Search Results - research algorithm

Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis by Vivianne Landry, Jessica Matschek, Roger Pang, Meghana Munipalle, Kenneth Tan, Jill Boruff, Nicole Y.K. Li-Jessen

“…Breathing and coughing were the most common biomarkers, with artificial neural networks being the most common analysis technique. Future research on audio biomarkers should focus on testing their validity in clinically diverse populations and resolving algorithmic bias. …”
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Machine Learning-Based Detection of Archeological Sites Using Satellite and Meteorological Data: A Case Study of Funnel Beaker Culture Tombs in Poland by Krystian Kozioł, Natalia Borowiec, Urszula Marmol, Mateusz Rzeszutek, Celso Augusto Guimarães Santos, Jerzy Czerniec

“…The machine learning models, including logistic regression and decision tree-based algorithms, demonstrated strong potential for predicting site visibility. …”
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New Approach to the Uncertainty Assessment of Acoustic Effects in the Environment by Wojciech BATKO, Paweł PAWLIK

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Recording artist career comparison through audio content analysis by Nick Collins

“…Statistical measures of variation over time, and the diversity of their recorded output, are used to answer research questions on their studio career and the originality of their work. …”
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Etude Comparative Entre Les Librairies De Reconnaissance Vocale by Hamza Frihia, Halima Bahi

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Walsh Transform-based Image Compression for Less Memory Usage and High Speed Transfer by Aqeel Majeed Breesam, Ali M. Zalzala, Esraa Najjar

“…The rising use of digital imaging applications has recently boosted the demand for different image compressing algorithms. Picture compression is used to reduce unnecessary information from an image. …”
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Classification of diabetic retinopathy stages based on neural networks by M. M. Lukashevich, Y. I. Golub

“…The development of methods and algorithms for the detection and classification of this disease, the automation of this process are the actual and costeffective goals.The article focuses on the classification of the stages of diabetic retinopathy using neural networks based on human retinal images. …”
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Quantum machine learning: A comprehensive review of integrating AI with quantum computing for computational advancements by Raghavendra M Devadas, Sowmya T

“…This review gives an overview of QML, from advancements in quantum-enhanced classical ML to native quantum algorithms and hybrid quantum-classical frameworks. …”
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Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT by Sabina Szymoniak, Łukasz Kuczyński

“…The article is cross-sectional and can be a starting point for further research on intelligent acoustic monitoring in systems based on AI and IoT.…”
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Entropy-Based Correlation Analysis for Privacy Risk Assessment in IoT Identity Ecosystem by Kai-Chih Chang, Suzanne Barber

“…As the Internet of Things (IoT) expands, robust tools for assessing privacy risk are increasingly critical. This research introduces a quantitative framework for evaluating IoT privacy risks, centered on two algorithmically derived scores: the Personalized Privacy Assistant (PPA) score and the PrivacyCheck score, both developed by the Center for Identity at The University of Texas. …”
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Two ways to one goal: new strategy of antiviral therapy for chronic hepatitis C by S. N. Batskikh

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DPMine Graphical Language for Automation of Experiments in Process Mining by S. A. Shershakov

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Method for Vocal Fold Paralysis Detection Based on Perceptual and Acoustic Assessment by Rafał HALAMA, Krzysztof SZKLANNY, Danijel KORŽINEK

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Review on the Innovation of Investment Banks’ Credit Risk Assessment System in a Highly Volatile Market by Wei Yakun

“…., macroeconomic indicators, market sentiment, transactional behavior) and nonlinear algorithms to enhance predictive accuracy. Case analysis, including JPMorgan Chase’s post-2008 reforms, validates the system’s effectiveness in mitigating risks during extreme market fluctuations. …”
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A Rational Cluster Strategy: Manoeuvring between Market and Government Failures by Evgeniy Kutsenko

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Transfer Learning for Induction Motor Health Monitoring: A Brief Review by Prashant Kumar

“…These sophisticated deep learning algorithms have been widely used for induction motor health monitoring due to their autonomous feature extraction abilities and end-to-end learning capabilities. …”
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Progressive collapse analysis on multicore computers using nonlinear dynamic approach by Sergiy Fialko

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USE OF GEOINFORMATION TECHNOLOGIES IN AN GEOECOLOGICAL EVALUATION FOR SUSTAINABLE DEVELOPMENT OF NATURAL AND TECHNOGENIC COMPLEXES by N. O. Guseynova

“…The developed techniques and algorithms of creation of a database and thematic digital vector maps and use of geoinformation technologies in ecological researches can be recommended as basic at similar researches both in territories of the cities of the Republic of Dagestan, and after the corresponding adjustment and completion when studying natural landscapes…”
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The ethics of data interoperability: Mapping problems and strategies in biomedical data and beyond by Asher Brandon Caplan, Colin Koopman

“…Data interoperability is often regarded as necessary for carrying out tasks between different organizations and suborganizations as well as for ensuring secondary use of data for research purposes. However, interoperability poses a number of ethical problems whose contours can prove especially challenging in comparison to how ethical harms take hold at other moments of the data life cycle (such as algorithmic processing or results dissemination). …”
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O Liniowych Zagadnieniach Dyskretnej Teorii Sprężystości. I. by S. Konieczny, F. Pietras, C. Woźniak

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