Deep Learning

Deep Learning: The Impact on Future eLearning

Deep Learning: The Impact on Future eLearning

Abstract eLearning as technology becomes more affordable in higher education but having a big barrier in the cost of developing its resources. Deep learning using artificial intelligence continues to become …

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Robotic Specialization in Autonomous RoboticStructural Assembly

Robotic Specialization in Autonomous Robotic Structural Assembly

Abstract Robotic in-space assembly of large space structures is a long-term NASA goal to reduce launch costs and enable larger-scale missions. Recently, researchers have proposed using discrete lattice building blocks …

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Deep clustering of protein folding simulations

Deep clustering of protein folding simulations

Abstract We examine the problem of clustering bio-molecular simulations using deep learning techniques. Since bio-molecular simulation datasets are inherently high dimensional, it is often necessary to build low dimensional representations …

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Recognizing Art Style Automatically in painting with deep learning

Recognizing Art Style Automatically in Painting with Deep Learning

Abstract The artistic style (or artistic movement) of a painting is a rich descriptor that captures both visual and historical information about the painting. Correctly identifying the artistic style of …

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The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine

The Role of Artificial Intelligence and Machine Learning Techniques: Race for COVID-19 Vaccine

Abstract Context: In the healthcare system, Artificial Intelligence (AI) is emerging as a productive tool. There are instances where AI has done marvels in the diagnosis of various health conditions …

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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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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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AI Inspired Intelligent ResourceManagement in Future Wireless Network

AI Inspired Intelligent Resource Management in Future Wireless Network

Abstract In order to improve network performance, including reducing computation delay, transmission delay and bandwidth consumption, edge computing and caching technologies are introduced to the fifth-generation wireless network (5G). However, …

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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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Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health RecordWith Deep Networks

Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health Record With Deep Networks

Abstract Health indexes are useful tools for monitoring the health condition of a population and can be used to guide the healthcare policy of governments. However, most health indexes are …

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