Results 101 to 110 of about 48,962 (256)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Improved incremental algorithm of Naive Bayes

Tongxin xuebao, 2016
A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the ...
Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU   +3 more
doaj   +2 more sources

Naïve Bayes evidence accumulation K-modes clustering: A new method for classifying binary data and its application on real data of injecting drug users

Journal of Biostatistics and Epidemiology, 2018
Background & Aim: Clustering is the method of classifying discrete data such as Kmodes, and Naïve Bayes classifier is the classification to predict the unknown real classes.
Zahra Zamaninasab, Hamid Sharifi, Abbas Bahrampour   +2 more
doaj  

Implementasi Naive Bayes

Journal of Informatics, Information System, Software Engineering and Applications (INISTA), 2019
Perkembangan sektor industri yang semakin pesat dalam memenuhi kebutuhan hidup setiap harinya membutuhkan bahan kimia sebagai bahan utama dalam proses suatu produksi. Tidak sedikit dari bahan kimia tersebut mengandung zat berbahaya dan beracun yang dapat menimbulkan efek yang sangat membahayakan bagi lingkungan dan manusia.
openaire   +2 more sources

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

The spatial learning task of Lhermitte and Signoret: Marker of bilateral hippocampal dysfunction in temporal lobe epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Bilateral hippocampal compromise in temporal lobe epilepsy (TLE) substantially increases the risk of significant adverse memory outcomes following unilateral anterior temporal lobectomy and may contraindicate surgery. The Spatial Learning Task (SLT) of Lhermitte and Signoret (1972) is a simple object–location arbitrary associative ...
Andy Sitoh, David Weintrob, Jacqueline F. I. Anderson, Marie F. O'Shea, Graeme D. Jackson, Piero Perucca, Chris Tailby   +6 more
wiley   +1 more source

Fault‐Specific Diagnostic Regions Based on Normalized DC Voltage and Current Indices for Photovoltaic Systems Using Routine Inverter and Environmental Data

Energy Science &Engineering, EarlyView.
This study proposes a fault diagnostic approach for photovoltaic systems using normalized DC voltage and current indices derived from routinely collected inverter and environmental data. The approach enables string‐ and array‐level fault diagnosis without additional measurement equipment and supports operation and maintenance decision‐making.
Woo Gyun Shin, Jin Seok Lee, Young Chul Ju, Hye Mi Hwang, Jongchul Lim, Suk Whan Ko   +5 more
wiley   +1 more source

Diagnosis of bacteraemia in neonatal foals using 16S rRNA high‐throughput sequencing

Equine Veterinary Journal, EarlyView.
Abstract Background Sepsis is an important cause of morbidity and mortality in foals. Early diagnosis can improve outcome but is complicated by non‐specific clinical signs and delayed confirmation of infection via blood culture. Molecular assays represent a rapid and more sensitive alternative.
Flavie Payette, Alicia E. Long, Weiming Hu, Kyle Bittinger, Ahmed M. Moustafa, Darko Stefanovski, Michelle Abraham, Maia R. Aitken   +7 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

Geological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi, Ting Liu, Toshiro Hata, Rebecca Muenich   +3 more
wiley   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source