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الصفحة الرئيسية
المساعدة والأسئلة الشائعة
English
العربية
الصفحة الرئيسية
الوحدات البحثية
الملفات الشخصية
نتاج البحث
المشاريع
المعدات
أنشطة
مجموعات البيانات
الصحافة / وسائل الإعلام
الجوائز
التأثيرات
الدورات التدريبية
البحث حسب الخبرة أو الاسم أو الانتماء
Design of Low-Power and High Performance Embedded Vision SoC
Mohamed, Osman A
(PI)
Electrical and Computer Engineering
المشروع
:
بحوث المنح الداخلية
معاينة
بصمة
بصمة
استكشف موضوعات البحث التي تناولها هذا المشروع. يتم إنشاء هذه الملصقات بناءً على الجوائز/المنح الأساسية. فهما يشكلان معًا بصمة فريدة.
فرز حسب
الوزن
أبجديًا
Keyphrases
Algorithm Design
33%
Appearance-based Methods
33%
Computational Power
33%
Computer Vision
33%
Computer Vision Algorithms
33%
Consumption Estimation
33%
Deep Learning
33%
Deep Learning Algorithm
33%
Deep Learning Hardware
33%
Deep Learning Methods
33%
Design Methodology
33%
Detection Accuracy
33%
Embedded Computing Platforms
33%
Embedded Vision
100%
Embedded Vision Systems
33%
Energy Consumption
33%
Energy Efficient
33%
Fast Execution
33%
Fixed Function
33%
FPGA Architecture
33%
Graphics Processing Unit
100%
Hardware Acceleration
33%
Hardware Design
66%
Hardware Efficiency
33%
High Parallelism
33%
High Performance
100%
High-level Synthesis
33%
Jetson TX2
33%
Joint Deep Learning
33%
Low Power
100%
Low Power Consumption
33%
Method Performance
33%
Multicore Processors
33%
NVIDIA Jetson
33%
Object Descriptor
33%
Object Detection
33%
Object Detector
33%
Optimal Resource Allocation
33%
Parallelization
33%
Performance Estimation
33%
Performance Requirements
33%
Portable System
33%
Power Consumption
33%
Power Performance
100%
Programmability
33%
Programmable Logic
66%
Real-time Performance
33%
Reconfiguration
33%
Resource Performance
33%
Robust Performance
33%
Specialized Hardware
33%
Synthesis Design
33%
Unit-based
33%
Vision Processing
33%
Xilinx
33%
Computer Science
Application Specific Integrated Circuit
33%
Building-Blocks
33%
Computational Power
33%
Computer Vision
33%
Computer Vision Algorithms
33%
Computing Platform
33%
Conventional Method
33%
Data Type
33%
Deep Learning
66%
Deep Learning Technique
33%
Detection Accuracy
33%
Embedded Computing
33%
Energy Consumption
33%
Energy Efficient
33%
Estimation Performance
33%
Graphics Processing Unit
100%
hardware acceleration
33%
Hardware Design
66%
Hardware Resource
33%
High Level Synthesis
33%
Low Power Consumption
33%
Multicore Processor
33%
Object Detection
33%
Object Detector
33%
Parallelism
33%
Parallelization
33%
Paramount Importance
33%
Performance Requirement
33%
Power Consumption
33%
Programmability
33%
Programmable Logic
66%
Resource Consumption
33%
Resource Utilisation
33%
Vision Systems
33%
INIS
acceleration
40%
accelerators
20%
accuracy
40%
algorithms
60%
applications
20%
architecture
40%
calculation methods
20%
comparative evaluations
20%
computers
40%
data
20%
design
100%
detection
40%
devices
20%
energy
20%
energy consumption
20%
flexibility
20%
gain
20%
implementation
20%
learning
60%
levels
20%
performance
100%
power
100%
processing
80%
proposals
40%
resources
40%
synthesis
20%
units
60%
vision
100%