Deep Learning Forecast of Semidiurnal Internal Tides From the Mariana Arc by Shuipang Liu, Zhenhua Xu, Jia You, Peiwen Zhang, Xiaofeng Li, Zhongya Cai

“…Traditional methods, including harmonic analysis and numerical simulations, are difficult to reliably characterize and forecast such multimodal and incoherent internal tide field. …”
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Water allocation and irrigation scheme considering runoff forecasting of Ulungur River by Tao Bai, Xinyue Liu, Dong Liu, Yuhong Zhou

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Estimating and forecasting bitcoin daily prices using ARIMA-GARCH models by Quang Phung Duy, Oanh Nguyen Thi, Phuong Hao Le Thi, Hai Duong Pham Hoang, Khanh Linh Luong, Kim Ngan Nguyen Thi

“…The estimation process is run using 3 years of data (2021–2023), while the remaining (Jan 1st 2024 to Jan 17th 2024) is used for forecasting. The ARIMA-GARCH method is a robust framework for forecasting time series data with non-seasonal components. …”
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Adaptive Hosting Capacity Forecasting in Distribution Networks with Distributed Energy Resources by Md Tariqul Islam, M. Jahangir Hossain, Md. Ahasan Habib, Muhammad Ahsan Zamee

“…The sustainable integration of distributed energy resources (DER) into distribution networks requires accurate forecasting of hosting capacity. The network and DER variables alone do not capture the full range of external influences on DER integration. …”
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Multi-Means Comprehensive Forecasting Technology for Water Inrush in Long Tunnels by Jingxi Yang, Qi Ma, Huabo Xiao, Xinyuan Wei, Fei Yan, Wencong Zhang, Jingwen Chen, Zhou Xiao, Guoqing Wang

“…In response to the challenges of detecting and forecasting adverse geological bodies and water inrush risks in long tunnels, this paper, based on the comprehensive analysis of seismic reflection waves and electroseismic effect coupling, has achieved a long-distance tunnel construction process, adverse geological detection, and early warning, and has realized precise forecasting of the scale and location of adverse water-containing bodies. …”
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An Enhanced Time-Series-Based Solar Power Forecast for Microgrid System by Tejaswini Thota, Aleena Bosco Kurumthottam, Suvidha Rupesh Kumar, Jyotismita Mishra

“…This paper develops and rigorously evaluates five forecasting models, namely standard LSTM, attention-enhanced custom LSTM, ARIMA, rolling window ARIMA, and Prophet. …”
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Application of Observation Perturbation-based EDA Method to CMA Ensemble Forecasting by Zhang Hanbin, Xia Yu, Cao Yajie

“…Ensemble forecast verification results indicate that EDA scheme can effectively enhance the reliability of element forecasts. …”
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Breaking Down the Computational Barriers to Real‐Time Urban Flood Forecasting by Valeriy Y. Ivanov, Donghui Xu, M. Chase Dwelle, Khachik Sargsyan, Daniel B. Wright, Nikolaos Katopodes, Jongho Kim, Vinh Ngoc Tran, April Warnock, Simone Fatichi, Paolo Burlando, Enrica Caporali, Pedro Restrepo, Brett F. Sanders, Molly M. Chaney, Ana M. B. Nunes, Fernando Nardi, Enrique R. Vivoni, Erkan Istanbulluoglu, Gautam Bisht, Rafael L. Bras

“…Currently, there are no operational systems to forecast flooding at spatial resolutions that can facilitate emergency preparedness and response actions mitigating flood impacts. …”
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Forecasting Achievement of Inactive Disease in Juvenile Idiopathic Arthritis with Artificial Intelligence by Ana I. Rebollo-Giménez, Francesca Ridella, Silvia Maria Orsi, Elena Aldera, Marco Burrone, Valentina Natoli, Silvia Rosina, Alessandro Consolaro, Esperanza Naredo, Angelo Ravelli, Davide Cangelosi

“…In the testing cohort, the same ML model confirmed a high forecasting performance (MCC = 0.65). Assessment of feature importance and impact analysis showed that the most relevant predictor of ID was the physician’s global assessment (PhGA), followed by the count of active joints (AJC). …”
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Forecasting Macroeconomic Dynamics in Ukraine: The Impact of a Full-Scale War by Olena Dobrovolska, Olena Kolotilina, Mariia Ostapenko

“…This research paper addresses the forecasting of Ukraine’s macroeconomic dynamics amidst a full-scale war, which has profoundly impacted its economy, causing disruptions in key sectors like agriculture and energy. …”
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Runoff Generation Mechanisms of Flash Flood Forecasting in Guanshan River Basin by LI Miao, TANG Wen-jian, DONG Lin-yao, ZENG Yu-jie

“…[Objectives] This study aims to improve the accuracy and efficiency of flash flood forecasting in the Guanshan River Basin and other similar small mountainous watersheds frequently affected by flood disasters by analyzing the runoff generation mechanisms of flash floods. …”
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Analysis of The State of The Tourism Industry in Russia аnd The Direction of Its Development by P. G. Nikolenko, A. M. Terekhov

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COMPANIES CONDITION COMPARISON BASES ON THE INDICATORS OF CONSTANCY OF THE RATIO «PRICE/EARNINGS» by O. Zemlyanskiy

Subjects: “…comparative analysis of the company condition…”
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Econometric Analysis of the Influence of Microbiological Preparations on the Crop Yield of Dry Mass of Feed Mix by O. A. Shikhova

Subjects: “…econometric analysis…”
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Analysis of world experience in the use of artificial intelligence in traffic control systems at various levels by D. V. Navoi, D. V. Kapski, N. A. Filippova, I. N. Pugachev

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ANALYSIS OF THE DYNAMICS OF INVESTMENT VOLUME IN ROMANIA ACCORDING TO GDP, INTEREST RATE AND INFLATION RATE by NADIA ELENA STOICUȚA

“…Finally, forecasts were made for a period of three years 2022-2024. …”
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

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Evaluation of 2024 Meteorological Drought Forecasts for Türkiye: Using ECMWF SEAS5 Data and the SPEI Index by Gülten Çamalan, Sercan Akil

“… This study aims to evaluate meteorological drought predictions for Türkiye in 2024 using the SEAS5 seasonal forecast system developed by the European Centre for Medium-Range Weather Forecasts (ECMWF). …”
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GPS Radio Occultation Data Assimilation in the AREM Regional Numerical Weather Prediction Model for Flood Forecasts by Wei Cheng, Youping Xu, Zhiwu Deng, Chunli Gu

“…The case study results indicate that the use of radio occultation data after quality control can improve the quality of the analysis to be similar to that of the observations and, thus, have a positive effect when improving 24-hour rainfall forecasts. …”
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Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall by Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera

“…The ensemble of CNN ISMR predictions can supplement the predictions of the forecasting centers.…”
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