Results 121 to 130 of about 2,611,781 (277)
Unsupervised learning of hierarchical representations with convolutional deep belief networks [PDF]
Honglak Lee+3 more
openalex +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Sequential Deep Learning for Human Action Recognition [PDF]
Moez Baccouche+4 more
openalex +1 more source
Atomic Size Misfit for Electrocatalytic Small Molecule Activation
This review explores the application and mechanisms of atomic size misfit in catalysis for small molecule activation, focusing on how structural defects and electronic properties can effectively lower the energy barriers of chemical bonds in molecules like H2O, CO2, and N2.
Ping Hong+3 more
wiley +1 more source
The Effect of General Relevance Instructions on Shallow and Deeper Learning and Reading Time
Matthew T. McCrudden+2 more
openalex +2 more sources
This work addresses the challenge of current–voltage asymmetry in scalable laminated semitransparent organic photovoltaics (OPVs) for indoor applications. Vertical stratification of materials is shown to create an energy barrier, leading to performance differences under different illumination directions.
Gulzada Beket+15 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone+11 more
wiley +1 more source
Graphic Design Education: A Revised Assessment Approach to Encourage Deep Learning
Grant Ellmers, Marius Foley, Sue Bennett
openalex +2 more sources
Restricted Deep Belief Networks for Multi-view Learning [PDF]
Yoonseop Kang, Seungjin Choi
openalex +1 more source
Defects in Inorganic Mechanoluminescent Phosphors: Insights and Impacts
Mechanoluminescence is attracting more attention recently, and defect dominates mechanoluminescence performances. Investigating how defects work in the mechanoluminescence process is crucial for elucidating its complex luminescence mechanism. This review aims to emphasize the fundamental role of defects in mechanoluminescence, which offers an ...
Wenhao Li+3 more
wiley +1 more source