Results 41 to 50 of about 1,295,192 (344)

An ensemble machine learning approach for forecasting credit risk of agricultural SMEs’ investments in agriculture 4.0 through supply chain finance

open access: yesAnnals of Operations Research, 2021
Credit risk imposes itself as a significant barrier of agriculture 4.0 investments in the supply chain finance (SCF) especially for Small and Medium-sized Enterprises.
Amine Belhadi   +4 more
semanticscholar   +1 more source

Machine Learning Assisted Quality of Transmission Estimation and Planning with Reduced Margins

open access: green, 2020
In optical transport networks, the Quality of Transmission (QoT) using a physical layer model (PLM) is estimated before establishing new or reconfiguring established optical connections. Traditionally, high margins are added to account for the model’s inaccuracy and the uncertainty in the current and evolving physical layer conditions, targeting ...
K. Christodoulopoulos   +3 more
openalex   +4 more sources

A Maximum Margin Learning Machine Based on Entropy Concept and Kernel Density Estimation

open access: hybridJournal of Electronics & Information Technology, 2011
Zhongbao Liu, Shitong Wang
openalex   +2 more sources

Landslide susceptibility assessment using statistical and machine learning techniques: A case study in the upper reaches of the Minjiang River, southwestern China

open access: yesFrontiers in Earth Science, 2022
Landslides have frequently occurred in deeply incised valleys in the upper reaches of the Minjiang River. Long-term interactions between rock uplift and river undercutting developed widely distributed landslides in this catchment, which recorded the ...
S. Ling   +3 more
semanticscholar   +1 more source

MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis [PDF]

open access: yes, 2018
Interpretability has emerged as a crucial aspect of machine learning, aimed at providing insights into the working of complex neural networks. However, existing solutions vary vastly based on the nature of the interpretability task, with each use case ...
Anirudh, Rushil   +3 more
core   +2 more sources

Machine-Learning-Based Human Fall Detection Using Contact- and Noncontact-Based Sensors

open access: yesComputational Intelligence and Neuroscience, 2022
Automated human fall detection is an essential area of research due to its health implications in day-to-day life. Detecting and timely reporting of human falls may lead to saving human life.
Ayush Chandak, Niti Chaturvedi, Dhiraj
semanticscholar   +1 more source

Comparative Evaluation of Marginal Microleakage Between Bulk-Fill, Preheated Bulk-Fill, and Bulk-Fill Flowable Composite Resins Above and Below Cemento-Enamel Junction Using Micro-Computed Tomography: An In Vitro Study

open access: yesDental Hypotheses, 2022
Objective: The aim of this study was to compare the marginal microleakage between bulk-fill, preheated bulk-fill, and bulk-fill flowable composite resins above and below cemento-enamel junction (CEJ) using micro-computed tomography.
Nidhal Salim Dilian, Aláa Jawad Kadhim
doaj   +1 more source

Quantum adiabatic machine learning by zooming into a region of the energy surface [PDF]

open access: yes, 2020
Recent work has shown that quantum annealing for machine learning, referred to as QAML, can perform comparably to state-of-the-art machine learning methods with a specific application to Higgs boson classification.
Job, Joshua   +5 more
core  

Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data

open access: yesRemote Sensing, 2021
Fine dead fuel load is one of the most significant components of wildfires without which ignition would fail. Several studies have previously investigated 1-h fuel load using standard fuel parameters or site-specific fuel parameters estimated ad hoc for ...
Marina D’Este   +5 more
semanticscholar   +1 more source

Performance Analysis of different Machine Learning Models for Intrusion Detection Systems

open access: yesJournal of Engineering, 2022
In recent years, the world witnessed a rapid growth in attacks on the internet which resulted in deficiencies in networks performances. The growth was in both quantity and versatility of the attacks.
salim Qadir Mohammed   +1 more
doaj   +1 more source

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