DAT: Deep Learning-Based Acceleration-Aware Trajectory Forecasting by Ali Asghar Sharifi, Ali Zoljodi, Masoud Daneshtalab

“…We propose a robust and innovative method for estimating ground-truth acceleration for objects, along with an object detector that predicts acceleration attributes for each detected object and a novel method for trajectory forecasting. …”
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Monitoring and forecasting of land use/land cover (LULC) in Al-Hassa Oasis, Saudi Arabia based on the integration of the Cellular Automata (CA) and the Cellular Automata-Markov Mod... by Ashraf Abdelkarim

“…The maximum likelihood classifier (MLC) method was used as a supervised classification algorithm to super control classification coefficients. …”
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Forecasting Financial Crashes: Revisit to Log-Periodic Power Law by Bingcun Dai, Fan Zhang, Domenico Tarzia, Kwangwon Ahn

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Evolution of the Seismic Forecast System Implemented for the Vrancea Area (Romania) by Victorin-Emilian Toader, Constantin Ionescu, Iren-Adelina Moldovan, Alexandru Marmureanu, Iosif Lıngvay, Andrei Mihai

“…All collected data are stored in an open-access database available in real time, geobs.infp.ro. The monitoring methods include threshold-based event detection and seismic data analysis. …”
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Automatically Detected CSES Ionospheric Precursors Before Part of the Strong Aftershocks of the 23 January 2024 Wushi <i>M</i>_S 7.1 Earthquake in Northwest China by Mei Li, Hongzhu Yan, Tianyu Liu

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Early Warning Method of Abnormal Electricity Consumption Behavior Based on Data Driven by WAN Wei, LIU Hongqi, SUN Hong-chang, ZHANG Feng, WANG Yang, SUN Wei-qing

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Online monitoring data processing methods for railway slopes and its application: A case study of the Shuohuang Railway by Mu GU

“…Engineering applications demonstrate that the proposed methods effectively detect and correct outliers, provide robust noise suppression, and yield precise deformation trend predictions, enhancing the practical application of monitoring systems.…”
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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

“…Finally, for water-containing bodies that are close, ground penetrating radar methods are used for detection and forecasting to achieve the purpose of close-range detection and forecasting. …”
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Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS by Yu-Cheng Chang, Pin-Hsuan Chao, Yan-Ming Kuan, Chiu-Jung Huang, Li-Fen Chen, Wei-Chung Mao, Tung-Ping Su, Sin-Horng Chen, Chun-Shu Wei

“…Inspired by predictive coding theory in neuroscience, we propose a novel signal padding method (forecast padding) to mitigate the filter edge effect. …”
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Forecasting Urban Sprawl Dynamics in Islamabad: A Neural Network Approach by Saddam Sarwar, Hafiz Usman Ahmed Khan, Falin Wu, Sarah Hasan, Muhammad Zohaib, Mahzabin Abbasi, Tianyang Hu

“…Landsat imagery is categorized into four thematic classes using a supervised classification method called the support vector machine (SVM): built-up, bareland, vegetation, and water. …”
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Limits of Solar Flare Forecasting Models and New Deep Learning Approach by G. Francisco, M. Berretti, S. Chierichini, R. Mugatwala, J. Fernandes, T. Barata, D. Del Moro

“…This study introduces a novel deep learning forecasting approach while emphasizing the need for performance evaluation methods tailored to better highlight current models’ limitations. …”
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Geomorphological and Isotope-Geochemical Methods in Assessing the Gas Potential of a Territory (Using the Example of the Angara-Lena Oil and Gas Region) by Smirnov Aleksandr Sergeevich, Nourgaliev Danis, Chernova Inna Yur'evna, Ziganshin Eduard

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Frost forecasting via weakly-supervised semantic segmentation of satellite imagery by Seokho Kang, Seon-Kyeong Seong, Eunha Sohn, Jiyoung Kim, Jaewoong Shim

“…We demonstrate the effectiveness of the proposed method for frost forecasting with varying lead times across the South Korean region using Geo-KOMPSAT-2A satellite data.…”
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Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

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Assessment of the possibility of forecasting hydrometeorological extremes using the solar activity index by Miskevich I.V., Kotova E.I.

“…The method can be used for specifying longterm hydrometeorological and ecological forecasts. …”
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Taxi Demand Prediction Based on a Combination Forecasting Model in Hotspots by Zhizhen Liu, Hong Chen, Yan Li, Qi Zhang

“…However, most taxi demand studies are based on historical taxi trajectory data. In this study, we detected hotspots and proposed three methods to predict the taxi demand in hotspots. …”
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Advances in Wastewater-Based Epidemiology for Pandemic Surveillance: Methodological Frameworks and Future Perspectives by Weihe Zhu, Daxi Wang, Pengsong Li, Haohao Deng, Ziqing Deng

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Autoregressive Neural Network for Cloud Concentration Forecast from Hemispheric Sky Images by Cristian Crisosto

“…Secondly, a new image-processing algorithm is suggested to optimize the cloud detection process starting with the Haze Index. Finally, the cloud concentration five minutes in advance at the IMUK is forecasted using machine learning methods. …”
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Vibration Signal Forecasting on Rotating Machinery by means of Signal Decomposition and Neurofuzzy Modeling by Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan José Saucedo-Dorantes, Jesus Adolfo Cariño-Corrales, Roque A. Osornio-Rios, Juan Antonio Ortega-Redondo, Rene de J. Romero-Troncoso

“…The results of the study indicate the suitability of the method for vibration forecasting in complex electromechanical systems and their associated kinematic chains.…”
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Evaluating Deep Learning Networks Versus Hybrid Network for Smart Monitoring of Hydropower Plants by Fatemeh Hajimohammadali, Emanuele Crisostomi, Mauro Tucci, Nunzia Fontana

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