Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

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Enhancing Power Generation Forecasting in Smart Grids Using Hybrid Autoencoder Long Short-Term Memory Machine Learning Model by Ahsan Zafar, Yanbo Che, Muneer Ahmed, Muhammad Sarfraz, Ashfaq Ahmad, Mohammad Alibakhshikenari

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Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study by Riccardo Boracchini, Benedetta Canova, Pietro Ferrara, Elisa Barbieri, Pietro Giorgio Lovaglio, Antonio Scamarcia, Giovanni Corrao, Daniele Donà, Carlo Giaquinto, Costanza Di Chiara, Anna Cantarutti

“…The period between March 2020 and February 2022 was forecasted to represent the normal trend without COVID-19. …”
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Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…The information collected is secondary data obtained from the website www.yahoo.finance.com. The analysis conducted involves performing FCM classification to form interval classes and optimizing the forecasting results of the WFTS method with DE. …”
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The Module for Predicting Complications after Bone Marrow Transplantation in Children with Leukemia by S. V. Nikiforov, B. I. Smirnov

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Internet of things-based smart system for apple orchards monitoring and management by Bahareh Jamshidi, Hossein Khabbaz Jolfaee, Kazem Mohammadpour, Mohsen Seilsepour, Hossein Dehghanisanij, Hassan Hajnajari, Hossein Farazmand, Alireza Atri

“…In this pilot research, a smart monitoring and management system based on Internet of Things (IoT) was developed and realized for apple orchards to monitor the orchard environmental conditions and to forecast the most important disease and pest, as well as to manage irrigation and fertilization. …”
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Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions by Yi Sun, Lulin Zheng, Hong Lan, Zhaoxing Yu, Jin Wang, Bo Li, Feng Yang, Fangbo Wen

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Comparative evaluation of lethal outcome prediction methods in severely burned patients by O. O. Zavorotniy, E. V. Zinoviev, V. G. Volkov, D. V. Kostyakov, D. H. Halipaeva, A. V. Semiglazov, T. Z. Gogohiya

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Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

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Prediction of Coalbed Methane Production Using a Modified Machine Learning Methodology by Hongyang Zhang, Kewen Li, Shuaihang Shi, Jifu He

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Predicting Earthquake Casualties and Emergency Supplies Needs Based on PCA-BO-SVM by Fuyu Wang, Huiying Xu, Huifen Ye, Yan Li, Yibo Wang

Subjects: “…principal component analysis…”
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An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy by Yu. A. Korablev

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Machine Learning in the National Economy by Azamjon A. Usmonov

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Multi-scenario territorial spatial simulation and dynamic changes: A case study of Jilin Province in China from 1985 to 2030 by Shi Dan, Liu Xuan, Jin Jing, Wan Daiji, Chen Baolong, Liu Jiping

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AI-driven health analysis for emerging respiratory diseases: A case study of Yemen patients using COVID-19 data by Saleh I. Alzahrani, Wael M. S. Yafooz, Ibrahim A. Aljamaan, Ali Alwaleedi, Mohammed Al-Hariri, Gameel Saleh

Subjects: “…ai-powered health analysis…”
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Spark Booster-An Optimized IoT Architecture for Energy Sector Delving Predictive Analysis on Energy Usage With Stochastic Monte Carlo Method by S. Delsi Robinsha, B. Amutha, Vijayakumar Ponnusamy

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PERILAKU HARGA DAN PEMASARAN IKAN HASIL TANGKAPAN DI PROPINSI BENGKULU by Ketut Sukiyono, Harisma Ika Kaban

“…The data consist of weekly data of tongkol in the four main market in Bengkulu  for the period of 2002 to 2004 are used. The analysis of weekly prices used table analysis and linear regression model involving seasonal fishing dummies. …”
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Between Domestic and Commonly Known Bankruptcy Prediction Models, How Differ It Can Be? by Muhamad Fiqri Aripin

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Predicting unemployment rates in Indonesia by Umi Mahmudah

“…The average of the residuals is close to zero which informs a good result of the forecasting analysis. …”
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Research on future trends of electricity consumption based on conditional generative adversarial network considering dual‐carbon target by Jinghua Li, Zibei Qin, Yichen Luo, Jianfeng Chen, Shanyang Wei

“…Finally, the proposed method by forecasting China's EC from 2015 to 2020 is validated. …”
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