Effect of Admixture on the Hydraulic Conductivity of Compacted Loess: A Case Study by Pan Liu, Xuejiao Zhang, Min Zhang, Xueqiang Yang

“…The test results revealed that the admixture of lime could obviously decrease ksat of pure loess and 3% might be the most economical content. An empirical algorithm was proposed based on the results to estimate ksat of lime-treated loess of which the lime content is out of the scope studied in this paper, and it would be useful for engineering design and numerical simulation of safety evaluation. …”
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Social-aware routing for cognitive radio–based vehicular ad hoc networks by Jing Wang, Huyin Zhang, Xing Tang, Sheng Hao

“…Moreover, we develop a social community partition algorithm to divide secondary users into intra-community and inter-community groups. …”
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Enhancing Photovoltaic Module Fault Diagnosis with Unmanned Aerial Vehicles and Deep Learning-Based Image Analysis by J. Jerome Vasanth, S. Naveen Venkatesh, V. Sugumaran, Vetri Selvi Mahamuni

“…During the machine learning phase, feature selection from the extracted features was carried out using the J48 decision tree algorithm. Post selection of features, three families of classifiers such as tree, Bayes, and lazy were applied to determine the best feature extractor-classifier pair. …”
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Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network by Guangsheng Feng, Junyu Lin, Qian Zhao, Huiqiang Wang, Hongwu Lv, Bingyang Li, DongDong Su

“…Furthermore, a primal-dual decomposition approach is developed and a distributed algorithm is proposed accordingly. Simulation results show that the proposed approach achieves a near-optimal solution.…”
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Potential Locations of Strong Earthquakes in Bulgaria and the Neighbouring Regions by Alexander I. Gorshkov, Olga V. Novikova, Sonya Y. Dimitrova, Lyuba D. Dimova, Reneta B. Raykova

“…The CORA-3 pattern recognition algorithm identified 59 seismogenic nodes analysing a set of geophysical and geological node’s characteristics. …”
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Using UAV-Based Systems to Monitor Air Pollution in Areas with Poor Accessibility by Oscar Alvear, Nicola Roberto Zema, Enrico Natalizio, Carlos T. Calafate

“…These UAVs are guided by our proposed Pollution-driven UAV Control (PdUC) algorithm, which is based on a chemotaxis metaheuristic and a local particle swarm optimization strategy. …”
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Nuclear Fusion Pattern Recognition by Ensemble Learning by G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas

“…In the literature, several popular algorithms can be found to carry out the automatic classification of signals. …”
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A Data Mining Approach Identified Salivary Biomarkers That Discriminate between Two Obesity Measures by Ping Shi, J. Max Goodson

“…Subsequently, the subset of top-ranking variables that were identified with at least three algorithms was evaluated by classification performance using receiver operating characteristic (ROC) analysis with bootstrap percentile resampling. …”
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A Global Bibliometric Analysis of Loneliness During the COVID-19 Pandemic: Future research and policy implications by Trinh Thi Xuan Nguyen, Sumeet Lal, Yoshihiko Kadoya

“…Latent Dirichlet Allocation algorithm from STATA was used to analyze common topics and research trends. …”
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Noise Robustness of Quantum Relaxation for Combinatorial Optimization by Kentaro Tamura, Yohichi Suzuki, Rudy Raymond, C. Hiroshi Watanabe, Yuki Sato, Ruho Kondo, Michihiko Sugawara, Naoki Yamamoto

“…., the Hamiltonian utilizing the encoding of three bits into one qubit by QRAC, is less affected by noise compared with the conventional Ising Hamiltonian used in the quantum annealer and the quantum approximate optimization algorithm. Based on this observation, we discuss a plausible mechanism behind the robustness of QRAO under depolarizing noise. …”
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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces by Olatunbosun Agbo-Ajala, Serestina Viriri

“…Particularly, we address the large variations in the unfiltered real-world faces with a robust image preprocessing algorithm that prepares and processes those faces before being fed into the CNN model. …”
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Point and Interval Predictions for Tanjiahe Landslide Displacement in the Three Gorges Reservoir Area, China by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma, Zongxing Zou, Chengren Xiong

“…Second, a new LSSVM model optimized by a genetic algorithm (GA) was implemented to estimate the noise variance. …”
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Hyperbolic Sine Function Control-Based Finite-Time Bipartite Synchronization of Fractional-Order Spatiotemporal Networks and Its Application in Image Encryption by Lvming Liu, Haijun Jiang, Cheng Hu, Haizheng Yu, Siyu Chen, Yue Ren, Shenglong Chen, Tingting Shi

“…Finally, a formulated image encryption algorithm, which is evaluated through imperative security tests, reveals the effectiveness and superiority of the obtained results.…”
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Factor Graph-Based Planning as Inference for Autonomous Vehicle Racing by Salman Bari, Xiagong Wang, Ahmad Schoha Haidari, Dirk Wollherr

“…We exploit the locality feature of the factor graph structure to integrate the minimum curvature path and local planning computations into a unified algorithm. This diverges from the conventional separation of global and local planning modules, where curvature minimization occurs at the global level. …”
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ESO-Based Non-Singular Terminal Filtered Integral Sliding Mode Backstepping Control for Unmanned Surface Vessels by Jianping Yuan, Zhuohui Chai, Qingdong Chen, Zhihui Dong, Lei Wan

“…Theoretical analysis and simulation results demonstrate that the proposed control algorithm improves the convergence speed, adaptive ability, and anti-interference ability in complex environments compared to traditional linear backstepping sliding mode control, thereby enhancing its engineering practicability. …”
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Stochastic Diffusive Modeling of CO₂ Emissions with Population and Energy Dynamics by Muhammad Shoaib Arif, Kamaleldin Abodayeh, Hisham M. Al-Khawar, Yasir Nawaz

“…A novel numerical scheme, an extension of the Euler-Maruyama algorithm, is proposed to solve stochastic time-dependent partial differential equations governing the model. …”
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Coexistence scheme of licensed-assisted access using long-term evolution and wireless local area network for wireless sensor networks by Woongsoo Na, Yunseong Lee, Jaehyun Eom, Sungrae Cho, Ho-Hyun Park

“…In order to maximize the throughput of each wireless local area network and licensed-assisted access using long-term evolution sensor node in the proposed algorithm, we designed an objective function based on the number of wireless local area network/licensed-assisted access using long-term evolution sensor nodes and the queue size of each sensor, after which we developed the optimal parameters using Karush–Kuhn–Tucker conditions. …”
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Changes and factors of thermal discharge from 2013 to 2023: A case study of the Tianwan nuclear power plant by Xiangle Jiang, Wenjin Zhu, Yang Zhang, Qing Xu, Xiaotian Dong

“…Results showed: (1) The SST retrieval algorithm we modified had high accuracy and applicability; (2) Between 2013 and 2023, the increase in nuclear units had intensified thermal discharge, expanding the affected marine areas; (3) The thermal discharge in spring and summer had a more pronounced impact on the temperature rise areas; (4) Tidal dynamics and seasonal variations, especially spring tides, significantly influenced thermal discharge and mixing; (5) Tidal currents improved vertical mixing, with spring tides weakening stratification and raising bottom temperatures; (6) Planktonic microorganism diversity peaked in spring, autumn, and winter, while summer discharge reduced abundance. …”
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D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory by Linliang Zhang, Shuyun Xu, Shuo Li, Lihu Pan, Su Gong

“…The model is tested against 10 algorithms using the PeMSD7(M) and PeMSD7(L) datasets, improving MAE, RMSE, and ACC by an average of 1.38% and 13.89%, 1% and 1.24%, and 5.92% and 1%, respectively. …”
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Reverse design of broadband sound absorption structure based on deep learning method by Yihong Zhou, Lifeng Ma, Xi Kang, Zhiyuan Zhu

“…With the total mass and average sound absorption coefficient of sound-absorbing materials as targets, the NSGA-II algorithm has been used for multi-objective optimization design. …”
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