Results 121 to 130 of about 74,761 (297)

Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data

open access: yes, 2018
The Industrial Internet of Things drastically increases connectivity of devices in industrial applications. In addition to the benefits in efficiency, scalability and ease of use, this creates novel attack surfaces.
Ahrens, Lia   +3 more
core   +1 more source

Rhythms in longitudinal thalamic recordings are linked to seizure risk

open access: yesEpilepsia, EarlyView.
Abstract Objective Seizure unpredictability remains a major clinical challenge for people with epilepsy. Previous works have shown that seizure risk is associated with circadian and multi‐day cycles in both brain and physiological signals. However, it remains unclear whether neural activity from deep brain structures such as the anterior nucleus of the
Xinbing Zhang   +5 more
wiley   +1 more source

Development of a first order integrated moving average model corrupted with a Markov modulated convex combination of autoregressive moving average errors

open access: yesStatistical Theory and Related Fields, 2019
With a view to providing a tool to accurately model time series processes which may be corrupted with errors such as measurement, round-off and data aggregation, this study developed an integrated moving average (IMA) model with a transition matrix for ...
S. A. Komolafe   +3 more
doaj   +1 more source

An n‐of‐1 gene‐directed drug repurposing trial for an ultrarare genetic condition

open access: yesEpilepsia, EarlyView.
Abstract Objective Gain‐of‐function (GoF) variants in the KCNC1 potassium channel subunit gene (Kv3.1) cause motor/cognitive delays and hypotonia and have been associated with seizures. Fluoxetine has inhibitory effects on Kv3.1. However, open‐label nonrandomized administration is insufficient to guide clinical decision‐making in ultrarare conditions ...
Vedika Jha   +13 more
wiley   +1 more source

An investigation of income inequality through autoregressive integrated moving average and regression analysis

open access: yesHealthcare Analytics
Income inequality is a prominent contributor to health disparities in the U.S. As a leading capitalist nation, the U.S. registers the highest healthcare expenditure among developed countries yet grapples with widening income disparities.
John Wang   +3 more
doaj   +1 more source

Forecasting OPEC Crude Oil Price Using Fuzzy Autoregressive Integrated Moving Average (FARIMA) Model [PDF]

open access: yesPizhūhishnāmah-i Iqtiṣād-i Inirzhī-i Īrān, 2013
Crude oil prices are influenced by many factors. Inclusion of all these determinants in a single model is complex and inefficient. In this case, using time series approach might be appropriate.
mansoor zara nejad   +3 more
doaj  

A Comparison between Neural Networks and Traditional Forecasting Methods: A Case Study

open access: yesInternational Journal of Engineering Business Management, 2009
Forecasting accuracy drives the performance of inventory management. This study is to investigate and compare different forecasting methods like Moving Average (MA) and Autoregressive Integrated Moving Average (ARIMA) with Neural Networks (NN) models as ...
C. A. Mitrea, C. K. M. Lee, Z. Wu
doaj   +1 more source

Modelando a sazonalidade e o processo gerador da série de tempo do emprego rural no estado de São Paulo [PDF]

open access: yes
This paper used the X-12 method, seasonal unit root and Autoregressive Integrated Moving Average Model to identify and to model the generator process of rural employment in the state of São Paulo in the period from January 1996 to December 2006.
Fredo, Carlos Eduardo   +1 more
core   +1 more source

Analisis Peramalan Permintaan Produk Indomie Di PT Indofood CBP Sukses Makmur TBK Divisi Noodle [PDF]

open access: yes, 2019
PT Indofood CBP Sukses Makmur Tbk Division Noodle, there are many kinds of instant noodle products produced by one of them is Indomie. Indomie products are divided into many types of indomie products.
Setiadi, Aprilianto
core  

Research on the Impact of Power Industry Agglomeration on the Development of Energy Industry—Empirical Evidence From China's Provincial Panel

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Under the background of Global Climate Governance and “double carbon” goals, power industry agglomeration is an important path to promote the development of energy industry, and its mechanism and impact effect need to be further explored.
Tanbo Zhu, Wei Bu
wiley   +1 more source

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