Coupling annealed silver nanoparticles with a porous silicon Bragg mirror SERS substrate and machine learning for rapid non-invasive disease diagnosis

S Han, C Chen, C Chen, L Wu, X Wu, C Lu… - Analytica Chimica …, 2023 - Elsevier
Ag 2 O–Ag-porous silicon Bragg mirror (PSB) composite SERS substrates were successfully
synthesized by using a combination of electrochemical and thermochemical methods. Test …

Exploring the landscape of automatic text summarization: a comprehensive survey

B Khan, ZA Shah, M Usman, I Khan, B Niazi - IEEE Access, 2023 - ieeexplore.ieee.org
The discipline of Automatic Text Summarization (ATS), which is expanding quickly, intends
to automatically create summaries of enormous amounts of text so that readers can save …

CNN with machine learning approaches using ExtraTreesClassifier and MRMR feature selection techniques to detect liver diseases on cloud

MG Lanjewar, JS Parab, AY Shaikh, M Sequeira - Cluster Computing, 2023 - Springer
Liver disease is a significant global burden on health, with about a few hundred million
people suffering from chronic liver disease (CLD), with approximately 2 million deaths each …

An empirical study on machine learning algorithms for heart disease prediction

TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart
disease dataset classification. However, literature shows that the quality of heart disease …

[PDF][PDF] Machine learning-based models for magnetic resonance imaging (mri)-based brain tumor classification

AA Asiri, B Khan, F Muhammad… - Intell. Autom. Soft …, 2023 - cdn.techscience.cn
In the medical profession, recent technological advancements play an essential role in the
early detection and categorization of many diseases that cause mortality. The technique …

Machine learning algorithms for big data mining processing: A review

L Djafri, Y Gafour - International Conference on Artificial Intelligence and …, 2021 - Springer
Big data mining is an excellent source of information and knowledge from systems to end
users. However, managing such amounts of data or knowledge requires automation, which …

Raman spectroscopy combined with machine learning algorithms for rapid detection Primary Sjögren's syndrome associated with interstitial lung disease

X Wu, C Chen, X Chen, C Luo, X Lv, Y Shi… - Photodiagnosis and …, 2022 - Elsevier
Background Interstitial lung disease (ILD) is a major complication of Primary Sjögren's
syndrome (pSS) patients. It is one of the main factors leading to death. The aim of this study …

Enhancement of Pre-Trained Deep Learning Models to Improve Brain Tumor Classification

Z Ullah, A Odeh, I Khattak, MA Hasan - 2023 - digitallibrary.aau.ac.ae
The early detection of brain tumors is crucial due to their highly dangerous nature and the
potential for life-threatening consequences if left undiagnosed. Brain tumors significantly …

An optimal modified faster region cnn model for diagnosis of liver diseases from ultrasound images

V Antony Asir Daniel, J Jeha - IETE Journal of Research, 2023 - Taylor & Francis
In recent years, the rate of mortality and morbidity is increased due to uncontrolled
conditions of liver diseases. Liver disorders are mainly caused because of inhalation of toxic …

[PDF][PDF] Abmj: An ensemble model for risk prediction in software requirements

MM Otoom - Ijcsns, 2022 - researchgate.net
Due to the rising complexity of software projects, it is quite difficult to predict the risk in
software requirements which is the most profound and essential activity in SDLC. It may lead …