Advances in Intelligent Systems and Computing - Deep Learning Applications
Latest Publications

TOTAL DOCUMENTS

(FIVE YEARS 9)

H-INDEX

(FIVE YEARS 1)

Published By Springer Singapore

9789811518157, 9789811518164

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Trends in Deep Learning Applications

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_1 ◽

2020 ◽

pp. 1-7

Author(s):

M. Arif Wani ◽

Mehmed Kantardzic ◽

Moamar Sayed-Mouchaweh

Keyword(s):

Deep Learning

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Deep Active Learning for Image Regression

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_7 ◽

2020 ◽

pp. 113-135

Author(s):

Hiranmayi Ranganathan ◽

Hemanth Venkateswara ◽

Shayok Chakraborty ◽

Sethuraman Panchanathan

Keyword(s):

Active Learning

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Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_3 ◽

2020 ◽

pp. 39-52 ◽

Cited By ~ 2

Author(s):

Alexandr A. Kalinin ◽

Vladimir I. Iglovikov ◽

Alexander Rakhlin ◽

Alexey A. Shvets

Keyword(s):

Neural Networks ◽

Image Segmentation ◽

Medical Image ◽

Deep Neural Networks ◽

Medical Image Segmentation

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Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_5 ◽

2020 ◽

pp. 75-93

Author(s):

Franklin Abodo ◽

Robert Rittmuller ◽

Brian Sumner ◽

Andrew Berthaume

Keyword(s):

Computer Vision ◽

Deep Learning ◽

Work Zones

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Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_9 ◽

2020 ◽

pp. 155-176

Author(s):

Christian Poss ◽

Thomas Irrenhauser ◽

Marco Prueglmeier ◽

Daniel Goehring ◽

Vahid Salehi ◽

...

Keyword(s):

Deep Learning ◽

Learning Algorithms

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Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_4 ◽

2020 ◽

pp. 53-73

Author(s):

Shuqiang Wang ◽

Hongfei Wang ◽

Albert C. Cheung ◽

Yanyan Shen ◽

Min Gan

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Convolutional Network

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Quasi-Newton Optimization Methods for Deep Learning Applications

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_2 ◽

2020 ◽

pp. 9-38 ◽

Cited By ~ 1

Author(s):

Jacob Rafati ◽

Roummel F. Marica

Keyword(s):

Deep Learning ◽

Optimization Methods ◽

Quasi Newton

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Deep Learning Based Hazard Label Object Detection for Lithium-ion Batteries Using Synthetic and Real Data

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_8 ◽

2020 ◽

pp. 137-154

Author(s):

Anneliese Schweigert ◽

Christian Blesing ◽

Christoph M. Friedrich

Keyword(s):

Deep Learning ◽

Object Detection ◽

Lithium Ion Batteries ◽

Lithium Ion ◽

Real Data ◽

Label Object

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Action Recognition in Videos Using Multi-stream Convolutional Neural Networks

Advances in Intelligent Systems and Computing - Deep Learning Applications ◽

10.1007/978-981-15-1816-4_6 ◽

2020 ◽

pp. 95-111

Author(s):

Helena de Almeida Maia ◽

Darwin Ttito Concha ◽

Helio Pedrini ◽

Hemerson Tacon ◽

André de Souza Brito ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Action Recognition

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Advances in Intelligent Systems and Computing - Deep Learning ApplicationsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

Trends in Deep Learning Applications

Deep Active Learning for Image Regression

Medical Image Segmentation Using Deep Neural Networks with Pre-trained Encoders

Detecting Work Zones in SHRP2 NDS Videos Using Deep Learning Based Computer Vision

Enabling Robust and Autonomous Materialhandling in Logistics Through Applied Deep Learning Algorithms

Ensemble of 3D Densely Connected Convolutional Network for Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease

Quasi-Newton Optimization Methods for Deep Learning Applications

Deep Learning Based Hazard Label Object Detection for Lithium-ion Batteries Using Synthetic and Real Data

Action Recognition in Videos Using Multi-stream Convolutional Neural Networks

Advances in Intelligent Systems and Computing - Deep Learning Applications
Latest Publications