Resource-Constrained Machine Learning for ADAS: A Systematic Review

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A THEORETICALLY CORRECT RESOURCE USAGE VISUALIZATION FOR THE RESOURCE-CONSTRAINED PROJECT SCHEDULING PROBLEM

The cumulative resource constraints of the resource-constrained project scheduling problem (RCPSP) do not treat the resource demands as geometric rectangles, that is, activities are not necessarily assigned to the same resource units over their processing times. In spite of this fact, most papers on resource-constrained project scheduling mainly in the motivation phase use a strip packing of re...

متن کامل

A Lua Virtual Machine for Resource- Constrained Embedded Systems

Embedded systems and high-level languages usually belong to different worlds. It is not easy to fit a language runtime environment to a strongly constrained embedded platform. This porting mostly causes a loss of functionalities. High-level languages need large support from lower-level hardware or software so they can work. This paper describes our work to port the Lua Virtual Machine (LVM) to ...

متن کامل

Community based reproductive health interventions for young married couples in resource-constrained settings: a systematic review

BACKGROUND Most pregnancies among adolescent girls and young women aged 15-24 years occur in low- and middle-income countries (LMICs), and do so within marriage. The mortality rates and pregnancy-related morbidities are significantly higher among the women of younger age group in many South Asian and Sub-Saharan African countries. This paper presents a review of the available evidence on the ef...

متن کامل

A Hybrid Machine Learning Method for Intrusion Detection

Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...

متن کامل

Machine Learning for Sequential Data: A Review

Statistical learning problems in many fields involve sequential data. This paper formalizes the principal learning tasks and describes the methods that have been developed within the machine learning research community for addressing these problems. These methods include sliding window methods, recurrent sliding windows, hidden Markov models, conditional random fields, and graph transformer net...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEEE Access

سال: 2020

ISSN: 2169-3536

DOI: 10.1109/access.2020.2976513