Raihan Kabir, Yutaka Watanobe, Md. Rashedul Islam. A Cloud-Based Robot Framework for Indoor Object Identification Using Unsupervised Segmentation Technique and Convolution Neural Network (CNN). In Hamido Fujita, Ali Selamat, Jerry Chun-Wei Lin, Moonis Ali, editors, Advances and Trends in Artificial Intelligence. From Theory to Practice - 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021, Proceedings, Part II. Volume 12799 of Lecture Notes in Computer Science, pages 199-211, Springer, 2021. [doi]
@inproceedings{KabirWI21, title = {A Cloud-Based Robot Framework for Indoor Object Identification Using Unsupervised Segmentation Technique and Convolution Neural Network (CNN)}, author = {Raihan Kabir and Yutaka Watanobe and Md. Rashedul Islam}, year = {2021}, doi = {10.1007/978-3-030-79463-7_17}, url = {https://doi.org/10.1007/978-3-030-79463-7_17}, researchr = {https://researchr.org/publication/KabirWI21}, cites = {0}, citedby = {0}, pages = {199-211}, booktitle = {Advances and Trends in Artificial Intelligence. From Theory to Practice - 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26-29, 2021, Proceedings, Part II}, editor = {Hamido Fujita and Ali Selamat and Jerry Chun-Wei Lin and Moonis Ali}, volume = {12799}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-030-79463-7}, }