ProcessM: Intelligent Process Mining software by Tomasz P. Pawlak, Jędrzej Potoniec

“…ProcessM generates process models in standard representations like BPMN and tracks changes in processes. …”
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How to speak like a brontëan byronic hero by Petra Zajc, Monika Kavalir

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Di-Higgs production via axion-like particles by Fabian Esser, Maeve Madigan, Alexandre Salas-Bernárdez, Veronica Sanz, Maria Ubiali

“…This refined ALP-induced production process would allow for the identification of the h h → 4 b-jet final state and could potentially probe the TeV scale using data from Run 2 of the LHC. …”
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CHITINASE-LIKE PROTEINS AS PROMISING MARKERS IN CANCER PATIENTS by I. V. Larionova, T. N. Sevastyanova, A. A. Rakina, N. V. Cherdyntseva, Ju. G. Kzhyshkowska

“…In the present review we collected the main studies regarding the role of chitinase-like proteins (CLPs), belonging to the family of Glyco_18 domain-containing proteins, in different cancers. …”
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Using natural language processing to extract self-harm and suicidality data from a clinical sample of patients with eating disorders: a retrospective cohort study by Rina Dutta, Hitesh Shetty, Ulrike Schmidt, André Bittar, Charlotte Cliffe, Sumithra Velupillai, Aida Seyedsalehi, Katerina Vardavoulia

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Advanced Computer Vision Techniques for Accurate Measurement in Unmanned Mobile Robots by Bharathi V, Natraj N A, Gopinath S, Kiruthikaa R

“…For years, researchers have been studying computer vision, i.e. the ability of artificial intelligence (AI) systems to perceive and interpret visual data like humans. This study is gaining increasing attention as researchers aim to develop tools that automate visual tasks and replicate human visual awareness. …”
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Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation by Babak Kasraei, Margaret G. Schmidt, Daniel D. Saurette, Chuck E. Bulmer, Jin Zhang, Travis Pennell, Kingsley John, Brandon Heung

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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

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Fast and accurate RFD-like descriptor approximation for SIMD architectures by Artem Sher, Anton Trusov, Mikhail Maksimenko, Elena Limonova, Vladimir L. Arlazarov

“…We adapt it to use Single Instruction Multiple Data extensions of CPUs at all stages of the descriptor computation pipeline. …”
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Metacontrol instructions lead to adult-like event segmentation in adolescents by Xianzhen Zhou, Foroogh Ghorbani, Veit Roessner, Bernhard Hommel, Astrid Prochnow, Christian Beste

“…The study shows that adolescent cognitive processes can be shifted toward adult-like performance through instructions.…”
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Designing a System Architecture for Dynamic Data Collection as a Foundation for Knowledge Modeling in Industry by Edmund Radlbauer, Thomas Moser, Markus Wagner

“…This leads to more efficient process control and opens new perspectives for managing and analyzing big data in production environments. …”
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Microwave drying kinetic characteristics of yellow phosphorus-like materials by jiayu HE, lei XU, yongfen SUN, hang LI

“…Four thin-layer drying kinetic models were used to fit the relevant experimental data, revealing that the Modified Page model was the most suitable for describing the microwave drying process of the material. …”
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Genomic insights into Rett syndrome-like features in Bangladeshi participants by Hosneara Akter, Muhammad Mizanur Rahman, Rabeya Akter Mim, Atikur Rahaman, Md., Tamannyat Binte Eshaque, Syed Akib Hossain, Athoi Ganguly, Farjana Binta Omar, Masuma Afrin Taniya, Nahid Hasan, Md., Amirul Islam, Bassam Jamalalail, Nasna Nassir, Binte Zehra, Shaoli Sarker, K.M. Furkan Uddin, A.H.M. Nurun Nabi, Marc Woodbury-Smith, Mohammed Uddin

“…ES was subsequently conducted on the 13 participants who tested negative for MECP2 variants. Data were processed using the Genome Analysis Toolkit and American College of Medical Genetics and Genomics-guided pathogenicity analysis was conducted with ANNOVAR and GenomeArc Horizon. …”
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High-dimensional control charts with application to surveillance of grease damage in bearings of wind turbines by Tahir Mahmood, Fuhad Ahmed, Muhammad Riaz, Nasir Abbas

“…Traditional multivariate control charts, like Hotelling’s [Formula: see text] chart, perform adequately with lower-dimensional data. …”
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Exploration of the relationships between the information and communication technology (ICT) and the education system in Morocco by Abdelkarim Taam, Amine Amar, Brahim Hmedna, Khalid Benabbes, El Menzhi Kaoutar, Rachid Daoudi, Adil El Makrani

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Wireless Sensor Networks: From Fundamentals and Applications to Innovations and Future Trends by Maria Trigka, Elias Dritsas

“…Wireless Sensor Networks (WSNs) have transformed data acquisition and processing across diverse domains such as environmental monitoring, healthcare, and industrial automation. …”
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OLAP Techniques for Approximation and Mining Query Answering by Murtadaha Hamd, Waleed Hassan

“…Through this research, theoretical concepts which are related with OLAP and Data Warehouse are studied in detail. In this work the SALES Data Warehouse  (<strong>SALESDW</strong>) , procedures are implemented and algorithms are developed like ODBC (Open DataBase Connectivity) for different sources, and Data cleansing to carry out the consistency of Data Warehouse (DW). …”
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dpVision: Environment for multimodal images by Dariusz Pojda, Mateusz Żarski, Agnieszka Anna Tomaka, Leszek Luchowski

“…The dpVision (data processing for vision) software framework offers a flexible, open source platform for implementing and testing various data and image processing algorithms. …”
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Deploying Android-Based Smart RSUs with YOLOv8 and SAHI for Enhanced Traffic Management by Mohammed F. Rashad, Qutaiba I. Ali

“…Future research will integrate functionalities like pedestrian detection and vehicle tracking to further enhance smart transportation systems. …”
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Best practices for AI-based image analysis applications in aquatic sciences: The iMagine case study by Elnaz Azmi, Khadijeh Alibabaei, Valentin Kozlov, Tjerk Krijger, Gabriele Accarino, Sakina-Dorothée Ayata, Amanda Calatrava, Marco Mariano De Carlo, Wout Decrop, Donatello Elia, Sandro Luigi Fiore, Marco Francescangeli, Jean-Olivier Irisson, Rune Lagaisse, Martin Laviale, Antoine Lebeaud, Carolin Leluschko, Enoc Martínez, Germán Moltó, Igor Ruiz Atake, Antonio Augusto Sepp Neves, Damian Smyth, Jesús Soriano-González, Muhammad Arabi Tayyab, Vanessa Tosello, Álvaro López García, Dick Schaap, Gergely Sipos

“…Additionally, iMagine fosters collaboration with projects like AI4EOSC and Blue-Cloud, and Research Infrastructures such as EMSO and SeaDataNet, expanding its impact on the scientific community.This paper summarizes the key lessons and best practices learned in the iMagine project through the full process of AI-based aquatic image analysis, from data preparation and annotation to model deployment and evaluation. …”
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