SYSTEMIC GENERATION OF SOLVING NECESSARY PROFESSIONAL THE TASKS by Vladimir M. Nesterenko

“…The article explains the widespread use of mathematical modeling and computational experiment in solving scientific and technical problems. …”
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Differentiating between obstructive and non‐obstructive azoospermia: A machine learning‐based approach by Abdolreza Haghpanah, Nazanin Ayareh, Ashkan Akbarzadeh, Dariush Irani, Fatemeh Hosseini, Farid Sabahi Moghadam, Mohammad Ali Sadighi Gilani, Iman Shamohammadi

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Multi-Spectral Optimization for Tissue Probing Using Machine Learning by Yarden Tzabari Kelman, Hadas Lupa Yitzhak, Nadav Shabairou, Shahaf Finder, Zeev Zalevsky

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Modeling of spatial spread of COVID-19 pandemic waves in Russia using a kinetic-advection model by V. V. Aristov, A. V. Stroganov, A. D. Yastrebov

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Deep Learning-Based Adaptive Downsampling of Hyperspectral Bands for Soil Organic Carbon Estimation by Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan

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Frequency-Domain Collaborative Lightweight Super-Resolution for Fine Texture Enhancement in Rice Imagery by Zexiao Zhang, Jie Zhang, Jinyang Du, Xiangdong Chen, Wenjing Zhang, Changmeng Peng

“…Experiments on the 4× downsampled rice test set demonstrate that the proposed method achieves a 62% reduction in parameters compared to EDSR, 41% lower computational cost (30 G) than MambaIR-light, and an average PSNR improvement of 0.68% over other methods in the study while balancing memory usage (227 M) and inference speed. …”
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LSENet: A Lightweight Spectral Enhancement Network for High-Quality Speech Processing on Resource-Constrained Platforms by Hyeong Il Koh, Sungdae Na, Myoung Nam Kim

“…Additionally, to capture the long-range contextual dependencies of the extracted features, an improved dual-path recurrent neural network is introduced between the encoder and decoder structures. …”
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DDoS Attack Detection in SDN-Assisted Federated Learning Environment Based on Contrastive Learning by Minghong Fan, Jinghua Lan, Yiyi Zhou, Mengshuang Pan, Junrong Li, Daqiang Zhang

“…In the SDN-assisted FL environment, the FL network requires the interaction of model parameters among multiple participants. During this process, DDoS attacks may target the SDN control plane, disrupt its normal operation, and thus affect the transmission of model parameters in FL. …”
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A Single LED Positioning System Based on Circle Projection by Ran Zhang, Wen-De Zhong, Qian Kemao, Sheng Zhang

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Mie‐Resonant Metasurfaces with Controlled Silicon Oxidation in Electron‐Beam Deposition by Neal Raney, Viktoriia E. Babicheva

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Conditional Diffusion-Flow models for generating 3D cosmic density fields: applications to f(R) cosmologies by Julieth K Riveros, Paola A Saavedra, Héctor J Hortúa, Jorge Enrique García-Farieta, Ivan Olier

“…To improve conditional generation, we introduce a novel multi-output model to develop feature representations of the cosmological parameters. …”
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Construction and application of foundational models for intelligent processing of microseismic events in mines by Anye CAO, Maotao LI, Xu YANG, Yao YANG, Sen LI, Yaoqi LIU, Changbin WANG

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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. …”
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Succulent Plant Image Classification Based on Lightweight GoogLeNet with CBAM Attention Mechanism by Xingyu Tong, Zhihong Liang, Fangrong Liu

“…The model parameters and computational complexity are significantly reduced by streamlining the Inception modules from nine to seven and introducing depth-separable convolution. …”
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Enhancing Fatigue Life Prediction Accuracy: A Parametric Study of Stress Ratios and Hole Position Using SMART Crack Growth Technology by Yahya Ali Fageehi, Abdulnaser M. Alshoaibi

“…This study presents a unique and comprehensive application of ANSYS Mechanical R19.2’s SMART crack growth feature, leveraging its capabilities to conduct an unprecedented parametric investigation into fatigue crack propagation behavior under a wide range of positive and negative stress ratios, and to provide detailed insights into the influence of hole positioning on crack trajectory. …”
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Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments by Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín

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Machine Learning-Based Predictive Maintenance for Photovoltaic Systems by Ali Al-Humairi, Enmar Khalis, Zuhair A. Al-Hemyari, Peter Jung

“…Dimensionality reduction through the principal component analysis and correlation-based feature selection enhanced the model performance as well as the interpretability. …”
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String processing model for knowledge-driven systems by V. P. Ivashenko

“…The paper gives definitions of concepts necessary for the calculation of metric features calculated over strings. As a result of the experiments, theoretical estimates of the computational complexity of the implemented operations and the validity of the choice of parameters of the used data structures were confirmed, which ensures near-optimal throughput and operation time indicators of operations. …”
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Combining Cirrus and Aerosol Corrections for Improved Reflectance Retrievals over Turbid Waters from Visible Infrared Imaging Radiometer Suite Data by Bo-Cai Gao, Rong-Rong Li, Marcos J. Montes, Sean C. McCarthy

“…The multi-band atmospheric correction algorithms, now referred to as remote sensing reflectance (R_rs) algorithms, have been implemented on a NASA computing facility for global remote sensing of ocean color and atmospheric aerosol parameters from data acquired with several satellite instruments, including the Visible Infrared Imaging Radiometer Suite (VIIRS) on board the Suomi spacecraft platform. …”
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Microstructure of the human metastatic vertebral body by Giulia Cavazzoni, Giulia Cavazzoni, Giulia Cavazzoni, Enrico Dall’Ara, Enrico Dall’Ara, Marco Palanca, Marco Palanca, Marco Palanca

“…A comprehensive assessment of the microstructural properties of the entire vertebral body can be obtained with micro computed tomography. In this study, we evaluated to what extent the vertebral body is affected by the presence of a metastatic lesion, the properties of the metastatic lesions, and whether the tissue surrounding the lesion has microstructural features similar to those of healthy tissue.MethodsA total of 30 metastatic vertebrae, including lytic (N = 12), blastic (N = 10), and mixed (N = 8) metastases, and 20 control vertebrae with no visible lesions on computed tomography were scanned using micro computed tomography (voxel size = 39 mm). …”
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