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Pixel characteristics based feature extraction approach for roadside object detection., , , and . IJCNN, page 1-8. IEEE, (2015)Aggregating pixel-level prediction and cluster-level texton occurrence within superpixel voting for roadside vegetation classification., , , and . IJCNN, page 3249-3255. IEEE, (2016)A 60 GHz and 2.08 mW Active Quasi-Circulator in 22 nm FDSOI Technology., , , , , and . MWSCAS, page 684-688. IEEE, (2023)Analysis of Hybrid Classification Approach to Differentiate Dense and Non-dense Grass Regions., , and . SEAL, volume 8886 of Lecture Notes in Computer Science, page 835-846. Springer, (2014)Design of a Low-Power High-Gain Bulk-Driven Operational Transconductance Amplifier in 90 nm CMOS Process., , , , , and . ICCCNT, page 1-5. IEEE, (2023)Design of an automatic gain control loop for high speed communication., and . Int. J. Circuit Theory Appl., 51 (1): 47-66 (January 2023)Position Gradient and Plane Consistency Based Feature Extraction., , and . ICONIP (2), volume 9948 of Lecture Notes in Computer Science, page 673-681. (2016)Spatially Constrained Location Prior for scene parsing., , , and . IJCNN, page 1480-1486. IEEE, (2016)A Novel Hybrid Learning Technique for Roadside Vegetation Classification., , and . Aust. J. Intell. Inf. Process. Syst., (2014)IoT Insider Attack - Survey., , , , and . SGIoT, volume 324 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 28-41. Springer, (2019)