Results 241 to 250 of about 394,967 (298)

Prognostic Impact of European LeukemiaNet Genetic Risk Stratification System in Adult Patients With Acute Myeloid Leukemia

open access: yesAging and Cancer, EarlyView.
This study aimed to evaluate the prognostic value of ELN2017 in predicting survival outcomes and to assess the impact of clinical and molecular factors such as age, FLT3 and NPM1 mutations, and allogeneic hematopoietic stem cell transplantation (allo‐HSCT).
Mobina Shrestha   +4 more
wiley   +1 more source

Forecasting Electricity Demand Using Generalized Long Memory [PDF]

open access: yes
Soares, Lacir Jorge   +1 more
core  

Forecasting Demand

2021
Abstract Forecasting is a vital part of hospitality operations because it allows businesses to make imperative decisions, such as pricing, promotions, distribution, scheduling, and arranging facilities, based on the predicted demand and supply.
Michelle (Myongjee) Yoo, Sybil Yang
openaire   +2 more sources

Tools for a New Demand Forecasting Paradigm "Individual Demand Forecasting'

2009 International Conference on Business Intelligence and Financial Engineering, 2009
Notwithstanding the increasing importance to forecast individual demands, tools for forecasting individual demands has received few attention so far. In this paper we presented three kinds of tools for individual demand forecasting: (1) tools for total customer participation, (2) tools for total value fusion, and (3) tool for net change forecasting. We
Zhongjun Tang, Jing Xiao
openaire   +1 more source

Demand Forecasting

2020
This chapter provides a proposal for demand management in furniture SMEs located in the city of Puebla, México. The historical production data reviewed, and the classification of the most critical articles was made using the ABC classification methodology.
Natalie Nicole Mar Hernández   +4 more
openaire   +2 more sources

Forecasting demand

British Journal of Healthcare Management, 2010
Recent comments that commissioning in the NHS only rates about 3 out of 10 should lead to a consideration of why it is so hard to effectively commission, rather than why are ‘they’ so rubbish? A large part of the unacknowledged difficulty in commissioning lies in the inability to forecast demand accurately and, as a consequence, to fix budgets.
openaire   +1 more source

Product Demand Forecasting in Knowledgeable Manufacturing Based on Demand Forecasting Net

2009 First International Workshop on Database Technology and Applications, 2009
In order to forecast product demand on the conditions of demand changing abruptly, this paper presents a product demand forecasting net model for fast forecasting, the model forecast demand of product by analyzing and using factors which influence product demand, such as price changes of product, supply changes of product, and demand changes of ...
Xiangang Meng, Hongsen Yan, Yufang Wang
openaire   +1 more source

Forecasting the Demand for Maternity Services

Healthcare Management Forum, 1994
Faced with demands on maternity services exceeding design capacity, one British Columbia hospital commissioned forecasting studies to determine trends in demand and if accurate forecasts could be obtained. In addition to describing the forecasting method employed, the data used and the results, the authors look at what literature is available on ...
D, Uyeno, C, Galbraith, D, Buchan
openaire   +2 more sources

Building power demand forecasting

it - Information Technology, 2016
Abstract Buildings acting as flexible loads have been often proposed to mitigate the volatility of renewable energy sources. Thereby, an accurate short-term demand forecast is indispensable for effective demand side management. At the same time, standardized load profiles, commonly used in the distribution grid, are inadequate for load ...
Valgaev, Oleg, Kupzog, Friederich
openaire   +3 more sources

Probabilistic demand forecasting at scale

Proceedings of the VLDB Endowment, 2017
We present a platform built on large-scale, data-centric machine learning (ML) approaches, whose particular focus is demand forecasting in retail. At its core, this platform enables the training and application of probabilistic demand forecasting models, and provides convenient abstractions and support functionality
Joos-Hendrik Boese   +8 more
openaire   +1 more source

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