Exploring Machine Learning Methods for Aflatoxin M1 Prediction in Jordanian Breast Milk Samples by Abdullah Aref, Eman Omar, Eman Alseidi, Nour Elhuda A. Alqudah, Sharaf Omar

“…The presence of aflatoxin M1 in breast milk poses a serious risk to the health of infants because of its potential to cause cancer and have negative effects on development. Detecting AFM1 in milk samples using conventional methods is often time-consuming and may not provide real-time monitoring capabilities. …”
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A machine learning method to monitor China's AIDS epidemics with data from Baidu trends. by Yongqing Nan, Yanyan Gao

“…This paper uses search engine data to monitor and forecast AIDS in China.<h4>Methods</h4>A machine learning method, artificial neural networks (ANNs), is used to forecast AIDS incidences and deaths. …”
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New Method for Single-Site Cloud-to-Ground Lightning Location Based on Tri-Pre Processing by Bingzhe Dai, Qilin Zhang, Jie Li, Yi Liu, Minhong Zhao

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Exploring Different Dynamics of Recurrent Neural Network Methods for Stock Market Prediction - A Comparative Study by Ajit Mohan Pattanayak, Aleena Swetapadma, Biswajit Sahoo

“…The intricate and unpredictable nature of stock markets underscores the importance of precise forecasting for timely detection of downturns and subsequent rebounds. …”
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Methodology for Estimating the Cost of Construction Equipment Based on the Analysis of Important Characteristics Using Machine Learning Methods by Nataliya Boyko, Oleksii Lukash

“…The study pays additional attention to the specific characteristics of heavy machinery by the sector of the economy. The existing methods and tools for price forecasting, depending on the specific characteristics of the equipment, were analyzed. …”
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Modelling and Forecasting Energy Efficiency Impact on the Human Health by Yuliia Matvieieva, Hedy Ben Hamida

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Diagnostic value of a novel automated simultaneous amplification and testing method in pulmonary tuberculosis and extrapulmonary tuberculosis by Xichao Ou, Peilei Hu, Xundi Bao, Zhou Liu, Chong Teng, Jingwei Guo, Dongfang Xu, Yue Li, Bing Zhao, Ruida Xing, Hui Xia, Ling Ma, Yang Zhou, Yang Zheng, Yuanyuan Song, Shengfen Wang, Yanlin Zhao, Yunhong Tan, Huiwen Zheng

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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

“…Experience gained from observing system experiments (OSEs) studies confirms that reasonable profiler assimilation techniques can achieve improved short-term forecasts. This study further applies the adjoint-based forecast sensitivity to observation (FSO) method to investigate the quantitative impact of a profiler data assimilation strategy on short-term forecasts, and the results are consistent with those obtained from OSEs, further demonstrating that FSO and OSEs can be used to evaluate the effect of data assimilation techniques from different perspectives. …”
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Dynamical systems theory approach in oceanography: a review on achievements, limitations, verification and validation of Lagrangian methods by S. V. Prants

“…The modern LA explores dynamical systems theory (DST) methods to detect locations of geometric structures hidden in chaotic fluid flows and organizing transport, stirring and mixing in the ocean. …”
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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

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Interval Forecasting Using GEV Regression With Stochastic Search Variable Selection: A Simulation Study and Its Application to Forecast Imported Meat Price Range by Dedy Dwi Prastyo, Ike Yuniarti, Setiawan, Santi Puteri Rahayu

“…These insights offer a robust approach for forecasting imported meat prices while detecting potential price anomalies, directly benefiting the trade industry.…”
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Development and Future Perspectives of Air Pollution Research Using Artificial Intelligence-Based Methods: A Bibliometric Review by Olgu Aydın, Hatice Kılar

“…The findings indicate that after 2014, AI-based methods have led to a paradigm shift, playing a critical role in air pollution forecasting and modeling. …”
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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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Modification of IPI Method for Extraction of Short-Term and Imminent OLR Anomalies and Case Study of Two Large Earthquakes by Maoning Feng, Pan Xiong, Weixi Tian, Yue Liu, Changhui Ju, Cheng Song, Yongxian Zhang

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A Method for Service Function Chain Migration Based on Server Failure Prediction in Mobile Edge Computing Environment by Joelle Kabdjou, Norihiko Shinomiya

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Subway Sudden Passenger Flow Prediction Method Based on Two Factors: Case Study of the Dongsishitiao Station in Beijing by Chengguang Xie, Xiaofeng Li, Bingfa Chen, Feng Lin, Yushun Lin, Hainan Huang

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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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