Machine Learning, AI Tools & Data Security Journal | Volume 7 Issue 1 – Peer-Reviewed, Open Access Research
Machine Learning, AI Tools & Data Security Journal | Peer Reviewed – IJCSE Volume 7 Issue 1
International Journal of Computer Science Engineering Techniques (IJCSE) (ISSN: 2455-135X) features peer-reviewed, open access research in machine learning, AI research, plant disease detection, data summarization, web scraping, portfolio theory, blockchain, and data security innovation.
Featured ML, AI Tools, Data Security & Blockchain Papers
Peer reviewed, open access articles on ML for plant disease, scraping, text summarization, data security, fraud analytics, and technical AI solutions.
PLANT DISEASE DETECTION USING DEEP LEARNING
Authors: Dr.Ravikumar, Dimpal Raj V, Sai Shreyas G H, Karthik S, Keerthana S
Download PaperWEB SCRAPING USING MACHINE LEARNING
Authors: Sakshi Nakate, Shruti Narkhede, Sonali Gawade
Download PaperA Review on Statistical Analysis based Approaches for Data Poison Detection using Machine Learning
Authors: Pooja Patil, Swati J. Patel
Download PaperNormal Cell Differentiation Potential of Cancer Stem Cells Without Reprogramming Pluripotent Factors
Authors: Josita Jude Alloysius
Download PaperExploring Different AI tools for Research Paper Writing
Authors: Gaurav Masand, Swathi Gurajala, Jedithjah Naapia Tamedi Papia, Liakutul Haque
Download PaperA Study to Analyse E-Commerce Website Functionality, Features, Layout Models and Popular Platforms
Authors: Rohan Tiwari
Download PaperBuilding Wealth in Stock Market The Comprehensive Guide to Intelligent Portfolio Theory and Trading
Authors: Dr.B. Umadevi, Dr.D. Sundar
Download PaperIntegrating Blockchain, AI, and Machine Learning for Secure Employee Data Management
Authors: Poovendran Alagarsundaram, Kalyan Gattupalli, Venkata Surya Bhavana Harish Gollavilli, Harikumar Nagarajan, Surendar Rama Sitaraman
Download PaperHYBRID EDGE-AI AND CLOUDLET-DRIVEN IOT FRAMEWORK FOR REAL-TIME HEALTHCARE
Authors: Akhil Raj Gaius Yallamelli, Vijaykumar Mamidala, Rama Krishna Mani Kanta Yalla, Thirusubramanian Ganesan, Mohanarangan Veerappermal Devarajan
Download PaperWhy Publish in ML, AI, Data Security Cluster Journals?
- Peer reviewed, open access for ML, AI, and applied data security advancements
- Rapid technical publication in plant, e-commerce, blockchain, and portfolio innovation
- Credit card fraud analytics and cloud health solutions
- AI tools research writing, statistical and summarization cluster linkages
- Expert editorial support for advanced technical review
ML, AI, Security Cluster Author Resources & Links
Peer Reviewed – Machine Learning, AI, Data Security Cluster
All ML, AI, e-commerce, blockchain, and security manuscripts in IJCSE are doubly peer reviewed for technical excellence and smart cluster innovation.
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