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  1. 1001
  2. 1002

    Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

    Published 2022-03-01
    “…The proposals of experts on new algorithms for the choice of non-invasive / invasive examination of this category of patients were also considered. …”
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  3. 1003

    Comparison of Neural Network, Ordinary Kriging, and Inverse Distance Weighting Algorithms for Seismic and Well-Derived Depth Data: A Case Study in the Bjelovar Subdepression, Croat... by Ana Brcković, Tomislav Malvić, Jasna Orešković, Josipa Kapuralić

    Published 2025-06-01
    “…In contrast, NN and machine learning algorithms are used in many fields, and these algorithms, particularly the fitting of hyperparameters in NN, simply cannot be the best solution for all.…”
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  4. 1004
  5. 1005

    Joint Optimization of Caching and Recommendation with Performance Guarantee for Effective Content Delivery in IoT by Zhiyong Liu, Hong Shen, Hui Tian

    Published 2025-07-01
    “…Experimental results demonstrate that our algorithm dramatically improves the popular least-recently used (LRU) algorithm. …”
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  6. 1006

    Optimization of roof slope, design and wood strength classes in timber Fink type truss by Iuri Fazolin Fraga, Matheus Henrique Morato de Moraes, Isabella Silva Menezes, Wanderlei Malaquias Pereira Junior, Francisco Antonio Rocco Lahr, André Luis Christoforo, Sergio Neves Monteiro, Afonso Rangel Garcez de Azevedo

    Published 2025-08-01
    “…Over time, empirical assumptions have influenced the design of timber roof structures has been observed, such as those related to roof slope. Many builders assume that lower slopes reduce material consumption since shorter elements are required. …”
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  7. 1007

    Machine learning assisted design of reactor steels with high long-term strength and toughness by Ivan Trofimov, Pavel Korotaev, Ivan Ivanov, Anton Malginov, Allen Tokhtamyshev, Alexey Yanilkin, Ivan Kruglov

    Published 2025-06-01
    “…Steels are among the most important, as they are used in many areas of life, including aerospace, oil and gas, nuclear energy, and various other high-tech industries. …”
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  8. 1008

    Multi-objective optimization of urban block configuration to enhance outdoor thermal comfort: A case study of district 12, Tehran by Mozhgan Mousaeipour, Haniyeh Sanaieian, Mohsen Faizi, Ainaz Alafchi, S. M. Amin Hosseini

    Published 2025-09-01
    “…Urban block configuration significantly impacts outdoor thermal comfort (OTC). While many studies have examined the effects of individual variables such as building orientation and the height-to-width ratio (H/W) on OTC, there has been limited systematic optimization of multiple configuration variables simultaneously. …”
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  9. 1009

    Harnessing the power of gradient-based simulations for multi-objective optimization in particle accelerators by Kishansingh Rajput, Malachi Schram, Auralee Edelen, Jonathan Colen, Armen Kasparian, Ryan Roussel, Adam Carpenter, He Zhang, Jay Benesch

    Published 2025-01-01
    “…Multi-objective optimization (MOO) is particularly challenging due to trade-offs between the objectives. Evolutionary algorithms, such as genetic algorithms (GAs), have been leveraged for many optimization problems, however, they do not apply to complex control problems by design. …”
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  10. 1010

    The impact of rainfall and slope on hillslope runoff and erosion depending on machine learning by Naichang Zhang, Zhaohui Xia, Peng Li, Qitao Chen, Ganggang Ke, Fan Yue, Fan Yue, Yaotao Xu, Tian Wang

    Published 2025-04-01
    “…IntroductionSoil erosion is a critical issue faced by many regions around the world, especially in the purple soil hilly areas. …”
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  11. 1011

    Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

    Published 2025-01-01
    “…In this paper, we analyze the force and velocity components acting on the straw, give the design principles for the screw’s conveying parameters under the premise of ensuring maximum conveying capacity and minimum power consumption, and determine the optimal design variables, objective functions, and constraints according to the specific optimization problem; we establish a specific mathematical model, and introduce algorithm optimization for nonlinear problems with many variables and large amounts of calculations. …”
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  12. 1012

    Predicting Hospitalization and Related Outcomes in Advanced Chronic Kidney Disease: A Systematic Review, External Validation, and Development Study by Roemer J. Janse, Jet Milders, Joris I. Rotmans, Fergus J. Caskey, Marie Evans, Claudia Torino, Maciej Szymczak, Christiane Drechsler, Christoph Wanner, Maria Pippias, Antonio Vilasi, Vianda S. Stel, Nicholas C. Chesnaye, Kitty J. Jager, Friedo W. Dekker, Merel van Diepen, Andreas Schneider, Anke Torp, Beate Iwig, Boris Perras, Christian Marx, Christiane Drechsler, Christof Blaser, Christoph Wanner, Claudia Emde, Detlef Krieter, Dunja Fuchs, Ellen Irmler, Eva Platen, Hans Schmidt-Gürtler, Hendrik Schlee, Holger Naujoks, Ines Schlee, Sabine Cäsar, Joachim Beige, Jochen Röthele, Justyna Mazur, Kai Hahn, Katja Blouin, Katrin Neumeier, Kirsten Anding-Rost, Lothar Schramm, Monika Hopf, Nadja Wuttke, Nikolaus Frischmuth, Pawlos Ichtiaris, Petra Kirste, Petra Schulz, Sabine Aign, Sandra Biribauer, Sherin Manan, Silke Röser, Stefan Heidenreich, Stephanie Palm, Susanne Schwedler, Sylke Delrieux, Sylvia Renker, Sylvia Schättel, Theresa Stephan, Thomas Schmiedeke, Thomas Weinreich, Til Leimbach, Torsten Stövesand, Udo Bahner, Wolfgang Seeger, Adamasco Cupisti, Adelia Sagliocca, Alberto Ferraro, Alessandra Mele, Alessandro Naticchia, Alex Còsaro, Andrea Ranghino, Andrea Stucchi, Angelo Pignataro, Antonella De Blasio, Antonello Pani, Aris Tsalouichos, Bellasi Antonio, Biagio Raffaele Di Iorio, Butti Alessandra, Cataldo Abaterusso, Chiara Somma, Claudia D’alessandro, Claudia Torino, Claudia Zullo, Claudio Pozzi, Daniela Bergamo, Daniele Ciurlino, Daria Motta, Domenico Russo, Enrico Favaro, Federica Vigotti, Ferruccio Ansali, Ferruccio Conte, Francesca Cianciotta, Francesca Giacchino, Francesco Cappellaio, Francesco Pizzarelli, Gaetano Greco, Gaetana Porto, Giada Bigatti, Giancarlo Marinangeli, Gianfranca Cabiddu, Giordano Fumagalli, Giorgia Caloro, Giorgina Piccoli, Giovanbattista Capasso, Giovanni Gambaro, Giuliana Tognarelli, Giuseppe Bonforte, Giuseppe Conte, Giuseppe Toscano, Goffredo Del Rosso, Irene Capizzi, Ivano Baragetti, Lamberto Oldrizzi, Loreto Gesualdo, Luigi Biancone, Manuela Magnano, Marco Ricardi, Maria Di Bari, Maria Laudato, Maria Luisa Sirico, Martina Ferraresi, Michele Provenzano, Moreno Malaguti, Nicola Palmieri, Paola Murrone, Pietro Cirillo, Pietro Dattolo, Pina Acampora, Rita Nigro, Roberto Boero, Roberto Scarpioni, Rosa Sicoli, Rosella Malandra, Silvana Savoldi, Silvio Bertoli, Silvio Borrelli, Stefania Maxia, Stefano Maffei, Stefano Mangano, Teresa Cicchetti, Tiziana Rappa, Valentina Palazzo, Walter De Simone, Anita Schrander, Bastiaan van Dam, Carl Siegert, Carlo Gaillard, Charles Beerenhout, Cornelis Verburgh, Cynthia Janmaat, Ellen Hoogeveen, Ewout Hoorn, Friedo Dekker, Johannes Boots, Henk Boom, Jan-Willem Eijgenraam, Jeroen Kooman, Joris Rotmans, Kitty Jager, Liffert Vogt, Maarten Raasveld, Marc Vervloet, Marjolijn van Buren, Merel van Diepen, Nicholas Chesnaye, Paul Leurs, Pauline Voskamp, Peter Blankestijn, Sadie van Esch, Siska Boorsma, Stefan Berger, Constantijn Konings, Zeynep Aydin, Aleksandra Musiała, Anna Szymczak, Ewelina Olczyk, Hanna Augustyniak-Bartosik, Ilona Miśkowiec-Wiśniewska, Jacek Manitius, Joanna Pondel, Kamila Jędrzejak, Katarzyna Nowańska, Łukasz Nowak, Maciej Szymczak, Magdalena Durlik, Ś zyszkowska Dorota, Teresa Nieszporek, Zbigniew Heleniak, Andreas Jonsson, Anna-Lena Blom, Björn Rogland, Carin Wallquist, Denes Vargas, Emöke Dimény, Fredrik Sundelin, Fredrik Uhlin, Gunilla Welander, Isabel Bascaran Hernandez, Knut-Christian Gröntoft, Maria Stendahl, Maria Svensson, Marie Evans, Olof Heimburger, Pavlos Kashioulis, Stefan Melander, Tora Almquist, Ulrika Jensen, Alistair Woodman, Anna McKeever, Asad Ullah, Barbara McLaren, Camille Harron, Carla Barrett, Charlotte O’Toole, Christina Summersgill, Colin Geddes, Deborah Glowski, Deborah McGlynn, Dympna Sands, Fergus Caskey, Geena Roy, Gillian Hirst, Hayley King, Helen McNally, Houda Masri-Senghor, Hugh Murtagh, Hugh Rayner, Jane Turner, Joanne Wilcox, Jocelyn Berdeprado, Jonathan Wong, Joyce Banda, Kirsteen Jones, Lesley Haydock, Lily Wilkinson, Margaret Carmody, Maria Weetman, Martin Joinson, Mary Dutton, Michael Matthews, Neal Morgan, Nina Bleakley, Paul Cockwell, Paul Roderick, Phil Mason, Philip Kalra, Rincy Sajith, Sally Chapman, Santee Navjee, Sarah Crosbie, Sharon Brown, Sheila Tickle, Suresh Mathavakkannan, Ying Kuan

    Published 2025-07-01
    “…Therefore, we searched existing literature for existing methods to predict hospitalizations and related outcomes. Although many algorithms exist, they are often not available for use or are not reliable. …”
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  13. 1013

    Studi Komparatif Program Visual Dinamis untuk Pembelajaran Algoritma dan Pemograman Berorientasi Objek by Kursehi Falgenti

    Published 2020-07-01
    “… As beginners, many first-year students have difficulty understanding object-oriented programming material. …”
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  14. 1014

    Recommender systems and the amplification of extremist content by Joe Whittaker, Seán Looney, Alastair Reed, Fabio Votta

    Published 2021-06-01
    “…Policymakers have recently expressed concerns over the role of recommendation algorithms and their role in forming “filter bubbles”. …”
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  15. 1015

    Research of Models of Topological Relations of Spatial Objects by Vladislav G. Gorshkov, Dmitriy M. Murin, Olga P. Yakimova

    Published 2022-09-01
    “…The generalization automation still remains an open issue for data producers and users. Many researchers are working to achieve a higher level of automation. …”
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    A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations by Avimita Chatterjee, Sonny Rappaport, Anish Giri, Sonika Johri, Timothy Proctor, E. David Bernal Neira, Pratik Sathe, Thomas Lubinski

    Published 2025-01-01
    “…Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. …”
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  18. 1018

    A hybrid Hadoop-based sentiment analysis classifier for tweets associated with COVID-19 utilizing two machine learning algorithms: CNN, and fuzzy C4.5 by Fatima Es-sabery, Ibrahim Es-sabery, Junaid Qadir, Beatriz Sainz-de-Abajo, Begonya Garcia-Zapirain

    Published 2024-12-01
    “…Abstract In recent years, research on opinion mining from X (formerly Twitter) has rapidly advanced, focusing on processing tweets to determine user sentiments about events. Many researchers prefer using machine and deep learning techniques for this analysis. …”
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