Object Detection Algorithm Based on Feature Enhancement and Anchor-object Matching by LI Cheng-yan, ZHAO Shuai, CHE Zi-xuan

“…In the feature extraction part of the algorithm, parallel convolution and hole convolution are used to form the receptive field module, which increases the receptive field of the feature map and obtains multi-scale feature information, combining the shallow features containing texture, edge and other detailed information with rich fusion of deep features of semantic information. …”
Get full text

Design and Implementation of English Intelligent Communication Platform Based on Similarity Algorithm by Yujie Chai

“…This paper presents an in-depth and comprehensive study of text vectorization representation and text similarity calculation algorithms in the field of natural language processing. …”
Get full text

A Data-Driven Front Tracking Algorithm for Autonomous Undersea Vehicles by Jieyang LU, Yongpeng WEN, Qian GUO, Xinke ZHU, Junsheng JIAO

“…To meet the requirement for adaptive observation of autonomous undersea vehicles(AUVs), a data-driven ocean front tracking algorithm was designed. This algorithm constructed a hybrid temperature field prediction model based on Gaussian process regression(GPR) and particle swarm optimization(PSO). …”
Get full text

Robot Visual Tracking Model Based on Improved GOTURN-LD Algorithm by Lijuan Xu, Dalong Liu, Huanjian Ma

“…Therefore, this paper studies the use of the You Only Look Once series algorithm and the use of the regression network general target tracking algorithm to improve the detection and tracker part of the track-learning-detection algorithm. …”
Get full text

Digital Art Feature Association Mining Based on the Machine Learning Algorithm by Zhiying Wu, Yuan Chen

“…The research scope is set in the field of digital art, and all kinds of accidental factors of digital art creation based on the machine learning algorithm are mined and analyzed for feature correlation. …”
Get full text

Robotic Arm Trajectory Planning Based on Improved Slime Mould Algorithm by Changyong Li, Hao Xing, Pengbo Qin

“…To address this problem, this paper proposes a trajectory planning method based on the improved Slime Mould Algorithm. An interpolation curve under the joint coordinate system is constructed by using seven non-uniform B-spline functions, with time and impact force as the optimization objectives and angular velocity, angular acceleration, and angular acceleration as the constraints. …”
Get full text

A Refined and Efficient CNN Algorithm for Remote Sensing Object Detection by Bingqi Liu, Peijun Mo, Shengzhe Wang, Yuyong Cui, Zhongjian Wu

“…However, accurate detection of objects with small size, dense distribution and complex object arrangement remains a significant challenge in the remote sensing field. To address this, a refined and efficient object-detection algorithm (RE-YOLO) has been proposed in this paper for remote sensing images. …”
Get full text

CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…To ensure accuracy and efficiency in detecting cherry tomatoes in complex environments, the study proposes a precise, realtime, and robust target detection algorithm: the CTDA model, to support robotic harvesting operations in unstructured environments.MethodsThe model, based on YOLOv8, introduces a lightweight downsampling method to restructure the backbone network, incorporating adaptive weights and receptive field spatial characteristics to ensure that low-dimensional small target features are not completely lost. …”
Get full text

Application of DBN deep learning algorithm in anti stealing electricity system by Dandan LI, Bingyu GE, Wenwen HUANG, Lei XIE, Shengqi QIAN

“…With the development of economy,the electric power demand increases gradually,but because of the relative backwardness in the automation of electricity,the phenomenon of electric stealing is common.But the traditional anti electric stealing means generally centered around how to strengthen the technical transformation of the electric energy metering device,and the management efficiency is low.The purpose of deep learning is to use the method of constructing the multi-layer neural network model.To learn the potential features of image,text,voice and other data,it also has good effect on the classification problem.The successful application of the deep learning algorithm in many complex fields provides a new effective way to solve the problem of anti stealing electricity.The structure and learning algorithm of DBN and the anti-stealing model based on DBN algorithm was mainly introduced.Finally,experiments were carried out and the results were analyzed.…”
Get full text

Graph compression algorithm based on a two-level index structure by Gaochao LI, Ben LI, Yuhai LU, Mengya LIU, Yanbing LIU

“…The demand for the analysis and application of graph data in various fields is increasing day by day.The management of large-scale graph data with complicated structure and high degree of coupling faces two challenges:one is querying speed too slow,the other is space consumption too large.Facing the problems of long query time and large space occupation in graph data management,a two-level index compression algorithm named GComIdx for graph data was proposed.GComIdx algorithm used the ordered Key-Value structure to store the associated nodes and edges as closely as possible,and constructed two-level index and hash node index for efficient attribute query and neighbor query.Furthermore,GComIdx algorithm used a graph data compressed technology to compress the graph data before it directly stored in hard disk,which could effectively reduce the storing space consumption.The experimental results show that GComIdx algorithm can effectively reduce the initialization time of the graph data calculation and the disk space occupancy of the graph data storing,meanwhile,the query time is less than common graph databases and other Key-Value storage solutions.…”
Get full text

Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

“…A similarity matrix is then constructed by integrating multi-feature information. …”
Get full text

Early Warning of Financial Risk Based on K-Means Clustering Algorithm by Zhangyao Zhu, Na Liu

“…The main idea of the K-means clustering algorithm is to gradually optimize clustering results and constantly redistribute target dataset to each clustering center to obtain optimal solution; its biggest advantage lies in its simplicity, speed, and objectivity, being widely used in many research fields such as data processing, image recognition, market analysis, and risk evaluation. …”
Get full text

Speech emotion recognition algorithm of intelligent robot based on ACO-SVM by Xueliang Kang

“…To solve this problem, genetic algorithm is used to fine-tune SVM model parameters, and multi-level SVM classification architecture is constructed to enhance the accuracy of emotion recognition. …”
Get full text

Numerical Simulation of Diversion Tunnel Excavation Using GPU-Accelerated Anisotropic Random Fields by Guo-jin Zhu, Yu Ning, Zhi-hao Cui, Nanxiang Hu, Qing-xiang Meng, Chun Zhu

“…In this study, a combined anisotropic random field and GPU-accelerated Cholesky decomposition algorithm is proposed for diversion tunnel excavation. …”
Get full text

Construction of Holographic Immersion Chamber Based on Multisource Information Fusion and Interactive Virtual Reality Technology by Chunying Wang, Yin Liu

Get full text

Real-Time Monitoring System for Workers' Behaviour Analysis on a Large-Dam Construction Site by Peng Lin, Qingbin Li, Qixiang Fan, Xiangyou Gao

“…The field tests also show that the received signal strength indicator (RSSI)-based localization algorithm implemented on ZigBee devices is reliable and is accurate enough at 3 to 5 meters. …”
Get full text

Efficient quantum circuit research and implementation for 16-bit S-boxes based on composite field by Lei Zhang, Guoyuan Li, Jingchen Dai, Ruipeng Hong, Chaoen Xiao, Jianxin Wang, Yifan Zhang

“…To address these problems, this paper proposes a construction framework for 16-bit S-box quantum circuits based on composite fields. …”
Get full text

Application of 5G + edge computing technology in intelligent monitoring construction of electricity business office by Wei Cui, Junwei Li, Wei Ge, Bo Zhang, Tianwei Liu

Get full text

Development of a Near-Field Bistatic Synthetic Aperture Radar for Complex Target Reconstruction by David G. Johnson, Graham M. Brooker

Get full text

Providing a framework to optimize the sustainable construction material supply chain with the possibility of horizontal transfers by Hamed Ghamari, Hamidreza Abbasianjahromi, Seyed Mohammad Mirhosseini

“…Additionally, the innovative horizontal transfer mechanism and the insights into algorithmic performance provide valuable contributions to the field, especially for real-world applications in the construction industry.…”
Get full text