Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

“…Leveraging our proprietary innovations, including a GIS + BIM digital base, smart algorithm matrix, and BIM-based finite element computing system, we successfully developed the Three Gorges Dam intelligent monitoring platform, delivering five core value propositions: (1) Achieve real-time and historical aggregation of comprehensive data with dam safety management as the core, fully encompassing various types of environmental monitoring data. (2) Utilizing “GIS + BIM” as the technical foundation, construct a digital twin geometric model of the hub monitoring physical world, enabling intuitive and precise representation of engineering status. (3) Implement online rapid structural calculation, analysis, and early warning based on “BIM + Finite Element” technology, providing timely and reliable support for safety decision-making. (4) Establish a monitoring data analysis model through machine learning intelligent algorithms, deeply mining data value to enable intelligent prediction of potential safety hazards. (5) Promote digital transformation of manual inspection workflows using “IOT + Micro-INS” technology, enhancing inspection efficiency and accuracy. …”
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Pelvic Kinematics during Gait Following Long-Segment Spinal Fusion Due to Adult Spinal Deformity: An Analysis Using a Smartphone-Based Inertial Measurement Unit by Masanari Takami, Daisuke Nishiyama, Shunji Tsutsui, Keiji Nagata, Yuyu Ishimoto, Kotaro Oda, Hiroshi Iwasaki, Hiroshi Hashizume, Hiroshi Yamada

“…Of 1043 features obtained, the top 20 features with the smallest p-value in a statistical comparison were selected. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…Our results demonstrate that HyQ2 achieves a high area under the curve (AUC) value of 0.9708 and an accuracy of 95.91%. …”
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A data driven approach to urban area delineation using multi source geospatial data by Chenyu Fang, Lin Zhou, Xinyue Gu, Xing Liu, Martin Werner

“…Abstract This study introduces a data-driven, bottom-up approach to urban delineation, integrating feature engineering with the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm, which represents a significant improvement in precision and methodology compared to traditional approaches that rely on simplistic OpenStreetMap (OSM) road node data aggregations. …”
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Manifold embeddings achieve comparable performance with multispectral imagery for time-series based land disturbance detection by Mengyao Li, Jianbo Qi, Su Ye, Qiao Wang

“…Additionally, it is unclear whether reduced features retain temporal continuity and can integrate effectively with time series algorithms for disturbance detection. …”
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On the Convergence of Normal and Curvature Calculations with the Height Function Method for Two-Phase Flow by Antonio Cervone, Sandro Manservisi, Jieyun Pan, Ruben Scardovelli, Stéphane Zaleski

“…The height function (HF) method on a Cartesian grid integrates the volume fractions of a column of cells across the interface. …”
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Source-Grid-Load-Storage Synergistic Planning Considering Electricity-Carbon Coupling and Flexible Supply-Demand Balance by XIAO Bai, ZHANG Qingbai, QIN Weidong, QU Gaoqiang, KONG Yihui, ZHANG Xiaohua

“…Subsequently， a two-layer source-grid-load-storage cooperative planning model is proposed， with the upper layer aimed at minimizing the integrated cost of construction investment using the equal annual value method， while the lower layer seeks to minimize the sum of the annual operational cost of the power system and the annual carbon trading cost. …”
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Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter by Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra

“…The RBFNN is integrated to address the nonlinearities and uncertainties, while a dual block mitigates the coupling effects. …”
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Finding a New Balance Point: Intelligent Optimization of Multi-Target Cognitive Electronic Reconnaissance Strategy for Unmanned Aerial Vehicles by Yun Zhang, Shixun You, Yunbin Yan, Qiaofeng Ou, Xiang Zhu

“…By grouping radar positions, solving for multiple pseudo-targets, and integrating these pseudo-targets, we ultimately obtain an invisible pseudo-target that spans the entire radar detection range. …”
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Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…The proposed method begins with preprocessing using K-SVD (K-means Singular Value Decomposition) to reduce dimensionality and enhance data representation. …”
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Shearing Performance of Lime-Reinforced Iron Tailing Powder Based on Energy Dissipation by Ping Jiang, Lingqi Qiu, Na Li, Wei Wang, Aizhao Zhou, Jingping Xiao

“…The back propagation (BP) neural network algorithm was used to fit the F-s curve, and the fitting equation that met the accuracy requirement was obtained. …”
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Predicting hydrocarbon reservoir quality in deepwater sedimentary systems using sequential deep learning techniques by Xiao Hu, Jun Xie, Xiwei Li, Junzheng Han, Zhengquan Zhao, Hamzeh Ghorbani

“…This research highlights the practical value of integrating artificial intelligence into reservoir evaluation, offering a powerful tool for improving decision-making in deepwater hydrocarbon exploration and development.…”
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Applying improved particle swarm optimization for dynamic service composition focusing on quality of service evaluations under hybrid networks by Honghao Gao, Kang Zhang, Jianhua Yang, Fangguo Wu, Hongsheng Liu

“…Second, the service composition is determined by the particle swarm optimization simulation process, which aims to identify an optimal plan based on the calculated value from quality of service. Third, considering a change of service repository, when the quality of a composite service is lower than a predefined threshold, the local greedy algorithm and global reconfiguration method are adopted to dynamically restructure composite services. …”
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An Improved LEACH Protocol for Optimizing Cluster Head Selection and In-cluster Selection by SHIBing, GAOZelin, SUNYueping, HUANJuan, SUNTao

“…Furthermore, these improvements confirm that the energy balance associated with the LEACH-enhance algorithm is superior, particularly in terms of cluster head selection and node entry.…”
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An Extensive Analysis on Optimized 3D Watermarking Using Enhanced Clustering Techniques by G. Julie Sharine, L. Jani Anbarasi

“…The embedded watermark is extracted with an NCC value close to 1 for all clustering algorithms, indicating high accuracy. …”
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A Novel Adaptive Active Disturbance Rejection Control Strategy to Improve the Stability and Robustness for a Wind Turbine Using a Doubly Fed Induction Generator by Hammadi Laghridat, Ahmed Essadki, Maha Annoukoubi, Tamou Nasser

“…Due to the acoustic nature of wind and to ensure capturing maximum energy, a control strategy to extract the available maximum power from the wind turbine by using a maximum power point tracking (MPPT) algorithm is presented. Moreover, a pitch actuator system is used to control the blades’ pitch angle of the wind turbine in order to not exceed the wind turbine rated power value in case of strong wind speeds. …”
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A fair and efficient two-step procedure for sugarcane properties prediction based on near-infrared spectra by Luiz Alexandre Peternelli, Andréa Carla Bastos Andrade, Cristina Silva Dias, Reinaldo Francisco Teófilo

“…In the initial phase of a breeding program, researchers might focus on classifying individuals as selected or not based on whether they display a property value above or below a specific threshold. Integrating classification methods with near-infrared (NIR) spectroscopy is essential for effective selection. …”
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Solving Action Semantic Conflict in Physically Heterogeneous Multi-Agent Reinforcement Learning with Generalized Action-Prediction Optimization by Xiaoyang Yu, Youfang Lin, Shuo Wang, Sheng Han

“…Second, in order to further improve cooperation between heterogeneous groups, we propose a Cross-Group Prediction (CGP) loss, which adaptively predicts the action policies of other groups by leveraging trajectory information. We integrate the GAPO into both value-based and policy-based MARL algorithms, giving rise to two practical algorithms: G-QMIX and G-MAPPO. …”
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Lattice-Based Certificateless Proxy Re-Signature for IoT: A Computation-and-Storage Optimized Post-Quantum Scheme by Zhanzhen Wei, Gongjian Lan, Hong Zhao, Zhaobin Li, Zheng Ju

“…This ensures the security and integrity of multi-party communication in quantum-threat environments. …”
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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition by Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…The model hyperparameters are further optimized through the particle swarm optimization (PSO) algorithm to improve the adaptability and generalization capability of the predictive models. …”
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