Intratumoral and peritumoral radiomics for forecasting microsatellite status in gastric cancer: a multicenter study by Yunzhou Xiao, Jianping Zhu, Huanhuan Xie, Zhongchu Wang, Zhaohai Huang, Miaoguang Su

“…Abstract Objective This investigation attempted to examine the effectiveness of CT-derived peritumoral and intratumoral radiomics in forecasting microsatellite instability (MSI) status preoperatively among gastric cancer (GC) patients. …”
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Forecasting the total aggressiveness of the combustion products due sulfur-containing components of pulverized coal by M. S. Ivanitskiy

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Forecasting inflation based on the consumer price index, taking into account the impact of seasonal factors by A. K. Sapova

“…There is a strong need for high-quality analysis and accurate forecast of this index. Modelling and forecasting of consumer price index as a key indicator of inflation are relevant issues in current macroeconomic conditions. …”
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Power short-term load forecasting based on big data and optimization neural network by Xin JIN, Long-wei LI, Jia-nan JI, Zhi-qi LI, Yu HU, Yong-bin ZHAO

“…With the reduction of the cost of power data acquisition and the interconnection of large scale power systems,the types of data available in the power network are becoming more and more abundant.In the past,the centralized fore-casting method was limited to the analysis of the massive power data.Therefore,a short-term power load forecasting based on large data and particle swarm optimization BP neural network was proposed,and short-term power load fore-casting model was established.The actual load data of the national grid,using the method of prediction,compared with the actual load data and centralized load forecasting results prove that this method is accurate enough,reduce the load forecasting time with feasibility in practical application.…”
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Forecasting stock returns: the role of VIX-based upper and lower shadow of Japanese candlestick by Zhifeng Dai, Haoyang Zhu, Xiaoming Chang, Fenghua Wen

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Enhanced Oil and Gas Production Forecasting Through Stacked generalization Ensemble Learning Technique by Azhar Alyahya, Gülüzar Çit

“…Planning a strategy throughout the oil and gas sector depends on production forecasting. Precise projections aid in estimating future output rates, streamlining processes, and effectively allocating resources. …”
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FORECASTING AS A WAY TO REDUCE THE RISKS OF A CASH FLOW DEFICIT IN AGRICULTURAL ORGANIZATIONS by Alexey NOSOV, Olga TAGIROVA, Marina FEDOTOVA, Olga NOVICHKOVA

“…To synchronize flows over time intervals and reduce the risks of a shortage of funds, the authors have developed cash flow forecasts for a year and a half by direct and indirect methods. …”
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Forecasting the Number of Tuberculosis Patients Using Automatic Clustering And Fuzzy Logical Relationship Method by Rahmawati Rahmawati, Sarbaini Sarbaini, Ade Novia Rahma, Tri Uci Lestari, Fitri Aryani

“…From the results of the analysis carried out using the automatic clustering and fuzzy logical relationship method, it was obtained to forecast the number of tuberculosis patients in 2022, as many as  944 people with MAPE of 0.0882%, the accuracy of forecasting results of 99.9118%, and an increase in the number of tuberculosis sufferers from 2021 to 2022 as many as 4 people.…”
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Short-Term Sales Forecasting Using LSTM and Prophet Based Models in E-Commerce by Alp Ecevit, İrem Öztürk, Mustafa Dağ, Tuncay Özcan

“…For the comparative analysis of the proposed forecasting models, weighted average absolute percent error (wMAPE), root mean square error (RMSE) and R-squared are selected as performance measures. …”
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Detailed Forecast for the Development of Electric Trucks and Tractor Units and Their Power Demand in Hamburg by 2050 by Edvard Avdevičius, Amra Jahic, Detlef Schulz

“…This paper presents a comprehensive meta-study forecasting the development and corresponding power demand of electric trucks and tractor units in Hamburg up to 2050, emphasizing the shift from conventional to electric vehicles. …”
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Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting by Victor Solomon, Junzhi Wen, Rafal Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid

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Integrating Kolmogorov–Arnold Networks with Time Series Prediction Framework in Electricity Demand Forecasting by Yuyang Zhang, Lei Cui, Wenqiang Yan

“…The analysis utilizes real-world datasets from a leading utility company and publicly available sources. …”
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Applying EBM Model and Grey Forecasting to Assess Efficiency of Third-Party Logistics Providers by Chia-Nan Wang, Jen-Der Day, Thi-Kim-Lien Nguyen

“…The aim of this research is to assess the efficiency of 10 large TPL providers from past to future by integrating the GM (1,1) model in grey forecasting and an epsilon-based measure model (EBM) in data envelopment analysis (DEA). …”
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Diffusion‐Based Subsurface CO2 ${ ext{CO}}_{2}$ Multiphysics Monitoring and Forecasting by Xinquan Huang, Fu Wang, Tariq Alkhalifah

“…In addition to efficiency, forecasting and uncertainty analysis are not easy to handle using such numerical‐simulation‐based approaches. …”
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Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs by Zhen Zeng, Yu Chen

“…These results support the predictive value of recurring topological structures in financial time series and higight the potential of structure-aware forecasting methods in quantitative analysis.…”
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Post-Recession Recovery in US Air Transport: Forecasting with a Temporal Causal Model by Maja Ozmec-Ban, Ružica Škurla Babić, Vladimir Vasić, Dajana Bartulović

“…Based on the comparison, the temporal causal model enables instant analysis of circumstances and causes in dynamic environments, as well as reliable forecasting of upcoming intermediate periods. …”
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THE SYSTEM OF HYBRID FORECAST MODELS FOR SYTUATIONAL CENTERS OF REGIONAL ADMINISTRATION BODIES AND THEIR APPLICATION IN EDUCATION by Olga V. Kitova, Ludmila P. Dyakonova, Victoria M. Savinova

“…State governance of the Russian Federation includes a monitoring system, which ensures successful implementation of strategic plans at all levels. Monitoring covers analysis  of the situation and building short-term forecasts of the development. …”
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Two forecasting model selection methods based on time series image feature augmentation by Wentao Jiang, Quan Wang, Hongbo Li

“…Abstract Forecasting and early warning of agricultural product prices is a crucial task in stream data event analysis and agricultural data mining. …”
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A novel LLM time series forecasting method based on integer-decimal decomposition by Lei Wang, Keyao Dong, Xiaoyong Zhao

“…Inspired by advancements in natural language processing (NLP) and computer vision (CV), large language models (LLMs) have emerged as a promising method for time series forecasting. However, fundamental differences between time series data and textual data present challenges in adapting time series for LLM-based forecasting. …”
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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

“…This paper presents an innovative approach to wind energy forecasting through the implementation of an extended long short-term memory (xLSTM) model. …”
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