Network Optimization, 5G, GSM, Plant Disease & Fraud Analytics | Volume 8 Issue 1 – Peer-Reviewed Engineering Journal
Network Optimization, 5G, GSM, Plant Disease & Fraud Analytics Journal | Peer Reviewed – IJCSE Volume 8 Issue 1
International Journal of Computer Science Engineering Techniques (IJCSE) (ISSN: 2455-135X). Peer-reviewed, open access engineering in network optimization, 5G architecture, GSM antenna, plant disease deep learning, campus RFID, blind tech and real-time fraud analytics.
Featured Optimization, Network, AI, Campus, Fraud & Blind Tech Papers
Download peer-reviewed, open access papers in network and campus optimization, deep learning, and security analytics.
Analysis of Multiple Users Load on Networks with Shortest Path Optimization
Authors: Adel Al-Janabi
Download PaperDesign and Performance Analysis of Folded Dipole Antenna for GSM Connectivity
Authors: Ayad Muslim Hamzah, Nameer Falih Mhaidi
Download PaperPLANT DISEASE DETECTION USING DEEP LEARNING
Authors: Dr.Ravikumar, Dimpal Raj V, Sai Shreyas G H, Karthik S, Keerthana S
Download PaperSmart Eye Technology For Blind Monitoring & Control
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 Network, Fraud, GSM, Plant Disease & RFID Cluster Journals?
- Peer reviewed, open access, rapid citation for all network and security engineering cycles
- Monthly publication for network optimization, deep learning and smart campus
- Fraud, plant disease, assistive, and GSM cluster innovation
- Expert technical board, engineering citation, and AS/SEO randomization
Network, GSM, Plant Disease, Fraud, Author Resources
Peer Reviewed – Network, Plant Disease, GSM, Fraud Cluster
All network, campus, plant disease, and fraud innovation papers in IJCSE are doubly peer reviewed for citation and technical impact.
