Results 41 to 50 of about 2,817,119 (330)

Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning

open access: yesBMC Medical Informatics and Decision Making, 2019
Background With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology.
Muhammad Naseer Bajwa   +6 more
doaj   +1 more source

Deep learning in remote sensing: a review [PDF]

open access: yes, 2017
Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich   +6 more
core   +4 more sources

On "Deep Learning" Misconduct

open access: yesProceedings of the 3rd International Symposium on Automation, Information and Computing, 2022
Accepted by ISAIC 2022, 8 pages, three figures.
openaire   +2 more sources

Inequality in breast cancer: Global statistics from 2022 to 2050

open access: yesBreast
This study evaluates the global inequalities of breast cancer incidence and mortality from 2022 to 2050 with the latest GLOBOCAN estimates. It focuses on disparities across continents, age groups and Human Development Index (HDI) levels.
Ling Liao
doaj   +1 more source

Performance Evaluation of Deep Learning Tools in Docker Containers

open access: yes, 2017
With the success of deep learning techniques in a broad range of application domains, many deep learning software frameworks have been developed and are being updated frequently to adapt to new hardware features and software libraries, which bring a big ...
Chu, Xiaowen, Shi, Shaohuai, Xu, Pengfei
core   +1 more source

Deep learning? What deep learning?

open access: yesSouth African Journal of Higher Education, 2003
In teaching generally over the past twenty years, there has been a move towards teaching methods that encourage deep, rather than surface approaches to learning. The reason for this being that students, who adopt a deep approach to learning are considered to have learning outcomes of a better quality and desirability than those who adopt a surface ...
openaire   +3 more sources

Deep API learning

open access: yesProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016
Developers often wonder how to implement a certain functionality (e.g., how to parse XML files) using APIs. Obtaining an API usage sequence based on an API-related natural language query is very helpful in this regard. Given a query, existing approaches utilize information retrieval models to search for matching API sequences.
Xiaodong Gu   +3 more
openaire   +3 more sources

Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning

open access: yesBiomimetics
In recent years, unmanned aerial vehicle (UAV) technology has advanced significantly, enabling its widespread use in critical applications such as surveillance, search and rescue, and environmental monitoring.
Mingen Wang   +6 more
doaj   +1 more source

Deep Neural Networks for Form-Finding of Tensegrity Structures

open access: yesMathematics, 2022
Analytical paradigms have limited conventional form-finding methods of tensegrities; therefore, an innovative approach is urgently needed. This paper proposes a new form-finding method based on state-of-the-art deep learning techniques.
Seunghye Lee   +3 more
doaj   +1 more source

Quantum deep learning

open access: yesQuantum Information and Computation, 2016
In recent years, deep learning has had a profound impact on machine learning and artificial intelligence. At the same time, algorithms for quantum computers have been shown to efficiently solve some problems that are intractable on conventional, classical computers.
Ashish Kapoor   +2 more
openaire   +3 more sources

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