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Found 8 papers, 0 papers with code
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
The state of the art methods require time-consuming and labor intensive feature engineering that describes the properties of the entities, their context, domain knowledge, and linguistic characteristics.
Chatbot Application to Support Smart Agriculture in Thailand
In the agriculture sector, the existing smart agriculture systems just use data from sensing and internet of things (IoT) technologies that exclude crop cultivation knowledge to support decision-making by farmers.
Blockchain-based Access Control for Secure Smart Industry Management Systems
The role-based access control is developed to determine users' roles and rights in smart contracts.
3D Quantum Cuts for Automatic Segmentation of Porous Media in Tomography Images
Binary segmentation of volumetric images of porous media is a crucial step towards gaining a deeper understanding of the factors governing biogeochemical processes at minute scales.
Jointly identifying opinion mining elements and fuzzy measurement of opinion intensity to analyze product features
The feature-by-feature comparison can help to select the weaker features and recommend the correct specifications from the beginning life of a product.
Optimized Hidden Markov Model based on Constrained Particle Swarm Optimization
As one of Bayesian analysis tools, Hidden Markov Model (HMM) has been used to in extensive applications.
Infrastructure for the representation and electronic exchange of design knowledge
The goal of the paper is to find standards to model knowledge and exchange it with an other person.
Ontology based system to guide internship assignment process
Internship assignment is a complicated process for universities since it is necessary to take into account a multiplicity of variables to establish a compromise between companies' requirements and student competencies acquired during the university training.
