Smart Farm IoT System: A Distributed Versioned Architecture for IoT Data Ingestion, Validation, and Persistence in Precision Agriculture

VOVINA SHAKINA: A Paraconsistent Axiomatic Operating System Kernel with Holographic Data Architecture Based on the Five-Dimensional Curzi Manifold (M⁵)

Michael Curzi

VOVINA SHAKINA — ZEDEC pqOS Technical White Paper Author: H.M. Michael-Laurence: Curzi (c)Date: 2026-07-24Version: 1.0 — Bootable ReleaseClassification: Public 1. Executive Summary VOVINA SHAKINA is the reference implementation of the ZEDEC pqOS — a bare-metal operating system ke…Read more

A Scalable Distributed and Fault-Tolerant Architecture for Cloud-Based Machine Learning and Data Analysis

Grace Dooshima GBOR, Emmanuel Ogala, Donald Douglas Atsa’am, Iorshashe Agaji

Abstract The rapid growth of data-intensive applications has necessitated the development of scalable and efficient architectures for cloud-based machine learning and data analysis. This study proposes a scalable, distributed, and fault-tolerant architecture designed to address t…Read more

Blockchain-Edge Security Framework for Industrial IoT Smart Spaces: Chaincode, Benchmark Harness, and Experimental Data

Martin Parmar, Het Khatusuriya, Dharmendra Chauhan, Mrugendra Rahevar, Bimal Patel, Hiren Mewada

Source code and raw experimental data supporting the paper "A Hardware-Validated Permissioned Blockchain-Edge Security Framework for Industrial IoT Smart Spaces" (submitted to IEEE Transactions on Industrial Informatics, 2026). Includes: (1) the Hyperledger Fabric v2.4.9 chaincod…Read more

Also available via: European Organization for Nuclear Research

Theoretical Framework, Perception Mechanisms, and Application Prospects of Crop Resource Perception Science in Smart Agriculture

Jincheng Zhang

With the intensifying pressure of global climate change and resource constraints, the transition of traditional agriculture toward highly efficient, precise, and sustainable smart agriculture has become an inevitable trend. As the absolute core of agricultural production, crops p…Read more

A High-Performance Scalable Architecture for Cloud-Based Deep Learning and Data-Intensive Applications

Grace Dooshima GBOR, Emmanuel Ogala, Donald Douglas Atsa’am, Iorshashe Agaji

Abstract The rapid growth of big data and the increasing complexity of deep learning applications have created significant challenges for traditional data processing infrastructures, particularly in terms of scalability, performance, and resource efficiency. This study presents a…Read more

Microgreen Master Dataset (Public Version): RGB Image Dataset for Classification of Healthy, Dry, and Mold-Affected Microgreens

Ganna Zavolodko, Volodymyr Andriushchenko

The Microgreen Master Dataset (Public Version) is an open RGB image dataset developed to support research in computer vision, artificial intelligence, and smart agriculture. The dataset is intended for training and evaluating machine learning models for automatic classification o…Read more