Coordinated Control Strategies for Enhancing Frequency Stability of Photovoltaic and Storage Networking Systems by JIANG Shouqi, ZHANG Haifeng, FU Gui, XIN Yechun, WANG Lixin

“…[Conclusions] The proposed coordinated control strategy of frequency active support for a grid-connected optical storage system with the participation of multiple subjects enables the optical storage system to have the adaptive switching function of inertia support and primary frequency regulation under different disturbing conditions，giving full play to the frequency regulation capability of the synchronous machine while ensuring the frequency stability of the system. …”
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Enhancing Sniffing Detection in IoT Home Wi-Fi Networks: An Ensemble Learning Approach With Network Monitoring System (NMS) by Hyo Jung Jin, Farshad Rahimi Ghashghaei, Nebrase Elmrabit, Yussuf Ahmed, Mehdi Yousefi

“…Where the wireless network environment can be vulnerable to sniffing vulnerabilities attacks due to the broadcasting function of Wi-Fi network. Wi-Fi access point devices can often be compromised, and critical information is leaked through sniffing attacks. …”
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Eccentricity Parameters Identification for a Motorized Spindle System Based on Improved Maximum Likelihood Method by Wengui Mao, Chaoliang Hu, Jianhua Li, Zhonghua Huang, Guiping Liu

“…This paper introduces an Advance-Retreat Method (ARM) of the search interval to the maximum likelihood method, the unknown parameter increment obtained by the maximum likelihood method is used as the step size in the iteration, and the Advance-Retreat Method of the search interval is used to adjust the next design point so that the objective function value is gradually decreasing. …”
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Reducing the Parameter Dependency of Phase-Picking Neural Networks with Dice Loss by Yongsoo Park, Gregory C. Beroza

“…Here, we test the Dice loss, which is a preferred loss function for highly imbalanced image segmentation problems. …”
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Optimal Collision Energy for Higgs Precision Measurements at the ILC250 by Maria Andrea Siddharta, Tian Junping

“…Afterwards, we will set up, in the framework of Effective Field Theories, a toy Lagrangian, and study the precision of anomalous couplings measurements at the energy points aforementioned. In order to do this, we will build up a chi-squared function at each energy point and look at their contours. …”
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Characterizing changes in the rate of protein-protein dissociation upon interface mutation using hotspot energy and organization. by Rudi Agius, Mieczyslaw Torchala, Iain H Moal, Juan Fernández-Recio, Paul A Bates

“…Our investigations show that, with the use of hotspot descriptors, energies from single-point alanine mutations may be used for the estimation of off-rate mutations to any residue type and also multi-point mutations. …”
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Dynamic reconstruction of electroencephalogram data using RBF neural networks by Xuan Wang, Congcong Du, Xianjin Ke, Jian Zhang, Zheng Zheng, Yayan Yue, Ming Yu

“…Importantly analysis of RBF network fixed-point coordinates revealed distinct age-related.DiscussionThese findings suggest that fixed-point coordinates of RBF networks can serve as quantitative markers aging providing new insights into age-dependent changes in brain dynamics. …”
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CONSTRUCTING METAMORPHOSIS OF IMAGES FOR THE OBJECTS ON THE BASIS OF SOLVING EULER-POINCARE EQUATIONS by S. V. Leichter

“…This work considers comparison of two images (original and target) that represent curves correspondingly shaped of set of points in two-dimensional space. The problem can be solved by finding the initial image of diffeomorphism that would allow to overlap matching points of deformable image with template’s points. …”
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Comparative Study on Dynamic Mechanical Properties and Energy Dissipation of Rocks under Impact Loads by Renshu Yang, Weiyu Li, Zhongwen Yue

“…The results show the following: (1) affected by the wave impedance matching relationship, the reflected waves, strain rates, and reflected energy of the three kinds of rock showed significant differences under the same incident stress wave. (2) The dynamic mechanical characteristics and energy dissipation laws of the rocks all had obvious strain rate effects, but the dynamic uniaxial compressive strength and energy dissipation density of the three rock types had different sensitivities to the strain rate. (3) The change trend of the energy utilization efficiency of the gray sandstone with incident energy was different from that of the red sandstone and granite; there was no obvious extreme point in the incident energy range. …”
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Energy-Momentum tensor correlators in ϕ4 theory I: The spin-zero sector by Nikos Irges, Leonidas Karageorgos

“…Then, using the 3-point function 〈Θϕϕ〉, we construct the operator Θ as a certain linear combination of the basis operators, using the requirements that Θ should vanish on the fixed point and that it should have zero anomalous dimension. …”
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Adaptive Artificial intelligence based fuzzy logic MPPTcontrol for stande-alone photovoltaic system under different atmospheric conditions by Zaghba Layachi, Abdelhalim Borni, Abdelhak Bouchakour, Nadjiba Terki

“…</strong><strong> </strong><strong>In order to allow a functioning around the optimal point Mopt, we have inserted a <em>DC-DC </em>converter (Buck–Boost) for a better matching between the PV and the load</strong><strong>. …”
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Study of High-cycle Fatigue Properties in Bovine Tibia Bones based on Reliability and Scatter-band Predictions by Mahshad Farzannasab, Mohammad Azadi, Hamed Bahmanabadi

“…In this article, the scatter-band and the reliability response of bovine tibia bones were predicted in the load-controlled fatigue condition. The one-point rotary-bending fatigue machine was utilized to carry out standard tests at two different loading levels, 0.4 and 0.6 kg for three various loading frequencies, 10, 20 and 30 Hz for tibia bones. …”
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Continuous-spin particles, on shell by Brando Bellazzini, Stefano De Angelis, Marcello Romano

“…We solve them by realizing a non-trivial representation for all little-group generators on the space of functions of bi-spinors. The three-point amplitudes are uniquely determined by matching their high-energy limit to that of definite-helicity (ordinary) massless particles. …”
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S-duality of boundary lines in N $$ \mathcal{N} $$ = 4 SYM theories and supersymmetric indices by Yasuyuki Hatsuda, Tadashi Okazaki

“…We demonstrate that the two-point functions of the boundary ’t Hooft lines of magnetic charges associated with the minuscule representations in the presence of the regular Nahm pole boundary conditions can be obtained by applying the Higgsing prescription to the half-indices of the Dirichlet boundary conditions. …”
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c = 1, R = 1 and N ≫ 1: ZZ instantons in 2D string theory and matrix integrals by Rishabh Kaushik

“…We calculate the instanton normalizations, disk two-point function, and annulus one-point function in worldsheet formalism using string field theory insights. …”
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The Impact of Exercise Training on the Brain and Cognition in Type 2 Diabetes, and its Physiological Mediators: A Systematic Review by Jitske Vandersmissen, Ilse Dewachter, Koen Cuypers, Dominique Hansen

“…Abstract Background Type 2 diabetes (T2DM) affects brain structure and function, and is associated with an increased risk of dementia and mild cognitive impairment. …”
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Automatic detection and counting of wheat spike based on DMseg-Count by Hecang Zang, Yilong Peng, Meng Zhou, Guoqiang Li, Guoqing Zheng, Hualei Shen

“…Finally, the total loss function was constructed to optimize the model. The test results showed that the mean absolute error (MAE) and root mean square error (RMSE) of the proposed DMseg-Count model were 5.79 and 7.54, respectively, which were 9.76 and 10.91 higher than the standard distribution matching for crowd counting (DM-Count) model. …”
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An Algorithm for Sound Velocity Error Correction Using GA-SVR Considering the Distortion Characteristics of Seabed Topography Measured by Multibeam Sonar Mounted on Autonomous Unde... by Xiaohan Yu, Junsen Wang, Yang Cui, Shaohua Jin, Gang Bian, Na Chen

“…Then, the SVE of the main survey line was corrected, including calculating the discrepancy values between the matching point pairs of the main and auxiliary survey lines, and establishing a regression model about depth error using the SVR algorithm. …”
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Design of a Piezoelectrically Actuated Ultrananocrystalline Diamond (UNCD) Microcantilever Biosensor by Villarreal Daniel, Orlando Auciello, Elida de Obaldia

“…Subsequently, a Gaussian distribution mass function with a variance of 5 µm was implemented to evaluate the resonant frequency shift upon mass addition at a certain point on the microcantilever where a variation from 600 Hz to 100 Hz was observed when the mass distribution center was located at the tip of the microcantilever and the piezoelectric borderline, respectively. …”
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Deep learning-based semantic segmentation for rice yield estimation by analyzing the dynamic change of panicle coverage by Hyeok-Jin Bak, Eun-Ji Kim, Ji-Hyeon Lee, Sungyul Chang, Dongwon Kwon, Woo-Jin Im, Woon-Ha Hwang, Jae-Ki Chang, Nam-Jin Chung, Wan-Gyu Sang

“…This process distilled key predictive parameters: K (maximum panicle coverage), g (growth rate), d0 (time of maximum growth rate), a (decline rate), and d1 (transition point). These parameters served as predictors in four machine learning regression models (PLSR, RFR, GBR, and XGBR) to estimate yield and its components.ResultsIn panicle segmentation, DeepLabv3+ and LinkNet achieved superior performance (mIoU &gt; 0.81). …”
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