Results 71 to 80 of about 87,928 (288)

Diagnosis of Alzheimer’s Disease using Wrapper Feature Selection Method

open access: yesKorean Institute of Smart Media, 2023
Alzheimer’s disease (AD) symptoms are being treated by early diagnosis, where we can only slow the symptoms and research is still undergoing. In consideration, using T1-weighted images several classification models are proposed in Machine learning to identify AD.
Goo-Rak Kwon, Vyshnavi Ramineni
openaire   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

open access: yesAdvanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier   +17 more
wiley   +1 more source

Exposing Optimal Feature Sets for Enhancing Machine Learning Performance

open access: yesIEEE Access
The majority of high dimensional gene expression data contain a significant amount of redundant genes, posing challenges for machine learning algorithms due to their high dimensionality. Feature selection has shown to be a successful method for improving
Hiba Mohammed Al-Marwai   +2 more
doaj   +1 more source

Parameter Variation in Planetary Ball Milling of Titanium Aluminide Powder in XHV‐Adequate Atmosphere

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann   +4 more
wiley   +1 more source

Machine learning approach for Migraine Aura Complexity Score prediction based on magnetic resonance imaging data

open access: yesThe Journal of Headache and Pain, 2023
Background Previous studies have developed the Migraine Aura Complexity Score (MACS) system. MACS shows great potential in studying the complexity of migraine with aura (MwA) pathophysiology especially when implemented in neuroimaging studies. The use of
Katarina Mitrović   +4 more
doaj   +1 more source

Bioinspired Shape‐Memory Hook Fasteners With Programmable Interlocking and Silent Release

open access: yesAdvanced Engineering Materials, EarlyView.
Bioinspired hook fasteners made from epoxy shape‐memory polymers are shown to switch between strong, secure attachment and gentle, silent release when heated. By combining programmable geometry and material response, these adaptive fasteners outperform commercial systems in strength and noise control, enabling new solutions for robotics, medical ...
Maria I. Vallejo Ciro   +3 more
wiley   +1 more source

Wrapper-Based Feature Selection to Classify Flatfoot Disease

open access: yesIEEE Access
Musculoskeletal disorders of the foot are a common complaint in the population. It has been found a flatfoot prevalence of 13.6% in young adults and a prevalence of 26.62% in adults between 42 and 91 years. Different non-invasive techniques
Israel Miguel-Andres   +7 more
doaj   +1 more source

Prediction of progression in idiopathic pulmonary fibrosis using CT scans atbaseline: A quantum particle swarm optimization - Random forest approach [PDF]

open access: yes, 2019
Idiopathic pulmonary fibrosis (IPF) is a fatal lung disease characterized by an unpredictable progressive declinein lung function. Natural history of IPF is unknown and the prediction of disease progression at the time ofdiagnosis is notoriously ...
Brown, Matthew S.   +4 more
core  

A Machine Learning-Based Wrapper Method for Feature Selection

open access: yesInternational Journal of Data Warehousing and Mining
This paper presents a two-stage feature selection scheme using machine learning techniques. In the first stage a wrapper method is adopted to select various combinations of subsets of features from the original dataset. The performance of the model is evaluated by three classifiers: K-Nearest Neighbor (KNN), Support Vector Machines (SVM), and Random ...
Damodar Patel   +2 more
openaire   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

open access: yesAdvanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana   +2 more
wiley   +1 more source

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