Results 51 to 60 of about 83,293 (195)
Abstract Objective This study was undertaken to develop and validate a deep survival model (EEGSurvNet) that analyzes routine electroencephalography (EEG) to predict individual seizure risk over time, comparing its performance to traditional clinical predictors such as interictal epileptiform discharges (IEDs).
Émile Lemoine +5 more
wiley +1 more source
Texture Feature Extraction of Pathogen Microscopic Image Using Discrete Wavelet Transform
This study used a case study of Jabon leaves, and the pathogen is one of the causes of disease that attack the leaves of jabon, one of the leaf spots and leaf blight. Discovery of leaf spot disease in different pathogens and leaf blight. The pathogen was
Hasan Basri
doaj +1 more source
Unbalanced load flow with hybrid wavelet transform and support vector machine based Error-Correcting Output Codes for power quality disturbances classification including wind energy [PDF]
Purpose. The most common methods to designa multiclass classification consist to determine a set of binary classifiers and to combine them. In this paper support vector machine with Error-Correcting Output Codes (ECOC-SVM) classifier is proposed to ...
Bouktir, Tarek +2 more
core +3 more sources
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia +4 more
wiley +1 more source
Interplay Between Green Investment and Market Price Premia in Global Shipping
ABSTRACT Existing research emphasises that the driver of green investment is its future profitability. This paper shows that other investors' decisions also influence green investment. We take the example of scrubber installation in shipping, which is optional by regulation but has an established market for trading its underlying asset.
Yao Shi +4 more
wiley +1 more source
Robust Digital Watermarking on Vital Archives using Hybrid SVD and DWT Methods
The development of Internet technology affects the dissemination of data, especially in vital government archives. This research uses a hybrid singular value decomposition (SVD) and discrete wavelet transform (DWT) method, which aims to protect the ...
Alita Wulan Dini +2 more
doaj +1 more source
A Session based Multiple Image Hiding Technique using DWT and DCT
This work proposes Steganographic technique for hiding multiple images in a color image based on DWT and DCT. The cover image is decomposed into three separate color planes namely R, G and B. Individual planes are decomposed into subbands using DWT.
Bhattacharya, Tanmay +2 more
core +1 more source
Hubungan gaya pembelajaran dengan pencapaian akademik pelajar aliran vokasional [PDF]
Analisis keputusan Sijil Pelajaran Malaysia (SPM) 2011 menunjukkan penurunan pencapaian bagi Sekolah Menengah Vokasional. Oleh itu, kajian ini dilaksanakan bertujuan untuk mengkaji hubungan di antara gaya pembelajaran dengan pencapaian akademik ...
Anwar, Nurul Farahanaa
core +1 more source
ABSTRACT Objective The real‐world evidence on the association between glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) and cancer risk remains limited and mixed. Methods In 2013–2020 national Medicare claims data, we included cancer‐naïve patients with type 2 diabetes (T2D). We identified those who initiated GLP‐1 RA, sodium‐glucose cotransporter 2
Ying Lu +13 more
wiley +1 more source
3D medical volume segmentation using hybrid multiresolution statistical approaches [PDF]
This article is available through the Brunel Open Access Publishing Fund. Copyright © 2010 S AlZu’bi and A Amira.3D volume segmentation is the process of partitioning voxels into 3D regions (subvolumes) that represent meaningful physical entities which ...
Alzubi, S, Amira, A
core +2 more sources

