Early detection of disease outbreaks and non-outbreaks using incidence data: A framework using feature-based time series classification and machine learning. by Shan Gao, Amit K Chakraborty, Russell Greiner, Mark A Lewis, Hao Wang

“…Forecasting the occurrence and absence of novel disease outbreaks is essential for disease management, yet existing methods are often context-specific, require a long preparation time, and non-outbreak prediction remains understudied. …”
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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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Innovo GenMax MTB-RIF/INH: a moderate-complexity automated NAAT for rapid simultaneous detection of Mycobacterium tuberculosis complex and rifampin/isoniazid resistance by Xichao Ou, Bing Zhao, Huiwen Zheng, Ruida Xing, Qian Sun, Zhonghua Qin, Lixia Zhang, Kai Cui, Yuanyuan Song, Yang Zheng, Yang Zhou, Shengfen Wang, Hui Xia, Yanlin Zhao

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A duplex one-step recombinase aided PCR assay for the rapid and sensitive detection of the isoniazid resistance genes katG and inhA in Mycobacterium tuberculosis by Zhiqiang Han, Zhiqiang Han, Zhiqiang Han, Xichao Ou, Ruiqing Zhang, Xiaona Lv, Xiaona Lv, Xiaona Lv, Yuxin Wang, Yuxin Wang, Yuxin Wang, Hongyi Li, Hongyi Li, Hongyi Li, Xinxin Shen, Xuejun Ma, Yanqing Tie

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Performance evaluation of gridded satellite-based rainfall products against gauge observations in the Shire River Basin, Malawi by Sheila Kavwenje, Cosmo Ngongondo, Zuze Dulanya, Patsani Kumambala, Maurice Monjerezi

“…New Hydrological Insights for the Region: CHIRPS demonstrated consistent accuracy across most timescales, particularly during the wet season, while TAMSAT excelled in rainfall detection, supporting flood forecasting and timely decision-making in agricultural planning. …”
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Development of Smart Models to Accurately Predict Dynamic Viscosity of CO2-Saturated Polyethylene Glycol by Ayat Hussein Adhab, Morug Salih Mahdi, Bhavesh Kanabar, Anupam Yadav, Ranganathaswamy M K, Rishabh Thakur, Parveen Kumar, Braj Krishna, Aseel Salah Mansoor, Usama Kadem Radi, Nasr Saadoun Abd, Samim Sherzod

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DBA-RTMDet: A High-Precision and Real-Time Instance Segmentation Method for Identification of Damaged Buildings in Postearthquake UAV Imagery by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu, Yuanhao Wang

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The GRAZ Method—Determination of Urban Surface Temperatures from Aerial Thermography Based on a Three-Dimensional Sampling Algorithm by Daniel Rüdisser, Thomas Posch, Wolfgang Sulzer

“…The atmospheric profiles are generated specifically for the time of the survey based on measurements, meteorological forecasts and generic models. The method was initially developed for application in urban contexts, as it is able to capture the pronounced three-dimensional character of such environments. …”
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Impact of detection rate and preventive treatment of latent tuberculosis infection on the future burden of tuberculosis among students in shanghai: a predictive study using Markov... by Xiao Xiao, Zhipeng Li, Jing Chen, Xin Shen

“…Methods A Markov model incorporating six distinct states of TB transmission was utilized to simulate disease dynamics within a hypothetical cohort of 100,000 individuals. …”
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The use of artificial intelligence to analyze and optimize financial flows by М. А. Miakisheva

“…The relevance of the topic is argued by the rapid growth in the volume of transactions in the global economy, combined with the inability of traditional methods to provide truly effective processing of multidimensional dynamic data in real time. …”
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Duty of care, data science, and gambling harm: A scoping review of risk assessment models by Virve Marionneau, Kim Ristolainen, Tomi Roukka

“…Methods: In line with the PRISMA guidelines for scoping reviews, we systematically retrieved academic studies, reports, and industry initiatives that used statistical methodologies to predict, model, or forecast gambling behaviour. …”
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TRYING TO DETERMINE THE DEVELOPMENT TRENDS OF THE RUSSIAN ECONOMY by A. A. Frenkel, Ya. V. Sergienko, N. N. Volkova, O. N. Matveeva

“…The paper deals with the development of integral indices to assess the overall state of the economy. A method of calculating three indices is described: leading, synchronous and lagging with the focus on the leading index that detects turning points in the dynamics of the economy. …”
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Useful Biomarkers for Preeclampsia: Evaluating the Diagnostic Potential of FIB-4 and FIB-5 Indices by Mehmet Albayrak, Hilmi Furkan Arslan

“…Various indices have been created to facilitate the early detection of liver issues. Among these, the Fibrosis-4 index (FIB-4) and Fibrosis-5 index (FIB-5) have been utilized for several years to forecast liver dysfunction. …”
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Integration of deep learning and railway big data for environmental risk prediction models and analysis of their limitations by Liuhui Quan, Minjie Wang, Lyu Baihang, Zhang Ziwen, Zhang Ziwen, Zhang Ziwen

“…To address these gaps, we propose a novel framework leveraging deep learning techniques tailored to railway big data. Our method integrates temporal encoders and spatial graph neural networks, combined with domain-specific knowledge and contextual awareness, to achieve robust anomaly detection, predictive maintenance, and passenger demand forecasting. …”
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The role of computational intelligence techniques in the advancements of solar photovoltaic systems for sustainable development: a review by Ranganai Tawanda Moyo, Mendon Dewa

“…The study includes the involvement of CI techniques for parameter identification of solar cells, PV system sizing, maximum power point tracking (MPPT), forecasting, fault detection and diagnosis, inverter control and solar tracking systems. …”
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Machine learning frameworks to accurately estimate the adsorption of organic materials onto resin and biochar by Raouf Hassan, Mohammad Reza Kazemi

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A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of <i>Staphylococcus aureus</i> by Li Liu, Junjing Xue, Yang Song, Taijie Zhan, Yang Liu, Xiaohui Song, Li Mei, Duochun Wang, Yu Vincent Fu, Qiang Wei

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An adaptive prediction method for ultra-short-term generation power of power system based on the improved long- and short-term memory network of sparrow algorithm by Peipei Yang, Zhidong Chen, Wen Tang, Zongyang Liu, Bingrui He

“…Abstract To achieve adaptive and accurate ultra-short-term power generation forecasting in power systems, this study proposes a novel prediction method combining Sparrow Search Algorithm (SSA) with Long Short-Term Memory (LSTM) networks. …”
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A Novel Monitoring Method of Wind-Induced Vibration and Stability of Long-Span Bridges Based on Permanent Scatterer Interferometric Synthetic Aperture Radar Technology by Jiayue Ma, Xiaojun Xue, Guoliang Zhi, Haoyang Zheng, Hanqing Zhu

“…By leveraging the spatial accuracy and long-term monitoring capability of PS-InSAR, along with the time-series forecasting strength of ARMA models, the method enables data-driven analysis of bridge vibrations. …”
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