Sign Language AI, Blind Tech, Fraud Analytics, Smart Campus Journal | Volume 7 Issue 3 – Peer-Reviewed Innovation
Sign Language AI, Blind Tech, Fraud Analytics, Smart Campus Journal | Peer Reviewed – IJCSE Volume 7 Issue 3
International Journal of Computer Science Engineering Techniques (IJCSE) (ISSN: 2455-135X). Peer-reviewed, open access research in AI-powered sign language detection, assistive tech for blind individuals, real-time credit card fraud detection, and RFID-based smart campus innovation.
Featured AI, Blind Tech, Fraud Analytics & Campus Papers
Peer reviewed, open access papers on AI for sign language, assistive systems, fraud, and smart campus RFID solutions.
Sign Language Detector Using Convolutional Neural Network
Authors: Vennam Ratna Kumari, Swamy Gachikanti, Dr.Mula Veera Hanumantha Reddy
Download PaperSmart Eye Technology For Controlling And Monitoring The Blind People
Authors: Dr.T.Geetha, Mr.M.Karthi, Mr.M. Jijendra Prasath
Download PaperReal-Time Credit Card Fraud Detection Using Machine Learning
Authors: Dr.E.Punarselvam, G.Nivedhitha, B.Ilavarasan, R.Naveen Kishore, C.S.PranavAdhithya, P.Prithivi Raj
Download PaperSmart Campus Using RFID
Authors: Meghana M, Nagarjun Gururaj Habbu, Santosh Kumar M T, Shreekala Tatachar K S, Varshitha R
Download PaperWhy Publish in AI, Blind Tech, Fraud & Campus Cluster Journals?
- Peer reviewed, open access AI and campus engineering advancements
- Rapid publication, assistive tech and fraud detection impact
- RFID smart campus and AI-powered sign language cluster
- Expert editorial guidance for technical campus/society innovation
AI, Campus, Fraud, Author Resources & Cluster Links
Peer Reviewed – AI, Blind Tech, Fraud & Campus Cluster
All AI, blind tech, credit card analytics, and RFID campus manuscripts in IJCSE are doubly peer reviewed for impact and open access.
