Abstract. The testing of anomaly detectors is considered from the perspective of a Multi-objective Evolutionary Exploit Generator (EEG). Such a framework provides users of anomaly ...
Most models of decision-making in neuroscience assume an infinite horizon, which yields an optimal solution that integrates evidence up to a fixed decision threshold; however, u...
Improving testability during the early stages of High-level synthesis has several advantages including reduced test hardware overhead and design iterations. Recently, BIST techniq...
This paper proposes a new statistical model-based likelihood ratio test (LRT) VAD to obtain reliable speech / non-speech decisions. In the proposed method, the likelihood ratio (L...
In this paper, an original result in terms of a sufficient condition to test identifiability of nonlinear delayed-differential models with constant delays and multi-inputs is give...