Spatial-Temporal Semantic Feature Interaction Network for Semantic Change Detection in Remote Sensing Images by Yuhang Zhang, Wuxia Zhang, Songtao Ding, Siyuan Wu, Xiaoqiang Lu

“…Experimental results show that the proposed STS-FINet achieves better change detection performance than SOTA methods.…”
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Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection by Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou

“…The method encourages the model to mine forgery features and learns generic and robust features not limited to a particular feature. …”
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Post marketing safety assessment of the novel postpartum depression drug, Zuranolone: evidence from real-world pharmacovigilance analysis based on the FDA adverse event reporting s... by Duoqin Huang, Zixin Luo, Xi Gong, Kang Zou, Yu Peng, Shaoying Zeng

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Network intrusion detection based on relative mutual K-nearest neighbor density peak clustering by Chunhua Ren, Changyuan Wang, Yang Yu, Wanan Yang, Ruiqi Guo

“…The experimental results show that the proposed method performs exceptionally well in the clustering task and can effectively mine network intrusion information.…”
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PS-GCN: psycholinguistic graph and sentiment semantic fused graph convolutional networks for personality detection by Wenjuan Liu, Zhengyan Sun, Subo Wei, Shunxiang Zhang, Guangli Zhu, Lei Chen

“…Additionally, a sentence group model captures combined features of related sentences, effectively utilising the text structure to mine sentimental features. Experimental results on multiple datasets demonstrate that the proposed method significantly improves the classification accuracy in personality detection tasks.…”
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Petrophysics Parameter Inversion and Its Application Based on the Transient Electromagnetic Method by Xiaozhen Teng, Jianhua Yue, Kailiang Lu, Danyang Xi, Herui Zhang, Kua Wang

“…The transient electromagnetic (TEM) method is a widely used geophysical technique for detecting subsurface electrical structures. …”
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Induced eddy currents characteristics of coal gangue-based functional concrete in compression process by Meng XIAO, Feng JU, Zequan HE, Pai NING, Tengfei WANG, Dong WANG

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Analyzing customer churn behavior using datamining approach: hybrid support vector machine and logistic regression in retail chain by Mohammad Barzegar, Aliakbar Hasani

“…For this purpose, the organization must have an efficient system to detect and analyze the factors influencing customer churn. …”
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Advancing coal fire detection model for large-scale areas based on RS indices and machine learning by Jinglong Liu, Feng Zhao, Yunjia Wang, Yanan Wang, Sen Du, Libo Dang, Jordi J. Mallorqui

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BS-GAT: a network intrusion detection system based on graph neural network for edge computing by Yalu Wang, Zhijie Han, Ying Du, Jie Li, Xin He

“…Therefore, it is crucial to explore intelligent, automated, and resilient methods for network intrusion detection. Graph neural network-based techniques for network intrusion detection have been proposed by many scholars recently. …”
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Novel Adaptive Hidden Markov Model Utilizing Expectation–Maximization Algorithm for Advanced Pipeline Leak Detection by Omid Zadehbagheri, Mohammad Reza Salehizadeh, Seyed Vahid Naghavi, Mazda Moattari, Behzad Moshiri

“…Recently, there has been a growing trend in employing data mining techniques for detecting leaks. Among these methods is the Hidden Markov Model, which, despite good results with stationary data, becomes inefficient when a leak causes a drop in the pressure or flow, reducing its accuracy. …”
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Precision Marketing Method of E-Commerce Platform Based on Clustering Algorithm by Bei Zhang, Luquan Wang, Yuanyuan Li

“…In user cluster analysis, users with the same or similar behavior characteristics are divided into the same group by iterative update clustering, and the core and larger user groups are detected. In this paper, we present the formulation and data mining of the correlation rules based on the clustering algorithm through the definition and procedure of the algorithm. …”
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Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti

“…Abstract ARLClustering is an open-source R package for community detection in social networks. Unlike traditional methods that rely on structural properties such as modularity, degree centrality, and clustering coefficient, ARLClustering leverages association rule mining (ARM) to identify meaningful interaction patterns based on users’ friendship activity. …”
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Investigating methods for forensic analysis of social media data to support criminal investigations by Muhammad Arshad, Ashfaq Ahmad, Choo Wou Onn, Emmanuel Arko Sam, Emmanuel Arko Sam

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Monitoring of the dynamics of antimicrobial resistance among wounded in the conditions of armed conflict by L. K. Sorokoumova, A. A. Kozhokaru, S. Yu. Yaremin, О. І. Zhorniak

“…Monitoring the sensitivity of microorganisms to antibacterial drugs in patients with various types of injuries caused by military events. Materials and methods. Bacteriological examination of biological material using Vitek-2 Biomerieux automated pathogen systems and classic, followed by determination of sensitivity using the disk-diffusion method. …”
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Investigating the Efficacy of Topological Methods for Optimal Sensor Placement in Water Distribution Systems by Ludovica Palma, Armando Di Nardo, Fatemeh Hatam, Giovanni Francesco Santonastaso, Michèle Prévost

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Advanced comparative analysis of machine learning algorithms for early Parkinson's disease detection using vocal biomarkers by Ajay Kumar, Jay Parkash Singh, Priyanka Paygude, Rachan Daimary, Sandeep Prasad

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Nonlinear Determination Method for Self-Heating Initiative Temperature of Sulfide Ores by Huimin Jin, Wei Pan, Xue Shen, Shuangyi Cheng

“…The purpose of this article is to explore a new method to determine the self-heating initiative temperature of sulfide ores for preventing spontaneous combustion of sulfide ores. …”
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DAFDM: A Discerning Deep Learning Model for Active Fire Detection Based on Landsat-8 Imagery by Xu Gao, Wenzhong Shi, Min Zhang, Lukang Wang

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Application of Aeromagnetic Survey in Detecting Potential Mineralization Zones Around Dongzhongla Deposit, Gangdese Metallogenic Belt by Ning Lu, Junfeng Li, Qingmin Meng, Weidong Gao, Junjie Liu, Yongbo Li, Yongzai Xi, Hongshan Zheng

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