School of Information Engineering, Shanghai Maritime University, Shanghai 201306, P. R. China ...
Ensuring road safety and advancing autonomous driving technology necessitate the accurate and timely detection of traffic signs. Traffic sign detection faces challenges from complex backgrounds and ...
Abstract: The increasing number of breast cancer-related deaths annually underscores the pressing need for improved prediction and diagnostic techniques. Machine learning offers a promising avenue for ...
Applied Bioinformatics, Department for Computer Science, University of Tübingen, 72076 Tübingen, Germany Institute for Bioinformatics and Medical Informatics, University of Tübingen, 72076 Tübingen, ...
Differential Network (DN) analysis is a method that has long been used to interpret changes in gene expression data and provide biological insights. The method identifies the rewiring of gene networks ...
Drought is a complex and variable stress that is difficult to quantify and link to underlying mechanisms both within and across species. Here, we developed a predictive model to classify drought ...
This repo is an self implemention of "MAMBA: Multi-level Aggregation via Memory Bank for Video Object Detection" in AAAI 2021. This repository contains a PyTorch implementation of the approach MAMBA ...
The whole lab2ust folder will be put in the UTAU plugins folder. Just follow the steps that the plugin gives you. It supports stringing together phonemes to notes. It supports the Japanese phoneme set ...
In the last decade, a few valuable types of research have been conducted to discriminate fractured zones from non-fractured ones. In this paper, petrophysical and image logs of eight wells were ...
Bayesian Decision Trees provide a probabilistic framework that reduces the instability of Decision Trees while maintaining their explainability. While Markov Chain Monte Carlo methods are typically ...
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