Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
Nisal Ranasinghe, Amirthalingam Ramanan, Subha Fernando, Pathima Nusrath Hameed, Damayanthi Herath, Tamasha Malepathirana, Ponnuthurai Nagaratnam Suganthan, Mahesan Niranjan, Saman Halgamuge
Abstract
The Journal of the National Science Foundation of Sri Lanka publishes the results of research in all aspects of Science and Technology. The journal also has a website at http://www.nsf.gov.lk/. 2021 Impact Factor: 0.682The JNSF provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.
Topics & Concepts
InterpretabilityArtificial intelligenceMachine learningComputer scienceContext (archaeology)Domain (mathematical analysis)Data scienceInterpretation (philosophy)Risk analysis (engineering)Management scienceKnowledge managementEngineeringMedicineGeographyMathematicsMathematical analysisProgramming languageArchaeologyExplainable Artificial Intelligence (XAI)