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 recent times, deep artificial neural networks have achieved many successes in pattern recognition. Through the results, we are able to analyze the characteristics, advantages and disadvantages, and...
Infectious diseases are a leading cause of morbidity and mortality worldwide, and human pathogens have long been recognized as one of the main sources of evolutionary pressure, resulting in a high var...
This research explores Designing the next generation of proton-exchange membrane fu..., contributing new insights to the field of Physics & Space Science.
This research explores Chemical Engineering Design: Principles, Practice and Econom..., contributing new insights to the field of Engineering & Technology.
Gives a complete and rigorous presentation of the mathematical study of the expressions - hemivariational inequalities - arising in problems that involve nonconvex, nonsmooth energy functions.
Dataset Shift in Clinical Trials This letter outlines how to identify, and potentially mitigate, common sources of “dataset shift” in machine-learning systems.
Perhaps the most straightforward classifier in the arsenal or Machine Learning techniques is the Nearest Neighbour Classifier—classification is achieved by identifying the nearest neighbours to a quer...
This research explores Late-stage C–H functionalization offers new opportunities in..., contributing new insights to the field of Engineering & Technology.
Cancer development and its response to therapy are regulated by inflammation, which either promotes or suppresses tumor progression, potentially displaying opposing effects on therapeutic outcomes. He...
This research explores CD8+ T cell differentiation and dysfunction in cancer, contributing new insights to the field of Medicine & Biology.
Metaheuristics play a critical role in solving optimization problems, and most of them have been inspired by the collective intelligence of natural organisms in nature. The results demonstrate that th...
Abstract This paper provides a brief analytical review of the current state‐of‐the‐art in relation to the explainability of artificial intelligence in the context of recent advances in machine learnin...
This research explores Applications of deep learning in stock market prediction: Re..., contributing new insights to the field of Artificial Intelligence.
Representation learning on user-item graph for recommendation has evolved from using single ID or interaction history to exploiting higher-order neighbors. This leads to the success of graph convoluti...
Land use/land cover (LULC) maps are foundational geospatial data products needed by analysts and decision makers across governments, civil society, industry, and finance to monitor global environmenta...
Abstract Modeling the effect of sequence variation on function is a fundamental problem for understanding and designing proteins. The conventional setting is limited, since a new model must be trained...
Incorporating passive radiative cooling structures into personal thermal management technologies could effectively defend humans against intensifying global climate change. Practical application tests...
This research explores green hydrogen economy for a renewable energy society, contributing new insights to the field of Engineering & Technology.
This research explores Reduced sensitivity of SARS-CoV-2 variant Delta to antibody..., contributing new insights to the field of Medicine & Biology.
Abstract Removal of heavy metal ions from wastewater is of prime importance for a clean environment and human health. More attention should be drawn to using real wastewaters rather than synthetic one...