Results 111 to 120 of about 40,856 (264)

Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning

open access: yesJournal of Multidisciplinary Healthcare, 2021
Abdulrhman Fahad Aljouie,1,2 Ahmed Almazroa,2,3 Yahya Bokhari,1,2 Mohammed Alawad,1,2 Ebrahim Mahmoud,4 Eman Alawad,4 Ali Alsehawi,5 Mamoon Rashid,1,2 Lamya Alomair,1,2 Shahad Almozaai,6 Bedoor Albesher,6 Hassan Alomaish,5 Rayyan Daghistani,5 Naif Khalaf
Aljouie AF   +16 more
doaj  

Reconstructing post‐crisis recovery in the hinterlands of Constantinople: A high‐resolution first‐millennium CE pollen record from Lake Yeniçağa (NW Türkiye)

open access: yesJournal of Quaternary Science, EarlyView.
ABSTRACT Facing a novel plague pandemic, military invasions, and political–economic transformations, societies of the eastern Roman (Byzantine) empire had to adapt to a variety of pressures and new ways of exploiting their natural environments during the mid‐1st millennium CE.
Cristiano Vignola   +7 more
wiley   +1 more source

SMOTE-D, Una versión determinista de SMOTE

open access: yes, 2017
En diferentes aplicaciones prácticas es común que se presente desbalance entre clases. Este problema aparece cuando la cantidad de objetos en una clase es mucho menor que en la otra. Esta diferencia en el tamaño de las clases causa que los métodos de clasificación favorezcan a la clase con mayor cantidad de objetos (mayoritaria), produciendo un mal ...
openaire   +1 more source

Exploring portable NIR spectroscopy in transmittance and reflectance modes for the authentication of Brazilian coffees with geographical indications

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Geographical indications (GIs) certify the link between coffee origin and quality, enabling premium pricing and protecting producers. However, the high market value of GI coffees increases their vulnerability to fraud, underscoring the need for reliable and practical authentication methods.
Leticia Tessaro   +4 more
wiley   +1 more source

Contrasted habitat selection among Eurasian curlew populations according to landscape heterogeneity and breeding stage

open access: yesThe Journal of Wildlife Management, EarlyView.
This study aimed to quantify the spatio‐temporal use of breeding environments by the Eurasian curlew in 5 contrasting agricultural landscapes. To this end, 64 individuals were tagged with GPS devices to assess their space use according to their breeding stages and define their foraging habitat selection.
Marie Donnez   +15 more
wiley   +1 more source

Deep learning of wrist accelerometry from UK Biobank data identifies early movement signatures of knee osteoarthritis up to 5 years before diagnosis

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose This study aims to test whether week‐long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people with knee osteoarthritis (KOA), (ii) separate prodromal KOA from established KOA, and (iii) identify individuals who will receive a KOA diagnosis within 5 years.
Ricardo Smits Serena   +6 more
wiley   +1 more source

Klasifikasi Data Tak Seimbang menggunakan Algoritma Random Forest dengan SMOTE dan SMOTE-ENN (Studi Kasus pada Data Stunting)

open access: yesJurnal Riset Sistem dan Teknologi Informasi
Algoritma random forest merupakan salah satu metode klasifikasi pembelajaran mesin yang banyak digunakan karena memiliki keunggulan dalam mengurangi resiko overfitting sekaligus meningkatkan kinerja prediksi secara umum. Namun untuk data dengan kelas tidak seimbang, algoritma ini tidak mampu mencapai performa maksimal khususnya dalam memprediksi data ...
null Anju Fauziah, null Julan Hernadi
openaire   +1 more source

PNNL‐TUNAMELT: Toward automating the detection of interactions with marine energy devices using acoustic camera sensors

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Acoustic cameras, or imaging sonars, are often used to monitor marine energy sites in regions where the water is too dark or turbid for optical sensing. To do so more effectively, scientists are investigating automated detection methodologies to use on these data.
Theodore Nowak   +2 more
wiley   +1 more source

Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa

open access: yesJambura Journal of Mathematics
The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation,
Umar D. Akor   +2 more
doaj   +1 more source

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility

open access: yesMacromolecular Rapid Communications, EarlyView.
The performance of machine learning models for classifying polymer solubility improves when a high‐fidelity experimental dataset is used compared to a low‐fidelity experimental dataset. This has important implications for justifying the value of spending additional time and resources preparing detailed experimental datasets.
Mona Amrihesari   +3 more
wiley   +1 more source

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