Results 121 to 130 of about 9,899,096 (370)
Deep learning research landscape & roadmap in a nutshell: past, present and future -- Towards deep cortical learning [PDF]
arXiv, 2019 The past, present and future of deep learning is presented in this work. Given this landscape & roadmap, we predict that deep cortical learning will be the convergence of deep learning & cortical learning which builds an artificial cortical column ultimately.
arxiv
FEBS Open Bio, EarlyView.The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik +3 more
wiley +1 more source
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery
, 2018 Deep learning tasks are often complicated and require a variety of components working together efficiently to perform well. Due to the often large scale of these tasks, there is a necessity to iterate quickly in order to attempt a variety of methods and ...
Gaston, Matthew E. +3 more
core +1 more source
IEEE AccessThis study examines the potential interconnection between genetic mutations frequently observed in various types of cancer and depression, aiming to elucidate shared genetic factors that may influence the etiology and treatment of both conditions ...
Fernando Patricio Carranco-Avila +7 more
doaj +1 more source
Scientific Reports, 2023 China implemented a strict lockdown policy to prevent the spread of COVID-19 in the worst-affected regions, including Wuhan and Shanghai. This study aims to investigate impact of these lockdowns on air quality index (AQI) using a deep learning framework.
Zixi Zhao +4 more
doaj +1 more source
A First Look at Deep Learning Apps on Smartphones [PDF]
arXiv, 2018 We are in the dawn of deep learning explosion for smartphones. To bridge the gap between research and practice, we present the first empirical study on 16,500 the most popular Android apps, demystifying how smartphone apps exploit deep learning in the wild.
arxiv
FEBS Open Bio, EarlyView.We obtained potential bacterial laccase‐like multicopper oxidase (LMCO) sequences through metagenomic sequencing. All sequences exhibited significant differences from known LMCOs in databases. To select the most promising candidates, we performed structure prediction and molecular docking using alphafold2, metal3d and rosetta.
Ting Cui +5 more
wiley +1 more source
Deep Learning for Forecasting Stock Returns in the Cross-Section
, 2018 Many studies have been undertaken by using machine learning techniques, including neural networks, to predict stock returns. Recently, a method known as deep learning, which achieves high performance mainly in image recognition and speech recognition ...
A Subrahmanyam +12 more
core +1 more source
Geometrization of deep networks for the interpretability of deep learning systems [PDF]
arXiv, 2019 How to understand deep learning systems remains an open problem. In this paper we propose that the answer may lie in the geometrization of deep networks. Geometrization is a bridge to connect physics, geometry, deep network and quantum computation and this may result in a new scheme to reveal the rule of the physical world. By comparing the geometry of
arxiv
The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise
FEBS Open Bio, EarlyView.Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji +3 more
wiley +1 more source