Results 31 to 40 of about 93,376 (303)

Fuzzy Supervised Multi-Period Time Series Forecasting

Cybernetics and Information Technologies, 2019
The goal of this paper is to propose a new method for fuzzy forecasting of time series with supervised learning and k-order fuzzy relationships. In the training phase based on k previous historical periods, a multidimensional matrix of fuzzy dependencies
Ilieva Galina
doaj   +1 more source

Recent Advances in Energy Time Series Forecasting

Energies, 2017
This editorial summarizes the performance of the special issue entitled Energy Time Series Forecasting, which was published in MDPI’s Energies journal. The special issue took place in 2016 and accepted a total of 21 papers from twelve different countries.
Francisco Martínez-Álvarez, Alicia Troncoso, José C. Riquelme   +2 more
doaj   +1 more source

TIME SERIES FORECASTING BY THE ARIMA METHOD

Scientific Journal of Astana IT University, 2022
The variety of communication services and the growing number of different sensors with the appearance of IoT (Internet of Things) technology generate significantly different types of network traffic.
Gulnara Bektemyssova, Abdul Rahim Ahmad, Sharafat Mirzakulova, Zhanar Ibraeva   +3 more
doaj   +1 more source

Emapalumab for Immune Effector Cell‐Associated Hemophagocytic Lymphohistiocytosis‐Like Syndrome Following CD19‐Directed CAR‐T in Two Patients With B‐ALL: Clinical and Biomarker Correlates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Immune effector cell‐associated hemophagocytic lymphohistiocytosis‐like syndrome (IEC‐HS) is a life‐threatening hyperinflammatory toxicity distinct from cytokine release syndrome (CRS) and neurotoxicity following chimeric antigen receptor T‐cell (CAR‐T) therapy. In a single‐institution retrospective cohort of pediatric and young adult patients
Thomas J. Galletta, Jeremy D. Rubinstein, Christopher E. Dandoy, Ruby Khoury, Angela Faulhaber, Christine L. Phillips, Christa Krupski   +6 more
wiley   +1 more source

Efficient forecasting for hierarchical time series

Proceedings of the 22nd ACM international conference on Information & Knowledge Management, 2013
Forecasting is used as the basis for business planning in many application areas such as energy, sales and traffic management. Time series data used in these areas is often hierarchically organized and thus, aggregated along the hierarchy levels based on their dimensional features. Calculating forecasts in these environments is very time consuming, due
Lars Dannecker, Robert Lorenz 0003, Philipp Rösch, Wolfgang Lehner, Gregor Hackenbroich   +4 more
openaire   +2 more sources

Therapeutic Apheresis for Intravenous Methylprednisolone‐Refractory Neuromyelitis Optica Spectrum Disorder: Clinical and Radiological Outcomes in a Single‐Center Case Series

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi, Daisuke Katagiri, Takeyuki Watadani, Shunichi Matsuda, Hiroshi Kaneko, Noritoshi Arai   +5 more
wiley   +1 more source

Performative Time-Series Forecasting

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Time-series forecasting is a critical challenge in various domains and has witnessed substantial progress in recent years. Many real-life scenarios, such as public health, economics, and social applications, involve feedback loops where predictions can influence the predicted outcome, subsequently altering the target variable's distribution.
Zhiyuan Zhao, Haoxin Liu, Alexander Rodríguez, B. Aditya Prakash   +3 more
openaire   +2 more sources

Experience With Performing Rheocarna Therapy via the Single‐Needle Method for Treatment of Chronic Limb‐Threatening Ischemia

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This study investigated the safety and efficacy of single‐needle Rheocarna therapy for chronic limb‐threatening ischemia (CLTI) with wounds. Methods Six patients with CLTI involving ulcers unresponsive to revascularization underwent single‐needle Rheocarna treatment.
Yasutaka Yamauchi, Rie Tanaka, Reona Kawahira, Shingo Nabeta, Kouhei Naoi, Kazuhito Kitajima, Akira Wada, Tomonari Takagi, Norihiko Ohura, Akira Miyamoto   +9 more
wiley   +1 more source

Time Series Forecasting with Many Predictors

Mathematics
We propose a novel approach for time series forecasting with many predictors, referred to as the GO-sdPCA, in this paper. The approach employs a variable selection method known as the group orthogonal greedy algorithm and the high-dimensional Akaike ...
Shuo-Chieh Huang, Ruey S. Tsay
doaj   +1 more source

TIME SERIES FORECASTING USING NEURAL NETWORKS [PDF]

Challenges of the Knowledge Society, 2013
Recent studies have shown the classification and prediction power of the Neural Networks. It has been demonstrated that a NN can approximate any continuous function.
BOGDAN OANCEA, ŞTEFAN CRISTIAN CIUCU
doaj