Technology, AI & Trends Journal | Peer Reviewed – IJCSE Volume 5 Issue 1
Technology, AI & Trends Journal | Peer Reviewed – IJCSE Volume 5 Issue 1
International Journal of Computer Science Engineering Techniques (IJCSE) (ISSN: 2455-135X) is your hub for technology, engineering, machine learning, and AI research. Peer reviewed, high visibility, rapid publication on digital innovation and computer science trends.
Featured Technology, Machine Learning & AI Research
Download peer-reviewed, open access papers on advanced technology, engineering, AI, and digital innovation.
A Survey on SMOTE Deep Novel Link Based Classifier for Fraud Detection
Authors: G. Kruthika S.G., Manjunatha S R
Download Technology ML PaperSuperiority Measure of Pupil Center Localization Algorithms based on Statistical Tests
Authors: Ibrahim Furkan Ince, Huseyin Kusetogullari
Download Engineering ML PaperTransforming Smart Environments with Multi-Tier Cloud Sensing, Big Data, and 5G Technology
Authors: Swapna Narla
Download Technology Trends PaperWhy Choose a Technology/AI/ML Journal?
- Peer-reviewed, open access for machine learning & AI innovations
- Trending computer science and engineering advancements
- Fast digital publication and broad academic reach
- Support for advanced technology, algorithms, and automation
- Internal linking to top cluster topics and rapid review
Technology Cluster Author Resources & Tools
Peer Reviewed – Rapid Publishing in AI, Technology, ML Trends
Join IJCSE for peer reviewed publication, rapid review, and the latest technology, engineering, and AI trend research.
