Research on action matching of skeletal point coordinates and sports teaching application based on Open-pose by Shunmin Su

“…Based on the Open-pose open source model, we construct a skeletal point coordinate action matching network model, use the feed-forward network for 2D confidence mapping, test it through the loss function, calculate the shortest distance to identify the association affinity domain, and introduce the greedy relaxation algorithm to optimize the accuracy rate of the association matching of multi-body skeletal points; we obtain the skeletal point coordinate parameters through the two-dimensional spatial mapping and use the k-means algorithm to quantify the features of the skeletal point coordinates, and the residuals of the skeletal point coordinates are quantized. …”
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Circulating Tumor Cells Count and Morphological Features in Breast, Colorectal and Prostate Cancer. by Sjoerd T Ligthart, Frank A W Coumans, Francois-Clement Bidard, Lieke H J Simkens, Cornelis J A Punt, Marco R de Groot, Gerhardt Attard, Johann S de Bono, Jean-Yves Pierga, Leon W M M Terstappen

“…An automated CTC (aCTC) algorithm developed previously to eliminate the variability in manual counting of CTC (mCTC) was used to extract morphological features. …”
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Design of Low-Power, High-Precision, and Lightweight Image Recognition System for Multiple Scenes by Gangfeng Yang, Liming Chen, Jianhua Jiang, Chengying Chen, Xindong Huang

“…The experimental results show that the recognition accuracy of the algorithm reaches 98.82%, the system response time is 0.481316 ms under the 33 + 200 MHz system clock, and the on-chip power consumption of the system is 0.843 W, and it can be used for real-time handwritten digit recognition in many occasions.…”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…The accuracy and recall rate of the proposed detection algorithm in the DFH-MODIS dataset reach 97.9%and 79.8% respectively. …”
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GSD-YOLO: A Lightweight Decoupled Wheat Scab Spore Detection Network Based on Yolov7-Tiny by Dongyan Zhang, Wenfeng Tao, Tao Cheng, Xingen Zhou, Gensheng Hu, Hongbo Qiao, Wei Guo, Ziheng Wang, Chunyan Gu

“…The experimental results show that the mAP of the proposed algorithm reaches 98.0%, which is 3.9 percentage points higher than that of the original model. …”
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Fault Diagnosis of Oil Pumping Machine Retarder Based on Sound Texture-Vibration Entropy Characteristics and Gray Wolf Optimization-Support Vector Machine by Shutao Zhao, Ke Chang, Erxu Wang, Bo Li, Kedeng Wang, Qingquan Wu

“…In order to diagnose the retarder faults of oil pumping machine accurately in complex environments and improve the generalization of the algorithm, a GWO-SVM fault diagnosis algorithm based on the combination of sound texture and vibration entropy characteristics was proposed. …”
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Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO by Emil Bjornson, Ferdi Kara, Nikolaos Kolomvakis, Alva Kosasih, Parisa Ramezani, Murat Babek Salman

“…In this paper, we explore whether we can anyway reach the ambitious 6G performance goals by evolving the multiple-input multiple-output (MIMO) technology from massive in 5G to gigantic in 6G. …”
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A compact dual-grating wavemeter using signal processing by Yiming Wang, Yi Ma, Yu Huang, Zhanfeng Li, Xiaohu Yang

“…Using this method, while maintaining the contrast of the Talbot patterns, the spectral resolution can reach 5 pm, which is higher than that of any currently reported Talbot wavemeters.…”
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Dynamic Inspection System for Wheel Profile of High-speed Railway Vehicles by YANG Hui

“…Several solutions for the dynamic inspection system for wheel profile parameters in calibration algorithm, system design aspects were proposed, which ensured that system precision reached the standard in high speed situations.…”
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Application of Groebner Bases to Study a Communication System by Alaa Jony, Shawki Al-Rashed

“…Also, it presents a way to simplify a given communication network through an algorithm that splits the network into subnets and reintegrates them into a network that is a general representation or model of the studied network. …”
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ROUTE FIRST-CLUSTER SECOND METHOD FOR PERSONAL SERVICE ROUTING PROBLEM by MELİKE KÜBRA EKİZ, MUHAMMET BOZDEMİR, BURCU ÖZCAN TÜRKKAN

“…We used the Genetic Algorithm (GA) to improve the route and compared the results by creating different scenarios in clustering methods. …”
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Semiotica per il real-time marketing. Il real-time marketing come strategia semiotica di visibilità organica e branding nelle piattaforme di social media by Paolo Odoardi

“…Social platforms are vital for brands to communicate and engage with audiences, but organic reach is declining due to competition and algorithm changes. …”
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Sentiment Analysis of Tweets on Prakerja Card using Convolutional Neural Network and Naive Bayes by Pahlevi Wahyu Hardjita, Nurochman, Rahmat Hidayat

“…While the average accuracy on NBC only reached 75.3%…”
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Enhanced YOLOv8-based pavement crack detection: A high-precision approach. by ZuXuan Zhang, HongLi Zhang, TongJia Zhang

“…To solve these problems, an improved automatic recognition algorithm based on YOLOv8 model, YOLOV8-DGS is proposed in this study. …”
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UAV Robust Strategy Control Based on MAS by Jian Han, Changhong Wang, Guoxing Yi

“…The MAS uses BDI model to support its logical perception and to classify the different missions; then the missions will be allocated by utilizing auction mechanism after analyzing dynamic parameters. Prim potential algorithm, particle swarm algorithm, and reallocation mechanism are proposed to realize the rational decomposing and optimal allocation in order to reach the maximum profit. …”
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Cooperative spectrum sensing scheme based on crowd trust and decision-making mechanism by Xiao-mao WANG, Chuan-he HUANG, Yi-long LV, Bin WANG, Xi-ying FAN, Hao ZHOU

“…A distributed consensus-based scheme by simulating the crowd trust and decision-making mechanism was proposed.This scheme firstly predicts the dynamic trust value among sensing users by the previous cooperative process,and then generates the user's relative trust value,and makes the data interaction among the users by using the combination of relative trust value and decision-making mechanism.All users' state can reach a consensus as the credible and iterative data interaction.All users get the final results by the determinant algorithm.This new spectrum sensing scheme utilizes the imbalance of each users' sensing ability in the real environment.Each secondary user can maintain cooperation with others only through the local information exchange with the neighbors.It is quite different from traditional spectrum sensing scheme,such as OR-rule,1-out-of-N rule and ordinary iterative method.Three SSDF attacks were analysed,on the basis of the corresponding anti-attack policy was proposed.Theoretical analysis and simulation results show that the new scheme is better than the existing cooperative spectrum sensing algorithm in accuracy and security.New scheme not only can improve the accuracy of spectrum sensing but also has the strong anti-attack capability.…”
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Scalable Precision Psychiatry With an Objective Measure of Psychological Stress: Prospective Real-World Study by Helena Wang, Norman Farb, Bechara Saab

“…Training the algorithm with EMA data showed potential trends that did not reach significance (∆SRS: P=.09; ∆SRM: P=.12). …”
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Multi-objective design optimisation of a delta coordinate measurement machine by Louw Jakobus Murray, de Ronde Willis, Marais Stephen, Maweni Thabisa

“…Employing the Non- dominated Sorting Genetic Algorithm II (NSGA-II) [1], the methodology aims to balance competing objectives like measurement accuracy, motion resolution, and machine size. …”
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Research on grape leaf disease detection method based on NMA-YOLOv8n by Ji Changpeng, Zuo Yongji, Dai Wei

“…At the output end, the detection performance of the algorithm for small targets is improved by designing the AFPN small target detection head. …”
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The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…The method has a good detection effect on high-quality images, and the accuracy rate can reach 98%. The accuracy rate can also reach 73% for the images with poor quality caused by improper capture, character corrosion, bad weather, etc. …”
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