MACHINE LEARNING TECHNOLOGY





Crop pests prediction method using regression and machine learning technology : Survey
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This paper describes current trends in the prediction of crop pests using machine learning technology . With the advent of data mining, the field of agriculture is also focused on it. Currently, various studies, domestic and overseas, are under progress using machine

Machine learning technology applied to production lines: Image recognition system
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The recent trend toward mass customization has increased the demand for multiproduct/ multivolume production and driven a need for autonomous production systems that can respond quickly to changes on production lines. Production facilities using cameras and

Analyzing and improving the quality of a historical news collection using language technology and statistical machine learning methods
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In this paper, we study how to analyze and improve the quality of a large historical newspaper collection. The National Library of Finland has digitized millions of newspaper pages. The quality of the outcome of the OCR process is limited especially with regard to the

approach to identifying the student gender towards information and communication technology awareness in european schools using machine learning
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Data mining and machine learning play an important role in both research estimation and learning . The present study is conducted to identify the gender of student according to their answers given in survey related to information and communication technology (ICT) in

Using machine learning to identify the highest wet gas producing mix of hydraulic fracture classes and technology improvements in the marcellus shale
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Abstract Our Petroleum Analytics Learning Machine (PALM) contains Machine Learning (ML) and other Big Data Analytics (BDA) that were used to automatically classify hydraulic fractures (fracs) and look for correlations between machine recognized Frac-Classes

Learning to Complement and Extend the Accuracy of UXO Discrimination Beyond the Best Reported Results of the Jefferson Proving Ground Technology
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The accurate discrimination of unexploded ordnance from geophysical signals is very difficult. Research has demonstrated that using a machine learning technique known as linear genetic programming in concert with human expertise can extend the accuracy of

Applications of machine learning : Cutting edge technology in HIV diagnosis, treatment and further research
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In the last few years there is a remarkable progress of research in machine learning . This field has gained an unprecedented popularity, several new areas have developed and some are gaining new momentum. Machine learning is useful in cases where algorithmic

Adaptive Assessment Based on Machine Learning Technology
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Educational assessment is the process of evaluation and documenting, usually in measurable terms, knowledge, skills, attitudes and beliefs. In the e- learning environment we need assessment which is, besides being valid and reliable, quick and automated. These last two properties could

Sleep prediction algorithm based on machine learning technology
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CONCLUSIONS⠏ The results suggest that morning activity (especially vigorous), and exposure to total and outside light during daytime are important to sleep quality. The algorithm made by 1D-CNN model predict sleep quality accurately, which is comparable to

A knowledge-based flight state evaluation approach using machine learning technology
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The predicted higher level of automation in the cockpit that is envisaged by SESAR and supported by additional realtime information and more complex decision support systems will reduce the situational awareness in case of failures or raise the monitoring workload. In

Machine learning and cognitive technology for intelligent wireless networks
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The ability to dynamically and efficiently allocate resources to meet the need of growing diversity in services and user behavior marks the future of wireless networks, giving rise to intelligent processing, which aims at enabling the system to perceive and assess the

Big Data, Machine Learning and the BlockChain Technology : An Overview
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The importance of big data in machine learning cannot be overemphasized in recent times. Through the evolution of big data, most scientific technologies that relied heavily on enormous data in solving complex issues in human lives gained grounds; machine learning

OLAP technology and machine learning as the tools for validation of the numerical models of convective clouds
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In the present work we use the technologies of machine learning and OLAP for more accurate forecasting of such phenomena as a thunderstorm, hail, heavy rain, using the numerical model of convective cloud. Three methods of machine learning : support vector

Modern Machine Learning Technology
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Abstract Artificial Intelligence (AI) and Machine Learning (ML) are showing tremendous potential in industrial applications ranging from internet, cloud, media, entertainment, medicine, biology, security, defense, to autonomous vehicles, driving and flying. The status

The Role of Metadata in Machine Learning for Technology Assisted Review
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Its the electronic equivalent of DNA, ballistics and fingerprint evidence, with a comparable power to exonerate and incriminate. Metadata sheds light on the context, authenticity, reliability and dissemination of electronic evidence, as well as providing clues to human behavior And

Solutions to Social Problems Leveraging Image Analysis technology Based on Machine Learning
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Increasing attention is being given to the application of machine learning such as deep learning to image analysis. Aiming to provide a solution to social issues in urban areas, we focused on traffic and security and developed systems for parking analysis (detecting the

An adaptive E-commerce application using web framework technology and machine learning
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In this paper, adaptivity and recommendation methods have been explored and implemented for an e-commerce web application of an online e-shop system, utilising Python web framewor technologies. The approach used to create such adaptivity methods is

A Commentary on Demand Forecasting Using Machine Learning Technology
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To date many tools and techniques have been developed to harness information and optimize them for effective forecasting and decision making. Despite the multiplicity of forecasting tools and techniques available, many forecast conducted today ends up in

Optimal development of location and technology independent machine learning photovoltaic performance predictive models
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Photovoltaic (PV) power prediction is important for monitoring the performance of PV plants. The scope of this work is to develop a methodology for deriving an optimized location and technology independent machine learning (ML) model for power prediction. The prediction

Application of Machine Learning Technology in Financial Market
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With the development of economy, people are paying more attention to the financial investment. The prediction of the Stock/Future prices could have significant influence on the financial market. But it is hard to predict the prices for they are time series, dynamic and non



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