Zobrazeno 1 - 10
of 5 217
pro vyhledávání: '"Deny, A."'
Deep learning is closing the gap with human vision on several object recognition benchmarks. Here we investigate this gap for challenging images where objects are seen in unusual poses. We find that humans excel at recognizing objects in such poses.
Externí odkaz:
http://arxiv.org/abs/2402.03973
Deep learning is providing a wealth of new approaches to the old problem of novel view synthesis, from Neural Radiance Field (NeRF) based approaches to end-to-end style architectures. Each approach offers specific strengths but also comes with specif
Externí odkaz:
http://arxiv.org/abs/2402.02906
Autor:
Remya Rajan, Aaron Chapla, Jabasteen Johnson, Deny Varghese, H. S. Asha, Felix Jebasingh, Nitin Kapoor, Thomas V. Paul, Nihal Thomas
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract In this study, we analysed the mutation spectrum in subjects with suspected lipodystrophy using a targeted Next-generation sequencing (NGS) approach. Subjects with suspected lipodystrophy were for screened six genes (AGPAT2, BSCL2, LMNA, PPA
Externí odkaz:
https://doaj.org/article/3eff532691fc4fc588d99abe45f2ed64
Publikováno v:
Journal of Electrical Engineering and Computer, Vol 6, Iss 2, Pp 460-469 (2024)
Dalam pembudidayaan ikan, waktu pemberian pakan merupakan hal yang penting karena ikan membutuhkan pakan dengan jadwal yang teratur dan jumlah yang cukup. Untuk membantu pembudidaya ikan, pada penelitian ini dirancang suatu sistem yang dapat bekerja
Externí odkaz:
https://doaj.org/article/cf082644678f463bbdf5d3519d44c2ee
Publikováno v:
Qualitative Market Research: An International Journal, 2024, Vol. 27, Issue 4, pp. 631-649.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/QMR-09-2023-0127
It is commonly observed that deep networks trained for classification exhibit class-selective neurons in their early and intermediate layers. Intriguingly, recent studies have shown that these class-selective neurons can be ablated without deteriorat
Externí odkaz:
http://arxiv.org/abs/2305.17409
Autor:
Fitriyono Ayustaningwarno, Azzahra Mutiara Ayu, Diana Nur Afifah, Gemala Anjani, Nuryanto Nuryanto, Hartanti Sandi Wijayanti, Deny Yudi Fitranti, Lukluk Rona Tsaniya, Selvi Afiani, Arsyila Razaq, Fan Zhu
Publikováno v:
Discover Food, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Fruit, as a source of antioxidants and phenolic compounds, is perishable. It also has an underutilized component. Fruit leather has a long shelf life in the form of thin sheets with a distinctive texture. This study aimed to investigate the
Externí odkaz:
https://doaj.org/article/4d27d19b50624256aa97c4ad9e4a93c4
Autor:
Ragil Angga Prastiya, Trilas Sardjito, Amung Logam Saputro, Darmawan Setia Budi, Styuderil Imaniro Maxdhameta, Elis Sulistiyawati, Deny Sulistyowati, Anny Amaliya, Samira Musa Sasi, Nining Haryuni
Publikováno v:
Open Veterinary Journal, Vol 14, Iss 8, Pp 2040-2048 (2024)
Background: The preservation of semen quality and kinematic characteristics during cryopreservation is crucial for the reproductive success and genetic management of livestock, particularly in Bali bulls. Aim: This study aimed to investigate the effe
Externí odkaz:
https://doaj.org/article/ac74ac75dd4e47df9592bb044199b502
Autor:
Francesca Foti, Floriana Costanzo, Carlo Fabrizio, Andrea Termine, Deny Menghini, Tiziana Iaquinta, Stefano Vicari, Laura Petrosini, Peter R. Blake
Publikováno v:
Journal of Neurodevelopmental Disorders, Vol 16, Iss 1, Pp 1-16 (2024)
Abstract Background Sharing and fairness are important prosocial behaviors that help us navigate the social world. However, little is known about how and whether individuals with Williams Syndrome (WS) engage in these behaviors. The unique phenotype
Externí odkaz:
https://doaj.org/article/8f8bc39623c4420a9afe6bf5a7db5256
Current state-of-the-art deep networks are all powered by backpropagation. In this paper, we explore alternatives to full backpropagation in the form of blockwise learning rules, leveraging the latest developments in self-supervised learning. We show
Externí odkaz:
http://arxiv.org/abs/2302.01647