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.
The metaverse has been recognized as one of the technologies with the greatest potential today. It is expected that, via this paper, researchers from the fields of both computer science and educationa...
This research explores Exploring Plain Vision Transformer Backbones for Object Dete..., contributing new insights to the field of Artificial Intelligence.
This research explores Methods of Mathematical Physics, contributing new insights to the field of Physics & Space Science.
This research explores Joint Feature Learning and Relation Modeling for Tracking: A..., contributing new insights to the field of Artificial Intelligence.
We introduce BitFit, a sparse-finetuning method where only the bias-terms of the model (or a subset of them) are being modified. For larger data, the method is competitive with other sparse fine-tunin...
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. We then pr...
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.
Psychiatric and neurological disorders are influenced by an undetermined number of genes and molecular pathways that may differ among afflicted individuals. A major challenge will be openly sharing re...
Originating in ancient India, Ayurveda is an alternative medicinal approach that provides substantial evidence for a theoretical-level analysis of all aspects of life. A foundation of -based medicine,...
Genome sequencing projects of humans and other organisms reinforced that the complexity of biological systems is largely attributed to the tight regulation of gene expression at the epigenome and RNA...
The focus of precision medicine is providing the right treatment to each unique patient. In this review, we discuss the practicality of various 3D drug screening models and each model's ability to cap...
This PSB 2022 session addresses challenges and solutions in translating Big Data Imaging Genomics research towards personalized medicine and guiding individual clinical decisions.
Precision medicine is revolutionizing cancer treatment. Our combined analyses suggest that both system-level and patient-level barriers limit patient access to precision cancer medicine options.
The acceleration of large-scale sequencing and the progress in high-throughput computational analyses, defined as omics, was a hallmark for the comprehension of the biological processes in human healt...
The ability to efficiently isolate antigen-specific B cells in high throughput will greatly accelerate the discovery of therapeutic monoclonal antibodies (mAbs) and catalyze rational vaccine developme...
The field of precision medicine has undergone significant growth over the past 10 years. Additionally, 41% of physicians responded that their lack of training identifying appropriate genetic tests and...