GENERATION OF TEST BASES OF RULES FOR THE ANALYSIS OF PRODUCTIVITY OF LOGICAL INFERENCE ENGINE by Svitlana Shapovalova

“…The following results were obtained: the method provides opportunities: creation of conditions of rules that complicate the data flow network of the Rete-algorithm as much as possible; formation of test bases of rules for derivation both on logic of the first order, and on offer logic; simply increase the number of knowledge base rules while maintaining the output logic. …”
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Screening for endometriosis: A scoping review of screening measures that could support early diagnosis by Brittany N. Rosenbloom, Tania Di Renna, Adriano Nella, Mathew Leonardi, Maggie Tiong, Seungmin Lee, Rachael Bosma

“…Conclusion Of the included PROMs, the ENDOPAIN-4D was found the be the highest quality and could be adopted for a primary care setting. While the MLA could be used in a tertiary or specialist care setting reliance on more advanced data. …”
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Strategic Implementation of Super-Agents in Heterogeneous Multi-Agent Training for Advanced Military Simulation Adaptability by Huseyin Oktay Altun, Huseyin Furkan Ceran, Korkut Kutay Metin, Tolga Erol, Emre Fisne

“…Optimizing Heterogeneous Multi-Agent Training (HMAT) through scenario-specific adjustments to the Proximal Policy Optimization (PPO) algorithm, we tackle the complexity of tactical simulations. …”
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CFD-Guided Design of Non-Uniform Flow Channels in PEMFCs for Waste Heat Utilization in District Heating Networks by Dai Cui, Dong Liu, Peng Yu, Jiayi Li, Zhi Zhou, Meishan Zhang, Qun Chen, Fang Yuan

“…These findings validate the algorithm’s efficacy in resolving coupled transport constraints and underscore the necessity of multi-component optimization for advancing PEMFC design.…”
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An MRI-based radiomics nomogram for preoperative prediction of Ki-67 index in nasopharyngeal carcinoma: a two-center study by Yao Wang, Jing Zhang, Qiyuan Li, Li Sun, Yingmei Zheng, Chuanping Gao, Cheng Dong

“…Data from one medical center (n=105; Ki-67: ≥50% [n=57], <50% [n=48]) formed the training set, while data from another medical center (n=28; Ki-67: ≥50% [n=15], <50% [n=13]) formed the test set. …”
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Predicting Patients’ Revisit Intention Based on Satisfaction Scores: Combination of Penalized Regression and Neural Networks by Farshid Abdi, Shaghayegh Abolmakarem, Amir Karbassi Yazdi, Paul Leger, Yong Tan, Giuliani Coluccio

“…In addition to feature selection models such as Random Forest, Genetic Algorithm, and Lasso Regression, the study employs various methods, including Neural Networks, Support Vector Machines, Decision Trees, k-Nearest Neighbors, Rule-based systems, and Naive Bayes algorithms. …”
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Effect of Temperature on FDS Characteristics of Resin Impregnated Paper Bushing by Han ZHANG, Wei HU, Zuoming XU, Baoquan WAN, Pengbo YIN, Hangyin MAO

“…The dielectric polarization theory is used to analyze the frequency domain dielectric phenomenon, and the extended Debye model is established. The genetic algorithm and interior point method are used to identify the parameters of each branch, and the influence of temperature on FDS characteristics is analyzed through changing the model parameters. …”
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Prospects of differential diagnosis of focal lesion of pancreas by the microRNA assessment by M. S. Kniazeva, T. M. Shestopalova, L. M. Zabegina, A. V. Shalaev, A. K. Ratnikova, V. A. Kashchenko, S. L. Vorobyev, A. V. Malek

“…Moreover, miR‑375 was up-regulated while miR‑143 was down-regulated in the PDAC. Differential diagnostics of PDAC versus focal chronic pancreatitis might be performed with high accuracy (AUC > 0.95) by assessment panel of four molecules: miR‑216a, miR‑217, miR‑1246 and Let‑7a.Conclusion. …”
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Optimizing the Migratory Environment of Wildebeests in the Maasai Mara Reserve with a New Ecological Corridor and Customized Buffer Zone Model by Xinrui Fan, Kuok Ho Daniel Tang, Shoushuo Liu, Yang Liu, Charles Ken Smith

“…We then used a K-means algorithm (R² = 0.926) to fit coordinates representing the changes in the location of the wildebeests to enable a quantitative representation of their migration routes. …”
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Multi-Frequency Microwave Sensing System with Frequency Selection Method for Pulverized Coal Concentration by Haoyu Tian, Feng Gao, Yuwei Meng, Xiaoyan Jia, Rongdong Yu, Zhan Wang, Zicheng Liu

“…Traditional microwave attenuation methods typically rely on a single frequency for analysis while neglecting valuable information in the frequency domain, making them susceptible to the varying sensitivity of the signal at different frequencies. …”
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Integrated GBR–NSGA-II Optimization Framework for Sustainable Utilization of Steel Slag in Road Base Layers by Merve Akbas

“…Subsequently, the Gradient Boosted Regressor model was integrated into a Non-Dominated Sorting Genetic Algorithm II (NSGA-II) framework to explore optimal trade-offs between cost and emissions. …”
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Experimental Demonstration of 73 Gb/s QPSK and 150 Gb/s QAM-32 Wireless Data Links in the Sub-THz Band Through Frequency Selective Surface Filters by Walter Fuscaldo, Daniele Pirrone, Dimitrios C. Zografopoulos, Antonio Ferraro, Pascal Szriftgiser, Guillaume Ducournau, Romeo Beccherelli

“…Here, we further increase the data rate of wireless data links based on FSS filters while maintaining an error below the forward error correction limit. …”
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A hybrid steganography framework using DCT and GAN for secure data communication in the big data era by Kaleem Razzaq Malik, Muhammad Sajid, Ahmad Almogren, Tauqeer Safdar Malik, Ali Haider Khan, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen

“…By combining DCT with deep learning algorithms, the proposed approach overcomes the limitations of spatial domain methods, offering a more flexible and effective steganography solution. …”
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Deep learning-based technique for investigating the behavior of MEMS systems with multiwalled carbon nanotubes and electrically actuated microbeams by Muhammad Amir, Jamshaid Ul Rahman, Ali Hasan Ali, Ali Raza, Zaid Ameen Abduljabbar, Husam A. Neamah

“…The Galerkin technique is employed to calculate the beam's deflection, while the parallel plate capacitor model simulates the electric field. …”
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Clinically interpretable multiclass neural network for discriminating cardiac diseases by Agnese Sbrollini, Chiara Leoni, Micaela Morettini, Cees A. Swenne, Laura Burattini

“…Conclusions: The proposed multiclass neural network constructed using the AdvRS&LP represents a promising deep-learning tool for discriminating several cardiac diseases while ensuring clinical interpretability.…”
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Unveiling hidden dynamics: fine-scale mapping of groundwater-dependent ecosystems using multi-source Earth observations by Yu Liang, Chunyan Cao, Xiaoyu Zhu, Sicong Gao, Yongqiang Zhang, Xuanlong Ma

“…The method integrates seasonal Landsat NDVI and NDWI indices with an unsupervised ISODATA clustering algorithm and groundwater depth datasets to classify GDEs. …”
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Modelo de distribución potencial de Leucaena leucocephala y Acacia farnesiana para el Noreste de México by David Gilberto López-Cantú, Aracely Maldonado-Torres, Elizabeth Crespo-Reyes, Glenda Nelly Requena-Lara, Juan Francisco Morales Pacheco, Jonathan Raúl Garay Martínez

“…A larger area of suitability was observed for A. farnesiana in Tamaulipas, while for L. leucocephala, the area of suitability was smaller throughout the Northeast. …”
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Cloud Survivability Scenarios Under Attacks With and Without Countermeasures by Rachid Beghdad, Faiza Benmenzer, Alaa Eddine Khalfoune

“…Each simulation involves request exchanges between end user nodes and data centres using an appropriate algorithm. We varied parameters like the number of data centres, malicious nodes, and the types and rate of attacks. …”
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Strengths and weaknesses of Global Positioning System (GPS) data-loggers and semi-structured interviews for capturing fine-scale human mobility: findings from Iquitos, Peru. by Valerie A Paz-Soldan, Robert C Reiner, Amy C Morrison, Steven T Stoddard, Uriel Kitron, Thomas W Scott, John P Elder, Eric S Halsey, Tadeusz J Kochel, Helvio Astete, Gonzalo M Vazquez-Prokopec

“…A total of 160 individuals, ages 7 to 74, from Iquitos, Peru, were tracked using GPS data-loggers for 14 days and later interviewed using the SSI about places they visited while tracked. A total of 2,047 and 886 places were reported in the SSI and identified by GPS, respectively. …”
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Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

“…The Random Forest algorithm demonstrated the highest reliability, achieving an accuracy of 98% during training and 96% on the test set, while also identifying the most diagnostically relevant measurements. …”
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