Machine Learning Models for Predicting Seismic Response of a Novel Two-Stage Friction Pendulum Isolated Bridge Structure by Hanzlah Akhlaq, Tianbo Peng, Kawsu Jitteh, Muhammad Salman Khan

“…Furthermore, a comparison of different surrogate models was conducted for global feature interpretation, while SHAP analysis was used for local interpretation to identify the influence of input parameters on individual structural responses. …”
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Bifurcation analysis of multistability and hysteresis in a model of HIV infection by I. V. Mironov, M. Yu. Khristichenk, Yu. M. Nechepurenko, D. S. Grebennikov, G. A. Bocharov

“…The macrophage activation rate constant is considered as a bifurcation parameter. The regions in the model parameter space, in particular, for the rate of activation of innate immune cells (macrophages), in which the properties of bi-, multistability and hysteresis are expressed, have been identified, and the features cha rac terizing transition kinetics between stable equilibrium states have been explored. …”
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A Rational Threshold Signature Model and Protocol Based on Different Permissions by Bojun Wang, Cheng Cai, Quan Zhou

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GDS-YOLOv7: A High-Performance Model for Water-Surface Obstacle Detection Using Optimized Receptive Field and Attention Mechanisms by Xu Yang, Lei Huang, Fuyang Ke, Chao Liu, Ruixue Yang, Shicheng Xie

“…The proposed system implements three key innovations: (1) Architectural optimization through replacement of the Spatial Pyramid Pooling Cross Stage Partial Connections (SPPCSPC) module with GhostSPPCSPC for expanded receptive field representation. (2) Integration of a parameter-free attention mechanism (SimAM) with refined pooling configurations to boost multi-scale detection sensitivity, and (3) Strategic deployment of depthwise separable convolutions (DSC) to reduce computational complexity while maintaining detection fidelity. …”
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Cascade Nonlinear Observer-Based Speed-Sensorless Adaptive Twisting Sliding Mode Control of Linear Induction Motor by Lei Zhang, Xiaodong Xie, Dabiao Wu, Zicheng Wang, Jianli Wang, Jiaxin Jing, Huazhen Deng, Junkai Li, Jie Huang, Jingli Huang

“…This feature significantly enhances the practical applicability of the control system in real-world industrial environments. …”
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Audio copy-move forgery detection with decreasing convolutional kernel neural network and spectrogram fusion by Canghong Shi, Xin Qiu, Min Wu, Xianhua Niu, Xiaojie Li, Sani M. Abdullahi

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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

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Structural Optimization of a Gas Distributor of Vertical Adsorption Tower Based on CFD by Bingchao GUO, Yongfei YAN, Cunlei LI, Yiwan NING, Feng GU

“…Types Ⅰ and Ⅱ improved flow but with uneven distribution. Type Ⅲ, featuring a sieve plate and baffle, significantly enhanced uniformity. …”
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A Technique for Monitoring Mechanically Ventilated Patient Lung Conditions by Pieter Marx, Henri Marais

“…Results: Using statistical classification and regression models, the approach achieves 99.1% accuracy for ventilation mode classification, 97.5% accuracy for feature extraction, and 99.0% for predicting mechanical lung parameters. …”
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Modeling operation modes of hydraulic drives with frequency-throttle regulation of mobile transport and overloading ropes complexes by Lagerev A.V., Tarichko V.I., Lagerev I.A.

“…The model provides computer simulation of the time-varying processes of such basic hydraulic drive technical characteristics as pressures and volumetric flow rates of the working fluid at characteristic points along the length of the hydraulic system, pressure drop across the hydraulic motor and instantaneous hydraulic drive power, as well as kinematic and force parameters of the movement of traction and carrying ropes (distance traveled, linear speed and acceleration, required power, overcome operational loads). …”
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Exploring Darcy dissipation modulation of nanofluid with titanium dioxide (TiO2) and copper (Cu) for enhanced thermal performance in a vertical sheet by P.K. Pattnaik, MD. Shamshuddin, S.R. Mishra, Subhajit Panda

“…The skin friction and Nusselt number are computed and compared for the bvp5c and HPM for different parameters. …”
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A multi-dimensional student performance prediction model (MSPP): An advanced framework for accurate academic classification and analysis by V. Balachandar, K. Venkatesh

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Enhanced Hyperspectral Forest Soil Organic Matter Prediction Using a Black-Winged Kite Algorithm-Optimized Convolutional Neural Network and Support Vector Machine by Yun Deng, Lifan Xiao, Yuanyuan Shi

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Disentangling degree and tie strength heterogeneity in egocentric social networks by Sara Heydari, Gerardo Iñiguez, János Kertész, Jari Saramäki

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Experimental assessment and data-driven hybrid machine learning quantification with parametric optimization of compressive strength of ceramic waste concrete by Mihir Mishra, Md. Habibur Rahman Sobuz, Md. Kawsarul Islam Kabbo, M Jameel, Turki S. Alahmari, Naim Ahmad, Md. Munir Hayet Khan

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Maximum time between cardiac cycles in atrial fibrillation for assessing the risk of arterial thromboembolism by O. A. Germanova, A. V. Germanov, Yu. V. Shchukin

“…A similar trend was also observed in the analysis of arterial kinetic parameters.Conclusion. Not only the fact of AF presence is important for assessing the risk of arterial thromboembolism, but also its features. …”
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Detecting All-to-One Backdoor Attacks in Black-Box DNNs via Differential Robustness to Noise by Hao Fu, Prashanth Krishnamurthy, Siddharth Garg, Farshad Khorrami

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Bioconvection flow of Carreau nanomaterial invoking Soret and Dufour impacts by Tasawar Hayat, Fatima Bibi, Aneeta Razaq, Sohail A Khan

“…Variable thermal conductivity is considered. Dufour and Soret features are under consideration. Thermophoresis diffusion and random movement features are considered. …”
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Organic Terahertz Generators with Wide Entire‐Molecular Phonon‐Free Range and Their Application in Broadband Terahertz Spectroscopy by Yun‐Sang Lee, Chaeyoon Kim, Jungkwon OH, Woojin Yoon, Hoseop Yun, Mojca Jazbinsek, Fabian Rotermund, O‐Pil Kwon

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Improved Variational Mode Decomposition Based on Scale Space Representation for Fault Diagnosis of Rolling Bearings by Baoxiang Wang, Guoqing Liu, Jihai Dai, Chuancang Ding

“…To address these limitations, this paper proposes an improved variational mode decomposition (IVMD) method that enhances diagnostic performance by adaptively determining key parameters based on scale space representation. In concrete, the approach constructs a scale space by computing the inner product between the signal’s Fourier spectrum and a Gaussian function, and then identifies both the mode number and initial center frequencies through peak detection, ensuring more accurate and stable decomposition. …”
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