Robust deep learning–based protein sequence design using ProteinMPNN
Although deep learning has revolutionized protein structure prediction, almost all
experimentally characterized de novo protein designs have been generated using …
experimentally characterized de novo protein designs have been generated using …
Deep semantic segmentation for visual understanding on construction sites
Visual understanding on construction sites by deep learning, such as semantic
segmentation, is hardly mentioned in the literature due to the severe lack of labeled data …
segmentation, is hardly mentioned in the literature due to the severe lack of labeled data …
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently
JU Rahman, F Makhdoom, D Lu - arXiv preprint arXiv:2304.09759, 2023 - arxiv.org
Many industrial and real life problems exhibit highly nonlinear periodic behaviors and the
conventional methods may fall short of finding their analytical or closed form solutions. Such …
conventional methods may fall short of finding their analytical or closed form solutions. Such …
Under-resourced or overloaded? Rethinking working memory deficits in developmental language disorder.
SD Jones, G Westermann - Psychological Review, 2022 - psycnet.apa.org
Dominant theoretical accounts of developmental language disorder (DLD) commonly invoke
working memory capacity limitations. In the current report, we present an alternative view …
working memory capacity limitations. In the current report, we present an alternative view …
Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks
We aimed to develop a novel deep-learning based method for automatic coronary artery
calcium (CAC) quantification in low-dose ungated computed tomography attenuation …
calcium (CAC) quantification in low-dose ungated computed tomography attenuation …
A maturational frequency discrimination deficit may explain developmental language disorder.
Auditory perceptual deficits are widely observed among children with developmental
language disorder (DLD). Yet, the nature of these deficits and the extent to which they …
language disorder (DLD). Yet, the nature of these deficits and the extent to which they …
Application of Artificial Intelligence in the Classification of Microscopical Starch Images for Drug Formulation
M Ajala, B Oko, D Oba-Fidelis, J Iyasele… - arXiv preprint arXiv …, 2023 - arxiv.org
Starches are important energy sources found in plants with many uses in the pharmaceutical
industry such as binders, disintegrants, bulking agents in drugs and thus require very careful …
industry such as binders, disintegrants, bulking agents in drugs and thus require very careful …
CASR: A Corpus for Albanian Speech Recognition
This research paper introduces a Corpus for Albanian Speech Recognition (CASR), aims for
training and evaluating Automatic Speech Recognition models for Albanian language. The …
training and evaluating Automatic Speech Recognition models for Albanian language. The …
[PDF][PDF] CPEN 400D: Deep Learning
R Liao - lrjconan.github.io
CPEN 400D: Deep Learning Page 1 CPEN 400D: Deep Learning Lecture 7: Graph Neural
Networks Renjie Liao University of British Columbia Winter, Term 2, 2022 1 Page 2 Outline • …
Networks Renjie Liao University of British Columbia Winter, Term 2, 2022 1 Page 2 Outline • …
[PDF][PDF] Can Non-Heart Diseases like Diabetes and Sleep Apnea be Detected by an ECG?
R Isea - opastpublishers.com
An electrocardiogram (ECG) is frequently used to identify heart problems, but it can also
identify apnea, diabetes, and other conditions that are not heart-related. The study uses …
identify apnea, diabetes, and other conditions that are not heart-related. The study uses …