International Journal of Computational Intelligence Systems最新文献_第3页

Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning 基于迁移学习的改进U-Net高分辨率遥感图像语义分割

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-14 DOI: 10.1007/s44196-023-00364-w

Hua Zhang, Zhengang Jiang, Guoxun Zheng, Xuekun Yao

{"title":"Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning","authors":"Hua Zhang, Zhengang Jiang, Guoxun Zheng, Xuekun Yao","doi":"10.1007/s44196-023-00364-w","DOIUrl":"https://doi.org/10.1007/s44196-023-00364-w","url":null,"abstract":"Abstract Semantic segmentation of high-resolution remote sensing images has emerged as one of the foci of research in the remote sensing field, which can accurately identify objects on the ground and determine their localization. In contrast, the traditional deep learning-based semantic segmentation, on the other hand, requires a large amount of annotated data, which is unsuitable for high-resolution remote sensing tasks with limited resources. It is therefore important to build a semantic segmentation method for high-resolution remote sensing images. In this paper, it is proposed an improved U-Net model based on transfer learning to solve the semantic segmentation problem of high-resolution remote sensing images. The model is based on the symmetric encoder–decoder structure of U-Net. For the encoder, transfer learning is applied and VGG16 is used as the backbone of the feature extraction network, and in the decoder, after upsampling using bilinear interpolation, it is performed multiscale fusion with the feature maps of the corresponding layers of the encoder in turn and is finally obtained the predicted value of each pixel to achieve precise localization. To verify the efficacy of the proposed network, experiments are performed on the ISPRS Vaihingen dataset. The experiments show that the applied method has achieved high-quality semantic segmentation results on the high-resolution remote sensing dataset, and the MIoU is 1.70%, 2.20%, and 2.33% higher on the training, validation, and test sets, respectively, and the IoU is 4.26%, 6.89%, and 5.44% higher for the automotive category compared to the traditional U-Net.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"42 19","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134953443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning 基于单阶段深度学习的原始弯曲格式塔测试自动化

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-13 DOI: 10.1007/s44196-023-00353-z

Maryam Fathi Ahmadsaraei, Azam Bastanfard, Amineh Amini

{"title":"OBGESS: Automating Original Bender Gestalt Test Based on One Stage Deep Learning","authors":"Maryam Fathi Ahmadsaraei, Azam Bastanfard, Amineh Amini","doi":"10.1007/s44196-023-00353-z","DOIUrl":"https://doi.org/10.1007/s44196-023-00353-z","url":null,"abstract":"Abstract Hand sketch psychological data are mysterious and can be used to detect mental disorders early and prevent them from getting worse and with irreversible consequences. The Original Bender Gestalt Test is a psychology test based on hand-sketched patterns. Mental disorders require an automated scoring system. Unfortunately, there is no automatic scoring system for the Original Bender Gestalt test for adults and children with high accuracy. Automating the Original Bender Gestalt test requires 3 phases: Phase 1, collecting a comprehensive Original Bender Gestalt dataset called OBGET. Phase 2, classifying patterns by a proposed method called MYOLO V5; and Phase 3, scoring classified patterns according to associated rules of psychological standard criteria. This research reviews a comprehensive OBGET dataset that includes 817 samples, labeling samples for mental disorders by a psychologist, statistical analysis, the proposed semi-automatic labeling of patterns, patterns classification applied the proposed modified YOLO V5 called MYOLO V5, and automatic scoring of drawing patterns. MYOLO V5 accuracy is 95% and the accuracy of the proposed method called OBGESS as a mental disorder detection is 90%. In this research, a new automatic computer-aided psychological hand sketch drawing test has been proposed.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"44 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136347160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Revolutionizing Education: Advanced Machine Learning Techniques for Precision Recommendation of Top-Quality Instructional Materials 革命性的教育:先进的机器学习技术精确推荐高质量的教学材料

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-13 DOI: 10.1007/s44196-023-00361-z

Xiaoliang Xu

引用次数: 0

A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection 基于增强的机器学习算法在物联网网络入侵检测中的比较研究

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-09 DOI: 10.1007/s44196-023-00355-x

Mohamed Saied, Shawkat Guirguis, Magda Madbouly

{"title":"A Comparative Study of Using Boosting-Based Machine Learning Algorithms for IoT Network Intrusion Detection","authors":"Mohamed Saied, Shawkat Guirguis, Magda Madbouly","doi":"10.1007/s44196-023-00355-x","DOIUrl":"https://doi.org/10.1007/s44196-023-00355-x","url":null,"abstract":"Abstract The Internet-of-Things (IoT) environment has revolutionized the quality of living standards by enabling seamless connectivity and automation. However, the widespread adoption of IoT has also brought forth significant security challenges for manufacturers and consumers alike. Detecting network intrusions in IoT networks using machine learning techniques shows promising potential. However, selecting an appropriate machine learning algorithm for intrusion detection poses a considerable challenge. Improper algorithm selection can lead to reduced detection accuracy, increased risk of network infection, and compromised network security. This article provides a comparative evaluation to six state-of-the-art boosting-based algorithms for detecting intrusions in IoT. The methodology overview involves benchmarking the performance of the selected boosting-based algorithms in multi-class classification. The evaluation includes a comprehensive classification performance analysis includes accuracy, precision, detection rate, F1 score, as well as a temporal performance analysis includes training and testing times.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":" 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135241440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Adversarial Distillation Adaptation Model with Sentiment Contrastive Learning for Zero-Shot Stance Detection 基于情感对比学习的零射击姿态检测对抗蒸馏自适应模型

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-07 DOI: 10.1007/s44196-023-00359-7

Yu Zhang, Chunling Wang, Jia Wang

引用次数: 0

Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering 基于spark的宏基因组序列聚类标记扩散和标记选择社区检测算法

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-07 DOI: 10.1007/s44196-023-00348-w

Zhengjiang Wu, Xuyang Wu, Junwei Luo

{"title":"Spark-Based Label Diffusion and Label Selection Community Detection Algorithm for Metagenome Sequence Clustering","authors":"Zhengjiang Wu, Xuyang Wu, Junwei Luo","doi":"10.1007/s44196-023-00348-w","DOIUrl":"https://doi.org/10.1007/s44196-023-00348-w","url":null,"abstract":"Abstract It is a challenge to assemble an enormous amount of metagenome data in metagenomics. Usually, metagenome cluster sequence before assembly accelerates the whole process. In SpaRC, sequences are defined as nodes and clustered by a parallel label propagation algorithm (LPA). To address the randomness of label selection from the parallel LPA during clustering and improve the completeness of metagenome sequence clustering, Spark-based parallel label diffusion and label selection community detection algorithm is proposed in the paper to obtain more accurate clustering results. In this paper, the importance of sequence is defined based on the Jaccard similarity coefficient and its degree. The core sequence is defined as the one with the largest importance in its located community. Three strategies are formulated to reduce the randomness of label selection. Firstly, the core sequence label diffuses over its located cluster and becomes the initial label of other sequences. Those sequences that do not receive an initial label will select the sequence label with the highest importance in the neighbor sequences. Secondly, we perform improved label propagation in order of label frequency and sequence importance to reduce the randomness of label selection. Finally, a merge small communities step is added to increase the completeness of clustered clusters. The experimental results show that our proposed algorithm can effectively reduce the randomness of label selection, improve the purity, completeness, and F-Measure and reduce the runtime of metagenome sequence clustering.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"233 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unmanned Vehicle Fusion Positioning Technology Based on “5G + Beidou” and 3D Point Cloud Image 基于“5G +北斗”和三维点云图的无人车融合定位技术

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-11-06 DOI: 10.1007/s44196-023-00352-0

Siyong Fu, Qinghua Zhao, Zhen Fan, Qiuxiang Tao, Hesheng Liu

{"title":"Unmanned Vehicle Fusion Positioning Technology Based on “5G + Beidou” and 3D Point Cloud Image","authors":"Siyong Fu, Qinghua Zhao, Zhen Fan, Qiuxiang Tao, Hesheng Liu","doi":"10.1007/s44196-023-00352-0","DOIUrl":"https://doi.org/10.1007/s44196-023-00352-0","url":null,"abstract":"Abstract Unmanned vehicles need to know their location and direction information accurately to plan and navigate their paths. However, the positioning system is susceptible to interference from a variety of factors, which leads to increased positioning errors, thereby affecting the accuracy of unmanned vehicle positioning. An unmanned vehicle fusion positioning technology based on the \"5G + Beidou\" integrated positioning system was proposed. While using the \"5G + Beidou\" base station for positioning, the 3D point cloud image was fused, and the high-precision real-time positioning was carried out through the vehicle's autonomous navigation algorithm. This paper first analyzed the current situation and characteristics of GNSS technology and studied the key technologies and principles of the \"5G + Beidou\" integrated positioning system. Then, aiming at the difficulty of 5G base station deployment, the GNSS system parameter optimization scheme based on a multidimensional fusion structure was designed. Finally, in the experiment, it was verified that the fusion system could achieve higher precision positioning results compared with traditional single-dimensional GNSS and multi-dimensional GNSS. The technical advantages of \"5G + Beidou\" were used for data fusion processing of unmanned vehicles, and a positioning method based on the combination of 3D point cloud image and high-precision map was proposed. Through some experiments, it was concluded that the fusion location method could control the error below 0.1, which showed the accuracy of the fusion location.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135636933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Recognition Method with Deep Contrastive Learning and Improved Transformer for 3D Human Motion Pose 基于深度对比学习和改进变形的三维人体运动姿态识别方法

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-10-31 DOI: 10.1007/s44196-023-00351-1

Datian Liu, Haitao Yang, Zhang Lei

引用次数: 0

Design and Implementation of Physical Education Teaching Management System Based on Multi-agent Model 基于多智能体模型的体育教学管理系统设计与实现

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-10-30 DOI: 10.1007/s44196-023-00349-9

Shaokang Xie, Jiayun Xu

{"title":"Design and Implementation of Physical Education Teaching Management System Based on Multi-agent Model","authors":"Shaokang Xie, Jiayun Xu","doi":"10.1007/s44196-023-00349-9","DOIUrl":"https://doi.org/10.1007/s44196-023-00349-9","url":null,"abstract":"Abstract The traditional physical education (PE) teaching management system is usually controlled and managed by a single center, which cannot meet the diversified and personalized teaching needs. Therefore, the research of PE teaching management system based on multi-agent mode has become an important direction. The purpose of this paper was to discuss how to improve the effect and quality of PE teaching and enhance students' learning enthusiasm and initiative through the design of multi-agent mode PE teaching management system. The PE teaching management system based on multi-agent mode provides more flexible and personalized teaching management services by utilizing the cooperation and interaction between agents, realizes the information exchange between teachers and students, provides real-time teaching feedback and evaluation, and promotes the sharing and collaboration of teaching resources. Therefore, the operating efficiency of the conventional physical education management system was the highest at 75% and the lowest at 67%, according to the experimental findings of this paper. The multi-agent model-based management system for physical education had a 95 percent maximum operating efficiency and an 88% minimum operational efficiency. The minimum difference between the two was 21%, and the maximum difference was 20%. It can be seen that the operation efficiency of the physical education management system based on the multi-agent model is more advantageous and more stable.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"13 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136103473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Schweizer–Sklar Power Aggregation Operators Based on Complex Interval-Valued Intuitionistic Fuzzy Information for Multi-attribute Decision-Making 基于复杂区间值直觉模糊信息的多属性决策Schweizer-Sklar功率聚合算子

4区计算机科学

International Journal of Computational Intelligence Systems Pub Date : 2023-10-26 DOI: 10.1007/s44196-023-00343-1

Umme Kalsoom, Kifayat Ullah, Maria Akram, Dragan Pamucar, Tapan Senapati, Muhammad Naeem, Francesco Pilla, Sarbast Moslem

{"title":"Schweizer–Sklar Power Aggregation Operators Based on Complex Interval-Valued Intuitionistic Fuzzy Information for Multi-attribute Decision-Making","authors":"Umme Kalsoom, Kifayat Ullah, Maria Akram, Dragan Pamucar, Tapan Senapati, Muhammad Naeem, Francesco Pilla, Sarbast Moslem","doi":"10.1007/s44196-023-00343-1","DOIUrl":"https://doi.org/10.1007/s44196-023-00343-1","url":null,"abstract":"Abstract This manuscript proposes the concept of Schweizer–Sklar operational laws under the consideration of the complex interval-valued intuitionistic fuzzy (CIVIF) set theory, where the Schweizer–Sklar norms are the essential and valuable modification of many norms, such as algebraic, Hamacher, and Lukasiewicz norms. Moreover, keeping the dominancy of the presented laws, we derive the concept of CIVIF Schweizer–Sklar power averaging (CIVIFSSPA), CIVIF Schweizer–Sklar power ordered averaging (CIVIFSSPOA), CIVIF Schweizer–Sklar power geometric (CIVIFSSPG), and CIVIF Schweizer–Sklar power ordered geometric (CIVIFSSPOG) operators, which are the combination of the three different structures for evaluating three different problems. Further, some reliable and feasible properties and results for derived work are also invented. Additionally, we also illustrate an application, called multi-attribute decision-making (MADM) scenario for evaluating some real-world problems with the help of discovered operators for showing the reliability and stability of the evaluated operators. Finally, we compare our mentioned operators with various prevailing operators for enhancing the worth and stability of the evaluated approaches.","PeriodicalId":54967,"journal":{"name":"International Journal of Computational Intelligence Systems","volume":"46 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136381350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0