Results 61 to 70 of about 10,369,018 (353)
BMC Medical Informatics and Decision Making, 2019 Following publication of the original ...
Muhammad Naseer Bajwa +6 more
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Generalizable and efficient cross‐domain person re‐identification model using deep metric learning
IET Computer Vision, 2023 Most of the successful person re‐ID models conduct supervised training and need a large number of training data. These models fail to generalise well on unseen unlabelled testing sets.
Saba Sadat Faghih Imani +2 more
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Using Deep Learning for Image-Based Plant Disease Detection [PDF]
Frontiers in Plant Science, 2016 Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure.
S. Mohanty, David P. Hughes, M. Salathé
semanticscholar +1 more source
Encyclopedia with Semantic Computing and Robotic Intelligence, 2017 Seminar about deep learning and ...
Arjona, Gorchs, , Hernández-Ramírez
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A Deep Learning Enabled Multi-Class Plant Disease Detection Model Based on Computer Vision
AI, 2021 In this paper, a deep learning enabled object detection model for multi-class plant disease has been proposed based on a state-of-the-art computer vision algorithm. While most existing models are limited to disease detection on a large scale, the current
Arunabha M. Roy, Jayabrata Bhaduri
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Geometric Deep Learning: Going beyond Euclidean data [PDF]
IEEE Signal Processing Magazine, 2016 Many scientific fields study data with an underlying structure that is non-Euclidean. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory networks in ...
M. Bronstein +4 more
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Inequality in breast cancer: Global statistics from 2022 to 2050
BreastThis 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
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BMC 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
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UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery
International Journal of Applied Earth Observations and Geoinformation, 2021 This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented
Nosheen Abid +6 more
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Performance Evaluation of Deep Learning Tools in Docker Containers
, 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
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