Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
classification and relationships identified from the review. This knowledge base will be captured and presented as an ontology for building an online platform to provide case-based reasoning and semantic research
-
Accounting, Finance, Commerce, or similar discipline, and CA/CPA designation. Knowledge and Skills: Expertise in applying accounting standards, developing complex budgets, and providing strategic financial
-
while inferring underlying physiological changes. Required knowledge Machine learning, dynamical systems theory, control theory, signal processing, time series analysis, neuroscience are all relevant and
-
. The goal is to find common brain mechanisms and networks that are effected by different kinds anaesthetics to see if this points to a 'backbone' for the generation of consciousness. Required knowledge
-
expert guidance from industry leaders, you can be sure that you'll be equipped with the skills and knowledge needed to excel in your field. Join the MTI community today and unlock your full potential
-
before they are created in real life. Required knowledge The candidate should have some skills in the following areas, or a willingness to learn these skills: programming, machine learning, AI, neural
-
project aims to devise novel methodologies for construct an event driven knowledge base to understand and detect criminal activities (eg - sexual grooming, or misrepresentation) in order to provide adequate
-
include: a comprehensive framework for conceptualising techniques related to ICDA, empirically derived insights and knowledge about the application and effectiveness of ICDA methods. References [1] Chen, G
-
. An enthusiasm for interdisciplinary collaboration and application of research to real-world challenges Symbolic knowledge representation and reasoning, including temporal logics and Answer Set Programming (ASP
-
Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical