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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.

Machine Learning AI Tools Blockchain Data Security Journal

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

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WEB SCRAPING USING MACHINE LEARNING

Authors: Sakshi Nakate, Shruti Narkhede, Sonali Gawade

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Text Summarization using TextRank Algorithm

Authors: Pooja Patil, Swati J. Patel

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A Review on Statistical Analysis based Approaches for Data Poison Detection using Machine Learning

Authors: Pooja Patil, Swati J. Patel

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Normal Cell Differentiation Potential of Cancer Stem Cells Without Reprogramming Pluripotent Factors

Authors: Josita Jude Alloysius

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Exploring Different AI tools for Research Paper Writing

Authors: Gaurav Masand, Swathi Gurajala, Jedithjah Naapia Tamedi Papia, Liakutul Haque

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A Study to Analyse E-Commerce Website Functionality, Features, Layout Models and Popular Platforms

Authors: Rohan Tiwari

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Building Wealth in Stock Market The Comprehensive Guide to Intelligent Portfolio Theory and Trading

Authors: Dr.B. Umadevi, Dr.D. Sundar

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Integrating 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

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HYBRID 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

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Why 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

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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