Sales prediction through neural networks for a small dataset
RM Cantón Croda, DE Gibaja Romero… - 2019 - reunir.unir.net
Sales forecasting allows firms to plan their production outputs, which contributes to
optimizing firms' inventory management via a cost reduction. However, not all firms have the …
optimizing firms' inventory management via a cost reduction. However, not all firms have the …
Adige: an efficient smart water network based on long-range wireless technology
Outworn water distribution infrastructures require real-time monitoring and management of
water pressure and flow, together with accurate leak detection and localization techniques …
water pressure and flow, together with accurate leak detection and localization techniques …
Internet of environmental things: A human centered approach
S Mahajan - Proceedings of the 2018 workshop on mobisys 2018 …, 2018 - dl.acm.org
With the continuous urbanization and industrial growth, the concern about deteriorating air
quality is also increasing. This directly impacts the human health and sustainable …
quality is also increasing. This directly impacts the human health and sustainable …
A practical approach to validation of buildings' sensor data: a commissioning experience report
CG Mattera, S Lazarova-Molnar… - 2017 IEEE Third …, 2017 - ieeexplore.ieee.org
Often manually performed commissioning processes on building's sensors fail to
systematically validate that all building's sensors operate correctly. This is so because …
systematically validate that all building's sensors operate correctly. This is so because …
An alert system for flood forecasting based on multiple seasonal holt-winters models: a case study of southeast Brazil
Floods are natural phenomena that can cause social and economic damage. Predicting
these events is crucial for preventing significant losses. The city of Volta Redonda in the …
these events is crucial for preventing significant losses. The city of Volta Redonda in the …
Forecasting the Number of Foreign Tourism in Bali Using the Hybrid Holt-Winters-Artificial Neural Network Method
M Al Haris, L Himmaturrohmah, IM Nur… - … Ilmu Matematika Dan …, 2023 - ojs3.unpatti.ac.id
Bali was one of the destinations frequently visited by tourists because it had natural beauty,
especially in the tourism sector. The number of foreign tourists coming to Bali until 2019 had …
especially in the tourism sector. The number of foreign tourists coming to Bali until 2019 had …
House Price Forecasting Based on Hybrid Multi-regression Model
S Vishwakarma, S Singhal - Proceedings of the International …, 2020 - papers.ssrn.com
It is important to manage the production by analyzing the demand in the market. The market
faces uncertain demands, short life cycle and lack of historical sales data due to which …
faces uncertain demands, short life cycle and lack of historical sales data due to which …
[PDF][PDF] Storage Growing Forecast with Bacula Backup Software Catalog Data Mining
Backup software information is a potential source for data mining: not only the unstructured
stored data from all other backed-up servers, but also backup jobs metadata, which is stored …
stored data from all other backed-up servers, but also backup jobs metadata, which is stored …
Retrofitting workflows for B2B component assembly
AP Barros, AHM ter Hofstede… - … Computer Software and …, 2001 - ieeexplore.ieee.org
Sudden and significant demand for B2B process automation has seen the entry of workflow
management systems (WFMS) into the component arena. Workflows offer highly expressive …
management systems (WFMS) into the component arena. Workflows offer highly expressive …
[PDF][PDF] Prediction of the Most Popular Game Tags on Steam under the Influence of Covid-19 Based on Machine Learning and Natural Language Processing
J Zhang, H Zhao, Z Chen, Z Song - The Frontiers of Society …, 2020 - francis-press.com
Considered the influence of COVID-19 epidemic on video game markets, this paper
proposes using Python to find the best model of predicting the most popular game tags on …
proposes using Python to find the best model of predicting the most popular game tags on …