Classifcation of events in information security systems based on neural networks by A. A. Mikryukov, A. V. Babash, V. A. Sizov

“…To address the problem more effectively, collective methods based on collective neural ensembles aligned with an advanced complex approach were implemented.Materials and methods: When solving complex classification problems, often none of the classification algorithms provides the required accuracy. …”
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Optimizing resource allocation in industrial IoT with federated machine learning and edge computing integration by Ala'a R. Al-Shamasneh, Faten Khalid Karim, Yu Wang

“…The study explores resource allocation in Federated Machine Learning (FedML) for the Industrial Internet of Things (IIoT), focusing on efficient and privacy-conscious data processing. It proposes optimizing the FedML training process to enhance system performance and ensure data privacy. …”
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Application of plant extracts cosmetics in the field of anti-aging by Minghui Xie, Zibing Jiang, Xingyue Lin, Xingchuan Wei

“…Natural extract cosmetics are highly favored by consumers for their safety and efficacy, aligning with consumer preferences for natural, organic, efficient and sustainable skincare concepts. Numerous plant resources in nature possess superior properties like moisturizing, barrier repair, anti-oxidation, sunscreen whitening and anti-inflammatory properties after thousands of years of natural selection. …”
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The Role of CoLab and GAITS in Enabling the RADx Tech Program by John M. Collins, Marshall R. Collins, Tamara McKenzie, Mark Marino

“…These teams collaborated in complex workflows that needed to be carefully monitored and tracked. …”
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Rootstock impacts on ‘USDA-ARS-Pawnee’ pecan growth, physiological traits, and soil microbial communities by Xinwang Wang, Keith Kubenka, Warren Chatwin, Angelyn Hilton, Braden Tondre, Tingying Xu, Lu Zhang

“…The superior growth of southern rootstocks suggests their potential for improving orchard productivity, while variations in PSR and WUE underscore the complex interactions between rootstocks and photosynthetic efficiency. …”
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Microbial biosensors for environmental monitoring by David VOGRINC, Maša VODOVNIK, Romana MARINŠEK-LOGAR

“…Although technologies, such as bioinformatics and genetic engineering, allow us to design complex and efficient microbial biosensors for environmental pollutants, the transfer of the laboratory work to the field still remains a problem to solve.…”
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Advanced Monte Carlo for Acquisition Sampling in Bayesian Optimization by Javier Garcia-Barcos, Ruben Martinez-Cantin

“…Optimizing complex systems usually involves costly and time-consuming experiments, where selecting the experiments to perform is fundamental. …”
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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Consequently, researchers focus on identifying factors that influence the selection of portfolios with high returns and controlled risk. …”
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CADA: A Flexible and Elastic DDoS Mitigation Architecture by Junrui Wu, Zhige He, Wenyong Wang, Haoran Luo, Shuisong Hu, Yu Miao, Yubo Li, Jun Deng

“…The rigidity of traditional hardware DDoS mitigation frameworks is insufficient for handling complex and varied DDoS attacks. To address this, we introduce the Cloud-native Anti-DDoS Architecture (CADA), which is designed to ensure flexibility and elasticity while enhancing the efficiency of DDoS attack mitigation. …”
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Construction of a Diagnostic Model and a lncRNA-Associated ceRNA Network Based on Apoptosis-Related Genes for Schizophrenia by Zi-long Ma, Run-lan Wang, Lili Meng

“…Background and Aim. Schizophrenia is a complex psychiatric disorder with an unknown etiology. …”
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Robust and Adaptive UAVs-Based Localization Without Predefined NLoS Error Models by Ruhul Amin Khalil, Junaid Bahadar Khan, Asiya Jehangir, Nasir Saeed

“…A two-stage Robust Regression Algorithm (RRA) is employed, combined with an adaptive UAV selection strategy, ensuring both computational efficiency and precise positioning. …”
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Systematic Review of Phase Aberration Correction Algorithms for Transcranial Focused Ultrasound by Mingyu Wang, Zhouyang Xu, Bingbing Cheng

“…However, the inhomogeneity and complex structure of the skull induce substantial phase aberrations and pressure attenuation; these can distort and shift the acoustic focus, thus hindering the efficiency of tFUS therapy. …”
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High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…These findings highlight crucial trade- offs between accuracy and efficiency, underscoring the need for model selection aligned with specific application requirements. …”
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Maize Classification in Arid Regions via Spatiotemporal Feature Optimization and Multi-Source Remote Sensing Integration by Guang Yang, Jun Wang, Zhengyuan Qi

“…This study addresses the challenges of redundant crop identification features and low computational efficiency in complex agricultural environments, particularly in arid regions. …”
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G-RCenterNet: Reinforced CenterNet for Robotic Arm Grasp Detection by Jimeng Bai, Guohua Cao

“…First, a channel and spatial attention mechanism is introduced to improve the network’s capability to extract target features, significantly enhancing grasp detection performance in complex backgrounds. Second, an efficient attention module search strategy is proposed to replace traditional fully connected layer structures, which not only increases detection accuracy but also reduces computational overhead. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…Intelligent data science improves efficiency and accuracy for implementing RWCE-TCM. The proposed data science methodology for TCM can handle complex data, ensure high-quality RWD acquisition and analysis, and provide in-depth insights into clinical benefits of TCM. …”
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The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The second direction occurs when the LSPD has been already developed, so, its main purpose becomes the permanent monitoring of its state and providing necessary adjustments. The complex of qualitative and quantitative parameters, that reflect the efficiency of supply chains are also developed by the author. …”
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Enhanced Broad-Learning-Based Dangerous Driving Action Recognition on Skeletal Data for Driver Monitoring Systems by Pu Li, Ziye Liu, Hangguan Shan, Chen Chen

“…The BLS model, optimized with sparse feature selection and Principal Component Analysis (PCA), ensures efficient processing and real-time performance. …”
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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…Chatbots such as ChatGPT can promote interactive learning, allowing students to explore complex scientific concepts through personalized support and real-time feedback. …”
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From radiolabeling to receptor quantification: preclinical assessment of [99mTc]Tc-carvedilol as a cardiac β-adrenoceptor probe by Hala F. Azhari

“…This study introduces a novel radiotracer, technetium-99m-labeled carvedilol ([99mTc]Tc-carvedilol), which advances non-invasive cardiac receptor evaluation by improving traceability and myocardial tissue selectivity. Aimed at strengthening diagnostic precision, it optimizes a selective radioligand for quantifying cardiac adrenergic receptor sites.Methods[99mTc]Tc-carvedilol was synthesized via direct radiolabeling with technetium-99m, key parameters were optimized to maximize radiolabeling efficiency and ensure a reliable and reproducible [99mTc]Tc-carvedilol complex. …”
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