Articles with "learning techniques" as a keyword



A Comprehensive Framework for Parkinson's Disease Detection Using Spiral Drawings and Advanced Machine Learning Techniques

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Published in 2025 at "Brain and Behavior"

DOI: 10.1002/brb3.70770

Abstract: This study aims to create a reliable and scalable framework for detecting Parkinson's disease (PD) using spiral drawings. It integrates advanced machine learning techniques to improve diagnostic accuracy and practical application in clinical settings. read more here.

Keywords: using spiral; learning techniques; machine learning; spiral drawings ... See more keywords
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On the use of machine learning techniques for the mechanical characterization of soft biological tissues.

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Published in 2018 at "International journal for numerical methods in biomedical engineering"

DOI: 10.1002/cnm.3121

Abstract: Motivated by the search for new strategies for fitting a material model, a new approach is explored in the present work. The use of numerical and complex algorithms based on machine learning techniques such as… read more here.

Keywords: machine learning; characterization soft; soft biological; biological tissues ... See more keywords

Quantifier Guided Aggregation for the Veracity Assessment of Online Reviews

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Published in 2017 at "International Journal of Intelligent Systems"

DOI: 10.1002/int.21844

Abstract: The Social Web is characterized by a massive diffusion of unfiltered content, directly generated by users via the spread of different social media platforms. In this context, a challenging issue is to assess the veracity… read more here.

Keywords: aggregation; machine learning; quantifier guided; online reviews ... See more keywords

A survey of deep learning techniques for autonomous driving

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Published in 2020 at "Journal of Field Robotics"

DOI: 10.1002/rob.21918

Abstract: The last decade witnessed increasingly rapid progress in self‐driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence (AI). The objective of this paper is to survey the… read more here.

Keywords: learning techniques; survey deep; autonomous driving; deep learning ... See more keywords
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Machine Learning to Predict Binding Affinity.

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Published in 2019 at "Methods in molecular biology"

DOI: 10.1007/978-1-4939-9752-7_16

Abstract: Recent progress in the development of scientific libraries with machine-learning techniques paved the way for the implementation of integrated computational tools to predict ligand-binding affinity. The prediction of binding affinity uses the atomic coordinates of… read more here.

Keywords: machine; machine learning; learning techniques; binding affinity ... See more keywords

Supervised machine learning techniques and genetic optimization for occupational diseases risk prediction

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Published in 2020 at "Soft Computing"

DOI: 10.1007/s00500-019-04200-2

Abstract: Workers healthcare gained a lot of attention recently as many countries are increasingly concerning about welfare. This paper faces the problem of predicting occupational disease risks by means of computational intelligence and pattern recognition techniques.… read more here.

Keywords: machine; genetic optimization; techniques genetic; learning techniques ... See more keywords

Structural analysis and detection of android botnets using machine learning techniques

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Published in 2017 at "International Journal of Information Security"

DOI: 10.1007/s10207-017-0363-3

Abstract: Nowadays, smartphone devices are an integral part of our lives since they enable us to access a large variety of services from personal to banking. The worldwide popularity and adoption of smartphone devices continue to… read more here.

Keywords: machine; detection; machine learning; learning techniques ... See more keywords

Genetic biomarkers and machine learning techniques for predicting diabetes: systematic review

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Published in 2024 at "Artificial Intelligence Review"

DOI: 10.1007/s10462-024-11020-w

Abstract: Diabetes mellitus is a long-term metabolic condition marked by high blood sugar levels due to issues with insulin production, insulin effectiveness, or a combination of both. It stands as one of the fastest-growing diseases worldwide,… read more here.

Keywords: biomarkers machine; genetic biomarkers; review; learning techniques ... See more keywords

Visualizing correlations among Parkinson biomedical data through information retrieval and machine learning techniques

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Published in 2021 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-021-10506-x

Abstract: In the last few years, the integration of researches in Computer Science and medical fields has made available to the scientific community an enormous amount of data, stored in databases. In this paper, we analyze… read more here.

Keywords: biomedical data; retrieval machine; learning techniques; machine learning ... See more keywords

Machine learning techniques in breast cancer preventive diagnosis: a review

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Published in 2024 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-024-18775-y

Abstract: Breast cancer (BC) is known as the most prevalent form of cancer among women. Recent research has demonstrated the potential of Machine Learning (ML) techniques in predicting the five-year BC risk using personal health data.… read more here.

Keywords: cancer; breast cancer; learning techniques; machine learning ... See more keywords
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Ground-level Ozone Prediction Using Machine Learning Techniques: A Case Study in Amman, Jordan

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Published in 2020 at "International Journal of Automation and Computing"

DOI: 10.1007/s11633-020-1233-4

Abstract: Air pollution is one of the most serious hazards to humans' health nowadays, it is an invisible killer that takes many human lives every year. There are many pollutants existing in the atmosphere today, ozone… read more here.

Keywords: machine learning; ground level; jordan; learning techniques ... See more keywords