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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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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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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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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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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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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Learning-based locomotion control fusing multimodal perception for a bipedal humanoid robot by Chao Ji, Diyuan Liu, Wei Gao, Shiwu Zhang

“…In this paper, visual information is added to the locomotion control problem of humanoid robot, and a three-stage multi-objective constraint policy distillation optimization algorithm is innovantly proposed. The expert policies of different terrains to meet the requirements of gait aesthetics are trained through reinforcement learning, and these expert policies are distilled into student through policy distillation. …”
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Effective practices in enhancing autonomous English language learning through YouTube by Ritueli Daeli, Santosa Santosa

“…However, the study identifies significant challenges, including the overwhelming quantity and variable quality of available content, which may hinder learners’ ability to find reliable sources. The platform’s algorithm-driven design can also distract learners, reducing their focus and productivity. …”
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Linking interannual variability of turbidity fronts in the Eastern China Seas to local processes and ocean warming by Yunfei Du, Daidu Fan, Jicai Zhang

“…A gradient-based front detection algorithm and frontal probability are used to identify the geographical locations of turbidity fronts and their variability at the interannual scale, respectively. …”
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A Vision-Based Video Crash Detection Framework for Mixed Traffic Flow Environment Considering Low-Visibility Condition by Chen Wang, Yulu Dai, Wei Zhou, Yifei Geng

“…First, Retinex image enhancement algorithm was introduced to improve the quality of images, collected under low-visibility conditions (e.g., heavy rainy days, foggy days and dark night with poor lights). …”
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Current Trends in the Development of Reporting in the Sphere of Investments in Human Capital by Maryna Resler, Jurij Renkas, Ivan Rusyn

“…In the process of work, a system of updated reporting on the level of payment of human capital of employees was developed, taking into account current needs and the possibility of ranking employees by category. Also, a visual algorithm of the process of forming an updated reporting form from primary documents to the corresponding result was created separately. …”
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Dynamic Spatiotemporal Causality Analysis for Network Traffic Flow Based on Transfer Entropy and Sliding Window Approach by Senyan Yang, Lianju Ning, Xilong Cai, Mingyu Liu

“…This study proposes a dynamic spatiotemporal causality modeling approach to analyze traffic causal relationships for the large-scale road network. Transfer entropy algorithm is utilized to detect the spatiotemporal causality of network traffic states based on the extensive traffic time series data, which could measure the amount and direction of information transmission. …”
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Calibration of Microscopic Traffic Flow Simulation Models considering Subsets of Links and Parameters by Alexander Paz, Kul Shrestha, Cristian Arteaga, Douglas Baker

“…Traffic volume and speed are the performance measures used in this study, and the methodology is developed without considering the characteristics of a specific traffic flow model. A genetic algorithm was implemented to find a solution to the proposed mathematical program. …”
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Design and Development of Polymer-Based Optical Fiber Sensor for GAIT Analysis by Mamidipaka Hema, Jami Venkata Suman, Boddepalli Kiran Kumar, Adisu Haile

“…Using the sensor data, gait recognition is performed using genetic algorithm (GA) and particle swarm optimization (PSO) technique. …”
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Some Complex Picture Fuzzy Aggregation Operators Based on Frank t-norm and t-conorm: An Application to Multi-Attribute Decision-Making (MADM) Process by Faisal Mehmood, Heng Liu

“…These are complex picture fuzzy Frank weighted averaging (CPFFWA), complex picture fuzzy Frank ordered weighted averaging (CPFFOWA), complex picture fuzzy Frank hybrid averaging (CPFFHA), and complex picture fuzzy Frank weighted geometric averaging (CPFFWGA), complex picture fuzzy Frank ordered weighted geometric averaging (CPFFOWG), and complex picture fuzzy frank hybrid geometric averaging (CPFFHGA) operators, which benefit from the basic Frank operations and averaging, geometric aggregation techniques. Furthermore, an algorithm for solving multi-attribute decision-making MADM problems has been presented under the framework of CPFSs by using CPFFWA and CPFFWG operators. …”
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Exploring the Performance of Different On-Demand Transit Services Provided by a Fleet of Shared Automated Vehicles: An Agent-Based Model by Senlei Wang, Goncalo Homem de Almeida Correia, Hai Xiang Lin

“…Moreover, the proposed optimal vehicle assignment algorithm can significantly reduce the empty vehicle kilometres travelled (VKT) for the pickups for all tested SAV systems up to about 40% and improve the system capacity for transporting the passengers. …”
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