Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userبرمجة 2
916
0 56
0
(
0
)
Authors
حسام فوال( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
يهدف هذا المقرر إلى التعريف بالبرمجة غرضية التوجه و تقاناتها الأساسية, و مساعدة الطالب للوصول به إلى كتابة خوارزميات بلغة غرضية التوجه, و سنستخدم لغة C++ كأداة لهذا الغرض.
No English abstract
References used
.
rate research
Read More
Application Of Object Oriented Programing OOP concept and the C++.
Pascal programming language to power system simulation has been
explored. An efficient platform for power system simulation applications
has been proposed. By emulationg a physical
power lap, a generic power
network container has been build, a module. One load flow applications a
ac load flow have been discussed. It is found that the OOP based Pascal
load flow programs are as efficient as their non – OOP counterparts.
الفصل الأول : تعددية النياسب
الفصل الثاني : برمجة التطبيقات الشبكية زبون-مخدم
الفصل الثالث : خدمات الويب
We present a series of programming assignments, adaptable to a range of experience levels from advanced undergraduate to PhD, to teach students design and implementation of modern NLP systems. These assignments build from the ground up and emphasize
full-stack understanding of machine learning models: initially, students implement inference and gradient computation by hand, then use PyTorch to build nearly state-of-the-art neural networks using current best practices. Topics are chosen to cover a wide range of modeling and inference techniques that one might encounter, ranging from linear models suitable for industry applications to state-of-the-art deep learning models used in NLP research. The assignments are customizable, with constrained options to guide less experienced students or open-ended options giving advanced students freedom to explore. All of them can be deployed in a fully autogradable fashion, and have collectively been tested on over 300 students across several semesters.
In this paper we present a deep learning code completion model for the R language. We introduce several techniques to utilize language modeling based architecture in the code completion task. With these techniques, the model requires low resources, b
ut still achieves high quality. We also present an evaluation dataset for the R language completion task. Our dataset contains multiple autocompletion usage contexts that provides robust validation results. The dataset is publicly available.
This study shows the application of network planning tool for planning, scheduling
and control of maintenance operations. Taking into account that the maintenance process is
a project as it consists of a set of actions that consume specific resourc
es and have a data
specified achievement. Thus you can create a represents the maintenance process activities.
This diagram helps to maintenance process scheduling, additionally, it allows activity time
maintenance. For this purpose, we used the project. Evaluating and Review technique,
because it respond to order delivery vacillation.
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
