International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| papers | Automatic Railway Track Crack Detection System
using Ardunio C (IOT) Muntalamadugu
Mahammed Imamuddin Gouse, Jithul Kalita,
Koduri Hema Veera Manikanta, Mudduluru Nitish Kumar, K.Sivaraman B.Tech Student, Department of Computer Science and Engineering,
Bharath university, India Assistant Professor, Department of Computer Science and Engineering,
Bharath university, India
DOI:
10.15680/IJIRCCE.2021.0904076 |
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| pdf/Y7Oe3ZX05JB8Kk7yPU4kA8hIMSfg4IMV3mLT0hK4.pdf |
