Author name: Nasim Gazerani

Nasim Gazerani was born in 1983 in Arak. She holds a Master's degree in Software Engineering from UM University of Malaysia.

Comparative Analysis of Google Panda and Penguin SEO Algorithms on Blogs

Comparative Analysis of Google Panda and Penguin SEO Algorithms on Blogs

ABSTRACT In this Paper, a Comparative Study of the Google Search Engine Optimization Algorithms i.e. Panda and Penguin are done. Panda is a Content-Based Algorithm and the Penguin is the

Comparative Analysis of Google Panda and Penguin SEO Algorithms on Blogs Read More »

Socially Assistive Robots for Older Adults and People with Autism: An Overview

Socially Assistive Robots for Older Adults and People with Autism: An Overview

Abstract Over one billion people in the world suffer from some form of disability. Nevertheless, according to the World Health Organization, people with disabilities are particularly vulnerable to deficiencies in

Socially Assistive Robots for Older Adults and People with Autism: An Overview Read More »

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION

ABSTRACT MLaaS (ML-as-a-Service) offerings by cloud computing platforms are becoming increasingly popular. Hosting pre-trained machine learning models in the cloud enables elastic scalability as the demand grows. But providing low

COLLAGE INFERENCE: USING CODED REDUNDANCY FOR LOW VARIANCE DISTRIBUTED IMAGE CLASSIFICATION Read More »

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles

Abstract The intervention of AI technology and self-driving vehicles changed transportation systems. The current self-driving vehicles demand reliable and accurate information from various functional modules. One of the major modules

Speed Bump Segmentation an Application of Conditional Generative Adversarial Network for Self-driving Vehicles Read More »

"Person, Shoes, Tree. Is the Person Naked?" What People with Vision Impairments Want in Image Descriptions

“Person, Shoes, Tree. Is the Person Naked?” What People with Vision Impairments Want in Image Descriptions

ABSTRACT Access to digital images is important to people who are blind or have low vision (BLV). Many contemporary image description efforts do not take into account this population’s nuanced

“Person, Shoes, Tree. Is the Person Naked?” What People with Vision Impairments Want in Image Descriptions Read More »

AN EFFECTIVE IMPLEMENTATION OF WEB CRAWLING TECHNOLOGY TO RETRIEVE DATA FROM THE WORLD WIDE WEB (WWW)

AN EFFECTIVE IMPLEMENTATION OF WEB CRAWLING TECHNOLOGY TO RETRIEVE DATA FROM THE WORLD WIDE WEB (WWW)

Abstract Internet (or just the web) is enormous, well off, the best, easily accessible, and proper wellspring of data, and its clients are expanding quickly now daily. To rescue data

AN EFFECTIVE IMPLEMENTATION OF WEB CRAWLING TECHNOLOGY TO RETRIEVE DATA FROM THE WORLD WIDE WEB (WWW) Read More »

Research on real-time distance measurement of mobile eye tracking system based on neural network

Research on real-time distance measurement of mobile eye tracking system based on neural network

Abstract With the development and application of eye-tracking technology, mobile eye-tracking systems have become more widely used due to their safety and portability. We combine eye-tracking systems with real-time object

Research on real-time distance measurement of mobile eye tracking system based on neural network Read More »