Phase-Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries. [PDF]
Adv Mater, 2021 Development of phase–property diagrams and materials libraries via automated synthesis and characterization techniques integrated with machine learning is presented. The multicomponent phase–property diagram (materials library) closes the loop and is used to determine suitable candidates for a desired property, or to narrow specific regions to initiate
Velasco L +5 more
europepmc +2 more sources
Machine Learning for Securing SDN based 5G Network
, 2021 The fifth-generation (5G) network supports many systems such as reliable communication in potential applications that require maximum security. Advancement in Software-Defined Networking (SDN) is growing with the emerging network architectures targeted
Yazdani, Javad +2 more
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'What is this corpus about?': Using topic modelling to explore a specialised corpus [PDF]
, 2017 This paper introduces topic modelling, a machine learning technique that automatically identifies 'topics' in a given corpus. The paper illustrates its use in the exploration of a corpus of academic English.
Murakami, Akira; id_orcid +10 more
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MACHINE LEARNING-ENHANCED TEXT ANALYTICS FOR EFFICIENT AUDIT DOCUMENTATION REVIEW [PDF]
Audit documentation review represents a critical yet time-intensive component of financial auditing processes, requiring extensive manual analysis of textual evidence, supporting documents, and work papers.
Stone, Julia +2 more
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Predictive modeling for ubiquitin proteins through advanced machine learning technique [PDF]
Ubiquitination is an essential post-translational modification mechanism involving the ubiquitin protein's bonding to a substrate protein. It is crucial in a variety of physiological activities including cell survival and differentiation, and innate and ...
Rho, Seungmin +3 more
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Machine learning workflow for edge computed arrhythmia detection in exploration class missions [PDF]
Deep-space missions require preventative care methods based on predictive models for identifying in-space pathologies. Deploying such models requires flexible edge computing, which Open Neural Network Exchange (ONNX) formats enable by optimizing ...
Patrick M. Archambault +7 more
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Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities [PDF]
Mechanical bearings are common elements in a wide range of applications, such as wind turbines and manufacturing. Therefore, bearing prognostics are crucial to preventing catastrophic failures and machinery breakdowns.
Morsi, Iman +4 more
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Orchestrating machine learning models in a swarm architecture for IoT inline malware detection [PDF]
The Internet of Things (IoT) represents a vast network of interconnected devices engaged in continuous data exchange, real-time information processing, and autonomous decision-making through the Internet.
Ayyub, Kashif +6 more
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Hyperspectral imaging with machine learning for non-destructive classification of Astragalus membranaceus var. mongholicus, Astragalus membranaceus, and similar seeds. [PDF]
Front Plant Sci, 2022 Xu Y +8 more
europepmc +1 more source
Voltage Imaging with Engineered Proton-Pumping Rhodopsins: Insights from the Proton Transfer Pathway. [PDF]
ACS Phys Chem Au, 2023 Meng X +4 more
europepmc +1 more source