Abstract: The subarray average delay multiply and sum (SADMAS) is adapted for phased array ultrasound imaging. The original SADMAS improves the imaging performance in terms of resolution and contrast ...

Abstract: Credit card fraud detection is a challenging problem due to imbalanced data and adversarial attacks. We propose an adversarial learning with sum of top-K loss (AST) framework for this task.

This approach iterates directly over values (for num in nums) instead of using the right index. Expands the window implicitly with each new num. Shrinks by moving left only when the condition is ...