Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique by Zhaoxin Jiang, Hongyan Xu, Hui Chen, Bei Gao, Shijie Jia, Zhi Yu, Jian Zhou

“…In this regard, 88 datasets with 9 variables including the ratio of bench height to burden (H/B) and the ratio of spacing to burden (S/B) were selected as the input variables, while peak particle velocity (PPV) was measured. …”
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Physical Parameters of 12,201 ASAS-SN Contact Binaries Determined by a Neural Network by Kai Li, Li-Heng Wang

“…Among these binaries, 4332 are A-subtype systems, while 7869 are W-type systems, and 1594 systems have mass ratios larger than 0.72 (H-subtype systems). …”
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Optimizing Virtual Power Plant Operations in Energy and Frequency Regulation Reserve Markets: A Risk-Averse Two-Stage Scenario-Oriented Stochastic Approach by Asad Mujeeb, Zechun Hu, Jianxiao Wang, Rui Diao, Likai Liu, Zhiyuan Bao

“…Then, a novel fast forward selection and simultaneous reduction (FFS&SR) algorithm is proposed, which efficiently generates and refines scenarios, ensuring computational feasibility without compromising accuracy. …”
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A Blockchain-Based Secure Distributed Authentication Scheme for Internet of Vehicles by Zhanfei Ma, Jing Jiang, Hui Wei, Bisheng Wang, Wenli Luo, Haoye Luo, Dongxiang Liu

“…The security analysis and performance evaluation show that the scheme meets the security requirements of the IoV while having less communication and computation cost.…”
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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…A novel wrapper feature selection algorithm employing a custom objective function is proposed in this study, which significantly improves model accuracy by 12.63% and reduces the mean absolute percentage error by 70.82%. …”
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Support Vector Machine – Recursive Feature Elimination for Feature Selection on Multi-omics Lung Cancer Data by Nuraina Syaza Azman, Azurah A Samah, Ji Tong Lin, Hairudin Abdul Majid, Zuraini Ali Shah, Nies Hui Wen, Chan Weng Howe

“…Additionally, 1000 and 4000 are the two most optimal feature subsets selected by the SVM-RFE algorithm. The SDAE and VAE models built with these feature subsets achieve the best classification results. …”
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Research on Optimization Technology of Minimum Specific Fuel Consumption for Triple-Bypass Variable Cycle Engine by Haonan Guo, Yuhua Zhang, Bing Yu

“…The simulation results of the supersonic cruise mode show that the minimum fuel consumption control can reduce the fuel consumption of the engine by 2.6% while the thrust remains constant.…”
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Intelligent Robot in Unknown Environments: Walk Path Using Q-Learning and Deep Q-Learning by Mouna El Wafi, My Abdelkader Youssefi, Rachid Dakir, Mohamed Bakir

“…Simulations carried out in MATLAB environments validate the proposed approach, illustrating its effectiveness in resource-constrained systems while preserving robust and efficient decision-making. …”
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A Nonlinear Compensation Method for Enhancing the Detection Accuracy of Weak Targets in FMCW Radar by Bo Wang, Tao Lai, Qingsong Wang, Haifeng Huang

“…Parameter estimation is refined using the Adaptive Moment Estimation (ADAM) algorithm and Limited-Memory Broyden–Fletcher–Goldfarb–Shanno (LBFGS) optimization. …”
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Time-Shifted Maps for Industrial Data Analysis: Monitoring Production Processes and Predicting Undesirable Situations by Tomasz Blachowicz, Sara Bysko, Szymon Bysko, Alina Domanowska, Jacek Wylezek, Zbigniew Sokol

“…Unlike contemporary machine learning techniques, TSM relies on a simple and interpretable algorithm designed to process data from standard industrial automation systems. …”
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Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

“…This paper introduces the Heuristic Binary Search, an intelligent search algorithm that efficiently explores the solution space, accommodating arbitrary cost function constraints similar to Finite Control Set, while maintaining a fixed switching frequency. …”
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Impact of Magnetic-field-driven Anisotropies on the Equation of State Probed in Neutron Star Mergers by Elias R. Most, Jeffrey Peterson, Luigi Scurto, Helena Pais, Veronica Dexheimer

“…Binary neutron star mergers can produce extreme magnetic fields, some of which can lead to strong magnetar-like remnants. While strong magnetic fields have been shown to affect the dynamics of outflows and angular momentum transport in the remnant, they can also crucially alter the properties of nuclear matter probed in the merger. …”
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Polarization of public opinions on feminism in China by Jinghua Piao, Fang Zhang, Tianpei Ren, Fengli Xu, Jinglei Zhou, Jun Su, Peng Ru, Yong Li

“…We further reveal that the AI-driven recommendation algorithm contributes to two primary drivers of this polarization: (i) echo chambers, where the algorithmic gathering of like-minded users reinforces their shared similar opinions and (ii) battlefields, where opposing users conflict, strengthening pre-existing opinions. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Subsequently, the Sparrow Optimization Algorithm (SSA) is applied to optimize the hyperparameters of the ResNet50 model, which is trained on DGA data as the teacher model. …”
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Route Generation and Built Environment Behavioral Mechanisms of Generation Z Tourists: A Case Study of Macau by Ying Zhao, Pohsun Wang, Yafeng Lai

“…Personalized travel experiences have become a growing priority for tourists, while the built environment increasingly shapes tourists’ behavior. …”
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Robust Current Sensor Fault-Tolerant Controller Using Third Order Super-Twisting Sliding Mode Observer and Controller for Induction Motors by Rakia Tarkhani, Saber Krim, Majdi Mansouri, Mouhamed Faouzi Mimouni

“…Simulation results, conducted in the MATLAB/Simulink environment, demonstrate the effectiveness of the proposed algorithm.…”
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Explainable AI and optimized solar power generation forecasting model based on environmental conditions. by Rizk M Rizk-Allah, Lobna M Abouelmagd, Ashraf Darwish, Vaclav Snasel, Aboul Ella Hassanien

“…The LSTM component forecasts power generation rates based on environmental conditions, while the EO component optimizes the LSTM model's hyper-parameters through training. …”
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Synergizing NOMA and energy harvesting in full duplex mobile edge computing for optimized energy efficiency by Mirza Baber Baig, Taoshen Li, Muhammad Zain Yousaf, Mohit Bajaj, Arvind R. Singh, Milkias Berhanu Tuka

“…A Block Coordinate Descent (BCD)-based algorithm addresses the non-convex optimization challenge, offering an optimal solution. …”
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An Enhanced Approach for Remaining Useful Life Prediction of Bearings Using Incomplete Lifecycle Data by Xunmeng An, Chao Zhang, Caiye Liu, Wentao Zhao

“…Experimental results demonstrate that the proposed algorithm effectively captures the complex dynamic behavior of rolling bearings, achieving high accuracy and generalization in RUL prediction.…”
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Impact of Particle Sizes on Flow Characteristics of Slurry Pump for Deep-Sea Mining by Runkun Wang, Yingjie Guan, Xing Jin, Zhenji Tang, Zuchao Zhu, Xianghui Su

“…In order to grasp the particle motion law inside the slurry pump, this paper took into consideration the collision effects of the particles with particles and particles with walls and calculated the unsteady flow of the solid-liquid two-phase by CFD-DEM coupling algorithm. Then, the focus was put on the spatial distribution and movement characteristics of different particle diameters (namely, 5 mm, 10 mm, and 15 mm, while volume concentration Cv is constant 5%). …”
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