Dynamic allocation of regional shared parking spaces based on assignment problem model by Shuo Zheng, Ruijun Guo

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Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data by Yibo Zhao, Shaogang Lei, Xiaotong Han, Yufan Xu, Jianzhu Li, Yating Duan, Shengya Sun

“…Monitoring dust on plant canopies around open-pit coal mines is crucial to assessing environmental pollution and developing effective dust suppression strategies. This research focuses on the Ha’erwusu open-pit coal mine in Inner Mongolia, China, using measured dust content on plant canopies and UAV-borne VNIR hyperspectral data as the data sources. …”
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Single-Shot Femtosecond Raster-Framing Imaging with High Spatio-Temporal Resolution Using Wavelength/Polarization Time Coding by Yang Yang, Yongle Zhu, Xuanke Zeng, Dong He, Li Gu, Zhijian Wang, Jingzhen Li

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Development of Executive Equipment Design for Implementing the Process of Generating of Drops of Microand Nanoscale Range by M. A. Kuznetsov, D. P. Ilyaschenko, A. V. Kryukov, S. A. Solodsky, E. V. Lavrova, E. V. Verkhoturova

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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…In these diversified test scenarios, the improved TD3 algorithm exhibits remarkable adaptability and stability. …”
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Research on Multi-Scale Spatio-Temporal Graph Convolutional Human Behavior Recognition Method Incorporating Multi-Granularity Features by Yulin Wang, Tao Song, Yichen Yang, Zheng Hong

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Back-propagation-assisted inverse design of structured light fields for given profiles of optical force by Zhao Xiaoshu, Lin Haoze, Chen Huajin, Zheng Hongxia, Ng Jack

“…Designing a monochromatic spatially-structured light field that recovers the pre-specified profile of optical force (OF) exerted on a particle is an inverse problem. …”
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A novel ensemble learning algorithm integrating WRF-CMAQ and downscaling models for hourly estimation of regional air pollution along with vegetation exposure risk detection by Peng Zhou, Jieming Chou, Shan Ye, Leiku Yang, Mengting Sun, Pengao Li, Huanpeng Wang, Jie Luo, Zhaoxiang Cao, Qian Yao, Hao Zhang, Hongze Pei

“…To achieve this, an integrated machine learning algorithm was developed by coupling the Weather Research and Forecasting-Community Multiscale Air Quality model with a downscaling model to estimate air pollutants during compound pollution episodes in Beijing. …”
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Research on Rolling Bearing Fault Diagnosis Using Improved Majorization-Minimization-Based Total Variation and Empirical Wavelet Transform by Yangli Ou, Shuilong He, Chaofan Hu, Jiading Bao, Wenjie Li

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Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review by Paolo Giaccone, Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Giuseppe Francesco Papalia, Onorato d’Angelis, Gianluca Vadalà, Albert Comelli, Luca Vollero, Mario Merone, Rocco Papalia, Vincenzo Denaro

“…Abstract Background Low back pain is the leading cause of disability worldwide with a significant socioeconomic burden; artificial intelligence (AI) has proved to have a great potential in supporting clinical decisions at each stage of the healthcare process. …”
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Development and Testing of a Methodology for Assessing of the Correlation Velocity Measurements’ Accuracy for the Hydrodynamic Investigations of the Turbulent Coolant Flow in Nucle... by I. A. Konovalov, A. A. Chesnokov, A. A. Barinov, S. M. Dmitriev, A. E. Khrobostov, M. A. Legchanov, S. S. Borodin, M. A. Makarov

“…Turbulent pulsations at the interface between two concurrent isokinetic flows in a channel with a square cross section are used as the signal source for the correlational algorithm.Paper presents the values of  the  turbulence′s  transport  time  between  spatial  conductometers, the results of estimating the spectral power density and band of the recorded signal and also the signalto-noise ratios of the measuring system obtained on their basis which are subsequently used to estimate the confidence interval of the transport time.As a result of measurements the relationship between the confidence  interval  value  and  the signal length were obtained. …”
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Estimating River Discharge With Swath Altimetry: A Proof of Concept Using AirSWOT Observations by S. Tuozzolo, G. Lind, B. Overstreet, J. Mangano, M. Fonstad, M. Hagemann, R. P. M. Frasson, K. Larnier, P.‐A. Garambois, J. Monnier, M. Durand

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Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling by Jerifa Zaman, Atefeh Shoomal, Mohammad Jahanbakht, Dervis Ozay

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User Preference Maps: Quantifying the Built Environment by Sanghyun Son, Hyoensu Kim

“…The data, categorized into three main areas—activity, comfort, and natural elements—were evaluated, visualized, and restructured using a path exploration algorithm to produce a final user-based map. …”
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A Novel Methodology to Correct Chlorophyll-a Concentrations from Satellite Data and Assess Credible Phenological Patterns by Irene Biliani, Ekaterini Skamnia, Polychronis Economou, Ierotheos Zacharias

“…Remote sensing data play a crucial role in capturing and evaluating eutrophication, providing a comprehensive view of spatial and temporal variations in water quality parameters. …”
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PSO-FDM (Particle Swarm Optimization-Finite Difference Method)-Based Simulation Model of Temperature and Velocity of Full-Scale Continuous Annealing Furnace by Yang Liu, Qiang Guo, Tieheng Yuan, Yingrui Han, Chao Liu, Wenquan Sun

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Optimization and characterization of wood decay mushroom Ganoderma adspersum extract: A comparison between response surface methodology and artificial neural network-ant lion algor... by Ayşenur Gürgen

“…The study was designed in three steps: an experimental study, optimization of extraction conditions, and determination of bioactive properties of the optimum extracts. The main research problem was to determine the most effective extraction conditions to maximize the bioactive potential of G. adspersum using advanced optimization techniques. …”
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Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

“…A project-oriented learning approach based on the Triangular Spatial Relationship (TSR) algorithm has been developed. …”
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Optimized Reduction in Draft Tube Pressure Pulsation for a Francis Turbine by J. Lu, R. Tao

“…This research optimized the placement angle of the runner blade’s 0.75span and 1.0span using the genetic algorithm. …”
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Optimisation of Aluminium Alloy Variable Diameter Tubes Hydroforming Process Based on Machine Learning by Yong Xu, Xuewei Zhang, Wenlong Xie, Shihong Zhang, Yaqiang Tian, Liansheng Chen

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