This paper achieves the conversion of monaural audio into spatially immersive stereo audio through the use of binaural speech synthesis and Pyroomacoustics. It integrates dynamic spatial perception with the acoustic r...
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The presented research paper investigates the development and performance of adaptive strategies for nonuniform fading patterns in dual-branch Maximal Ratio Combining systems. The study employs key enabling strategies...
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One in every four cancer cases in women is breast cancer, which is the most prevalent malignancy in this group globally. In 2020, breast cancer will account for one in every eight new instances of cancer, according to...
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In the age of technology, every day, we ingest a variety of news data, either willingly or accidentally. People will always use various social media apps and keep looking for information. The information passed throug...
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In this paper, we propose a time-dependent multi-objective trip planning using ant colony optimization. Especially, the proposed method deals with time-dependent POI factors by utilizing past-trip records with time st...
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Important applications such as fraud or spam detection or churn prediction involve binary classification problems where the datasets are imbalanced and the cost of false positives greatly differs from the cost of fals...
Important applications such as fraud or spam detection or churn prediction involve binary classification problems where the datasets are imbalanced and the cost of false positives greatly differs from the cost of false negatives. We focus on classification trees, in particular oblique trees, which subsume both the traditional axis-aligned trees and logistic regression, but are more accurate than both while providing interpretable models. Rather than using ROC curves, we advocate a loss based on minimizing the false negatives subject to a maximum false positive rate, which we prove to be equivalent to minimizing a weighted 0/1 loss. This yields a curve of classifiers that provably dominates the ROC curve, but is hard to optimize due to the 0/1 loss. We give the first algorithm that can iteratively update the tree parameters globally so that the weighted 0/1 loss decreases monotonically. Experiments on various datasets with class imbalance or class costs show this indeed dominates ROC-based classifiers and significantly improves over previous approaches to learn trees based on weighted purity criteria or over- or undersampling. Copyright 2024 by the author(s)
The CRISPR-Cas9 genome editing system is a new technology that allows the modification of secret vital material using disruptions insertions or amendments of DNA sequence. It is an easy, widely accepted, and correct r...
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Single neuron modulates the external stimuli, and neural population coordinates to encode information. An alternate method for examining the coordinated populational activity in neural encoding is conditional neural c...
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Chronic diseases, characterized by long-term effects and persistent symptoms, pose significant challenges to human health and well-being. The hepatitis C virus (HCV) is the cause of chronic hepatitis C, which affects ...
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The attention mechanism is a core module in today's well-established models like Transformers and Graph Attention Networks (GAT). The attention coefficients needed typically requires heavy computational resources ...
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