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. …”
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Advancements in Nanostructured Functional Constituent Materials for Gas Sensing Applications: A Comprehensive Review by Ivana Panžić, Arijeta Bafti, Floren Radovanović-Perić, Davor Gašparić, Zhen Shi, Arie Borenstein, Vilko Mandić

“…By providing a comprehensive and up-to-date analysis, this review serves as a valuable resource for researchers and engineers, offering insights that can drive the next generation of high-performance, reliable, and selective gas sensors.…”
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Dynamic scheduling method of service function chain executors based on the mimic defense architecture by Chuanhuang LI, Jingjing TANG, Yangting CHEN, Rui LEI, Chao CHEN, Weiming WANG

“…Faced with the problem that static and lagging traditional defense technologies cannot effectively deal with new network attacks, according to the theory of mimetic security defense, a defense architecture of mimic service function chain (MSFC) based on the data forwarding level was proposed, and an execution dynamic scheduling method based on the decision feedback was further proposed.The method took the abnormal executor information fed back by the decision maker, the heterogeneity of executors and the actual load of the system as the scheduling influencing factors, so that the scheduling method can be adjusted adaptively according to the actual changes of the network.In addition, the scheduling method used decision feedback to adjust the scheduling time, so as to achieve the best balance between system cost and security, and reduce the resource overhead of the system.Simulation results showed that the scheduling method can select a set of highly heterogeneous actuators that better meet the current network requirements on the basis of balancing the system cost and security, so as to improve the security and reliability of the system.…”
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A fuzzy method for improving the functionality of search engines based on user's web interactions by Farzaneh Kabirbeyk, Ali Harounabadi, Mostafa Sabzekar

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Identification of Genomic Variants and Candidate Genes for Reproductive Traits and Growth Traits in Pishan Red Sheep Using Whole-Genome Resequencing by Maimaitijiang Muhetapa, Mengting Zhu, Aladaer Qi, Sulaiman Yiming

“…In this study, we performed whole-genome resequencing of Pishan red sheep, generating 9084.81 Gb of raw data and identifying 53,968,686 high-quality single-nucleotide polymorphisms (SNPs). Through selective sweep analysis, 92 genomic regions under selection were detected, containing 90 positional candidate genes significantly associated with growth, reproduction, and immune functions. …”
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SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC by Andrii Kopp, Ľuboš Cibák, Dmytro Orlovskyi, Dmytro Kudii

“…This features are evaluated using “soft” modeling rules based on fuzzy membership functions. Additionally, an activation function with the 0.5 threshold is used to generate binary quality indicators and calculate an integral quality assessment measure. …”
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pH-tuneable simultaneous and selective dye wastewater remediation with digestate-derived biochar: adsorption behaviour, mechanistic insights and potential application by Ifunanya R. Akaniro, Gaihong Wang, Peixin Wang, Ruilong Zhang, Wenhua Xue, Jian Ye, Jonathan W.C. Wong, Jun Zhao

“…In this study, biochar prepared from digestate was subjected to nitric acid functionalization to enhance its adsorption capacity for organic dye mixtures of methylene blue and methyl red in synthetic wastewater. …”
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A Wind Power Density Forecasting Model Based on RF-DBO-VMD Feature Selection and BiGRU Optimized by the Attention Mechanism by Bixiong Luo, Peng Zuo, Lijun Zhu, Wei Hua

“…This paper proposes a novel WPD forecasting model based on RF-DBO-VMD feature selection and BiGRU optimized by an attention mechanism. …”
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Ferro-aluminosilicate composite generated from coal gasification fine slag for the preconcentration and adsorptive removal of selected artificial sweeteners from water by Xoliswa Cingo, Azile Nqombolo, Buhle Xakalashe, Xolisa Goso, Luthando Nyaba, Odwa Mapazi, Philiswa Nosizo Nomngongo

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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Deception mechanisms of FDA‒AWACS against passive monopulse angle measurements by Bo Wang, Gang Wang, Yonglin Li, Rennong Yang, Yu Zhao

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Unveiling the placental bacterial microbiota: implications for maternal and infant health by Zhuojun Xie, Zhongsheng Chen, Yang Chai, Wang Yao, Guangyu Ma

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Design of a Non-Destructive Seed Counting Instrument for Rapeseed Pods Based on Transmission Imaging by Shengyong Xu, Rongsheng Xu, Pan Ma, Zhenhao Huang, Shaodong Wang, Zhe Yang, Qingxi Liao

“…Human–machine interaction software based on PyQt5 was developed, integrating functions such as communication between upper and lower machines, image acquisition, storage, and processing. …”
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Studying grain color diversity in the barley collection of VIR by A. Y. Glagoleva, L. A. Novokreschenov, O. Y. Shoeva, O. N. Kovaleva, E. K. Khlestkina

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Intelligent Firefighting Technology for Drone Swarms with Multi-Sensor Integrated Path Planning: YOLOv8 Algorithm-Driven Fire Source Identification and Precision Deployment Strateg... by Bingxin Yu, Shengze Yu, Yuandi Zhao, Jin Wang, Ran Lai, Jisong Lv, Botao Zhou

“…This study aims to improve the accuracy of fire source detection, the efficiency of path planning, and the precision of firefighting operations in drone swarms during fire emergencies. …”
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Hybrid Deep Neural Network Optimization with Particle Swarm and Grey Wolf Algorithms for Sunburst Attack Detection by Mohammad Almseidin, Amjad Gawanmeh, Maen Alzubi, Jamil Al-Sawwa, Ashraf S. Mashaleh, Mouhammd Alkasassbeh

“…The strength of DNNs is derived from their ability to model complex functions and to improve detection engines through deeper architecture. …”
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Computational Temporal Ghost Imaging Using Intensity-Only Detection Over a Single Optical Fiber by Jiang Tang, Yongwen Tang, Kun He, Luluzi Lu, Di Zhang, Mengfan Cheng, Lei Deng, Deming Liu, Minming Zhang

“…We propose a method of computational temporal ghost imaging over a single optical fiber using simple optical intensity detection instead of coherent detection. The transfer function of a temporal ghost imaging system over a single optical fiber is derived, which is a function of the total fiber dispersion and the power density spectrum of the light source. …”
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Spectral wavelength range influences the performance of chemometric models estimating various foliar functional traits by Minjee Park, Lorenzo Cotrozzi, Geoffrey M. Williams, Matthew D. Ginzel, Michael V. Mickelbart, Douglass F. Jacobs, John J. Couture

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Function over form: The benefits of aspen as surrogate brood‐rearing habitat for greater sage‐grouse by Michel T. Kohl, Charles P. Sandford, Paul C. Rogers, Renee Chi, Terry A. Messmer, David K. Dahlgren

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A fuzzy track-to-track association algorithm with dynamic time warping for trajectory-level vehicle detection by Siqi Wan, Huaqiao Mu, Ke Han, Taesu Cheong, Chi Xie

“…Multi-source track-to-track association (TTTA), which identifies trajectories from multiple sensors or data sources of the same dynamic vehicle, is an important data fusion technique widely applied to vehicle detection in the fields of road, marine, and aviation transportation. …”
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