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 Federated learning on non-IID data: A survey, contributing new insights to the field of Artificial Intelligence.
This research explores review on deep learning in medical image analysis, contributing new insights to the field of Artificial Intelligence.
This research explores BiSeNet V2: Bilateral Network with Guided Aggregation for Re..., contributing new insights to the field of Artificial Intelligence.
This research explores FairMOT: On the Fairness of Detection and Re-identification..., contributing new insights to the field of Artificial Intelligence.
This research explores Transparency and the Black Box Problem: Why We Do Not Trust..., contributing new insights to the field of Artificial Intelligence.
This research explores Artificial intelligence and machine learning in finance: Ide..., contributing new insights to the field of Artificial Intelligence.
Large single-cell atlases are now routinely generated to serve as references for analysis of smaller-scale studies. Finally, scArches retains coronavirus disease 2019 (COVID-19) disease variation when...
Deep learning-based object detection and instance segmentation have achieved unprecedented progress. Taking YOLACT on MS COCO as an example, our method achieves performance gains as +1.7 AP and +6.2 A...
Abstract Artificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Our analysis synthesizes the current l...
The completely revised edition of the leading reference on human factors and ergonomics The field of human factors and ergonomics has developed and broadened considerably since its inception more than...
In recent years, network analysis has been applied to identify and analyse patterns of statistical association in multivariate psychological data. Network analysis allows the investigation of complex...
This research explores Deep Learning: A Comprehensive Overview on Techniques, Taxon..., contributing new insights to the field of Artificial Intelligence.
This research explores role of PFC networks in cognitive control and executive func..., contributing new insights to the field of Artificial Intelligence.
The rapid increase in both the quantity and complexity of data that are being generated daily in the field of environmental science and engineering (ESE) demands accompanied advancement in data analyt...
AI is undergoing a paradigm shift with the rise of models (e.g., BERT, DALL-E, GPT-3) that are trained on broad data at scale and are adaptable to a wide range of downstream tasks. Despite the impendi...
Deep learning has been overwhelmingly successful in computer vision (CV), natural language processing, and video/speech recognition. We recognize three development stages in the past decade and emphas...
Land cover (LC) determines the energy exchange, water and carbon cycle between Earth's spheres. Gain for Green) in China and revealed the anthropogenic implications on LC under the condition of climat...
This research explores Industry 5.0: A survey on enabling technologies and potentia..., contributing new insights to the field of Artificial Intelligence.
This research explores Exploring tissue architecture using spatial transcriptomics, contributing new insights to the field of Artificial Intelligence.
Abstract Model-based predictive control (MPC) describes a set of advanced control methods, which make use of a process model to predict the future behavior of the controlled system. Additionally, we p...