Krylov complexity in the Schrödinger field theory by Peng-Zhang He, Hai-Qing Zhang

“…Our study reveals that the Lanczos coefficients {b n } are almost independent of the chemical potential, while {a n } are dependent on the chemical potential. …”
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BEHAVIORAL SEGMENTATION OF CUSTOMERS: RFM MODEL AND K-MEANS APPLICATION by Thanh L.T.P., Liaw S.-Y., Hien N.T.

“…Older customers spend the highest sums of money on lingerie products and the longest time since their last interaction with a company while young customers have the highest purchase frequency. …”
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Characterize neuronal responses to natural movies in the mouse superior colliculus by Ya-tang Li

“…While artificial stimuli have been widely used in visual neuroscience and have significantly advanced our understanding of visual processing, they differ dramatically from the natural scenes that animals encounter in the wild. …”
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A Dynamic Self-Adjusting System for Permanent Magnet Synchronous Motors Using an Improved Super-Twisting Sliding Mode Observer by Yanguo Huang, Yingmin Xie, Weilong Han

“…This method uses a neural network algorithm to balance chattering suppression with high control accuracy. …”
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An optimal antibiotic selection framework for Sepsis patients using Artificial Intelligence by Philipp Wendland, Christof Schenkel-Häger, Ingobert Wenningmann, Maik Kschischo

“…OptAB performs an iterative optimal antibiotic selection for real-world Sepsis patients focussing on minimizing the Sepsis-related organ failure score (SOFA-Score) as treatment success while accounting for nephrotoxicity and hepatotoxicity as serious antibiotic side-effects. …”
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Soft Actor-Critic Approach to Self-Adaptive Particle Swarm Optimisation by Daniel von Eschwege, Andries Engelbrecht

“…Self-adaptive particle swarm optimisation (SAPSO) algorithms aim to adaptively adjust CPs during the optimisation process to improve performance, ideally while reducing the number of performance-sensitive parameters. …”
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Modular quantum signal processing in many variables by Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

“…Despite significant advances in quantum algorithms, quantum programs in practice are often expressed at the circuit level, forgoing helpful structural abstractions common to their classical counterparts. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

“…Extensive simulations demonstrate that the proposed algorithm significantly outperforms existing benchmark methods, exhibiting robust performance and strong generalization capabilities across a wide range of system parameter configurations.…”
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A Scalable and Coordinated Energy Management for Electric Vehicles Based on Multiagent Reinforcement Learning Method by Ruien Bian, Xiuchen Jiang, Guoying Zhao, Yadong Liu, Zhou Dai

“…A Multiagent Deep Deterministic Policy Gradient (MADDPG) algorithm is applied to learn the cooperative energy control strategies. …”
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Consensus Target Tracking in Switching Wireless Sensor Networks with Outliers by Yan Zhou, Dongli Wang, Yonghong Lan, Qingzhen Wen

“…The proposed RKF possesses high robustness against outliers while having similar computational burden as traditional Kalman filter. …”
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Simulation-based driver scoring and profiling system by Jelena Medarević, Sašo Tomažič, Jaka Sodnik

“…The K-means clustering algorithm is used for data analysis, resulting in three distinct clusters. …”
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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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Structural Online Damage Identification and Dynamic Reliability Prediction Method Based on Unscented Kalman Filter by Yan Zhang, Yongbo Zhang, Jinhui Yu, Fei Zhao, Shihao Zhu

“…Following that, the EM algorithm is employed for estimating the performance model parameters. …”
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Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven’s Advanced Progressive Matrices: A Data-Driven Perspective by Yaohui Liu, Keren He, Kaiwen Man, Peida Zhan

“…The present study utilized a recursive feature elimination approach in conjunction with a random forest algorithm to assess the efficacy of various features in predicting cognitive strategy usage in Raven’s Advanced Progressive Matrices. …”
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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…Key parameters of the HKELM were dynamically adjusted using a novel optimization algorithm, significantly enhancing fault diagnosis accuracy and system stability. …”
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Research and application of flexible starting method for metro trains with permanent magnet motors based on PI control by LIU Zhicheng, CHEN Xijun, HE Ye, HU Hui

“…As a result, it facilitates flexible starting for trains that effectively maintains and releases braking, while ensuring the effective implementation of traction instructions. …”
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Energy-Efficient Cluster Based Routing Protocol in Mobile Ad Hoc Networks Using Network Coding by Srinivas Kanakala, Venugopal Reddy Ananthula, Prashanthi Vempaty

“…We also use an energy efficient scheme while selecting the cluster head. It helps to increase the life time of the network. …”
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Enhancing Text Classification Through Grammar-Based Feature Engineering and Learning Models by Alaa Mohasseb, Andreas Kanavos, Eslam Amer

“…To address class imbalance, the SMOTE algorithm is applied, significantly boosting the recall and F1-score for minority classes. …”
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Nonsingular Continuous Finite-Time Convergent Guidance Law with Impact Angle Constraints by Luyao Zang, Defu Lin, Yi Ji

“…More specifically, based on the second-order sliding mode control (SMC) theory, a second-order observer (2-OB) is presented to estimate the unknown target maneuvers, while a super twisting algorithm- (STA-) based guidance law is presented to restrict the LOS angle and angular rate. …”
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Power Management Problem for Civil Aircraft under More Electric Environment by Yuanchao Yang, Zichen Gao

“…The proposed formulation and solution algorithm can give an efficient power schedule result with the minimal fuel and battery operation cost through a smart codispatch between the gas turbine generator, storage devices, and all electrical loads of MEA. …”
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