Accident vehicle types classification: a comparative study between different deep learning models

Vehicle Detection Using Alex Net and Faster R-CNN Deep Learning Models: A Comparative Study

A Deep Comparative Study between Different Neural Networks Classifiers

In Machine learning and artificial intelligence have seemingly never been as typical and relevant to real-time applications as they are in these days autonomous, big data era. The fortune of machine learning and artificial intelligence depends on the coexistence of three important conditions: powerful computing environments, rich and/or large data, and efficient learning techniques (algorithms)...

Vehicle classification framework: a comparative study

Video surveillance has significant application prospects such as security, law enforcement, and traffic monitoring. Visual traffic surveillance using computer vision techniques can be non-invasive, cost effective, and automated. Detecting and recognizing the objects in a video is an important part of many video surveillance systems which can help in tracking of the detected objects and gatherin...

a comparative study of the relationship between self-, peer-, and teacher-assessments in productive skills

تمایل به ارزیابی جایگزین و تعویض آن با آزمون سنتی مداد و کاغذ در سالهای اخیر افزایش یافته است. اکثر زبان آموزان در کلاس های زبان از نمره نهایی که استاد تعیین میکند ناراضی اند. این تحقیق جهت بررسی ارزیابی در کلاس های زبان انگلیسی به هدف رضایتمندی زبان آموزان از نمره هایشان انجام گرفته است که در آن نمرات ارائه شده توسط سه گروه ارزیاب (ارزیابی خود دانشجو، همسالان واستاد) در مهارت های تولید (تکل...

A Hybrid Optimization Algorithm for Learning Deep Models

Deep learning is one of the subsets of machine learning that is widely used in Artificial Intelligence (AI) field such as natural language processing and machine vision. The learning algorithms require optimization in multiple aspects. Generally, model-based inferences need to solve an optimized problem. In deep learning, the most important problem that can be solved by optimization is neural n...