Overlapping community-based fair influence maximization under a multi-transformation optimization algorithm by Chunfeng Jiang, Zegang Niu, Jingru Qu, Yulan Zhao, Amin Rezaeipanah

“…The algorithm adapts to different transformations without the need for manual selection, allowing it to efficiently explore the solution space. …”
Get full text

Calculation of Weighted Geometric Dilution of Precision by Chien-Sheng Chen, Yi-Jen Chiu, Chin-Tan Lee, Jium-Ming Lin

“…The proposed formulae can reduce the computational complexity required for computing the matrix inversion. …”
Get full text

Development of a hybrid adaptive control system for pyrolysis plants: A comparative study of conventional and intelligent approaches by Rysbek Aitolkyn, Sergazin Gani, Zhetenbayev Nursultan

“…The analysis focuses on key performance indicators such as reliability, adaptability, integration complexity, and predictive capability. Due to the nonlinear and dynamic nature of pyrolysis, selecting an appropriate control architecture is essential for improving efficiency, product quality, and environmental safety. …”
Get full text

2D nonlinear seismic response characteristics of a megacity-scale site under Ricker wavelets by Wei Ren, Yan-Zhen Wang, Jiao Zhu, Ding-Feng Zhao, Qi Wu, Guo-Xing Chen

“…Ricker wavelets with varying peak times, peak frequencies (f p), and amplitudes were selected as input bedrock motions. The analysis revealed the spatial distribution characteristics of 2D nonlinear seismic effects on the surface of deep and complex sedimentary layers. …”
Get full text

Decoding PM_2.5 Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM by Minru Chen, Binglin Liu, Mingzhi Liang, Nini Yao

“…The study systematically compares the performance of each model from the spatial and temporal dimensions using indicators such as mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R²). The results show that the LightGBM model has a strong ability to mine complex nonlinear relationships, but its stability is poor. …”
Get full text

Spectrum‐sensing algorithm based on graph feature fusion by Shanshan Wu, Guobing Hu, Bin Gu

“…Thus, compared to existing algorithms, except block range‐ and energy‐detection‐based methods, the proposed algorithm demonstrates the best spectrum‐sensing performance under low SNRs and channel‐fading conditions, while achieving the lowest computational complexity. The proposed approach enables more efficient and accurate spectrum sensing, fostering advancements in communication technologies and defence applications.…”
Get full text

Optimization of Sparse Concentric Ring Arrays for Low Sidelobe by Kesong Chen, Yafei Li, Jiajia Shi

“…The MGA uses real number to code the optimization variable, and it reduces the complexity of coding and improves the search efficiency. …”
Get full text

Predicting Ship Waiting Times Using Machine Learning for Enhanced Port Operations by Min-Hwa Choi, Woongchang Yoon

“…ANOVA tests confirm numerous differences in model performance and computational complexity. The results demonstrated that tree-based ensemble models outperform deep learning models in this setting. …”
Get full text

Structure of seed productivity of antocians containing broad beans and features of mycoflora soil under them by Yu. N. Kurkina

“…To assess the similarity of the complexes of soil micromycetes under varieties of beans, a similarity coefficient was used.Results. …”
Get full text

Recent Advances in Understanding the Keys Factors Influencing Pressurized Liquid Extraction of Secondary Metabolites: A Comprehensive Review by Pauline Donn, Sepidar Seyyedi-Mansour, Franklin Chamorro, Paula Garcia-Oliveira, Javier Echave, Ana Perez-Vazquez, Paula Barciela, Lucia Cassani, Miguel Angel Prieto

“…This communication provides an overview of recent advancements in understanding the key factors influencing the efficiency and selectivity of the PLE of these bioactive compounds. …”
Get full text

A network traffic classification method based on random forest and improved convolutional neural network by Bensheng YUN, Xiaoya GAN, Yaguan QIAN

“…In order to improve the efficiency and reduce the complexity of network traffic classification model, a classification method based on random forest and improved convolutional neural network was proposed.Firstly, the random forest was used to evaluate the importance of each feature of network traffic, and the feature was selected according to the importance ranking.Secondly, AdamW optimizer and triangular cyclic learning rate were adopted to optimize the convolutional neural network classification model.Then, the model was built on Spark cluster to realize the parallelization of model training.Adopting triangular cyclic learning rate with constant cycle amplitude, the experimental results of selecting 1 024, 400, 256 and 100 most important features as input show that the model accuracy is improved to 97.68%, 95.84%, 95.03% and 94.22%, respectively.The 256 most important features were selected and the experimental results based on adopting different learning rates show that the learning rate with half the cycle amplitude works best, the accuracy of the model is improved to 95.25%, and training time of the model is reduced by nearly half.…”
Get full text

Evaluation of Intrusion Detection Systems in Cyber Security using Fuzzy OffLogic and MCDM Approach by Zhengrui Yang

“…In this study, thirteen widely used IDS models are assessed using a multi-criteria evaluation framework across four key dimensions: detection accuracy, resource efficiency, scalability, and false positive rate. The goal is to support informed, datadriven decision-making for stakeholders such as policymakers, IT administrators, and security analysts when selecting an appropriate IDS. …”
Get full text

Improved SLM algorithm for PAPR reduction in OFDM system by Ce JI, Wenjing ZHU, Ying WEI, Dianxia JIA

“…In order to reduce the peak to average power ratio (PAPR) of the conventional selective mapping (SLM) algorithm,decrease the transmission of side-band information,and improve the spectral efficiency in the orthogonal frequency division multiplexing (OFDM) system,the TL-SLM algorithm based on the conversion matrix and the chaotic sequence was proposed firstly.Although the TL-SLM algorithm could effectively decrease the transmission of side-band information,the reduction of PA P R was limited.To solve this problem,an improved TL-SLM algorithm based on the rotation vector was proposed,which was the TR-SLM algorithm.TR-SLM algorithm introduced the rotation vector to generate more time-domain alternative signals to further reducing the PA P R.The performance analysis shows that although the TL-SLM algorithm and the TR-SLM algorithm increase the complexity a little,the PA P R performance is effectively improved and the transmission of side-band information is greatly reduced.…”
Get full text

Underwater acoustic signal denoising method based on DBO–VMD and singular value decomposition by A. Weiyi Chen, B. Shizhe Wang, C. Zongji Li, D. Li Dong

“…Second, the adaptive threshold is calculated by comprehensively considering the correlation coefficient and the multivariate permutation entropy, and it is used as the basis for selecting effective modal components and reconstructing the signal. …”
Get full text

Modeling Organizational Justice and Job Satisfaction with the Mediating Role of Organizational Indifference by Ali soboohi, hadi hematian, Abolfazl danaee

“…The results of recent studies show that organizations need to improve their efficiency. In this regard, it is believed that a constructive, advanced, and sustainable culture is the foundation for improving the efficiency of organizations (Olan et al, 2019). …”
Get full text

Validation of the Group Environment Questionnaire (GEQ) in a Simulated Learning Environment by José Manuel García-Álvarez, Alfonso García-Sánchez, Alonso Molina-Rodríguez, María Suárez-Cortés, José Luis Díaz-Agea

“…<b>Background/Objectives</b>: The complexity of modern healthcare requires teamwork. Healthcare teams must be cohesive to ensure efficient and quality care. …”
Get full text

Greener solvents in extraction of proteins and peptides by Katarína Maráková

“…The sample pretreatment still represents a fundamental aspect of any analytical workflow, and the implementation of sustainable and efficient extraction of proteins is essential to satisfy the increasing requirements for high-quality extraction of proteins from their natural sources. …”
Get full text

Comparison of Hadoop Mapreduce and Apache Spark in Big Data Processing with Hgrid247-DE by Firmania Dwi Utami, Femi Dwi Astuti

“…This study provides valuable insights into the strengths and limitations of each framework, offering guidance for practitioners and researchers when selecting the appropriate tool for specific big data processing requirements, particularly with respect to speed, memory usage, and task complexity.…”
Get full text

New fruit waste-derived activated carbons of high adsorption performance towards metal, metalloid, and polymer species in multicomponent systems by Sylwia Kukowska, Piotr Nowicki, Katarzyna Szewczuk-Karpisz

“…In the two-component systems, polymers could favour metal/metalloid adsorption based on complexation phenomena. However, the most efficient and environmentally safe activated carbon turned out to be the one obtained from orange peels by microwave-assisted, direct activation at 800 °C in the CO2 atmosphere.…”
Get full text

Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
Get full text