Search Results - "Dbscan clustering algorithm"

A precise crop row detection algorithm in complex farmland for unmanned agricultural machines by Ruan, Zhiwen, Chang, Penghao, Cui, Shangqing, Luo, Jiaqi, Gao, Rui, Su, Zhongbin

“…Crop row detection is an important part of precision agriculture. Therefore, an unmanned agricultural machine crop row detection method based on YOLO-R is…”
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Efficient and Fast Active Equalization Method for Retired Battery Pack Using Wide Voltage Range Bidirectional Converter and DBSCAN Clustering Algorithm by Lujun, Wang, Jinyang, Ke, Min, Zhan, Aina, Tian, Tiezhou, Wu, Xiaoxing, Zhang, Jiuchun, Jiang

“…This article presents an efficient and fast echelon battery equalization method based on wide voltage range bidirectional converter combined with DBSCAN…”
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Adaptive quorum based scheduling and interference-free routing for edge enabled UAV assisted software-define WSN using AI by Prasad, KH Vijayendra, Periyasamy, Sasikumar

“…Wireless Sensor Networks (WSN) faces numerous problems. The deployment of the sensor nodes in faraway places makes battery replacement a difficult process. As…”
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Fast grouping fusion method of dual carbon monitoring data based on DBSCAN clustering algorithm by Ma, Rui, Sha, Jiangbo, Zhang, Shuang, Zhu, Dongge, Kang, Wenni, Liu, Jia

“…•Introducing advanced data fusion methods for dual-carbon monitoring.•Improving clustering accuracy and reducing misclassification rates.•Characterizing carbon…”
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Machine Well Screening Method Based on POI Data and DBSCAN Clustering Algorithm by Gan, Xing, Fan, Haiyan, Yang, Moyuan, Tang, Fangfang, Liu, Honglu, Ma, Zhijun

“…Maintaining machinery wells, key to groundwater sustainability, is vital for managing these precious resources. In keeping with the need for effective…”
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Segmented Drifter Trajectory-Based Eddy Identification Validated by SWOT Altimetry by Liu, Tong, Chen, Xiaoyan, Chen, Ge

“…Lagrangian drifter datasets are widely used in oceanographic research but remain limited in eddy identification. This study proposes an eddy identification…”
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Intelligent blind source separation technology based on OTFS modulation for LEO satellite communication by Li, Chengjie, Zhu, Lidong, Guo, Cheng, Liu, Tao, Zhang, Zhen

“…In LEO (Low Earth Orbit) satellite communication system, the orbit height of the satellite is low, the transmission delay is short, the path loss is small, and…”
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KEY TECHNOLOGIES FOR DENSE MUSHROOM GROUP PICKING BASED ON IMPROVED DBSCAN CLUSTERING ALGORITHM by Li, Yafei, Zhu, Xuanzhang

“…Traditional mushroom harvesting techniques are inadequate to meet the increasing demands of modern agriculture. This study proposes a dense mushroom cluster…”
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Identification of Convective and Stratiform Clouds Based on the Improved DBSCAN Clustering Algorithm by Zuo, Yuanyuan, Hu, Zhiqun, Yuan, Shujie, Zheng, Jiafeng, Yin, Xiaoyan, Li, Boyong

“…A convective and stratiform cloud classification method for weather radar is proposed based on the density-based spatial clustering of applications with noise…”
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Resolvable Cluster Target Tracking Based on the DBSCAN Clustering Algorithm and Labeled RFS by Xue, Xirui, Huang, Shucai, Xie, Jiahao, Ma, Jiashun, Li, Ning

“…When a sensor can resolve the members in a cluster, it is difficult to accurately track each target due to cooperative interaction among the targets. In this…”
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Outlier Identification of Concrete Dam Displacement Monitoring Data Based on WAVLET-DBSCAN-IFRL by Fang, Chunhui, Wang, Xue, Hu, Weixing, He, Xiaojun, Huang, Zihui, Gu, Hao

“…Monitoring data outliers comprises isolated mode outliers, cluster mode outliers, and normal points. To identify and distinguish the data hopping problems…”
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A Recommendation System in the Medical Industry using SW-DBSCAN Algorithm by Reza Molaee Fard, Payam Yarahmadi

“…A recommendation system is a system that, based on a limited amount of information provided by users as well as the feedback given to goods, persons, and…”
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Crowdsourcing Logistics Pricing Optimization Model Based on DBSCAN Clustering Algorithm by Li, Zhichao, Li, Yilin, Lu, Wanchun, Huang, Jilin

“…From the perspective of platform economics, crowdsourcing is a very efficient business model, and the pricing of crowdsourcing tasks is a key factor for the…”
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Extraction of Arbors from Terrestrial Laser Scanning Data Based on Trunk Axis Fitting by Liu, Song, Deng, Yuncheng, Zhang, Jianpeng, Wang, Jinliang, Duan, Di

“…Accurate arbor extraction is an important element of forest surveys. However, the presence of shrubs can interfere with the extraction of arbors. Addressing…”
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Urban Greenway Planning and Designing Based on MGWR and the Entropy Weight Method by Li, Weijia, Ji, Xinge, Bai, Hua

“…Travelers’ attention to high-quality human habitats is increasing, and the role of urban greenways in improving the quality of travelling spaces has also been…”
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Integrated VLC/RF With Adaptive Power Control for Reliable Cluster-Based VANET Communications by El-Eraki, Ahmed M., Alshaer, Nancy A., Fouad, Mohamed M., Hamdi, Azhar A., Ismail, Tawfik

“…In Vehicular Ad Hoc Networks (VANETs), ensuring reliable, energy-efficient communication under varying traffic densities remains a major challenge,…”
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Parking Slot Detection for Autonomous Parking System with Template Matching by Wang, Yijing, Wang, Runpeng, Li, Zheng, Zuo, Zhiqiang, Yu, Baowei

“…In this paper, a parking slot detection algorithm based on a bird's eye view is proposed. A density-based spatial clustering of applications with noise…”
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Counting crowd flow based on feature points by Liang, Ronghua, Zhu, Yuge, Wang, Haixia

“…A counting approach for crowd flow based on feature points is proposed. The objective is to obtain the characteristics of the crowd flow in a scene, including…”
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The synergistic combination of particle swarm optimization and fuzzy sets to design granular classifier by Salehi, Saber, Selamat, Ali, Reza Mashinchi, M., Fujita, Hamido

“…•This paper proposes a granular classifier to discover hyperboxes in three phases.•The first phase of the proposed model uses the set calculus to build the…”
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Urban Road Lane Number Mining from Low-Frequency Floating Car Data Based on Deep Learning by Li, Xiaolong, Zhang, Yun, Xiang, Longgang, Wu, Tao

“…Lane-level road information is especially crucial now that high-precision navigation maps are in more demand. Road information may be obtained rapidly and…”
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