An optimized LSTM-based deep learning model for anomaly network intrusion detection by Nitu Dash, Sujata Chakravarty, Amiya Kumar Rath, Nimay Chandra Giri, Kareem M. AboRas, N. Gowtham

“…The presented model uses three optimization methods, i.e., Particle Swarm Optimization (PSO), JAYA, and Salp Swarm Algorithm (SSA), to optimize the hyperparameters of LSTM. …”
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Application of colored timed Petri nets for cement production simulation by Irina A. Sedykh, Eugeny S. Anikeev

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Combined use of respiratory multiplex PCR and procalcitonin to reduce antibiotic exposure in sickle-cell adult patients with acute chest syndrome (The ANTIBIO-STA study): a randomi... by Alexandre Sabaté-Elabbadi, Armand Mekontso-Dessap, François Lionnet, Aline Santin, Charlotte Verdet, Paul-Louis Woerther, Julien Lopinto, Matthieu Turpin, Alexandra Rousseau, Romane Lacoste-Badie, Keyvan Razazi, Guillaume Voiriot, Muriel Fartoukh

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Oligogenic analysis across broad phenotypes of 46,XY differences in sex development associated with NR5A1/SF-1 variants: findings from the international SF1next studyResearch in co... by Chrysanthi Kouri, Idoia Martinez de Lapiscina, Rawda Naamneh-Elzenaty, Grit Sommer, Kay-Sara Sauter, Christa E. Flück, Saygin Abali, Zehra Yavas Abali, S. Faisal Ahmed, Leyla Akin, Maricruz Almaraz, Laura Audí, Murat Aydin, Antonio Balsamo, Federico Baronio, Jillian Bryce, Kanetee Busiah, Maria Caimari, Núria Camats-Tarruella, Ariadna Campos-Martorell, Luis Castaño, Anna Casteràs, Semra Çetinkaya, Hedi L. Claahsen - van der Grinten, Martine Cools, Ines Costa, Fatma Feyza Darendeliler, Justin H. Davies, Isabel Esteva, Helena Fabbri-Scallet, Courtney A. Finlayson, Emilio Garcia, Beatriz Garcia- Cuartero, Alina German, Evgenia Globa, Gil Guerra-Junior, Julio Guerrero, Tulay Guran, Sabine E. Hannema, Olaf Hiort, Josephine Hirsch, Ieuan Hughes, Marco Janner, Uchenna Kennedy, Zofia Kolesinska, Katherine Lachlan, Anna Lauber-Biason, Jana Krenek Malikova, Dagmar L’Allemand, Nina Lenhnerr-Taube, Angela Lucas-Herald, Jamala Mammadova, Veronica Mericq, Isabel Mönig, Francisca Moreno, Julia Mührer, Marek Niedziela, Anna Nordenstrom, Burçe Orman, Sukran Poyrazoglu, Jose M. Rial, Meilan M. Rutter, Amaia Rodríguez, Tara Schafer-Kalkhoff, Sumudu Nimali Seneviratne, Maria Sredkova-Ruskova, LIoyd J.W. Tack, Rieko Tadokoro-Cuccaro, Ajay Thankamony, Mónica Tomé, Amaia Vela, Malgorzata Wasniewska, David Zangen, Nataliya Zelinska

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A deep learning model for diagnosis of inherited retinal diseases by Freshteh Jafarbeglou, Hamid Ahmadieh, Farnaz Soleimani, Ali Karimi, Narsis Daftarian, Sahba Fekri, Tahmineh Motevasseli, Morteza Naderan, Babak Kamali Doust Azad, Abbas Sheikhtaheri, Farid Khorrami, Hemn Baghban Jaldian, Kia Bayat, Saeideh Shahbazi, Mahdi Yazdanpanah, Tahereh Sabbaghi, Kourosh Sheibani, Hadi Ghattan Kashani, Masoud Shariat Panahi, Hamideh Sabbaghi

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A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments by Maryam Abbasi, Filipe Cardoso, Paulo Váz, José Silva, Pedro Martins

“…The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve cryptography (ECC). …”
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Evaluation and analysis of barriers to the innovation activity in the economy of the region by D. A. Tomasova

“…This algorithm is determined on the basis of linguistic variables according to the matrix principle and linguistic identifi cation of economic objects. …”
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Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…Despite notable advancements, ongoing research continues to explore the full potential of ML in the identification of CHD. …”
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Voltage Regulation Strategies in Photovoltaic-Energy Storage System Distribution Network: A Review by Qianwen Dong, Xingyuan Song, Chunyang Gong, Chenchen Hu, Junfeng Rui, Tingting Wang, Ziyang Xia, Zhixin Wang

“…At the same time, this paper discusses the advantages and limitations of centralized, distributed, multi-timescale, voltage-reactive joint optimization and other regulation methods and focuses on the analysis of heuristic algorithms and algorithms based on deep reinforcement learning in the voltage regulation of the relevant research progress. …”
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Letter to the Editor – Update from Ukraine: Development of the Cloud-based Platform for Patient-centered Telerehabilitation of Oncology Patients with Mathematical-related Modeling... by Kyrylo S. Malakhov

“… This Letter to the Editor provides an update on the research from the Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine. …”
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Monitoring Socio-Economic Trends: Tools and Limitations by N. G. Kurakova, О. А. Yeremchenko

“…To achieve the sovereignization of the domestic sector of socio-economic research, it is important to formulate a new conceptual apparatus of the current socio-economic policy, as well as to develop instrumental and methodological support for the trend tracking process.The analysis of professional and open trendwatching algorithms used in this study gives grounds to note that the only area in which the trend monitoring process relies on developed methodology and tools is the creative industries. …”
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Machine Learning in the National Economy by Azamjon A. Usmonov

“…By using modern technologies such as Python, Pandas, NumPy, and Scikit-learn, the research demonstrated the ability to process and analyze large volumes of economic data with high precision. …”
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Associations between forest vertical structure and habitat preferences of black-and-white snub-nosed monkeys (Rhinopithecus bieti) in high-elevation environments by Zhipang Huang, Yuling Chen, Haitao Yang, Yihao Fang, Kai Cheng, Hongcan Guan, Cyril C. Grueter, Wen Xiao, Qinghua Guo

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The performance evaluation of chaotic maps in estimating the shape parameters of radial basis functions to solve partial differential equations by Javad Alikhani Koupaei, Mohammad Javad Ebadi, Majid Iran Pour

“…Purpose: This study aims to investigate the potential of chaotic optimization algorithms in improving performance compared to other optimization methods, focusing on determining the appropriate shape parameter of radial basis functions for solving partial differential equations.Methodology: In this research, a two-stage process is employed where the Kansa method, based on meshless local techniques, is combined with the FCW method. …”
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Supervised autoencoder MLP for financial time series forecasting by Bartosz Bieganowski, Robert Ślepaczuk

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Application of machine learning in corrosion inhibition study by Thankappan Sasilatha, Susai Rajendran, Senthil Kumaran Selvaraj, Časlav Lacnjevac, Rajendran Joseph Rathish

“…Machine Learning (ML) and Deep Learning (DL) research is now finding a home in both industry and academia. …”
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State-of-the-Art Review on the Application of Unmanned Aerial Vehicles (UAVs) in Power Line Inspections: Current Innovations, Trends, and Future Prospects by Bongumsa Mendu, Nhlanhla Mbuli

“…This work provides key insights into technological and algorithmic advancements and research trends on UAV-based power line inspections while pointing out gaps in the existing literature. …”
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Personalized approach to acute peritonitis treatment based on genetic studies by I. Yu. Polianskyi, V. I. Moskaliuk

“…Predictionofthecourseofperitonitis and the development of various complications based on genetic research allows developing algorithms of personalized therapeutic tactics, significantly improving the results of its treatment.…”
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning by Yuhang Wei, Jinfang Hou, Linhu Yang, Bin Li, Zonghao Ma, Zhao Liu, Wenhao Sun, Binlei Wang

“…It also compares the efficacy of two deep learning algorithms, Long Short-Term Memory (LSTM) and Transformer, in predicting structural conditions. …”
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A Biologically Inspired Trust Model for Open Multi-Agent Systems That Is Resilient to Rapid Performance Fluctuations by Zoi Lygizou, Dimitris Kalles

“…Finally, several key directions for future research are proposed.…”
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