Machine learning-based estimation of seismic structural damage via an accessible web application by Vasile Calofir, Mircea-Ștefan Simoiu, Ruben-Iacob Munteanu, Emil Calofir, Sergiu-Stelian Iliescu

“…The platform utilizes gradient boosting, a machine learning algorithm selected as the most effective after evaluating several alternatives. …”
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Calculation Method for Load Capacity of Urban Rail Transit Station considering Cascading Failure by Jiajun Huang, Feng Zhou, Mengru Xi

“…Then the concept of cascading failure is introduced to the dynamic calculation model of load capacity, which is established on the user-equilibrium allocation model. The solution algorithm is optimized with node attack strategy of complex network to effectively reduce the computational complexity. …”
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The characteristic of lethality as an indicator of combinad infections by V. V. Nechaev, A. K. Ivanov, I. P. Fedunyak, V. B. Musatov, M. N. Pogromskaja, A. B. Bubochkin, L. N. Pozhidaeva, A. A. Sacra

“…High level of a lethality of persons of young age, sharp growth of tuberculosis of intra chest, intra belly lymph nodes, frequent generalization of process with involvement in process of a liver, a spleen, kidneys testifies to the leading role of HIV infection in failures of diseases. The system and algorithm of proofs about the reasons of lethal outcomes of SI have to be based on representative selections. …”
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Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift by Yange Sun, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan

“…Motivated by this challenge, we put forward an online ensemble paradigm, which aims to combine the best elements of block-based weighting and online processing. The algorithm uses the adaptive windowing as a change detector. …”
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When to start antibiotic therapy in patients with sepsis in the ICU? by V. A. Rudnov, A. U. Lekmanov, V. A. Bagin, M. N. Аstafieva

“…The change in the time algorithm for drug administration is due to the heterogeneity of the clinical situation, the lack of the unified "scenario" of interaction between the infection and host, and the need for more detail diagnostics.Conclusion. …”
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Tracking of Range and Azimuth for Continuous Imaging of Marine Target in Monopulse ISAR with Wideband Echoes by Junhao Xie, Wei Zhou, Gongjian Zhou, Yeshu Yuan, Shaobin Li

“…To relieve the estimation fluctuation and poor robustness of the RAT method with a single snapshot, a modified range and azimuth tracking approach based on centroid algorithm (RATCA) with forgotten factor and multiple echoes is then proposed. …”
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LogProb: Online Parsing Evolving Logs With Complex Parameters by Yan Li, Ziying Wang, Jiaming Mao, Zhimin Gu, Haitao Jiang

“…The extraction process includes two stages: identifying candidate templates with predicted static tokens, and using a fast matching algorithm to determine the final template. Experiments on 16 benchmark datasets show that LogProb outperforms state-of-the-art methods in accuracy while maintaining comparable efficiency.…”
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Optimisation Techniques for Compact CNN on Embedded Systems for Gesture Recognition by João Carlos Bittencourt, Walber Conceição de Jesus Rocha

“…With the advances in integrated circuit manufacturing technologies, low-power chips can now execute complex algorithms, including machine learning models. However, the computational constraints of embedded devices require compact and efficient neural network models, as well as software frameworks and optimisation techniques tailored to their hardware resources. …”
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Study of Propagation Mechanisms in Dynamical Railway Environment to Reduce Computation Time of 3D Ray Tracing Simulator by Siham Hairoud, Pierre Combeau, Yannis Pousset, Yann Cocheril, Marion Berbineau, Rodolphe Vauzelle

“…In this paper, we propose an algorithm to identify facets that have no significant impact on the wave propagation. …”
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Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

“…The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. …”
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Variable Filtered-Waveform Variational Mode Decomposition and Its Application in Rolling Bearing Fault Feature Extraction by Nuo Li, Hang Wang

“…By incorporating fractional-order constraints and dynamically adjusting filter waveforms, the proposed algorithm effectively mitigates mode mixing and over-smoothing issues. …”
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Quality prediction of semi-solid die casting of aluminum alloy in terms of machine learning by Zhiyuan Wang, Xiaogang Hu, Gan Li, Zhen Xu, Hongxing Lu, Qiang Zhu

“…In this study, a machine learning (ML) model has been developed to identify defective products through the detection of injection pressure, thereby providing a foundation for monitoring and further optimizing the manufacturing process. Among various ML algorithms, the Multilayer Perceptron (MLP) is the most effective for overall quality prediction. …”
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Parallel Multi-Scale Semantic-Depth Interactive Fusion Network for Depth Estimation by Chenchen Fu, Sujunjie Sun, Ning Wei, Vincent Chau, Xueyong Xu, Weiwei Wu

“…Although self-supervised algorithms can reduce the dependence on labeled data, the performance is still affected by scene occlusions, lighting differences, and sparse textures. …”
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Insect Detection Using mm-Waves: Integrated Communication and Biodiversity Sensing Based on Micro-Doppler Effects by Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

“…We use experiments to capture reflected signals from live insects, and introduce a semi-supervised algorithm that automatically detects signal portions exhibiting micro-Doppler effects of wing flapping. …”
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Methodological approaches to prevention of radiation-induced skin reactions in neutron-photon therapy for malignant neoplasms by E. L. Choynzonov, V. A. Lisin, О. V. Gribova, V. V. Velikaya, Zh. А. Startseva

“…We used the dependence of the relative biological effectiveness (RBE) of neutrons on the dose and time-dose-fractionation model (tdF). the interaction of neutrons with various types of tissues was analyzed, and the algorithm for summing neutron and photon doses in neutronphoton therapy was developed.Results. …”
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Methodology for Modeling Coupled Rigid Multibody Systems Using Unitary Quaternions: The Case of Planar RRR and Spatial PRRS Parallel Robots by Francisco Cuenca Jiménez, Eusebio Jiménez López, Mario Acosta Flores, F. Peñuñuri, Ricardo Javier Peón Escalante, Juan José Delfín Vázquez

“…The systems of equations were solved using the Broyden–Fletcher–Goldfarb–Shanno nonlinear programming algorithm and Mathematica V12 symbolic computation software. …”
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Neuroinflammation and its role in the pathogenesis of attention deficit hyperactivity disorder (literature review) by R. F. Gasanov, I. V. Makarov, D. A. Emelina, A. S. Avtenuk

“…The prospects of developing algorithms for the diagnosis and treatment of attention deficit hyperactivity disorder are noted.…”
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Transformers—Messages in disguise by Joshua H. Tyler, Donald R. Reising, Mohamed M.K. Fadul

“…Compared to human-designed algorithms, Neural Network (NN)-based cryptography can create a new NN-specific cryptographic scheme that changes every time the NN is (re)trained. …”
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GUIDELINE FOR MEDICO-SOCIAL CARE DEPARTMENTS IN CHILDREN’S POLYCLINICS by V. Yu. Al'bitskii, N. V. Ustinova, O. V. Kulikov, A. V. Kim, M. V. Muratova, Z. A. Roslova, N. V. Timakova, A. L. Rubezhov, A. Z. Farrakhov, R. F. Shavaliev

“…Secondly, the common algorithm of this type of care was described (sociological methods — participant observation, in-depth interviews, experts interviews — were used). …”
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Multi-Platform Detection of Melon Leaf Abnormalities Using AVGHEQ and YOLOv7 by Sahrial Ihsani Ishak, Karlisa Priandana, Sri Wahjuni

“…The system employs preprocessing with Average Histogram Equalization (AVGHEQ) to enhance image quality, followed by modeling with the YOLOv7 algorithm on a dataset of 469 training images and 52 test images, validated through 5-fold cross-validation. …”
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