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Found 11 papers, 1 papers with code
Machine Learning-based Nutrient Application's Timeline Recommendation for Smart Agriculture: A Large-Scale Data Mining Approach
This study addresses the vital role of data analytics in monitoring fertiliser applications in crop cultivation.
IP-UNet: Intensity Projection UNet Architecture for 3D Medical Volume Segmentation
IP-UNet is a UNet-based model that performs multi-class segmentation on Intensity Projection (IP) of 3D volumetric data instead of the memory-consuming 3D volumes.
OAK4XAI: Model towards Out-Of-Box eXplainable Artificial Intelligence for Digital Agriculture
We built an Agriculture Computing Ontology (AgriComO) to explain the knowledge mined in agriculture.
Knowledge Representation in Digital Agriculture: A Step Towards Standardised Model
The challenge now is how to exploit all this large amount of knowledge that is previously known for efficient decision-making processes.
Edge-enabled Metaverse: The Convergence of Metaverse and Mobile Edge Computing
The Metaverse is a virtual environment where users are represented by avatars to navigate a virtual world, which has strong links with the physical one.
OAK: Ontology-Based Knowledge Map Model for Digital Agriculture
This knowledge and know-how information are collected from various sources, hence the question is how to organise this knowledge so that it can be efficiently exploited.
Predicting Soil pH by Using Nearest Fields
In precision agriculture (PA), soil sampling and testing operation is prior to planting any new crop.
Human Activity Recognition with Convolutional Neural Netowrks
The problem of automatic identification of physical activities performed by human subjects is referred to as Human Activity Recognition (HAR).
DIALOG: A framework for modeling, analysis and reuse of digital forensic knowledge
This paper presents DIALOG (Digital Investigation Ontology); a framework for the management, reuse, and analysis of Digital Investigation knowledge.
A complete formalized knowledge representation model for advanced digital forensics timeline analysis
Having a clear view of events that occurred over time is a difficult objective to achieve in digital investigations (DI).
Automatic Classification of Knee Rehabilitation Exercises Using a Single Inertial Sensor: a Case Study
In this paper, we present a classification method for unsupervised rehabilitation exercises, based on a segmentation process that extracts repetitions from a longer signal activity.
