Safety validation is important during the development of safety-critical autonomous systems but can require significant computational effort. Existing algorithms often start from scratch each time system under test changes. We apply transfer learning to improve efficiency reinforcement based safety when applied related systems. Knowledge previous tasks encoded through action value function and ...

Camera trapping is increasingly used to monitor wildlife, but this technology typically requires extensive data annotation. Recently, deep learning has significantly advanced automatic wildlife recognition. However, current methods are hampered by a dependence on large static sets when intrinsically dynamic and involves long-tailed distributions. These two drawbacks can be overcome through hybr...

The controller setting is a simple task if the process parameters are known. If model not known then modern approach adaptive method. paper shows that complex problem of iterative methods for simultaneous identification and control how can be handled.

individuals act differently in learning, this being due to the difference in learning styles of persons. learning styles affect optimum learning and the efficiency in educational output. therefore an identification of the learning styles of learners as related to teaching and learning activities is most important. the purpose of this study was to investigate the learning styles of agricultural ...