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.
Over the past years, YOLOs have emerged as the predominant paradigm in the field of real-time object detection owing to their effective balance between computational cost and detection performance. Fo...
This research aims to select products that will be used for promotion on e-commerce platforms. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is used to...
Artificial intelligence (AI) in education (AIED) has evolved into a substantial body of literature with diverse perspectives. Additionally, this review highlights the diverse range of theories applied...
This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). Four types of faults were considered, along with...
In recent years, the You Only Look Once (YOLO) series of object detection algorithms have garnered significant attention for their speed and accuracy in real-time applications. Experimental results on...
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting recommendations for studie...
The Interactive Tree Of Life (https://itol.embl.de) is an online tool for the management, display, annotation and manipulation of phylogenetic and other trees. The functionality of the optional user a...
We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mas...
The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner. Compared to existing fou...
Prediction for loss of life transfomer is very important to ensure the reliability and efficiency of the power system. The results show a significant improvement in both transformers using stacking-GA...
The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated strong power of learning complex structures and meaningful semantics. Extensive experiments demonstrate tha...
Abstract In computer vision, a series of exemplary advances have been made in several areas involving image classification, semantic segmentation, object detection, and image super-resolution reconstr...
Abstract Autonomous agents have long been a research focus in academic and industry communities. Finally, we delve into the evaluation strategies commonly used for LLM-based autonomous agents.
Research on different machine learning (ML) has become incredibly popular during the past few decades. We explain how to choose a suitable statistical test for comparing models, how to obtain enough v...
To what extent are our conscious intentions and strategies in control of the way information is processed in our minds? Both of these views need to be accommodated.
This research explores visual-language foundation model for computational pathology, contributing new insights to the field of Artificial Intelligence.
This research explores Adapted large language models can outperform medical experts..., contributing new insights to the field of Artificial Intelligence.
Cognition and categorization /edited by Rosch, E. Part III studies concepts of representation that are basic to the previous discussions.
The following is a taxonomy of the animal kingdom.
This research explores scGPT: toward building a foundation model for single-cell mu..., contributing new insights to the field of Artificial Intelligence.