Works matching DE "DEMAND forecasting"
Results: 2220
Tourism Demand Forecasting: An Interpretable Deep Learning Model.
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- Tourism Analysis, 2024, v. 29, n. 4, p. 465, doi. 10.3727/108354224X17180286995735
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Intelligent alert system for predicting invasive mechanical ventilation needs via noninvasive parameters: employing an integrated machine learning method with integration of multicenter databases.
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- Medical & Biological Engineering & Computing, 2024, v. 62, n. 11, p. 3445, doi. 10.1007/s11517-024-03143-7
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A Novel Integrated Fuzzy-Rough MCDM Model for Assessment of Barriers Related to Smart Logistics Applications and Demand Forecasting Method in the COVID-19 Period.
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- International Journal of Information Technology & Decision Making, 2022, v. 21, n. 5, p. 1647, doi. 10.1142/S0219622022500274
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Hotel Reservation Forecasting Using Flexible Soft Computing Techniques: A Case of Study in a Spanish Hotel.
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- International Journal of Information Technology & Decision Making, 2016, v. 15, n. 5, p. 1211, doi. 10.1142/S0219622016500309
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Aplicación de modelación bayesiana y optimización para pronósticos de demanda.
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- Ingeniería y Desarrollo, 2014, v. 32, n. 2, p. 179
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Evaluation of log P, pKa, and log D predictions from the SAMPL7 blind challenge.
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- Journal of Computer-Aided Molecular Design, 2021, v. 35, n. 7, p. 771, doi. 10.1007/s10822-021-00397-3
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Moderators for Partition Dependence in Prediction Markets.
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- Group Decision & Negotiation, 2019, v. 28, n. 4, p. 723, doi. 10.1007/s10726-019-09622-9
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A social-aware video sharing solution using demand prediction of epidemic-based propagation in wireless networks.
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- Multimedia Systems, 2023, v. 29, n. 6, p. 3505, doi. 10.1007/s00530-023-01167-x
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Tourism demand forecasting using graph neural network.
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- Current Issues in Tourism, 2025, v. 28, n. 6, p. 982, doi. 10.1080/13683500.2024.2320851
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Tourism demand forecasting under conceptual drift during COVID-19: an ensemble deep learning model.
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- Current Issues in Tourism, 2024, v. 27, n. 23, p. 4084, doi. 10.1080/13683500.2023.2273922
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Tourism demand forecasting based on user-generated images on OTA platforms.
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- Current Issues in Tourism, 2024, v. 27, n. 11, p. 1814, doi. 10.1080/13683500.2023.2216882
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Daily tourism demand forecasting before and during COVID-19: data predictivity and an improved decomposition-ensemble framework.
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- Current Issues in Tourism, 2024, v. 27, n. 8, p. 1208, doi. 10.1080/13683500.2023.2202308
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A deep learning model based on multi-source data for daily tourist volume forecasting.
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- Current Issues in Tourism, 2024, v. 27, n. 5, p. 768, doi. 10.1080/13683500.2023.2183818
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Forecasting tourism demand of tourist attractions during the COVID-19 pandemic.
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- Current Issues in Tourism, 2024, v. 27, n. 3, p. 445, doi. 10.1080/13683500.2023.2165482
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Identifying the role of media discourse in tourism demand forecasting.
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- Current Issues in Tourism, 2024, v. 27, n. 3, p. 413, doi. 10.1080/13683500.2023.2165050
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Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19.
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- Current Issues in Tourism, 2023, v. 26, n. 19, p. 3231, doi. 10.1080/13683500.2022.2144151
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Dynamic multivariate interval forecast in tourism demand.
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- Current Issues in Tourism, 2023, v. 26, n. 10, p. 1593, doi. 10.1080/13683500.2022.2060068
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Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects.
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- Current Issues in Tourism, 2023, v. 26, n. 10, p. 1573, doi. 10.1080/13683500.2022.2060067
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Forecasting hotel demand for revenue management using machine learning regression methods.
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- Current Issues in Tourism, 2022, v. 25, n. 17, p. 2733, doi. 10.1080/13683500.2021.1999397
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Research on Water Demand Forecasting in Handan City Based on GA-BP Neural Network and Normal Interval Estimation.
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- China Rural Water & Hydropower, 2022, n. 3, p. 19
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A Comparative Study of Demand Forecasting Based on Machine Learning Methods with Time Series Approach.
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- Journal of Applied Research on Industrial Engineering, 2022, v. 9, n. 3, p. 331, doi. 10.22105/jarie.2021.246283.1192
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A Seasonal Autoregressive Integrated Moving Average with Exogenous Factors (SARIMAX) Forecasting Model-Based Time Series Approach.
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- Inventions (2411-5134), 2022, v. 7, n. 4, p. 94, doi. 10.3390/inventions7040094
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Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management.
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- Logistics (2305-6290), 2024, v. 8, n. 3, p. 73, doi. 10.3390/logistics8030073
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Deep Learning and Statistical Models for Forecasting Transportation Demand: A Case Study of Multiple Distribution Centers.
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- Logistics (2305-6290), 2023, v. 7, n. 4, p. 86, doi. 10.3390/logistics7040086
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Cost analysis of 25-hydroxy vitamin D tests in Turkiye with big data: A cross-sectional study.
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- Northern Clinics of Istanbul, 2023, v. 10, n. 5, p. 618, doi. 10.14744/nci.2023.42899
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基于SARIMA-GS-SVR组合模型的短期电力需求预测.
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- Electronic Science & Technology, 2022, v. 35, n. 8, p. 58, doi. 10.16180/j.cnki.issn1007-7820.2022.08.010
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Planning and Scheduling AC Product Distribution in PT. XYZ to Fulfill Service Level.
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- KnE Social Sciences, 2019, v. 2019, p. 1156, doi. 10.18502/kss.v3i22.5118
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Time-Series Forecasting Models for Smart Meters Data: An Empirical Comparison and Analysis.
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- Journal Européen des Systèmes Automatisés, 2024, v. 57, n. 5, p. 1419, doi. 10.18280/jesa.570517
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- Article
Optimizing Inventory Management with Seasonal Demand Forecasting in a Fuzzy Environment.
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- Journal Européen des Systèmes Automatisés, 2024, v. 57, n. 4, p. 1091, doi. 10.18280/jesa.570416
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- Article
Supply Chain Management in FMCG using Blockchain.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 5, p. 6281
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Supply Chain Optimization with Data Science.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part1, p. 137
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Automated Supply Chain Management System.
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- Grenze International Journal of Engineering & Technology (GIJET), 2023, v. 9, n. 1, p. 287
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Workload Prediction in Cloud Environment during Seasonal Trend.
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- Grenze International Journal of Engineering & Technology (GIJET), 2021, v. 7, n. 1, p. 704
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- Article
TREND, PATTERN AND FORECASTING OF ELECTRICITY CONSUMPTION IN ASSAM.
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- International Journal of Agricultural & Statistical Sciences, 2021, v. 17, n. 2, p. 895
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- Article
Post-Traumatic Stress Disorder Among U.S. Army Drone Operators.
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- Aerospace Medicine & Human Performance, 2022, v. 93, n. 7, p. 562, doi. 10.3357/AMHP.6016.2022
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Fuzzy logic-based modeling and analysis of surface roughness, electrostatic charge, and material removal rate in ultrahigh precision diamond turning of rigid contact lens polymer.
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- Journal of Thermoplastic Composite Materials, 2021, v. 34, n. 7, p. 952, doi. 10.1177/0892705719850602
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МОДЕЛЮВАННЯ ТА ПРОГНОЗУВАННЯ ПОПИТУ НА ЦИФРОВИЙ ПРОДУКТ.
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- Scientific Proceedings of Ostroh Academy National University Series, Economics, 2021, v. 50, n. 22, p. 95, doi. 10.25264/2311-5149-2021-22(50)-95-101
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- Article
СУЧАСНІ ПІДХОДИ ДО УПРАВЛІННЯ ПРОЄКТНОЮ ДІЯЛЬНІСТЮ ІТ-КОМПАНІЙ.
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- Scientific Proceedings of Ostroh Academy National University Series, Economics, 2021, v. 50, n. 22, p. 88, doi. 10.25264/2311-5149-2021-22(50)-88-94
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- Article
Enhancing Carsharing Experiences for Barcelona Citizens with Data Analytics and Intelligent Algorithms.
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- Computers (2073-431X), 2023, v. 12, n. 2, p. 33, doi. 10.3390/computers12020033
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- Article
Metaheuristic Extreme Learning Machine for Improving Performance of Electric Energy Demand Forecasting.
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- Computers (2073-431X), 2022, v. 11, n. 5, p. 66, doi. 10.3390/computers11050066
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- Article
Forecasting Electricity Demand from Daily Log Sheet with Correlated Variables.
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- ESTEEM, 2020, v. 16, p. 31
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- Article
通信受限条件下的多节点信号快速关联算法.
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- Telecommunication Engineering, 2023, v. 63, n. 8, p. 1213, doi. 10.20079/j.issn.1001-893x.220329005
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- Article
边缘网络中一种 VNF 需求预测方法.
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- Telecommunication Engineering, 2021, v. 61, n. 12, p. 1476, doi. 10.3969/j.issn.1001-893x.2021.12.002
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- Article
The Effect of Marine Power Generation Technology on the Evolution of Energy Demand for New Energy Vehicles.
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- Journal of Coastal Research, 2020, v. 103, p. 1006, doi. 10.2112/SI103-209.1
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- Article
Logistics Demand Forecast Model for Port Import and Export in Coastal Area.
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- Journal of Coastal Research, 2020, v. 103, p. 678, doi. 10.2112/SI103-138.1
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- Article
Optimal Decision Model Design of Diversified Port Investment.
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- Journal of Coastal Research, 2020, v. 103, p. 159, doi. 10.2112/SI103-034.1
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- Article
Big data resolving using Apache Spark for load forecasting and demand response in smart grid: a case study of Low Carbon London Project.
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- Journal of Big Data, 2024, v. 11, n. 1, p. 1, doi. 10.1186/s40537-024-00909-6
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Machine learning based customer churn prediction in home appliance rental business.
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- Journal of Big Data, 2023, v. 10, n. 1, p. 1, doi. 10.1186/s40537-023-00721-8
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Neural network training with limited precision and asymmetric exponent.
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- Journal of Big Data, 2022, v. 9, n. 1, p. 1, doi. 10.1186/s40537-022-00606-2
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Modelling and Forecasting Inbound Tourism Demand to Croatia using Artificial Neural Networks: A Comparative Study.
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- Journal of Tourism & Services, 2020, v. 11, n. 21, p. 55, doi. 10.29036/jots.v11i21.171
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