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.
Modern change detection (CD) has achieved remarkable success by the powerful discriminative ability of deep convolutions. Based on a naive backbone (ResNet18) without sophisticated structures (e.g., f...
This research explores Machine learning for alloys, contributing new insights to the field of Artificial Intelligence.
Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. Finally, we discuss interesting topics around Data Augmentation in NLP such as task-specific augmentatio...
The Delphi technique is a systematic process of forecasting using the collective opinion of panel members. There was inconsistency in reporting vital elements of Delphi methods such as identification...
Metal-organic frameworks (MOFs) have been widely recognized as one of the most fascinating classes of materials from science and engineering perspectives, benefiting from their high porosity and well-...
Abstract Fast charging is considered to be a key requirement for widespread economic success of electric vehicles. The advantages and disadvantages of typical LIB materials are analyzed, resulting in...
Recently, there has been a surge of diverse methods for performing image editing by employing pre-trained unconditional generators. We present an encoder based on our two principles that is specifical...
In this report, we present some experienced improvements to YOLO series, forming a new high-performance detector -- YOLOX. We hope this report can provide useful experience for developers and research...
This research explores SimAM: A Simple, Parameter-Free Attention Module for Convolu..., contributing new insights to the field of Artificial Intelligence.
This research explores CRISPR-based diagnostics, contributing new insights to the field of Medicine & Biology.
Widespread acceptance of COVID-19 vaccines is crucial for achieving sufficient immunization coverage to end the global pandemic, yet few studies have investigated COVID-19 vaccination attitudes in low...
Large-scale vision and language representation learning has shown promising improvements on various vision-language tasks. On VQA and NLVR$^2$, ALBEF achieves absolute improvements of 2.37% and 3.84%...
Abstract Proteins are essential to life, and understanding their structure can facilitate a mechanistic understanding of their function. We validated an entirely redesigned version of our neural netwo...
DeepMind presented notably accurate predictions at the recent 14th Critical Assessment of Structure Prediction (CASP14) conference. The network also enables rapid generation of accurate protein-protei...
BACKGROUND: A significant number of patients with COVID-19 experience prolonged symptoms, known as Long COVID. FUNDING: All authors contributed to this work in a voluntary capacity.
This research explores Acute kidney injury, contributing new insights to the field of Medicine & Biology.
Cryo-EM maps are valuable sources of information for protein structure modeling. DeepEMhancer was evaluated on a testing set of 20 different experimental maps, showing its ability to reduce noise leve...
Globally, there are now over 160 million confirmed cases of COVID-19 and more than 3 million deaths. These individuals may require multidisciplinary care involving the long-term monitoring of symptoms...
Oxidative stress and inflammation have been recognized as important contributors to the risk of chronic non-communicable diseases. Intervention trials using EPA + DHA indicate benefit on CVD mortality...
We analysed 9,030 variant-specific RT-PCR tests performed on SARS-CoV-2-positive samples collected in France between 31 May and 21 June 2021. This analysis revealed rapid growth of the Delta variant i...