scikit-fda: A Python Package for Functional Data Analysis by Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez

“…In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: Pipelines, model selection, and hyperparameter tuning, among others. …”
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Function of boundary rivers in hydropolitics cooperation:Danube river study by Murad Kaviani Rad, Afshin Motaghi Disfani, Hossein Mokhtari Hashi, Ahmad Rashidinejad

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Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system by Radwa S. A. Gad, Hegazy Zaher, H. Al-Wahsh, M. H. Eid, Wael M. AlMetwaly, Islam M. Abdelqawee

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Macroeconomic Effects of Oil Price Shocks in the Context of Geopolitical Events: Evidence from Selected European Countries by Mariola Piłatowska, Andrzej Geise

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Cities in transition: Krakow‘s social, economic and spatial transformation within the last thirty years (selected aspects) by Anna Karwińska, Dorota Jopek, Michał Kudłacz, Michał Wiśniewski

“…Therefore, depending on the availability of statistical data, several time periods were selected and compared with each other in the most important areas of Krakow’s functioning. …”
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Optimization of the defense forces personnel under mobilization conditions: The role of occupational selection as a personnel allocator by V. V. Kalnysh, A. V. Shvets

“…The proposed conceptual model of optimization of the occupational selection system in the defense forces reflects 4 main elements and functions of it. …”
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Identification, functional analysis, and clinical applications of defective viral genomes by Xiaowei Yan, Yitong Pan, Peiying Li, Li Zhu, Jianhai Yu, Chenguang Shen, Bao Zhang, Wei Zhao

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TEDVIL: Leveraging Transformer-Based Embeddings for Vulnerability Detection in Lifted Code by Gary A. McCully, John D. Hastings, Shengjie Xu

“…Notably, these results are achieved when the embedding model is trained with a dataset of just 48,000 functions, demonstrating effectiveness in resource-constrained settings. …”
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Comparative Analysis of Deep Learning Models for Intrusion Detection in IoT Networks by Abdullah Waqas, Sultan Daud Khan, Zaib Ullah, Mohib Ullah, Habib Ullah

“…However, the constrained processing capacities and resource limitations of IoT networks make them especially susceptible to cyber threats. …”
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Water quality anomaly detection research based on GRU-PINN model by Zhao Xinyu

“…Maintaining high-quality water resources is essential for sustainable urban water resource management and public health. …”
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Fuzzy deep learning architecture for cucumber plant disease detection and classification by Anas Bilal, Junaid Ali Khan, Abdulkareem Alzahrani, Khalid Almohammadi, Maha Alamri, Xiaowen Liu

“…The proposed approach is efficient and feasible, offering a more stable and accurate disease detection system while utilizing fewer resources. This work demonstrates the potential of AI-driven solutions in agriculture, particularly in improving disease detection and crop yield through advanced machine learning techniques.…”
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Plug-and-Play Robust Aerial Object Detection Under Hazy Conditions by Wei Wu, Hao Chang, Zhiwen Chen, Zhu Li

“…Moreover, we also propose a detection feature pyramid loss function to more accurately restore object features. …”
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A review of deep learning models to detect malware in Android applications by Elliot Mbunge, Benhildah Muchemwa, John Batani, Nobuhle Mbuyisa

“…Android applications are indispensable resources that facilitate communication, health monitoring, planning, data sharing and synchronization, social interaction, business and financial transactions. …”
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DEM-based topographic change detection considering the spatial distribution of errors by Yufeng He, Shaohua Lei, Wen Dai, Xi Chen, Bo Wang, Yehua Sheng, Hui Lin

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Encapsulation Techniques to Enhance Astaxanthin Utilization as Functional Feed Ingredient by Matteo Vitale, Joaquin Gomez-Estaca, Janete Chung, Seong-Chea Chua, Daniela Maria Pampanin

“…Overall, these findings demonstrate the potential of the selected encapsulation techniques to optimize the stability, bioavailability, and functionality of AX, providing valuable insights to improve its utilization as a functional ingredient in fish feed formulations.…”
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A Universal Tire Detection Method Based on Improved YOLOv8 by Chi Guo, Mingxia Chen, Junjie Wu, Haipeng Hu, Luobing Huang, Junjie Li

“…However, traditional methods of tire defect detection have encountered problems such as slow detection speed, complex tire defect backgrounds, and limited hardware resources. …”
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Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

“…., highly toxic and bioaccumulative contaminants in water sources, has become a critical environmental concern. …”
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Lightweight obstacle detection for unmanned mining trucks in open-pit mines by Guangwei Liu, Jian Lei, Zhiqing Guo, Senlin Chai, Chonghui Ren

“…In addition, this paper also adopts the amplitude-based layer adaptive sparse pruning algorithm (LAMP) to further compress the model size while maintaining efficient detection performance. Through this pruning strategy, the model further reduces its dependence on computing resources while maintaining key performance. …”
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CERTAINTY/UNCERTAINTY AS GRAMMATICAL AND AS A HIDDEN FUNCTIONAL-SEMANTIC CATEGORY by Hanna M. Udovichenko

“…For the pair of languages being studied, Ukrainian (source language, non-article) and English (target language, article) were selected. …”
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Data- and knowledge-derived functional landscape of human solute carriers by Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga

“…To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. …”
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