Pub Date : 2023-01-01DOI: 10.1504/ijista.2023.133696
Xiao Zhu, Ming Li, Jianding Zhao, Liang Zhou
We proposed a patch-local self-similar network (PLoSNet) to exploit the inherent correlations between the patch-level features and the local features among the ground terrain texture for ground terrain recognition. Firstly, the early features extracted from the shallow layer of the backbone network were enhanced by using a texture statistical information enhancement module (TSIEM). Then we adopted the patch extraction method to generate patch-level features on the enhanced features. Next, the patch-level features and the local feature extracted from the last layer of the backbone network were fused by patch-level and local feature fusion module (PLFFM). Finally, the two modules served as a feature encoding layer could be easily integrated into the convolutional neural networks to achieve end-to-end training. In this paper, ResNet-18 was used as the backbone network, and the results showed the proposed PLoSNet has a superior performance over existing approaches on three challenging ground terrain/material recognition datasets.
{"title":"Patch-local self-similar network for ground terrain recognition","authors":"Xiao Zhu, Ming Li, Jianding Zhao, Liang Zhou","doi":"10.1504/ijista.2023.133696","DOIUrl":"https://doi.org/10.1504/ijista.2023.133696","url":null,"abstract":"We proposed a patch-local self-similar network (PLoSNet) to exploit the inherent correlations between the patch-level features and the local features among the ground terrain texture for ground terrain recognition. Firstly, the early features extracted from the shallow layer of the backbone network were enhanced by using a texture statistical information enhancement module (TSIEM). Then we adopted the patch extraction method to generate patch-level features on the enhanced features. Next, the patch-level features and the local feature extracted from the last layer of the backbone network were fused by patch-level and local feature fusion module (PLFFM). Finally, the two modules served as a feature encoding layer could be easily integrated into the convolutional neural networks to achieve end-to-end training. In this paper, ResNet-18 was used as the backbone network, and the results showed the proposed PLoSNet has a superior performance over existing approaches on three challenging ground terrain/material recognition datasets.","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijista.2023.10057115
JianDing Zhao, Ming Li, Xiao-hong Zhu, Liang Zhou
{"title":"Patch-Local Self-Similar Network for Ground Terrain Recognition","authors":"JianDing Zhao, Ming Li, Xiao-hong Zhu, Liang Zhou","doi":"10.1504/ijista.2023.10057115","DOIUrl":"https://doi.org/10.1504/ijista.2023.10057115","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"1 1","pages":"262-279"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67209420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijista.2023.10058071
Zainal Hisham C.H.E. Soh, I. Isa, Muhammad Khusaifi Osman, Ajmal Hadi Ahmad Hishamuddin, S. N. Sulaiman
{"title":"Classification of Cervical-Cancer from Pap Smear Images: A Convolutional Neural Network Approach","authors":"Zainal Hisham C.H.E. Soh, I. Isa, Muhammad Khusaifi Osman, Ajmal Hadi Ahmad Hishamuddin, S. N. Sulaiman","doi":"10.1504/ijista.2023.10058071","DOIUrl":"https://doi.org/10.1504/ijista.2023.10058071","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67209442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Automatic road anomaly detection and recognition systems are essential due to their effect on the comfort and safety of drivers and passengers. Drivers should be aware of bad road conditions and the existence of anomalies in routes to avoid accidents, reduce the possibility of car malfunction, and take the most appropriate route to their destinations. This led to increased research interest in automatically detecting and recognising road anomalies. The related studies can be categorised into accelerometer-based techniques and vision-based techniques. In both techniques, deep learning and mathematical methods have been utilised. This paper reviews the latest research in the anomaly detection and classification field. Several types of road anomalies are discussed, such as potholes, cracks, and speed bumps. Additionally, road damage detection techniques are used for different types of road anomalies, challenges, and limitations of current research.
{"title":"Survey of road anomalies detection methods","authors":"Rasha Saffarini, Faisal Khamayseh, Yousef Awwad Daraghmi, Derar Elyan, Muath Sabha","doi":"10.1504/ijista.2023.133700","DOIUrl":"https://doi.org/10.1504/ijista.2023.133700","url":null,"abstract":"Automatic road anomaly detection and recognition systems are essential due to their effect on the comfort and safety of drivers and passengers. Drivers should be aware of bad road conditions and the existence of anomalies in routes to avoid accidents, reduce the possibility of car malfunction, and take the most appropriate route to their destinations. This led to increased research interest in automatically detecting and recognising road anomalies. The related studies can be categorised into accelerometer-based techniques and vision-based techniques. In both techniques, deep learning and mathematical methods have been utilised. This paper reviews the latest research in the anomaly detection and classification field. Several types of road anomalies are discussed, such as potholes, cracks, and speed bumps. Additionally, road damage detection techniques are used for different types of road anomalies, challenges, and limitations of current research.","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135844989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.1504/ijista.2023.10059502
Nagendra Prabhu S, Somasundaram S. K, Murali Murugan, Sivakumar P
{"title":"A Novel Optimised GWOAN algorithm for scheduling task and power consumption in MEC Network","authors":"Nagendra Prabhu S, Somasundaram S. K, Murali Murugan, Sivakumar P","doi":"10.1504/ijista.2023.10059502","DOIUrl":"https://doi.org/10.1504/ijista.2023.10059502","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135845019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1007/978-3-031-10525-8
{"title":"Intelligent Technologies and Applications: 4th International Conference, INTAP 2021, Grimstad, Norway, October 11–13, 2021, Revised Selected Papers","authors":"","doi":"10.1007/978-3-031-10525-8","DOIUrl":"https://doi.org/10.1007/978-3-031-10525-8","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77591488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-17DOI: 10.1007/978-3-030-71711-7_27
G. Stavropoulos, Dimitra Triantafyllou, Elpiniki Makri, Zoltán Székely, D. Tzovaras
{"title":"Border Management Systems: How Can They Help Against Pandemics","authors":"G. Stavropoulos, Dimitra Triantafyllou, Elpiniki Makri, Zoltán Székely, D. Tzovaras","doi":"10.1007/978-3-030-71711-7_27","DOIUrl":"https://doi.org/10.1007/978-3-030-71711-7_27","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"55 1","pages":"325 - 334"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74320993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-02-17DOI: 10.1007/978-3-030-71711-7_29
Mohamed Abomhara, Sule YAYILGAN YILDIRIM
{"title":"An Example of Privacy and Data Protection Best Practices for Biometrics Data Processing in Border Control: Lesson Learned from SMILE","authors":"Mohamed Abomhara, Sule YAYILGAN YILDIRIM","doi":"10.1007/978-3-030-71711-7_29","DOIUrl":"https://doi.org/10.1007/978-3-030-71711-7_29","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"65 1","pages":"344 - 358"},"PeriodicalIF":0.0,"publicationDate":"2021-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76885082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/IJISTA.2021.10037184
N. A. Balkishan, Asha Kumari
{"title":"An ant colony optimisation-based framework for the detection of suspicious content and profile from text corpus","authors":"N. A. Balkishan, Asha Kumari","doi":"10.1504/IJISTA.2021.10037184","DOIUrl":"https://doi.org/10.1504/IJISTA.2021.10037184","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67208967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-01-01DOI: 10.1504/IJISTA.2021.10038044
S. Maged, H. A. E. Munim, Youssef M. AbdElKhalek, M. Awad
{"title":"Trajectory based Fast Ball Detection and tracking for an Autonmous Industrial Robot System","authors":"S. Maged, H. A. E. Munim, Youssef M. AbdElKhalek, M. Awad","doi":"10.1504/IJISTA.2021.10038044","DOIUrl":"https://doi.org/10.1504/IJISTA.2021.10038044","url":null,"abstract":"","PeriodicalId":38712,"journal":{"name":"International Journal of Intelligent Systems Technologies and Applications","volume":"20 1","pages":"1"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67209634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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