|
|
|
Vishnu Priya Biyyapu, Sastry Kodanda Rama Jammalamadaka, Sasi Bhanu Jammalamadaka, Bhupati Chokara, Bala Krishna Kamesh Duvvuri and Raja Rao Budaraju
The main channel for disseminating information is now the Internet. Users have different expectations for the calibre of websites regarding the posted and presented content. The website?s quality is influenced by up to 120 factors, each represented by tw...
ver más
|
|
|
|
|
|
Lingfeng Huang, Jieyu Zhao and Yu Chen
3D mesh as a complex data structure can provide effective shape representation for 3D objects, but due to the irregularity and disorder of the mesh data, it is difficult for convolutional neural networks to be directly applied to 3D mesh data processing....
ver más
|
|
|
|
|
|
Ekaterina Lopukhova, Ansaf Abdulnagimov, Grigory Voronkov, Ruslan Kutluyarov and Elizaveta Grakhova
In intelligent transportation systems, an important task is to provide a highly efficient communication channel between vehicles and other infrastructure objects that meets energy efficiency requirements and involves low time delays. The paper presents a...
ver más
|
|
|
|
|
|
Chrisoula Alexandraki, Michael Starakis, Panagiotis Zervas and Rolf Bader
Percussionists use a multitude of objects and materials, mounted on their instruments, to achieve a satisfying sound texture. This is a tedious process as there are no guidelines suggesting how to manipulate a percussion instrument to adjust its perceptu...
ver más
|
|
|
|
|
|
Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev and Alexander Panchenko
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
ver más
|
|
|