Influence Maximization in Social Networks Using Improved Genetic Algorithm by Ali Chodari Khosroshahi, Saeid Taghavi Afshord, Bagher Zarei, Bahman Arasteh

“…On average, IGAIM achieves a 65.89% improvement in terms of influence spread over greedy algorithms, a 37.59% improvement over metaheuristic algorithms, and a 10.94% improvement compared to the top three performing algorithms. …”
Get full text

Domain name generation algorithm based on improved Markov chain by QIAN Zhiye, LI Xue, LI Suogang

“…First, a combination of multiple strategies were used to conduct preliminary screening of subdomain names, including dictionary enumeration, search engine mining, and website information crawling. Then, the improved Markov model algorithm was used to analyze the filtered data, and new subdomain names were generated and added to the result set. …”
Get full text

An Improved Genetic Algorithm for Set Cover using Rosenthal Potential by Dena Tayebi, Saurabh Ray, Deepak Ajwani

Get full text

The Path Planning of Mobile Robots Based on an Improved Genetic Algorithm by Zheng Zhang, Haobo Yang, Xusheng Bai, Shuo Zhang, Chaobin Xu

“…Experimental results show that the improved genetic algorithm demonstrates significant advantages in terms of path length, smoothness, iteration speed, and computational efficiency.…”
Get full text

Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…This study introduces an improved YOLOv8 algorithm named MSEC-YOLO, specifically designed for the detection and classification tasks of laryngeal cancer in endoscopic images. …”
Get full text

An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks by Ayong Ye, Yuanjing Ling, Li Xu, Xiaoliang Yang

“…In this work, we develop an improved positioning algorithm for RFID-tagged objects. …”
Get full text

Dynamic Path Optimization Based on Improved Ant Colony Algorithm by Juan Cheng

“…Aiming at the shortcomings of the current dynamic path optimization method, the improved ant colony algorithm was used to optimize the dynamic path. …”
Get full text

Path Planning of Surface vessel based on improved IRRT* algorithm by Hao Yu, Xin Wang, Hao Peng

“…This study addresses the limitations of traditional path planning algorithms, such as lengthy path planning, prolonged planning time, and non-compliance with the kinematic laws of surface vessels, an improved IRRT* algorithm suitable for Surface vessel path planning in complex water environment is proposed to make it conform to the kinematic characteristics of Surface vessels. …”
Get full text

Research on AGV Path Planning Based on Improved DQN Algorithm by Qian Xiao, Tengteng Pan, Kexin Wang, Shuoming Cui

“…To address these issues, in this paper, an adaptive path planning algorithm with an improved Deep Q Network algorithm called the B-PER DQN algorithm is proposed. …”
Get full text

Improved ResNet algorithm based intelligent interference identification by Jian MA, Guangjin ZHANG, Lei ZHANG, Jingwei DAI

“…The labor cost of the current network operation and maintenance is high and the efficiency is low.How to quickly and accurately identify the type of network interference, and improve the work efficiency of the maintenance personnel has become an urgent problem to be solved.An intelligent interference identification method of improved deep residual network (ResNet) was studied.The interference data was collected and preprocessedby connecting with the communication interference data interface of the operator's northbound network management.The type of itwaslabelled and corrected by the current network experts to form an offline interference data set.Then the interference frequency domain information was used to generate the interference spectrum waveform image, and performed image processing and data processing for different interference types.After that, the traditional Res Net algorithm was improved according to the business characteristics to extract the features of single interference type.The features were weighted in the compound interference type to identify any type of interference.Finally, the interference data was identified online by importing the trained model, which effectively improved the accuracy and efficiency of interference identification.…”
Get full text

An algorithm for matching original experimental records based on improved CDC by CAI Yina, CHEN Xin, QIN Zhiwu, WANG Xin, BAO Xianyu, PENG Jinxue, LIN Yongqi, LI Junlin

“…First, the read files of the day are accurately filtered by calculating the overall Hash value of file. Then, we use the improved content-defined chunking (CDC) algorithm for chunking. …”
Get full text

Improved Epidemic algorithm based on trust mechanism in opportunistic networks by Guang-hua ZHANG, Shao-bo PANG, Yao-hong YANG, Zhen-guo CHEN

“…Aiming at the problem of routing reliability caused by Epidemic algorithm,an improved Epidemic algorithm based on trust mechanism was proposed.Through the establishment of trust mechanism between nodes,this mechanism can provide sufficient trusted nodes as the next hop node of message forwarding,and can promote that the Epidemic algorithm performs the limited scope of flooding under the constraint of trust mechanism.Simulation results and analysis show that the improved Epidemic algorithm can avoid the network congestion caused by flooding mechanism,and the reliability of routing and transmission performance are improved to some extent.…”
Get full text

An Improved Northern Goshawk Optimization Algorithm for Mural Image Segmentation by Jianfeng Wang, Zuowen Bao, Hao Dong

“…In OPBNGO, firstly, the off-center learning strategy is proposed, which effectively improves the global search ability of the algorithm by utilizing biased center individuals. …”
Get full text

Underwater Object Detection Algorithm Based on an Improved YOLOv8 by Fubin Zhang, Weiye Cao, Jian Gao, Shubing Liu, Chenyang Li, Kun Song, Hongwei Wang

“…This paper proposes an underwater object detection algorithm based on an improved YOLOv8 model. First, the introduction of CIB building blocks into the backbone network, along with the optimization of the C2f structure and the incorporation of large-kernel depthwise convolutions, effectively enhances the model’s receptive field. …”
Get full text

Improved sine cosine algorithm for large-scale optimization problems by ZHANG Chao, YANG Yi

“…Compared with the improved wolf pack algorithm (IWPA), the improved flower pollination algorithm (IFPA), the improved whale optimization algorithm (IWOA), and the modified whale optimization algorithm (MWOA), which are suitable for solving large scale optimization problems, it is found that the overall optimization result of SCAL is better than the comparison algorithms and thus demonstrate that the proposed algorithm has the obvious advantages and competitiveness for solving large-scale optimization problems.…”
Get full text

An Improved Coordinated Multi-point Multi-user Precoding Algorithm by SUN Zeng-you, LIU Ling-yu

“…To solve these two problems，an improved linear precoding algorithm is proposed. Computational complexity，system capacity and bit error rate ( BEＲ) as the indicators were used to evaluate the algorithm performance. …”
Get full text

An Improved Reinforcement Learning Algorithm for Cooperative Behaviors of Mobile Robots by Yong Song, Yibin Li, Xiaoli Wang, Xin Ma, Jiuhong Ruan

“…The robots learn according to a given sequence and share the behavior database. We examine the algorithm by multirobot following-surrounding behavior, and find that the improved algorithm can effectively accelerate the convergence speed.…”
Get full text

Multi-clustering algorithm based on improved tensor chain decomposition by ZHANG Hongjun, ZHANG Zeyu, ZHANG Yingjiao, YE Hao, PAN Gaojun

“…The innovations were mainly reflected in two aspects: firstly, a new tensor decomposition framework was proposed, which effectively reduced the storage cost and improved the computational efficiency by optimizing the objective function; secondly, the improved tensor decomposition technique was applied to three main multi-clustering algorithms, including self-weighted multi-view clustering (SwMC), latent multi-view subspace clustering (LMSC), and multi-view subspace clustering with intactness-aware similarity (MSC IAS), which significantly improved the accuracy and efficiency of clustering. …”
Get full text

Improved satellite resource allocation algorithm based on DRL and MOP by Pei ZHANG, Shuaijun LIU, Zhiguo MA, Xiaohui WANG, Junde SONG

“…In view of the multi-objective optimization (MOP) problem of sequential decision-making for resource allocations in multi-beam satellite systems,a deep reinforcement learning(DRL) based DRL-MOP algorithm was proposed to improve the system performance and user satisfaction degree.With considering the normalized weighted sum of spectrum efficiency,energy efficiency,and satisfaction index as the optimization goal,the dynamically changing system environments and user arrival model were built by the proposed algorithm,and the optimization of the accumulative performance in satellite systems based on DRL and MOP was realized.Simulation results show that the proposed algorithm can solve the MOP problem with rapid convergence ability and low complexity,and it is obviously superior to other algorithms in terms of system performance and user satisfaction optimization.…”
Get full text

An insulator target detection algorithm based on improved YOLOv5 by Bing Zeng, Zhihao Zhou, Yu Zhou, Dilin He, Zhanpeng Liao, Zihan Jin, Yulu Zhou, Kexin Yi, Yunmin Xie, Wenhua Zhang

“…To address issues with traditional object detection algorithms, such as large parameter counts, low detection accuracy, and high miss rates, this paper proposes an insulator detection algorithm based on an improved YOLOv5 model. …”
Get full text