interpreting machine learning models for diagnosis remains challenging. This study investigates combining association rule mining with advanced natural language processing to im...
ver más
|
|
|
|
|
|
|
|
|
Takeshi Kojima and Tetsuya Yoshinaga
Recently, an extended family of power-divergence measures with two parameters was proposed together with an iterative reconstruction algorithm based on minimization of the divergence measure as an objective function of the reconstructed images for comput...
ver más
|
|
|
|
|
|
|
|
|
Hao Chen, Luming Liu, Yassine Amirat, Zhibin Zhou, Nadia A?t-Ahmed and Mohamed Benbouzid
Renewable energy generation is increasingly important due to serious energy issues. A Doubly Salient Permanent Magnet Generator (DSPMG) can be an interesting candidate for tidal stream renewable energy systems. However, the special structure makes the sy...
ver más
|
|
|
|
|
|
|
|
|
Juan L. López and José A. Vásquez-Coronel
Congestive heart failure carries immense importance in the realm of public health. This significance arises from its substantial influence on the number of lives lost, economic burdens, the potential for prevention, and the opportunity to enhance the wel...
ver más
|
|
|
|
|
|
|
|
|
Jihe Wang, Qingxian Jia and Dan Yu
The issue of active attitude fault-tolerant stabilization control for spacecrafts subject to actuator faults, inertia uncertainty, and external disturbances is investigated in this paper. To robustly and accurately reconstruct actuator faults, a novel mi...
ver más
|
|
|
|