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
Predicting student academic achievement using stacked ensemble learning with deep neural networks and fuzzy-based feature selection. [PDF]
Gu J.
europepmc +1 more source
Unpacking Genomic Biomarkers for Programmed Cell Death Receptor-1 Immunotherapy Success in Non-Small Cell Lung Cancer Using Deep Neural Networks: Quantitative Study. [PDF]
Mubarak R +4 more
europepmc +1 more source
Efficient adaptation of deep neural networks for semantic segmentation in space applications. [PDF]
Olivi L +2 more
europepmc +1 more source
A hybrid AI model integrating BKA-VMD and deep neural networks for industrial power load prediction. [PDF]
Luo Y, Guo C, Pan M, Zhou H.
europepmc +1 more source
Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures. [PDF]
Lee S, Kim S, Hong S, Ha J.
europepmc +1 more source
Clinical and MRI markers for acute vs chronic temporomandibular disorders using a machine learning and deep neural networks. [PDF]
Lee YH +5 more
europepmc +1 more source
Real-time congestion control using cascaded LSTM deep neural networks for deregulated power markets.
Mohan GM +6 more
europepmc +1 more source

