Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…Ultimately, the CKG empowers experts to efficiently analyze data and gain comprehensive understanding of cyberattacks, thereby help minimize potential attack vectors.…”
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Efficient Fourier base fitting on masked or incomplete structured data by Fariba Karimi, Fariba Karimi, Esra Neufeld, Arya Fallahi, Arya Fallahi, Vartan Kurtcuoglu, Niels Kuster, Niels Kuster

“…IntroductionFourier base fitting for masked or incomplete structured data holds significant importance, for example in biomedical image data processing. However, data incompleteness destroys the simple unitary form of the Fourier transformation, necessitating the construction and solving of a linear system—a task that can suffer from poor conditioning and be computationally expensive. …”
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Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches by İnayet Burcu Toprak

“…Abstract The primary objective of this study is to evaluate the influence of critical process parameters on the hardness of AlSi10Mg alloy fabricated via the Laser Powder Bed Fusion (LPBF) technique. …”
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A Temporal Network Based on Characterizing and Extracting Time Series in Copper Smelting for Predicting Matte Grade by Junjia Zhang, Zhuorui Li, Enzhi Wang, Bin Yu, Jiangping Li, Jun Ma

“…Addressing the issues of low prediction accuracy and poor interpretability in traditional matte grade prediction models, which rely on pre-smelting input and assay data for regression, we incorporate process sensors’ data and propose a temporal network based on Time to Vector (Time2Vec) and temporal convolutional network combined with temporal multi-head attention (TCN-TMHA) to tackle the weak temporal characteristics and uncertain periodic information in the copper smelting process. …”
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On the History of the Restoration of a Multi-Party Political System in Kenya by MATVEEVA Natalia Fedorovna

“…The outcome of this struggle brought victory to KANU and largely determined the vector of the future political history of this country. …”
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Advancing Kiwifruit Maturity Assessment: A Comparative Study of Non-Destructive Spectral Techniques and Predictive Models by Michela Palumbo, Bernardo Pace, Antonia Corvino, Francesco Serio, Federico Carotenuto, Alice Cavaliere, Andrea Genangeli, Maria Cefola, Beniamino Gioli

“…Three different regression methods—Partial Least Squares (PLS), Support Vector Regression (SVR), and Gaussian process regression (GPR)—were tested to assess their predictive accuracy. …”
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Dataset and machine learning-based computer-aided tools for modeling working sorption isotherms in dried parchment and green coffee beansMendeley Data by Gentil A. Collazos-Escobar, Andrés F. Bahamón-Monje, Nelson Gutiérrez-Guzmán

“…These models are particularly valuable as digital representations of the coffee storage process and can be used to optimize storage conditions, understand hygroscopic behavior, and ensure moisture-based quality monitoring in parchment and green coffee beans. …”
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Accretion, evaporation and superradiance phase diagram of (primordial) black holes and 10−21 − 1021 eV scalar, vector, tensor fields by Caner Ünal

“…Only accretion and superradiance processes are relevant for heavy black holes, on the other hand for light black holes of primordial origin, all three processes can be relevant. …”
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Comparison Of Facies Estimation Using Support Vector Machine (SVM) And K-Nearest Neighbor (KNN) Algorithm Based on Well Log Data by Urip Nurwijayanto Prabowo*, Akmal Ferdiyan, Sukmaji Anom Raharjo, Sehah Sehah, Arya Dwi Candra

“…In this paper, two machine learning (Support vector machine and K-Nearest Neighbor) were adopted to increase the effectiveness and shorten the time process of facies classification in Z Field, Indonesia. …”
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Baculovirus and Plasmid Vector-Mediated Gene Transfer in Daphnia magna Cells in Primary Embryonic In Vitro Cultures in an Optimized Microenvironment: Methods and Protocols by C. Sreevidya, Soumya Balakrishnan, Jayesh Puthumana

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MT-Former: Multi-Task Hybrid Transformer and Deep Support Vector Data Description to Detect Novel anomalies during Semiconductor Manufacturing by Hyunsu Jeong, Chiho Yoon, Hyunseok Lim, Jaesuk Chang, Sampa Misra, Chulhong Kim

“…A whole new manufacturing process is often associated with a new set of defects that can cause serious damage to the manufacturing system. …”
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Optimising Contract Interpretations with Large Language Models: A Comparative Evaluation of a Vector Database-Powered Chatbot vs. ChatGPT by P. V. I. N. Saparamadu, Samad Sepasgozar, R. N. D. Guruge, H. S. Jayasena, Ali Darejeh, Sanee Mohammad Ebrahimzadeh, B. A. I. Eranga

“…This research addresses the gap by developing and deploying a publicly available specialised chatbot using the ChatGPT language model. The development process includes architectural design, data preparation, vector embeddings, and model integration. …”
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Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine by Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li, Tonghai Jiang

“…Protein-protein interactions (PPIs), as an important molecular process within cells, are of pivotal importance in the biochemical function of cells. …”
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Construction of several plant expression vectors using multiple cell wall degrading enzyme genes from Trichoderma harzianum and rice transformation by LIU Mei, SUN Zong-xiu, XU Tong

“…Three kinds of methods was used to solve different problems in the process of vector construction: (1) Restriction solution was used directly to ligation reaction for recovered DNA fragment usually influenced ligation frequency; (2) Using one cohensive end and one blunted end to carry out the ligation reaction was more effective than two blunted ends when restriction ends must be modified; (3) Choosing appro-priate mediated plasmid to introduce new restriction sites around certain DNA fragment and avoid linear ends modification. …”
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APPLICATION OF THE SUPPORT VECTOR MACHINE, LIGHT GRADIENT BOOSTING MACHINE, ADAPTIVE BOOSTING, AND HYBRID ADABOOST-SVM MODEL ON CUSTOMERS CHURN DATA by Felice Elena, Robyn Irawan, Benny Yong

“…Customer churn analysis is the process of identifying a pattern or trend in churning customers. …”
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Rapid one-step CRISPR-cas vector assembly by isothermal spacer removal linearization and sequence-ligation independent cloning (ISRL-SLIC) by Claus Krogh Madsen, Tobias Hanak, Henrik Aronsson, Henrik Brinch-Pedersen

“…This eliminates the need for entry vectors, pre-linearization of vectors, and in vitro ligation, thus significantly simplifying the cloning process. …”
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Dynamic Heart Rate Variability Vector and Premature Ventricular Contractions Patterns in Adult Hemodialysis Patients: A 48 h Risk Exploration by Gabriel Vega-Martínez, Francisco José Ramos-Becerril, Josefina Gutiérrez-Martínez, Arturo Vera-Hernández, Carlos Alvarado-Serrano, Lorenzo Leija-Salas

“…It proposes three algorithms to process long-term electrocardiography records: QRS complex and R-wave detection, premature ventricular contraction (PVC) identification, and tachograms. …”
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Enhanced random vector functional link based on artificial protozoa optimizer to predict wear characteristics of Cu-ZrO2 nanocomposites by Mamdouh I. Elamy, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A. Fathy, M. Elmahdy

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Identification of SLC35A1 as an essential host factor for the transduction of multi-serotype recombinant adeno-associated virus (AAV) vectors by Xiujuan Zhang, Siyuan Hao, Zehua Feng, Kang Ning, Cagla Aksu Kuz, Shane McFarlin, Donovan Richart, Fang Cheng, Ander Zhang-Chen, Richenda McFarlane, Ziying Yan, Jianming Qiu

“…Further analyses revealed that SLC35A1 KO significantly decreased vector nuclear import. More importantly, although the C-terminal cytoplasmic tail deletion (∆C Tail) mutant of SLC35A1 did not drastically decrease SIA expression, it significantly decreased rAAV transduction, as well as vector nuclear import, suggesting that the C-tail is critical in these processes. …”
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Rabbit carcasses as important vectors of multidrug-resistant Enterococcus faecalis, but not E. faecium: prevalence and molecular characterization from a study in Poland by Przemysław Knysz, Krzysztof Szkucik, Michał Gondek

“…Conclusion The high prevalence of enterococci on rabbit carcass surfaces indicates poor hygiene during the production process at rabbit abattoirs. Compared to E. faecium, E. faecalis appears better adapted to persist on the surface of rabbit carcasses and/or meat cuts in the slaughterhouse environment. …”
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