|
|
|
|
|
Luis Campos M., Loreto López G.
Pág. Pág. 24 - 33
El interés por las dimensiones simbólicas de la vida urbana, incorpora un conjunto de interrogantes vinculadas a las nociones de cultura e identidad, que han estado relativamente ausentes en la reflexión sobre la ciudad. Para abordar los problemas relati...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyang Xiang, Kexiang Wang, Jie Lu, Zixuan Wang, Huilin Jin, Ranping Li, Mengrui Shi, Liuxuan Wu, Fuyu Yan and Ran Jiang
In this work, the implementation of HfZrO layers for the tunneling, charge trapping, and blocking mechanisms within the device offer benefits in terms of programmability and data retention. This configuration has resulted in a memory device that can achi...
ver más
|
|
|
|
|
|
|
|
|
|
|
Roman Golman, Robert Giterman and Adam Teman
Embedded memories occupy an increasingly dominant part of the area and power budgets of modern systems-on-chips (SoCs). Multi-ported embedded memories, commonly used by media SoCs and graphical processing units, occupy even more area and consume higher p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shaahin Angizi, Naima Ahmed Fahmi, Deniz Najafi, Wei Zhang and Deliang Fan
In this work, we present an efficient Processing in MRAM-Accelerated De Bruijn Graph-based DNA Assembly platform, named PANDA, based on an optimized and hardware-friendly genome assembly algorithm. PANDA is able to assemble large-scale DNA sequence datas...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
ver más
|
|
|
|
|
|
|
|
|
|
|
Cheolhyeon Kwon and Donghyun Kang
Recently, the technologies of on-device AI have been accelerated with the development of new hardware and software platforms. Therefore, many researchers and engineers focus on how to enable ML technologies on mobile devices with limited hardware resourc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shuting Xu and Jinming Xu
The construction of deep foundation pits in subway stations can affect the settlement of existing buildings adjacent to the pits to varying degrees. In this paper, the Long Short-Term Memory neural network prediction model of building settlement caused b...
ver más
|
|
|
|
|
|
|
|
|
|
|
Haohan Shi, Xiyu Shi and Safak Dogan
Audio inpainting plays an important role in addressing incomplete, damaged, or missing audio signals, contributing to improved quality of service and overall user experience in multimedia communications over the Internet and mobile networks. This paper p...
ver más
|
|
|
|
|
|
|
|
|
|
|
Omar Serghini, Hayat Semlali, Asmaa Maali, Abdelilah Ghammaz and Salvatore Serrano
Spectrum sensing is an essential function of cognitive radio technology that can enable the reuse of available radio resources by so-called secondary users without creating harmful interference with licensed users. The application of machine learning tec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer...
ver más
|
|
|
|
|
|