An Extrinsic Calibration Method for LiDAR and Camera Based on Feature Matching by CHEN Meilin, JIANG Guotao, PI Zhichao, HE Qian, TAN Bin, LUO Shuo, YANG Hailang

“…Next, the constraint of feature point pairs was established in the LiDAR and camera coordinate systems to construct a nonlinear optimization algorithm. Finally, this nonlinear optimization algorithm was used to optimize the extrinsic parameters of the LiDAR and cameras. …”
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Yield Estimation in Banana Orchards Based on DeepSORT and RGB-Depth Images by Lei Zhou, Zhou Yang, Lanhui Fu, Jieli Duan

“…The traditional random sampling yield estimation method has strict requirements for the laborer experience and scale of orchards. Intelligent orchard management enables growers to use resources more effectively and make wiser decisions to optimize orchard inputs. …”
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A Comprehensive Review of Ship Automatic Rudder Technology: Development, Challenges, and Prospects by Minjie Zheng, Qianqiang Chen, Daowei Yan, Yawei Zhang

“…Ship automatic rudder systems are critical to enhancing the precision, safety, and intelligence of modern navigation, which plays a significant role in optimizing vessel control, reducing crew workload, and improving operational efficiency. …”
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A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention by Huifeng Wang, Jianchuan Yin, Jianchuan Yin, Nini Wang, Lijun Wang, Lijun Wang

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Biobjective Scheduling for Joint Parallel Machines with Sequence-Dependent Setup by Taking Pareto-Based Approach by Wichai Srisuruk, Kanchala Sudtachat, Paramate Horkaew

“…To this end, different computational intelligence algorithms, i.e., adaptive nearest neighbour search and modified tabu search, are employed in turn and then benchmarked and validated against combinatorial mathematical baseline, on both small and large problem sets. …”
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Mobile visual searching method based on ascending extreme learning machine by Haiyang HU, Jun XU, Hua HU

“…Computer intelligence technology had been widely used in the field of image searching. …”
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Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

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UDCNet: A U-Net Guided Dual-Branch Cross-Attention Network for SAR Object Detection by Siyang Huang, Liushun Hu, Zhangjunjie Cheng, Shaojing Su, Junyu Wei, Xiaozhong Tong, Zongqing Zhao

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Resource trading strategies with risk selection in collaborative training market. by Quyuan Wang, Xinyu Ni, Yuping Tu, Ying Wang, Jiadi Liu

“…With the aid of economic tools, we design Swing Gradient Search Algorithm to obtain the optimal investment portfolio strategy, thereby addressing the coupling relationship between the quantities of resource acquisition. …”
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Duck Egg Crack Detection Using an Adaptive CNN Ensemble with Multi-Light Channels and Image Processing by Vasutorn Chaowalittawin, Woranidtha Krungseanmuang, Posathip Sathaporn, Boonchana Purahong

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Urban bus networks’ emergency management for interdicting major emerging infectious diseases’ early transmission by Yue Pan, Ruojian Li, Hongsheng Qi

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Assessment of the Solar Potential of Buildings Based on Photogrammetric Data by Paulina Jaczewska, Hubert Sybilski, Marlena Tywonek

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YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model by Nianzu Zhou, Demin Gao, Zhengli Zhu

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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…Future efforts should optimize intelligent algorithms to shift 3D point cloud technology from ''single technological breakthrough'' to ''systemic capability development,'' supporting automated structural health monitoring and resilient urban development.…”
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Empc-based V2G scheduling strategy for multi-attribute EVs aggregator by Haoyang Tang, Zhilu Liu, Lin Zheng, Jianfeng Zheng, Hao Hu, Jinpei Lu, Zhijian Hu

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Multi-Camera Hierarchical Calibration and Three-Dimensional Reconstruction Method for Bulk Material Transportation System by Chengcheng Hou, Yongfei Kang, Tiezhu Qiao

“…The method establishes a measurement framework centered on a core camera, enhances material surface features through speckle structured light projection, and implements a ‘monocular-binocular-multi-camera association’ calibration strategy with global optimization to reduce error accumulation. Additionally, a depth information fusion algorithm based on multi-epipolar geometric constraints improves reconstruction completeness through multi-view information integration. …”
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Performance prediction of radio frequency based negative ion source using fusion neural network model by Yu Gu, Chundong Hu, Yang Li, Yuwen Yang, Yahong Xie, Qinglong Cui, Yuanzhe Zhao

“…This analysis investigates the effects of various influence factors on the performance of ion source to determine optimal parameter ranges. Its integration with intelligent control systems is expected to enable automatic optimization and operation of the ion source. …”
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Research on Global Dispatching Technology for Fully Automatic Operation System Based on Interconnection Technology by LIU Long, WANG Yeliu, REN Ying, LI Denggen, ZHANG Datao

“…Then, a global dispatching solution was devised based on networked rail transit lines, including the relevant system architecture and a multi-objective optimization model. Finally, based on the operational and passenger flow data from a city's rail transit network, the multi-objective optimization model for the proposed dispatching solution was simulated for verification using a genetic algorithm. …”
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Vehicle Relocation Triggering Thresholds Determination in Electric Carsharing System under Stochastic Demand by Wanjing Ma, Lei Wang, Lin Li

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Generalized Heptagonal Membership Function for Fully Fuzzy Linear Fractional Programming Problems by Israa Hadi, Iden H. Al Kanani

“…Several approaches, including linear programming, nonlinear programming, genetic algorithms, and computational intelligence algorithms, have been suggested to handle fully fuzzy fractional linear programming (FFFL) problems. …”
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