Results 51 to 60 of about 140,208 (262)
Massive Data Processing Method for Battery Energy Storage Power Stations Based on Rough Sets
During the operation of energy storage power stations with lithium-ion batteries, huge amounts of uploaded data and high-frequency data sampling increase the difficulty of online real-time evaluation. How to extract and compress effective data and ensure
Juan CHEN +4 more
doaj +1 more source
Abstract Background A routine baseline echocardiogram is often obtained prior to anthracycline administration in children with cancer. The utility of baseline echocardiogram is unclear in patients with standard risk B‐cell acute lymphoblastic leukemia (SR B‐ALL) as their anthracycline cumulative dose is low.
Ziyad Alrajhi +4 more
wiley +1 more source
Research on Multi-granularity Attribute Reduction Method for Continuous Parameters
To measure the degree of information granulation, granularity has attracted many researchers extensive attention in the field of granular computing. One of the important and widely accepted patterns is parameterized granularity.
WU Jiang, SONG Jingjing, CHENG Fuhao, WANG Pingxin, YANG Xibei
doaj +1 more source
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa +3 more
wiley +1 more source
ABSTRACT Introduction Adult‐onset Still's disease (AOSD) complicated by macrophage activation syndrome (MAS) carries substantial mortality. The role of therapeutic plasma exchange (TPE) remains uncertain. Methods We retrospectively analyzed patients with AOSD‐MAS treated with TPE at a single‐center.
Masataka Ueda +15 more
wiley +1 more source
Two‐step attribute reduction for AIoT networks
The evolution of Artificial Intelligence of Things (AIoT) pushes connectivity from human‐to‐things and things‐to‐things, to AI‐to‐things, has resulted in more complex physical networks and logical associations.
Chao Ren +5 more
doaj +1 more source
The Method of Data Analysis in Intuitionistic Fuzzy Generalized Consistent Decision Formal Context
Concept lattice has been successfully applied to various fields as an effective tool for data analysis and knowledge discovery, with attribute reduction being the key problem.
Binbin Sang +3 more
doaj +1 more source
Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Metric Based Attribute Reduction Method in Dynamic Decision Tables
Feature selection is a vital problem which needs to be effectively solved in knowledge discovery in databases and pattern recognition due to two basic reasons: minimizing costs and accurately classifying data.
Janos Demetrovics +3 more
doaj +1 more source
Neighborhood Attribute Reduction: A Multicriterion Strategy Based on Sample Selection
In the rough-set field, the objective of attribute reduction is to regulate the variations of measures by reducing redundant data attributes. However, most of the previous concepts of attribute reductions were designed by one and only one measure, which ...
Yuan Gao +3 more
doaj +1 more source

