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.
In this paper, the command filter-based adaptive fuzzy finite-time output feedback control (FOFC) is investigated for the Electro-hydraulic servo system. Moreover, a command filter is introduced to av...
Large language models (LMs) are able to in-context learn—perform a new task via inference alone by conditioning on a few input-label pairs (demonstrations) and making predictions for new inputs. Inste...
In hyperspectral image (HSI) classification, each pixel sample is assigned to a land-cover category. Using three standard datasets, experimental analysis confirms that the computation time is less tha...
Attention mechanisms, especially self-attention, have played an increasingly important role in deep feature representation for visual tasks. We further incorporate the multi-head mechanism into extern...
Machine Learning (ML) applications are making a considerable impact on healthcare. Shortly, ML will impact both physicians and hospitals.
Throughout the sport-science and sports-medicine literature, the term "elite" subjects might be one of the most overused and ill-defined terms. Finally, chronological age with reference to the junior...
Single-cell atlases often include samples that span locations, laboratories and conditions, leading to complex, nested batch effects in data. Overall, scANVI, Scanorama, scVI and scGen perform well, p...
Diffusion models have recently been shown to generate high-quality synthetic images, especially when paired with a guidance technique to trade off diversity for fidelity. Additionally, we find that ou...
We present a method that achieves advanced results for synthesizing novel views of complex scenes by optimizing an underlying continuous volumetric scene function using a sparse set of input views. Be...
It is no surprise that research on digital transformation (DT) has raised vast interest among academics in recent decades. Based on these findings, the second objective of this paper will be to propos...
Biomedical data are becoming increasingly multimodal and thereby capture the underlying complex relationships among biological processes. Similarly, utilizing transfer learning might overcome sample s...
Automatic segmentation methods are an important advancement in medical image analysis. We compare our loss function performance against six Dice or cross entropy-based loss functions, across 2D binary...
This research explores Explanation of machine learning models using shapley additiv..., contributing new insights to the field of Artificial Intelligence.
This research explores Partial Least Squares Structural Equation Modeling, contributing new insights to the field of Artificial Intelligence.
A thoroughly updated third edition of an classic and widely adopted text, perfect for practical transistor design and in the classroom. Chapters have been reorganized to integrate the appendices into...
This research explores Physics-informed neural networks (PINNs) for fluid mechanics..., contributing new insights to the field of Artificial Intelligence.
Artificial intelligence (AI) systems have increasingly achieved expert-level performance in medical imaging applications. We find that classifiers produced using advanced computer vision techniques co...
This research explores Conference on Computer Vision and Pattern Recognition (CVPR)..., contributing new insights to the field of Artificial Intelligence.
The variants of concern (VoCs) of SARS-CoV-2 have highlighted the need for a global molecular surveillance of pathogens via whole genome sequencing. Nextclade aligns viral genomes to a reference seque...
The UN COP26 2021 conference on climate change offers the chance for world leaders to take action and make urgent and meaningful commitments to reducing emissions and limit global temperatures to 1.5...