Results 111 to 120 of about 73,492 (280)

PENERAPAN NAIVE BAYES PADA INTRUSION DETECTION SYSTEM DENGAN DISKRITISASI VARIABEL

JUTI: Jurnal Ilmiah Teknologi Informasi, 2015
Intrusion Detection System (IDS) merupakan sebuah perangkat lunak atau perangkat keras yang dapat digunakan un-tuk mendeteksi adanya aktivitas yang tidak wajar dalam jaringan.
I Nyoman Trisna Wirawan, Ivan Eksistyanto   +1 more
doaj   +1 more source

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

An Investigation of Key Symptoms That Account for the Early Response Effect During Psychological Therapy for Eating Disorders

European Eating Disorders Review, EarlyView.
ABSTRACT Objective The early response effect, defined as a reliable symptomatic improvement during the initial phase of treatment, is the most robust predictor of recovery following eating disorder treatment. This study aimed to investigate which symptom domains mostly influence the early response effect. Methods Data from N = 232 adult patients (90.8%
Ammara Imtiaz, Caroline Bell, Glenn Waller, Jaime Delgadillo   +3 more
wiley   +1 more source

A COMBINATION DEEP BELIEF NETWORKS AND SHALLOW CLASSIFIER FOR SLEEP STAGE CLASSIFICATION

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, 2016
In this research, it is proposed to use Deep Belief Networks (DBN) in shallow classifier for the automatic sleep stage classification. The automatic classification is required to minimize Polysomnography examination time because it needs more than two ...
Intan Nurma Yulita, Rudi Rosadi, Sri Purwani, Rolly Maulana Awangga   +3 more
doaj   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Analisis Kinerja Smoothing pada Naive Bayes untuk Pengkategorian Soal Ujian

Jurnal Teknologi dan Manajemen Informatika, 2018
Cognitive domain taxonomy bloom is a reference to classify examination based on difficulty levels on education world, the result of  those categories will be used to compile a variety of exam questions.
Indah Listiowarni, Eka Rahayu Setyaningsih   +1 more
doaj   +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

Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier. [PDF]

Sensors (Basel), 2021
Alwateer M, Almars AM, Areed KN, Elhosseini MA, Haikal AY, Badawy M.   +5 more
europepmc   +1 more source

Functionally complementary bacterial inoculant coordinates arbuscular mycorrhizal fungi to improve Angelica sinensis root yield and quality

iMetaOmics, EarlyView.
Comprehensive understanding of how diverse PGPR strains enhance the rhizosphere microenvironment remains a considerable challenge. Here, we provide experimental evidence that a functionally synergistic composite microbial formulation can markedly enhance growth performance and improve the quality attributes in Angelica sinensis.
Zongyu Zhang, Yun Wang, Jiecai Zhao, Gaofeng Chen, Andéole Niyongabo Turatsinze, Liang Yue, Yuan Tian, Xiaofan Xie, Ailing Ye, Meilan Zhang, Lingling Wu, Zengxiang Guo, Yubao Zhang, Ruoyu Wang   +13 more
wiley   +1 more source

Towards applying internet of things and machine learning for the risk prediction of COVID-19 in pandemic situation using Naive Bayes classifier for improving accuracy. [PDF]

Mater Today Proc, 2022
Deepa N, Sathya Priya J, Devi T.
europepmc   +1 more source