Zobrazeno 1 - 10
of 8 408
pro vyhledávání: '"Kelin, A."'
We introduce, for the first time, a cohomology-based Gromov-Hausdorff ultrametric method to analyze 1-dimensional and higher-dimensional (co)homology groups, focusing on loops, voids, and higher-dimensional cavity structures in simplicial complexes,
Externí odkaz:
http://arxiv.org/abs/2411.13887
Even with the significant advances of AlphaFold-Multimer (AF-Multimer) and AlphaFold3 (AF3) in protein complex structure prediction, their accuracy is still not comparable with monomer structure prediction. Efficient quality assessment (QA) or estima
Externí odkaz:
http://arxiv.org/abs/2410.17815
Molecular property prediction is a crucial task in the process of Artificial Intelligence-Driven Drug Discovery (AIDD). The challenge of developing models that surpass traditional non-neural network methods continues to be a vibrant area of research.
Externí odkaz:
http://arxiv.org/abs/2410.11323
Accurate and efficient prediction of polymer properties is of key importance for polymer design. Traditional experimental tools and density function theory (DFT)-based simulations for polymer property evaluation, are both expensive and time-consuming
Externí odkaz:
http://arxiv.org/abs/2410.04765
Autor:
Li, Kelin, Wagh, Shubham M, Sharma, Nitish, Bhadani, Saksham, Chen, Wei, Liu, Chang, Kormushev, Petar
Robotic manipulation is essential for the widespread adoption of robots in industrial and home settings and has long been a focus within the robotics community. Advances in artificial intelligence have introduced promising learning-based methods to a
Externí odkaz:
http://arxiv.org/abs/2409.11925
Smartphones have significantly enhanced our daily learning, communication, and entertainment, becoming an essential component of modern life. However, certain populations, including the elderly and individuals with disabilities, encounter challenges
Externí odkaz:
http://arxiv.org/abs/2409.09354
Autor:
Chen, Zhiqiang, Qi, Yuhua, Feng, Dapeng, Zhuang, Xuebin, Chen, Hongbo, Hu, Xiangcheng, Wu, Jin, Peng, Kelin, Lu, Peng
The ability to estimate pose and generate maps using 3D LiDAR significantly enhances robotic system autonomy. However, existing open-source datasets lack representation of geometrically degenerate environments, limiting the development and benchmarki
Externí odkaz:
http://arxiv.org/abs/2409.04961
Class imbalance significantly impacts the performance of multi-label classifiers. Oversampling is one of the most popular approaches, as it augments instances associated with less frequent labels to balance the class distribution. Existing oversampli
Externí odkaz:
http://arxiv.org/abs/2408.13078
With remarkable stability and exceptional optoelectronic properties, two-dimensional (2D) halide layered perovskites hold immense promise for revolutionizing photovoltaic technology. Presently, inadequate representations have substantially impeded th
Externí odkaz:
http://arxiv.org/abs/2407.16996
Recently, therapeutic peptides have demonstrated great promise for cancer treatment. To explore powerful anticancer peptides, artificial intelligence (AI)-based approaches have been developed to systematically screen potential candidates. However, th
Externí odkaz:
http://arxiv.org/abs/2407.08974