Registration of Brain MRI/PET Images Based on Adaptive Combination of Intensity and Gradient Field Mutual Information by Jiangang Liu, Jie Tian

“…Our paper proposes an algorithm of adaptive combination of intensity and gradient field mutual information (ACMI). …”
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Intelligent Analysis of Flow Field in Cleaning Chamber for Combine Harvester Based on YOLOv8 and Reasoning Mechanism by Qinglin Li, Ruihai Wan, Zhaoyue Wu, Yuting Yan, Xihan Zhang

“…This paper studied an intelligent method to analyze simulation result data which is based on the object detection algorithm and the reasoning mechanism. YOLOv8, one of the deep learning object detection algorithms, was selected to identify key-point data from the flow field in a cleaning chamber. …”
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Aerodynamic Optimization and Wind Field Characterization of a Quadrotor Fruit-Picking Drone Based on LBM-LES by Zhengqi Zhou, Yonghong Tan, Yongda Lin, Zhili Pan, Linhui Wang, Zhizhuang Liu, Yu Yang, Lizhi Chen, Xuxiang Peng

“…To address the aforementioned issues, this paper constructs a drone and wind field testing platform and employs the Lattice Boltzmann Method and Large Eddy Simulation (LBM-LES) algorithm to solve the high-dynamic, rapidly changing airflow field during the transient picking process of the drone. …”
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Machine Learning-Based Prediction of Resilience in Green Agricultural Supply Chains: Influencing Factors Analysis and Model Construction by Daqing Wu, Tianhao Li, Hangqi Cai, Shousong Cai

“…Secondly, by integrating configurational analysis with machine learning, it innovatively constructs a resilience level prediction model based on fsQCA-XGBoost. …”
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Intelligent prediction method for fire temperature fields in underground exhibition spaces of high-intensity urban areas by Yuan Shi, Yang Zhou, Guanhua Qu, Lan Wang, Rong Wang, Zenghui Liu

“…Based on this, the Fire Dynamics Simulator (FDS) platform was used to simulate the fire temperature fields under different conditions, constructing fire temperature databases. …”
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A lightweight knowledge graph-driven question answering system for field-based mineral resource survey by Mingguo Wang, Chengbin Wang, Jianguo Chen, Bo Wang, Wei Wang, Xiaogang Ma, Jiangtao Ren, Zichen Li, Yicai Ye, Jiakai Zhang, Yue Wang

“…In this study, we proposed and built a workflow that employs knowledge graph techniques, deep learning, question templates, and matching algorithms to provide a lightweight question-answering service for field-based geologists involved in mineral resource surveys. …”
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An Algorithm of Factor Graph Optimization for 3D Map of Unmanned Exploration Vehicle in Tunnel Environment by Jian Xie, Rao Li, Jing Li, Aoshu Xu

“…The front-end point cloud registration module and the back-end construction algorithm based on filtering and graph optimization are designed. …”
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A New Algorithm Model Based on Extended Kalman Filter for Predicting Inter-Well Connectivity by Liwen Guo, Zhihong Kang, Shuaiwei Ding, Xuehao Yuan, Haitong Yang, Meng Zhang, Shuoliang Wang

“…Given that more and more oil reservoirs are reaching the high water cut stage during water flooding, the construction of an advanced algorithmic model for identifying inter-well connectivity is crucial to improve oil recovery and extend the oilfield service life cycle. …”
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Estimation of Tree Canopy Closure Based on U-Net Image Segmentation and Machine Learning Algorithms by Yuefei Zhou, Jinghan Wang, Zengjing Song, Miaohang Zhou, Mengnan Lv, Xujun Han

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An Adaptive Layering Dual-Parameter Regularization Inversion Method for an Improved Giant Trevally Optimizer Algorithm by Chao Tan, Menghao Sun, Wei Liu, Wenrui Tan, Xiaoling Zhang, Chengang Zhu, Da Li

“…The ALS-ODR inversion method is evaluated on one-dimensional and two-dimensional models using different regularization methods, layering methods, and inversion algorithms. The method is also applied to explore the transient electromagnetic field data in a mining area in Chongqing. …”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…IntroductionImproving field operations through precise spot planting rates depends on the accurate functioning of seed flow sensors within the working rows. …”
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Infrared Aircraft Detection Algorithm Based on High-Resolution Feature-Enhanced Semantic Segmentation Network by Gang Liu, Jiangtao Xi, Chao Ma, Huixiang Chen

“…Finally, a dice loss function is introduced to calculate the overlap between the predicted results and the ground truth labels, facilitating deep excavation of foreground information for comprehensive learning of samples. This paper constructs an infrared aircraft detection algorithm based on a high-resolution feature-enhanced semantic segmentation network which combines the location attention feature fusion network, the hybrid atrous spatial pyramid pooling module, the dice loss function, and a network that maintains the resolution of feature maps. …”
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BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm by Qing Wang, Ning Yan, Yasen Qin, Xuedong Zhang, Xu Li

“…In this paper, we propose an improved tomato leaf disease detection method based on the YOLOv10n algorithm, named BED-YOLO. We constructed an image dataset containing four common tomato diseases (early blight, late blight, leaf mold, and septoria leaf spot), with 65% of the images sourced from field collections in natural environments, and the remainder obtained from the publicly available PlantVillage dataset. …”
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Cost-Reference Particle Filter-Based Method for Constructing Effective Brain Networks: Application in Optically Pumped Magnetometer Magnetoencephalography by Yuyu Ma, Xiaoyu Liang, Huanqi Wu, Hao Lu, Yong Li, Changzeng Liu, Yang Gao, Min Xiang, Dexin Yu, Xiaolin Ning

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INFORMATIONAL AND ALGORITHMIC SUPPORT FOR DISTRIBUTION AND MARkETING LOGISTICS CONTROL SySTEMS OF PHARMACEUTICAL ENTERPRISES by A. V. Kostrov, V. F. Kornyushko, S. Kaybullaeva, O. M. Nikolaeva

“…Informational models and control algorithms models for separate functional modules of the pharmaceutical enterprises distribution and supply logistics management are considered in the article. …”
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Optimized recovery method of wave field characteristics of tunnel drilling source of drilling jumbo and its engineering application by Ronghui Bai, Shaoshuai Shi, Weidong Guo, Zhenyan Tian

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Pattern-based approach to automation of deductive verification of process-oriented programs: patterns, lemmas and algorithms by Ivan M. Chernenko, Igor S. Anureev

“…The scheme of derived extra invariant patterns and schemes of lemmas defined for derived patterns are defined. The algorithms for constructing derived extra invariant patterns and lemmas for them, as well as methods for proving these lemmas are presented. …”
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A Hybrid Algorithm for PMLSM Force Ripple Suppression Based on Mechanism Model and Data Model by Yunlong Yi, Sheng Ma, Bo Zhang, Wei Feng

“…Therefore, this paper proposes a hybrid modeling framework that integrates the physical mechanism and measured data and realizes the dynamic compensation of the force ripple by constructing a collaborative suppression algorithm. At the mechanistic level, based on electromagnetic field theory and the virtual displacement principle, an analytical model of the core disturbance terms such as the cogging effect and the end effect is established. …”
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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems by Hongyu Li, Lei Chen, Jian Zhang, Muxi Li

“…Surrogate-assisted evolutionary algorithms (SAEAs) are widely used in the field of high-dimensional expensive optimization. …”
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Short-Term Power Load Prediction Based on Level Processing Method and Improved GWO Algorithm by Yuntong Li

“…Then, combined with the level set algorithm in the level processing algorithm, a genetic grey wolf hybrid model that integrates level processing is constructed. …”
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