Results 171 to 180 of about 213,693 (303)

Prediksi Forex Dengan Metode Naïve Bayes [PDF]

open access: yes, 2011
Perdagangan forex merupakan investasi yang berisiko tinggi dan memiliki prospek yang tinggi. Berbagai kalangan berperan di dalamnya, mulai dari individu hingga perusahaan-perusahaan bertaraf internasional.
Abinajah, AnisPrabowoBasit
core  

Zinc oxide/polydimethylsiloxane‐coated carbon fiber yarns for machine‐learning‐assisted gait classification

open access: yesInfoScience, EarlyView.
Gait analysis can provide valuable information for identifying changes in movement associated with neurological disorders, thus serving as an important support tool in several areas, including healthcare and rehabilitation. In this study, zinc oxide/polydimethylsiloxane (ZnO/PDMS)‐coated carbon fiber yarns were developed and evaluated as pressure ...
Maria Morais   +10 more
wiley   +1 more source

Parametric design method of building structured cabling system oriented to data mining

open access: yesIET Networks, EarlyView., 2022
This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley   +1 more source

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

open access: yesJournal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira   +2 more
wiley   +1 more source

Early prediction of acute kidney injury in traumatic and non‐traumatic rhabdomyolysis using an interpretable machine learning model: A multicenter study with external validation

open access: yesJournal of Intelligent Medicine, EarlyView.
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu   +11 more
wiley   +1 more source

Explainable, Uncertainty‐Aware Machine Learning for Maize Land Suitability and Climate Resilience in Lorestan Province, Western Iran

open access: yesLand Degradation &Development, EarlyView.
ABSTRACT Maize (Zea mays L.) is strategically important in Iran, yet its cultivation in the semi‐arid Zagros is constrained by limited and variable water, heat stress and heterogeneous soils, while conventional suitability assessments are deterministic, rarely validated spatially and provide no measure of confidence.
Ahad Madani, Narges Shafaei Bajestani
wiley   +1 more source

Home - About - Disclaimer - Privacy