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Modified Binary Search Algorithm
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This paper proposes a modification to the traditional binary search algorithm in which it checks the presence of the input element with the middle element of the given set of elements at each iteration. Modified binary search algorithm optimizes the worst case of the binary search algorithm by comparing the input element with the first & last element of the data set along with the middle element and also checks the input number belongs to the range of numbers present in the given data set at each iteration there by reducing the time taken by the worst cases of binary search algorithm.
Forward citations
Cited by 2 Pith papers
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Real-Time Emergency Vehicle Siren Detection with Efficient CNNs on Embedded Hardware
A fine-tuned CNN (E2PANNs) deployed on a Raspberry Pi 5 detects emergency vehicle sirens in real time with adaptive frame sizing and post-processing, reporting up to 78% framewise F1 on a corrected AudioSet-Strong subset.
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From Large-scale Audio Tagging to Real-Time Explainable Emergency Vehicle Sirens Detection
By fine-tuning a pruned PANNs CNN on a newly curated AudioSet subset, the authors build E2PANNs, a real-time emergency vehicle siren detector that runs on a Raspberry Pi 5 and is claimed to be state of the art.
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