Analyzing key users’ behavior trends in volunteer-based networks by Nofar Piterman, Tamar Makov, Michael Fire

“…In many social networks, volunteers play a central role, and their behavior in volunteer-based networks has been studied extensively. …”
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Wavelet-based stochastic finite element analysis of steel girders by Marcin Kamiński, Michał Jan Guminiak, Anna Knitter-Piątkowska, Olga Kawa

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Map Matching for Fixed Sensor Data Based on Utility Theory by Kangkang He, Qi Cao, Gang Ren, Dawei Li, Shuichao Zhang

“…Map matching can provide useful traffic information by aligning the observed trajectories of vehicles with the road network on a digital map. It has an essential role in many advanced intelligent traffic systems (ITSs). …”
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Identification of Key Modules of Lung Cancer in Gene Regulatory Network using Greedy Modularity Optimization Approach by Zahra Sadat Mirghadery, Mehrdad Kargari, Mostafa Akhavan-Safar

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Research on the Nonlinear Relationship Between Carbon Emissions from Residential Land and the Built Environment: A Case Study of Susong County, Anhui Province Using the XGBoost-SHA... by Congguang Xu, Wei Xiong, Simin Zhang, Hailiang Shi, Shichao Wu, Shanju Bao, Tieqiao Xiao

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Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants by Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban

“…Subsequently, the Benders decomposition algorithm is used to split the model into a master problem and a subproblem. …”
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Defect intelligent recognition of membrane product based on deep learning by Maonian Wu, Ling Li, Wei Peng, Tao Wu, Jinwei Yu, Bo Zheng, Shaojun Zhu

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Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet by Jirong Ding, Runlian Huang, Yehua Liang, Xin Weng, Jianjun Chen, Haotian You

“…To address this challenge, this study proposes the Oilpalm-RTMDET model, which is based on the RTMDET algorithm. First, the SimSPPF structure is used to replace the SPPF structure of backbone, then the CSP-ELAN structure is used to replace the CSPLayer structure in the original neck, and the UpsamplingBiliearn is used as the upsampling method. …”
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Prediction of Aerosol Particle Size Distribution Based on Neural Network by Yali Ren, Jiandong Mao, Hu Zhao, Chunyan Zhou, Xin Gong, Zhimin Rao, Qiang Wang, Yi Zhang

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Self-adaptive simulation method for natural gas pipeline considering temperature and pressure compensations by Xiong YIN, Bo XU, Tianyao LIU, Kai WEN, Weihe HUANG, Jing GONG

“…The objective is to address the core algorithm for online simulation, which is not disclosed in foreign commercial software. …”
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Design and Application of Digital Twin-Based Brain Control System by Yinan Wang, Hongyang Jin, Zongwei Yao, Zhiyong Chang, Deping Wang

“…Therefore, this paper proposes a DT-based BCI (DT-BCI) system framework, using a brain-controlled vehicle as a case study to detail the roles and functions of each element within the framework. …”
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Bioinformatics-based screening and validation of PANoptosis-related biomarkers in periodontitis by Qing Sun, Qing Sun, JinYue Hu, JinYue Hu, RuYue Wang, RuYue Wang, ShuiXiang Guo, ShuiXiang Guo, GeGe Zhang, GeGe Zhang, Ao Lu, Ao Lu, Xue Yang, Xue Yang, LiNa Wang, LiNa Wang

“…Key genes were selected based on integration with rank-sum test results. …”
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Classification of imbalanced travel mode choice dataset with SMOTE and prediction using interpretable machine learning by Mujahid Ali

“…However, logistic regression was found to be the least accurate among the models. Based on feature importance, it was found that features like driver’s license status, vehicle ownership, income levels, and urban/rural classification play significant roles in determining TMC. …”
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Identification of novel potential biomarkers using bulk RNA and single cells to build a neural network model for diagnosis of liver cancer by Yingzheng Gao, Jiahao Chen, Weidong Du

“…We used multiple machine algorithms to find hub genes related to liver cancer, and constructed new artificial neural network models based on their transcriptome expression patterns to assist in the diagnosis of liver cancer. …”
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Stochastic Gradient Descent for Kernel-Based Maximum Correntropy Criterion by Tiankai Li, Baobin Wang, Chaoquan Peng, Hong Yin

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Recent Advances in Smart Phone-Based Biosensors for Various Applications by Enpeng Xing, Hongfei Chen, Xianglin Xin, Haoran Cui, Yanzhi Dou, Shiping Song

“…With breakthroughs in other technologies, smart phone-based biosensors are poised to play an important character role in the future.…”
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STUDY ON THE USE OF COMPUTER BASED INFORMATION SYSTEMS IN PRODUCTION MANAGEMENT by Mirela PLESA (CHIRIACESCU)

“…The aim of this paper is to highlight the role of computer based information systems in managing the resources of agricultural companies in order to forecast agricultural production and to study, from several points of view, the impact of climate change, respectively the changes brought by them. …”
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Target Detection Label Assignment Method Based on Global Information by ZHANG Pei-pei, LU Zhen-yu

“…Aiming at this problem, this paper proposes a target detection label allocation method based on global information, which uses the assignment method to establish a global optimal label allocation mathematical model based on the loss function in the model training stage, and gives the fusion mode of the model with other object detection models, and the role played by the method in the process of object detection. …”
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PREDICTION OF SOFTWARE ANOMALIES METHODS BASED ON ENSEMBLE LEARNING METHODS by Raghda Azad Hasan, Ibrahim Ahmed Saleh

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Unsupervised Learning for Heart Disease Prediction: Clustering-Based Approach by Jetty Janani., Sk Sajida Sultana., Polepalle Ranga Bhavitha., Parusu Vishwitha.

“…This paper on the prediction of heart disease addresses the application of unsupervised machine learning algorithms, digs up the latent pattern of risk in the data of patients for early diagnosis, and intervenes. …”
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