Results 61 to 70 of about 6,131,436 (285)
Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application
IEEE Access, 2021 In the last decade, researchers, practitioners and companies struggled for devising mechanisms to detect cyber-security threats. Among others, those efforts originated rule-based, signature-based or supervised Machine Learning (ML) algorithms that were ...
Tommaso Zoppi +2 more
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Convolutional Sparse Kernel Network for Unsupervised Medical Image Analysis
, 2019 The availability of large-scale annotated image datasets and recent advances in supervised deep learning methods enable the end-to-end derivation of representative image features that can impact a variety of image analysis problems.
Ahn, Euijoon +4 more
core +1 more source
Advanced Healthcare Materials, EarlyView.Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales +11 more
wiley +1 more source
Isolation Defines Identity: Functional Consequences of Extracellular Vesicle Purification Strategies
Advanced Healthcare Materials, EarlyView.Four extracellular vesicle purification strategies are compared using ovarian‐cancer ascites and ES‐2 cell supernatants. A novel workflow links purification to function by combining particle‐normalized proteomics with matched cell‐free and cell‐based assays.
Christian Preußer +10 more
wiley +1 more source
Advanced Materials, EarlyView.AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
An Unsupervised Learning Approach to Condition Assessment on a Wound-Rotor Induction Generator
Energies, 2021 Accurate online diagnosis of incipient faults and condition assessment on generators is especially challenging to automate through supervised learning techniques, because of data imbalance.
Elsie Swana, Wesley Doorsamy
doaj +1 more source
Text Mining of CVD Synthesis Recipes for 2D Materials
Advanced Materials, EarlyView.A lightweight, multi‐stage natural language processing framework utilizes fine‐tuned BERT models to extract chemical vapor deposition synthesis knowledge from diverse 2D materials literature. The domain‐adapted workflow integrates classification, named entity recognition, and extractive question answering to systematically retrieve categorical and ...
Ang‐Yu Lu +11 more
wiley +1 more source
A Deep Embedded Clustering Algorithm for the Binning of Metagenomic Sequences
IEEE Access, 2022 The study of metagenomic sequences brings a deep understanding of microbial communities. One of the crucial steps in metagenomic projects is to classify sequences into different organisms, named the binning problem.
Huynh Quang Bao +2 more
doaj +1 more source
Accuracy of Latent-Variable Estimation in Bayesian Semi-Supervised Learning [PDF]
, 2015 Hierarchical probabilistic models, such as Gaussian mixture models, are widely used for unsupervised learning tasks. These models consist of observable and latent variables, which represent the observable data and the underlying data-generation process ...
Yamazaki, Keisuke
core