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Microprocessors and Microsystems

Resumen/Descripción – provisto por la editorial en inglés
Microprocessors and Microsystems: Embedded Hardware Design (MICPRO) is a journal covering all design and architectural aspects related to embedded systems hardware. It includes different embedded system hardware platforms ranging from custom hardware via reconfigurable systems and application specific processors to general purpose embedded processors. Special emphasis is put on novel complex embedded architectures, such as systems on chip (SoC), systems on a programmable/reconfigurable chip (SoPC) and multi-processors on a chip (MPoC) as well as their communication methods, such as network-on-chip (NoC).

Design automation of such systems including methodologies, techniques and tools for their design as well as novel designs of hardware components fall within the scope of this journal. Novel applications that use embedded systems are also central in this journal. While software is not a part of this journal hardware/software co-design methods that consider interplay between software and hardware components with emphasis on hardware are also relevant here.
Palabras clave – provistas por la editorial

No disponibles.

Disponibilidad
Institución detectada Período Navegá Descargá Solicitá
No detectada desde ene. 1979 / hasta dic. 1994 ScienceDirect

Información

Tipo de recurso:

revistas

ISSN impreso

0141-9331

ISSN electrónico

1872-9436

Editor responsable

Elsevier

País de edición

Países Bajos

Fecha de publicación

Tabla de contenidos

Face detection based on open Cl design and image processing technology

Qiong Liu; Hao Peng; Jifeng Chen; Shun Yang

Palabras clave: Computer Networks and Communications; Hardware and Architecture; Software; Artificial Intelligence.

Pp. 103745

Area and power efficient post-quantum cryptosystem for IoT resource-constrained devices

Karim ShahbaziORCID; Seok-Bum KoORCID

Palabras clave: Artificial Intelligence; Computer Networks and Communications; Hardware and Architecture; Software.

Pp. 104280

Detection of stress, anxiety and depression (SAD) in video surveillance using ResNet-101

Astha SinghORCID; Divya Kumar

Palabras clave: Artificial Intelligence; Computer Networks and Communications; Hardware and Architecture; Software.

Pp. 104681