Zobrazeno 1 - 10
of 9 649
pro vyhledávání: '"Dependencies"'
Publikováno v:
Communications of the ACM. Nov2018, Vol. 61 Issue 11, p98-104. 7p. 1 Color Photograph, 8 Diagrams.
Publikováno v:
The Learning Organization, 2024, Vol. 31, Issue 6, pp. 960-984.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/TLO-02-2023-0025
Autor:
Daniel J. Merk, Foteini Tsiami, Sophie Hirsch, Bianca Walter, Lara A. Haeusser, Jens D. Maile, Aaron Stahl, Mohamed A. Jarboui, Anna Lechado-Terradas, Franziska Klose, Sepideh Babaei, Jakob Admard, Nicolas Casadei, Cristiana Roggia, Michael Spohn, Jens Schittenhelm, Stephan Singer, Ulrich Schüller, Federica Piccioni, Nicole S. Persky, Manfred Claassen, Marcos Tatagiba, Philipp J. Kahle, David E. Root, Markus Templin, Ghazaleh Tabatabai
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-38 (2024)
Abstract Background Atypical teratoid rhabdoid tumors (ATRT) are incurable high-grade pediatric brain tumors. Despite intensive research efforts, the prognosis for ATRT patients under currently established treatment protocols is poor. While novel the
Externí odkaz:
https://doaj.org/article/c3f097f8f86b4c4a8b8f3ec94c994ed5
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Given the anonymity and complexity of illegal transactions, traditional deep-learning methods struggle to establish correlations between transaction addresses, cash flows, and physical users. Additionally, the limited number of labels for il
Externí odkaz:
https://doaj.org/article/ee350231b29f44b1a4911c0ea74a1df8
Autor:
Zonghui Li, Yongsheng Dong
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Convolutional neural networks-based object detection techniques have achieved positive performances. However, due to the limitations of local receptive field, some existing object detection methods cannot effectively capture global informati
Externí odkaz:
https://doaj.org/article/7df70e54e3884e089c6bea4b7bbeca59
Autor:
Roberts, Ian, author
Publikováno v:
The Place of Case in Grammar, 2024.
Externí odkaz:
https://doi.org/10.1093/oso/9780198865926.003.0007
Publikováno v:
International Journal of Productivity and Performance Management, 2023, Vol. 73, Issue 7, pp. 2209-2234.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJPPM-11-2022-0564
Autor:
Matei-Ioan Stan, Oliver Rhodes
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Spiking neural networks (SNNs) take inspiration from the brain to enable energy-efficient computations. Since the advent of Transformers, SNNs have struggled to compete with artificial networks on modern sequential tasks, as they inherit lim
Externí odkaz:
https://doaj.org/article/81c5c153a8ff46858450268762727bf0
Autor:
Xiaolei Ren, Qiping Wei
Publikováno v:
Software, Vol 3, Iss 3, Pp 345-367 (2024)
The advent of blockchain technology has revolutionized various sectors by providing transparency, immutability, and automation. Central to this revolution are smart contracts, which facilitate trustless and automated transactions across diverse domai
Externí odkaz:
https://doaj.org/article/cc790777d9844a039c81de78d9f2ec95
