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.
This research explores Transforming our world: the 2030 Agenda for Sustainable Deve..., contributing new insights to the field of Mathematics.
Full list of authors: Price-Whelan, Adrian M.; Lim, Pey Lian; Earl, Nicholas; Starkman, Nathaniel; Bradley, Larry; Shupe, David L.; Patil, Aarya A.; Corrales, Lia; Brasseur, C. G.; Wilson, Tom J.; Win...
Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have shown prominence for the majority of medical image segmentation applications since the past decade. We have valida...
Stroke remains the second-leading cause of death and the third-leading cause of death and disability combined (as expressed by disability-adjusted life-years lost - DALYs) in the world. From 1990 to 2...
Object detection techniques are the foundation for the artificial intelligence field. The central insight is the YOLO algorithm improvement is still ongoing.This article briefly describes the developm...
This research explores AI in health and medicine, contributing new insights to the field of Medicine & Biology.
One of the fundamental components of the United Nations’ sustainable development 2030 agenda is quality education. These methods aid in increasing interest in research.
This research explores ByteTrack: Multi-object Tracking by Associating Every Detect..., contributing new insights to the field of Artificial Intelligence.
This research explores Inflammation in obesity, diabetes, and related disorders, contributing new insights to the field of Medicine & Biology.
The viability of water electrolysis still hinges on the availability of durable earth-abundant electrocatalyst materials and the overall process efficiency. In addition, a technoeconomic analysis of w...
This research explores Swin UNETR: Swin Transformers for Semantic Segmentation of B..., contributing new insights to the field of Artificial Intelligence.
We present SR3, an approach to image Super-Resolution via Repeated Refinement. We evaluate SR3 on a 4× super-resolution task on ImageNet, where SR3 outperforms baselines in human evaluation and classi...
Working with large amounts of text data has become hectic and time-consuming. That said, we propose an approach that relies on Question Answering for acquiring information from unstructured data, in o...
An important step when designing an empirical study is to justify the sample size that will be collected. Depending on the sample size justification chosen, researchers could consider 1) what the smal...
The present critical review was conducted to evaluate the clinimetric properties of the Charlson Comorbidity Index (CCI), an assessment tool designed specifically to predict long-term mortality, with...
STUDY QUESTION: How should endometriosis be diagnosed and managed based on the best available evidence from published literature? The other authors have no conflicts of interest to declare.
This seminal text demystifies the terminology of working in the fashion industry today, providing definitions of processes, techniques, features, and even some historical terms that you need to know....
Particle swarm optimization (PSO) is one of the most well-regarded swarm-based algorithms in the literature. Moreover, this paper reviews recent studies that utilize PSO to solve feature selection pro...
The emergence of the Mobile Ad Hoc Networking (MANET) technology advocates self-organized wireless interconnection of communication devices that would either extend or operate in concert with the wire...
This paper documents the seventeenth data release (DR17) from the Sloan Digital Sky Surveys; the fifth and final release from the fourth phase (SDSS-IV). This paper concludes the release of SDSS-IV su...