Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models by Tooba Alizadeh, Majid Rezaei Banafsheh, Hashem Rostamzadeh, Gholamreza Goodarzi, Hedar Maleki, Hamzeh Alizadeh

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Implementing GitHub Actions continuous integration to reduce error rates in ecological data collection by Albert Y. Kim, Valentine Herrmann, Ross Barreto, Brianna Calkins, Erika Gonzalez‐Akre, Daniel J. Johnson, Jennifer A. Jordan, Lukas Magee, Ian R. McGregor, Nicolle Montero, Karl Novak, Teagan Rogers, Jessica Shue, Kristina J. Anderson‐Teixeira

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TBM Advanced Geological Prediction via Ellipsoidal Positioning Velocity Analysis by Zhen Gao, Xin Rong, Wei Wang, Bin Huang, Junqiang Liu

“…Traditional seismic wave-based tunnel advanced geological forecasting techniques are primarily designed for drill and blast method construction tunnels. …”
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An IoT Framework for the Detection of Lung Cancer Using a Decision Support System by Ahamd Habboush, Bassam Elzaghmouri, Binod Kumar Pattanayak, Pravat Kumar Rautaray

“… Cancer remains an ongoing global health challenge, necessitating the progress of innovative techniques for early detection and risk assessment. In this study, a comprehensive method is presented for predicting lung cancer by utilizing a carefully curated dataset consisting of 1000 individuals from the Kaggle dataset. …”
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Time-Series Large Language Models: A Systematic Review of State-of-the-Art by Shamsu Abdullahi, Kamaluddeen Usman Danyaro, Abubakar Zakari, Izzatdin Abdul Aziz, Noor Amila Wan Abdullah Zawawi, Shamsuddeen Adamu

“…Key findings reveal advancements in architectures and novel tokenization strategies tailored for temporal data. Forecasting dominates the identified tasks with 79.66% of the selected studies, while classification and anomaly detection remain underexplored. …”
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Detection of Staphylococcus Enterotoxin sea and seb in Milk Samples by Duplex Droplet Digital PCR by Xiaoyue Wei, Wenzhou Wang, Tong Wang, Yuhua Yang, Yahui Guo, Lijin Long, Jiaming Fan, Fanliang Meng, Wentao Liu, Wanting Wang, Yakun Zhao, Jianling Chen, Fei Zhao, Jianzhong Zhang, Xiaomei Yan

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Optimising Solar Power Plant Reliability Using Neural Networks for Fault Detection and Diagnosis by Mohammed Bouzidi, Abdelfatah Nasri, Omar Ouledali, Messaoud Hamouda

“…This study introduces an intelligent method to monitor grid-connected solar power stations, focussing on detecting problems in their energy output through the use of artificial neural networks (ANN). …”
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Automated detection and identification of white-backed planthoppers in paddy fields using image processing by Qing YAO, Guo-te CHEN, Zheng WANG, Chao ZHANG, Bao-jun YANG, Jian TANG

“…A new three-layer detection method was proposed to detect and identify white-backed planthoppers (WBPHs, Sogatella furcifera (Horváth)) and their developmental stages using image processing. …”
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The Detectability of Coronal Mass Ejections in the Low Corona Using Multislit Extreme-ultraviolet Spectroscopy by Lami Chan, Xianyong Bai, Hui Tian, Yufei Feng, Yu Xu, Tibor Török, Yuhang Gao, Tanmoy Samanta, Zheng Sun

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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…Objective The integrity management of urban gas pipeline networks demands effective risk assessment methods. Corrosion leakage risk assessment necessitates the comprehensive integration of risk assessment factors with various detection operations. …”
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Detection of Low-Flying Target under the Sea Clutter Background Based on Volterra Filter by Hongyan Xing, Yan Yan

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A Transformer-based Approach for aAnomaly Detection in Wire eElectrical Discharge by Waleed Hammed, Ameer H. Al-Rubaye, Bashar S. Bashar, Merzah Kareem Imran, Mustafa Ghanim Rzooki, Ali Mohammed Hashesh

“…Our method is able to achieve 94.32 % and 94.16 % accuracy in Z 135 and Z 15 datasets, respectively. …”
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CURRENT ISSUES OF APPLICATION OF FOREIGN EXPERIENCE OF PREDICTING THE ECONOMIC NEEDS IN QUALIFIED PERSONS IN PRACTICE OF GOVERNMENT MANAGEMENT IN RUSSIAN FEDERATION by I. Gorokhova, E. Nikitskaya, N. Sorokina

“…It was noted that a holistic approach to forecasting the needs of the national economies in qualified personnel was developed abroad, based on the optimal combination of quantitative and qualitative methods. …”
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HYPERANDROGENISM OF PUBERTY AGE AS A FACTOR REDUCING FERTILITY by E. M. Bogatyreva, G. A. Novik, G. F. Kutusheva

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Detecting Student Engagement in an Online Learning Environment Using a Machine Learning Algorithm by Youssra Bellarhmouch, Hajar Majjate, Adil Jeghal, Hamid Tairi, Nadia Benjelloun

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Integrated neural network framework for multi-object detection and recognition using UAV imagery by Mohammed Alshehri, Tingting Xue, Tingting Xue, Ghulam Mujtaba, Yahya AlQahtani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…The modular yet unified architecture is designed to handle spatiotemporal dynamics, making it suitable for real-time deployment in diverse UAV platforms.MethodThe framework suggests using today’s best neural networks that are made to solve different problems in aerial vehicle analysis. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…The existing research on voice-based depression detection has many problems, such as complicated feature extraction, single data expansion and uncontrollable prediction bias in regression prediction. …”
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Predicting pathogen evolution and immune evasion in the age of artificial intelligence by D.J. Hamelin, M. Scicluna, I. Saadie, F. Mostefai, J.C. Grenier, C. Baron, E. Caron, J.G. Hussin

“…Due to the COVID-19 pandemic accelerating the development of pandemic mitigation and preparedness strategies, many of the methods discussed here were designed in the context of SARS-CoV-2 evolution. …”
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Development of an in-house dual RT-qPCR assay for detecting SFTSV and Hantaan virus simultaneously by Xiaoyu Xue, Youde Liu, Chuan Song, Tingting Liu, Zishuai Liu, Wenjing Niu, Zhouling Jiang, Yanli Xu, Yuanyuan Zhang, Ling Lin, Zhihai Chen

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Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease by Wenjun Wang, Lanxiang Wu, Chao Ouyang, Tao Huang

“…This study aimed to explore the underlying mechanisms of MM in COPD using bioinformatics methods.MethodsThe datasets GSE57148 and GSE8581 were downloaded from Gene Expression Omnibus (GEO), and 1,234 mitochondrial metabolism-related genes (MM-RGs) were downloaded from the literature. …”
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