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.

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

A comparative study of machine learning and deep learning algorithms to classify cancer types based on microarray gene expression data

ABSTRACT Cancer classification is a topic of major interest in medicine since it allows accurate and efficient diagnosis and facilitates a successful outcome in medical treatments. Previous studies have classified […]

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Big Data in Education: Perception of Training Advisors on Its Use in the Educational System

Big Data in Education: Perception of Training Advisors on Its Use in the Educational System

Abstract Big Data has revolutionized decision making in many fields, including education. The incorporation of information and communication technologies into education enables us to gather information about the teaching and

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A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Abstract Industry 4.0 concepts and technologies ensure the ongoing development of microand macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial intelligence is

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Human microbiome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Human micro-biome aging clocks based on deep learning and tandem of permutation feature importance and accumulated local effects

Abstract The human gut micro-biome is a complex ecosystem that both affects and is affected by its host status. Previous analyses of gut microflora revealed associations between specific microbes and

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Developing customer relationship management (CRM) processes using standard frameworks and MCDM techniques

Developing customer relationship management (CRM) processes using standard frameworks and MCDM techniques

Abstract Organizations have found that a functional approach to business destroys flexibility and agility by gaining experience over time. The main weakness of Task-based organizations is that they can hardly

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Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact

Artificial intelligence in medicine and healthcare: a review and classification of current and near-future applications and their ethical and social Impact

Abstract This paper provides an overview of the current and near-future applications of Artificial Intelligence (AI) in Medicine and Health Care and presents a classification according to their ethical and

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