Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. Our hope in writing this article is to catalyze statistical research on this class of algori...
Introduction: How Meaning Is Created Making Active Choices: Language as a Set of Resources Analysing Semiotic Choices: Words and Images Presenting Speech and Speakers: Quoting Verbs Representing Peopl...
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have revolutionized the field of advanced robotics in recent years. Further research works regarding the applications of AI,...
Image dehazing is a representative low-level vision task that estimates latent haze-free images from hazy images. We also collect a large-scale realistic remote sensing dehazing dataset for evaluating...
The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance specifications are poised to revolutionize the telecom ecosystem. Based on this, we discuss innovations and challenges...
Natural language processing (NLP) has been studied in computing for decades. This study highlights the need for comprehensive debates and ethical considerations involved in their use.
This research explores No More Strided Convolutions or Pooling: A New CNN Building..., contributing new insights to the field of Artificial Intelligence.
The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The extensive experiments on available datasets validate the advanced performance of the reported...
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. We will also discuss the social, legal, and ethical implications of ChatGP...
ChatGPT (generative pre-trained transformer) is one of the artificial intelligence (AI) technologies that have started to be used in programming education. In line with this result, it can be said tha...
Transformer, the model of choice for natural language processing, has drawn scant attention from the medical imaging community. Additionally, we show that nnFormer and nnUNet are highly complementary...
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V.
The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. Additionally, we provide a comprehensive definition of MLOps and highl...
Segmentation of medical images has been the most demanding and growing area currently for analysis of medical images. The efficiency of the algorithms is measured by using metrics such as Dice Similar...
There is an increasing interest in developing artificial intelligence (AI) systems to process and interpret electronic health records (EHRs). GatorTron models scale up the clinical language model from...
Heterogeneous tabular data are the most commonly used form of data and are essential for numerous critical and computationally demanding applications. Our results, which we have made publicly availabl...
This research explores Principal component analysis, contributing new insights to the field of Artificial Intelligence.
Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. The experimental results...
Abstract The initial hype and fanfare from the Meta Platforms view of how the metaverse could be brought to life has evolved into an ongoing discussion of not only the metaverse's impact on users and...
Learning-based infrared small object detection methods currently rely heavily on the classification backbone network. The proposed UIU-Net also produces powerful generalization performance for video s...