Improved CKD classification based on explainable artificial intelligence with extra trees and BBFS by Ahmed M. Elshewey, Enas Selem, Amira Hassan Abed

“…The kidney disease improving global outcomes organization has established a widely accepted system for categorizing chronic kidney disease. explainable artificial intelligence for classification involves creating machine learning models that not only accurately predict outcomes but also offer clear and interpretable explanations for their decisions. …”
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Particle Swarm Optimization of Support Vector Machine Inversion Model for Overhead Upright Piers Damage-Inducing Factor by Shiliang Zhou, Menghan Tang, Jun Wu, Chunru Ke

“…For the strength of DIF predictions, MAE and MSE were 4.871 and 1.202, respectively, R2 was 0.986, NSE was 0.986, WI was 0.996, and PBIAS was 0.095. …”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…A back-propagation (BP) neural network models and predicts how structural parameters impact the acoustic transmission coefficient, elucidating the effects of geometric variations. …”
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Mission Re-Planning of Reusable Launch Vehicles Under Throttling Fault in the Recovery Flight Based on Controllable Set Analysis and a Deep Neural Network by Keshu Li, Wanqing Zhang, Han Yuan, Jing Zhou, Ying Ma

“…The optimal re-planning parameters are determined through a comprehensive investigation of the design space, leveraging probability-based CS analysis and computationally efficient DNN predictions. Simulations verify the accuracy of the CS computation algorithm and the effectiveness of the re-planning scheme under different fault conditions. …”
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Deep Point Cloud Facet Segmentation and Applications in Downsampling and Crop Organ Extraction by Yixuan Wang, Chuang Huang, Dawei Li

“…Second, to solve the insufficient precision in organ segmentation within crop point clouds, a facet growth-based segmentation algorithm is designed. The network first predicts the edge scores for the facets to determine the seed facets. …”
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Deep learning-based automation for segmentation and biometric measurement of the gestational sac in ultrasound images by Hafiz Muhammad Danish, Zobia Suhail, Faiza Farooq

“…IntroductionMonitoring the morphological features of the gestational sac (GS) and measuring the mean sac diameter (MSD) during early pregnancy are essential for predicting spontaneous miscarriage and estimating gestational age (GA). …”
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Antenna Optimization Design Based on Deep Gaussian Process Model by Xin-Yu Zhang, Yu-Bo Tian, Xie Zheng

“…In this network, GP is used to replace the fully connected layer of the CNN, the convolutional layer and the pooling layer of the CNN are used to reduce the dimension of the input parameters and GP is used to predict output, while particle swarm optimization (PSO) is used algorithm to optimize network structure parameters. …”
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On the Combination of Harmonics and Polynoms in Econometric Modeling of RUB/AZN Exchange Rate by L. M. Mamedova

“…The possibility of describing the global rate dynamics by approximation with a combination of a nonlinear polynomial trend and harmonic oscillations of various frequencies relative to this curve; the ability to calculate amplitudes and phases, which can be used to estimate the power spectrum of the Fourier approximation; the ability to develop a high-precision algorithm for predicting exchange rate changes in RUB/AZN.Materials and methodology. …”
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Global foot-and-mouth disease risk assessment based on multiple spatial analysis and ecological niche model by Qi An, Yiyang Lv, Yuepeng Li, Zhuo Sun, Xiang Gao, Hongbin Wang

“…This study utilized multi-distance spatial cluster analysis, kernel density analysis, directional distribution analysis to investigate the spatial distribution patterns of historical FMD epidemics. A multi-algorithm ensemble model considering climatic, geographic, and social factors was developed to predict the suitability area for FMDV, and then risk maps of FMD for each species of livestock were generated in combination with the distribution of livestock. …”
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Computer Vision-Based Robotic System Framework for the Real-Time Identification and Grasping of Oysters by Hao-Ran Qu, Jue Wang, Lang-Rui Lei, Wen-Hao Su

“…In order to capture oyster motion dynamically on a conveyor belt, a Kalman filter (KF) combined with a Low-Pass filter algorithm was employed to predict oyster trajectories, thereby improving noise reduction and motion stability. …”
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Protein docking by the underestimation of free energy funnels in the space of encounter complexes. by Yang Shen, Ioannis Ch Paschalidis, Pirooz Vakili, Sandor Vajda

“…Results for standard protein docking benchmarks establish that in this space the free energy landscape is a funnel in a reasonably broad neighborhood of the native state and that the SDU strategy can generate docking predictions with less than 5 A ligand interface C(alpha) root-mean-square deviation while achieving an approximately 20-fold efficiency gain compared to Monte Carlo methods.…”
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An Integrated Safety Monitoring and Pre-Warning System for Fishing Vessels by Kun Yang, Jinglong Lin, Jianjun Ding, Bing Zheng, Li Qin

“…Field trials in the Zhoushan Sea area confirmed the system’s effectiveness in accurately predicting safety hazards and providing timely alerts. …”
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Multi-objective game for fighting against Distributed Reflection DoS attacks in software-defined network by Vianney Kengne Tchendji, Mthulisi Velempini, Priva Chassem Kamdem

“…In this paper, we leverage the advantages of software-defined networks (SDN) to propose a game-theoretic approach that predicts the defender’s best moves based on Nash strategies to mitigate this attack while avoiding botnet expansion. …”
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CENPF as a Potential Biomarker Associated with the Immune Microenvironment of Renal Cancer by Meilin Chen MS, Xiuxin Tang MS, YanPing Liang MD, Tangdang Ding MS, Meifang He PhD, Dong Wang PhD, Ruizhi Wang PhD

“…Prognostic analysis indicated that high follicular helper T-cell expression predicted poorer survival, while high plasma cell expression correlated with better outcomes. …”
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High-throughput discovery of perturbation-induced topological magnons by Mohammed J. Karaki, Ahmed E. Fahmy, Archibald J. Williams, Sara Haravifard, Joshua E. Goldberger, Yuan-Ming Lu

“…However, to make reliable and systematic predictions about the material realization of topological magnons has been a major challenge, due to the lack of neutron scattering data for most materials and the absence of reliable ab initio calculations for magnons. …”
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Joint detection-measurement of the range of elements of the group target in the surveillance radar using the valuation and compensation method by S. V. Kozlov, T. Ha. Vu

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Harnessing self-efficacy: Mediating the connection between TPACK and AI intentions among teachers by Christina Ismaniati, Nurul Inayah Khairaty, Nuraini Yusuf, Agus Supramono

“…Constructs were described by descriptive statistics, and the hypothesized model was tested through mediation analysis of SmartPLS 4.0's bootstrapping algorithm. Findings showed that the constructs of the study have good validity and reliability, the created model was fit, while educators possess high TPACK and self-efficacy levels and a moderate intention to adopt AI. …”
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COMPARISON OF COLOR IN AUTHENTICATION OF IDENTITY DOCUMENTS TASKS by E. I. Stepankova, N. A. Volorova

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Dynamic Range Compression of Infrared Images Based on Histogram Equalization with Edge Inversion by S. I. Rudikov, V. Yu. Tsviatkou, A. P. Shkadarevich

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Methodology of risks assessment of information security evaluation in e-economy systems by L. M. Lynkov, T. N. Beliatskaya, V. S. Knyazkova

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