Machine Learning and Deep Learning Models for Demand Forecasting in Supply Chain Management: A Critical Review by Kaoutar Douaioui, Rachid Oucheikh, Othmane Benmoussa, Charif Mabrouki

Subjects: “…AI-driven demand forecasting…”
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A tiered NARX model for forecasting day-ahead energy production in distributed solar PV systems by Sameer Al-Dahidi, Mohammad Alrbai, Bilal Rinchi, Loiy Al-Ghussain, Osama Ayadi, Ali Alahmer

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TAE Predict: An Ensemble Methodology for Multivariate Time Series Forecasting of Climate Variables in the Context of Climate Change by Juan Frausto Solís, Erick Estrada-Patiño, Mirna Ponce Flores, Juan Paulo Sánchez-Hernández, Guadalupe Castilla-Valdez, Javier González-Barbosa

“…Dimensionality in multivariate time series is reduced through Principal Component Analysis, ensuring interpretability and efficiency. …”
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Forecasting the emergence, development, and impact of industry 4.0 technologies for defence sector in terms of sustainability and innovation: A comprehensive analysis by Gurmit Singh, Simant Kamal Dutta, Rajesh Singh, Anita Gehlot, Dharam Buddhi, Siddharth Swami, Shaik Vaseem Akram, Amit Kumar Thakur, Neeraj Priyadarshi, Bhekisipho Twala

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Global, regional, and national burden of musculoskeletal disorders, 1990–2021: an analysis of the global burden of disease study 2021 and forecast to 2035 by Meizhi Liu, Jian Rong, Xiangzhen An, Yulei Li, Yan Min, Guomeng Yuan, Yan Yang, Mengjie Li

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Accurate total consumer price index forecasting with data augmentation, multivariate features, and sentiment analysis: A case study in Korea. by Injae Seo, Minkyoung Kim, Jong Wook Kim, Beakcheol Jang

“…Given its importance, accurately forecasting the Total CPI is crucial for informed decision-making. …”
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Predictive Time-Series Analysis of Single-Qubit Quantum Circuit Outcomes for a Superconducting Quantum Computer: Forecasting Error Patterns by Mohammadreza Saghafi, Lamine Mili

“…By training a predictive model, we aim to forecast future outcomes, providing insights into the error behavior of the quantum circuit. …”
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HYBRID MODEL OF SINGULAR SPECTRUM ANALYSIS WITH AUTOREGRESSIVE INTEGRATED MOVING AVERAGE AND FUZZY TIME SERIES FOR INDONESIAN CRUDE PRICE FORECASTING by Etik Zukhronah, Winita Sulandari, Esa Permata Sari Putri Ilahi

“…This study discusses a hybrid model of Singular Spectrum Analysis (SSA) with Autoregressive Integrated Moving Average (ARIMA) and Fuzzy Time Series (FTS) for forecasting the Indonesian Crude Price (ICP). …”
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Comparison of trend analysis of varicella zoster disease burden between China and the world 1990–2021 and disease burden forecast 2030 by Zhichun Chang, Zhichun Chang, Huale Li, Huale Li, Yanfang Li, Yanfang Li, Ting Qin, Ting Qin, Mingren Hu, Xinjing Yang, Jun Li, Jun Li, Yufeng Xie

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Forecasting Confirmed Malaria Cases in Northwestern Province of Zambia: A Time Series Analysis Using 2014–2020 Routine Data by Dhally M. Menda, Mukumbuta Nawa, Rosemary K. Zimba, Catherine M. Mulikita, Jim Mwandia, Henry Mwaba, Karen Sichinga

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Analysis of the Electromagnetic Background Created by Constellations of Low-Earth Orbit Satellites, Based on the Prediction Forecast of the Created Area Traffic Capacity by V. I. Mordachev, D. A. Tsyanenka

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Optimizing data-driven arctic marine forecasting: a comparative analysis of MariNet, FourCastNet, and PhyDNet by Aleksei V. Buinyi, Aleksei V. Buinyi, Dias A. Irishev, Edvard E. Nikulin, Aleksandr A. Evdokimov, Polina G. Ilyushina, Natalia A. Sukhikh, Natalia A. Sukhikh

“…These forecasts necessitate precise predictions of ocean currents, wind-driven waves, and various other oceanic parameters. …”
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Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches by Yousef Altork

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Projected Uptake of New Antiretroviral (ARV) Medicines in Adults in Low- and Middle-Income Countries: A Forecast Analysis 2015-2025. by Aastha Gupta, Sandeep Juneja, Marco Vitoria, Vincent Habiyambere, Boniface Dongmo Nguimfack, Meg Doherty, Daniel Low-Beer

“…With anti-retroviral treatment (ART) scale-up set to continue over the next few years it is of key importance that manufacturers and planners in low- and middle-income countries (LMICs) hardest hit by the HIV/AIDS pandemic are able to anticipate and respond to future changes to treatment regimens, generics pipeline and demand, in order to secure continued access to all ARV medicines required. We did a forecast analysis, using secondary WHO and UNAIDS data sources, to estimate the number of people living with HIV (PLHIV) and the market share and demand for a range of new and existing ARV drugs in LMICs up to 2025. …”
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FORECASTING CORONARY EVENTS BASED ON THE ANALYSIS OF THE DYNAMICS OF MORPHOFUNCTIONAL PARAMETERS OF THE CARDIOVASCULAR SYSTEM IN PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE IN THE NORTH by D. A. Dolgopolova, M. A. Popova, N. N. Terentyeva

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Evaluating Time Series Models for Monthly Rainfall Forecasting in Arid Regions: Insights from Tamanghasset (1953–2021), Southern Algeria by Ballah Abderrahmane, Morad Chahid, Mourad Aqnouy, Adam M. Milewski, Benaabidate Lahcen

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DATA ANALYSIS OF TRAFFIC ACCIDENTS AND THEIR CAUSES IN GOMEL FOR 2013 AND 2014 by S. A. Azemsha, V. N. Galushko, S. V. Skirkovski, Yu. A. Vrubel

“…Moral climate on the road is no less important as well and it practically fully depends on a driver.The paper contains an analysis of the Gomel traffic police data on quantitative distribution of road traffic accidents and their victims according to the time of day and month, lighting conditions, weather conditions, age and sex factors, types of violations. …”
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ANALYSIS OF KEY ENERGY CONSUMPTION MODELS IN THE CONTEXT OF MODERN UKRAINE by Марина Юрченко

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Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models by Qi Chen, Han Zhao, Hongfang Qiu, Qiyin Wang, Dewei Zeng, Mengliang Ye

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Trends and forecasts of the prevalence and mortality of Alzheimer’s disease and other dementias in China by Mingxuan Hou, Mingxuan Hou, Ling Yang

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