Traffic classification in SDN-based IoT network using two-level fused network with self-adaptive manta ray foraging by Mohammed A. Aleisa

“…The results demonstrate the effectiveness of the Two-Level Fused Network and SMRFO in outperforming state-of-the-art classification methods, providing a scalable solution for SDN-based IoT traffic management.…”
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Integrating Machine Learning for Predictive Maintenance on Resource-Constrained PLCs: A Feasibility Study by Riccardo Mennilli, Luigi Mazza, Andrea Mura

“…The findings underscore the potential of the Finder Opta™ to support scalable and efficient predictive maintenance solutions, laying the groundwork for future research in real-time anomaly detection. …”
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Advancing Computational Humor: LLaMa-3 Based Generation with DistilBert Evaluation Framework by He Jinliang, Mei Aohan

“…These results demonstrate the model's exceptional capability in generating humor, offering a more efficient and scalable solution for applications such as conversational agents and entertainment platforms. …”
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Designing a Digital Platform to Enhance Financial Literacy and Sustainability of Tahfiz Institutions by Muhammad Imran Mohd Irsham, Nooraslinda Abdul Aris, Mira Susanti Amirrudin

“…It is anticipated that the app could extend its impact beyond individual institutions, evolving into a widely recognized and scalable tool for financial empowerment in Islamic educational settings. …”
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Enhancing energy resilience in enterprises: a multi-criteria approach by Pholoso Lebepe, Tebello N. D. Mathaba

“…This sector-specific approach advances both academic understanding and industrial practice by providing a scalable, multidimensional tool for enhancing energy resilience.…”
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Exploring the use of tutorial recordings for beginner distance learners of Chinese by Pleines Christine, Kan Qian

“…Previous research into listening to recorded tutorial interaction highlights the potential of tutorial recordings as a scalable resource in online contexts. Dialogue between tutor and learner or between peers may mediate the understanding not just of direct participants, but also of listeners, and listening to interactive recordings may facilitate deep learning. …”
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Demonstrating Efficient and Robust Bosonic State Reconstruction via Optimized Excitation Counting by Tanjung Krisnanda, Clara Yun Fontaine, Adrian Copetudo, Pengtao Song, Kai Xiang Lee, Ni-Ni Huang, Fernando Valadares, Timothy C.H. Liew, Yvonne Y. Gao

“…Finally, ORENS relies only on the ability to accurately measure the excitation number of a given CV state, making it a versatile and accessible tool for a wide range of CV platforms and readily scalable to multimode systems. Thus, our work provides a crucial and valuable primitive for practical quantum information processing using bosonic modes.…”
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Mapping employment dynamics in public agencies with payroll data: A methodological framework with an application to Chile. by Mauricio Herrera, Daniel Brieba

“…Additionally, the methodology contributes to the literature by providing transparent and scalable tools for analyzing workforce stability across different contexts.…”
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Metasurface-Enabled Microphotonic Biosensors via BIC Modes by Francesco Dell’Olio

“…Additionally, recent advancements in fabrication techniques that enable precise BIC control with scalable approaches for practical biosensing applications are examined. …”
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Single-cell RNA-seq data augmentation using generative Fourier transformer by Nima Nouri

“…By streamlining single-cell data augmentation, scGFT offers a scalable solution to mitigate data scarcity in cell-targeted research.…”
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Extracting equations of motion from superconducting circuits by Christian Z. Pratt, Kyle J. Ray, James P. Crutchfield

“…This leads to efficient and practical circuit prototyping, as well as accessing scalable circuit architectures. The analytical efficiency is demonstrated by reproducing the potential energy landscape generated by a SQUID. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…Conventional measures such as accuracy, precision, recall, and F1-score are employed to assess the model’s ability in correctly identifying SQL while reducing false positive classifications.The present study demonstrates the potential of Naive Bayes in enhancing online application security by providing a methodical and scalable strategy for identifying SQL injection attacks.…”
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Application and Demand Model of 5G Communication Technology in Hydrology by LIU Yunshan, LIU Xunhua, GUO Dongrong

“…In the context of hydrological modernization,the existing communication technology is unable to support the ever-increasing requirements.At present,the application of 5G in many fields has achieved good results.However,there is no in-depth analysis and research on its application situation in the hydrological industry and the demand of the hydrological industry based on 5G.Depending on the analysis of the station network,informatization status and communication technology application regarding hydrology in Ganzhou,the pilot application of 5G in Ganzhou demonstrates that 5G communication technology has obvious advantages over the current communication technology in terms of high-definition video surveillance,hydrological factors monitoring and software system.The analysis of hydrological demand based on 5G yields that demand points for 5G are mainly reflected in hydrological monitoring,equipment technology,video surveillance,software system,hydrological services and Internet of Things related to hydrology,hydrological management and other scalable business.The connection between demand points is also established to build a demand model of 5G-based intelligent hydrology.Noteworthily,the mature application of 5G in the hydrological field to support intelligent hydrology still suffers from some problems,such as low industrialization of support equipment,high cost,small signal coverage and difficult talent training.The next research direction is also proposed in this paper.…”
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Beyond predefined ligand libraries: a genetic algorithm approach for de novo discovery of catalysts for the Suzuki coupling reactions by Julius Seumer, Jan H. Jensen

“…This work not only proves the potential of genetic algorithms in the cost-effective and scalable discovery of new catalysts but also sets the stage for future exploration beyond predefined chemical spaces, enhancing the toolkit available for catalyst design.…”
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Atlas of multilineage stem cell differentiation reveals TMEM88 as a developmental regulator of blood pressure by Sophie Shen, Tessa Werner, Samuel W. Lukowski, Stacey Andersen, Yuliangzi Sun, Woo Jun Shim, Dalia Mizikovsky, Sakurako Kobayashi, Jennifer Outhwaite, Han Sheng Chiu, Xiaoli Chen, Gavin Chapman, Ella M. M. A. Martin, Di Xia, Duy Pham, Zezhuo Su, Daniel Kim, Pengyi Yang, Men Chee Tan, Enakshi Sinniah, Qiongyi Zhao, Sumedha Negi, Meredith A. Redd, Joseph E. Powell, Sally L. Dunwoodie, Patrick P. L. Tam, Mikael Bodén, Joshua W. K. Ho, Quan Nguyen, Nathan J. Palpant

“…Abstract Pluripotent stem cells provide a scalable approach to analyse molecular regulation of cell differentiation across developmental lineages. …”
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Soft X-ray tomography reveals variations in B. subtilis biofilm structure upon tasA deletion by Anthoula Chatzimpinou, Anne Diehl, A. Tobias Harhoff, Kristina Driller, Bieke Vanslembrouck, Jian-Hua Chen, Kristaps Kairišs, Valentina Loconte, Mark A. Le Gros, Carolyn Larabell, Kürşad Turgay, Hartmut Oschkinat, Venera Weinhardt

“…Adding TasA protein to the ΔtasA strain restored matrix density and led to cell assembly compaction, but without the chaining observed in wild-type biofilms. This scalable and transferable approach opens new avenues for examining biofilm structure and function across various species, including mixed biofilms, and response to genetic and environmental factors.…”
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Artificial intelligence in education: advancing educational digital inclusion for adults older with diverse neuromuscular conditions by Paula Andrea Valencia-Londoño, Hilderman Cardona-Rodas, Jovani A. Jiménez-Builes

“…Future research should explore scalable implementations and long-term impacts, particularly for broader demographic groups and other disability types. …”
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Quantum Hall effect in a CVD-grown oxide by Oleksandr Zheliuk, Yuliia Kreminska, Qundong Fu, Davide Pizzirani, Emily L.Q.N. Ammerlaan, Ying Wang, Sardar Hameed, Puhua Wan, Xiaoli Peng, Steffen Wiedmann, Zheng Liu, Jianting Ye, Uli Zeitler

“…This oxide platform exhibits characteristic advantages in structural flexibility due to its layered nature, making it suitable for scalable growth. The unique small mass distinguishes Bi2O2Se from other high-mobility oxides, providing a new platform for exploring quantum Hall physics in 2D oxides.…”
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Action Recognition in Basketball with Inertial Measurement Unit-Supported Vest by Hamza Sonalcan, Enes Bilen, Bahar Ateş, Ahmet Çağdaş Seçkin

“…This research contributes to the field by presenting a new dataset of basketball movements, comparing the effectiveness of various feature extraction and machine learning methods, and offering a scalable, efficient, and accurate action recognition system for basketball.…”
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Phospho-seq: integrated, multi-modal profiling of intracellular protein dynamics in single cells by John D. Blair, Austin Hartman, Fides Zenk, Philipp Wahle, Giovanna Brancati, Carol Dalgarno, Barbara Treutlein, Rahul Satija

“…While multimodal single-cell sequencing technologies are rapidly advancing, scalable and flexible profiling of cell signaling states alongside other molecular modalities remains challenging. …”
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