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Fuzzy logic supervisor – A surgical skills assessment system using multi-class detection of laparoscopic box-trainer instruments.

• Authors : Fathabadi, Fatemeh Rashidi¹ (AUTHOR) ; Grantner, Janos L.¹ (AUTHOR); Shebrain, Saad A.² (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2022, Vol. 43 Issue 4, p4741-4756. 16p.

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Nighttime vehicle detection based on direction attention network and bayes corner localization.

• Authors : Huang, Danyang^1,2 (AUTHOR); Zhou, Zhiheng^1,2 (AUTHOR) ; Deng, Ming^1,2 (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2021, Vol. 41 Issue 1, p783-801. 19p.

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Additive DenseNet: Dense connections based on simple addition operations.

• Authors : Yu, Dawei¹ (AUTHOR); Yang, Jie² (AUTHOR) ; Zhang, Yun² (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2021, Vol. 40 Issue 3, p5015-5025. 11p.

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Traffic sign detection and recognition based on multi-size feature extraction and enhanced feature fusion module.

• Authors : Zhang, Yongliang; Lu, Yang; Zhu, Wuqiang

Subjects: DEEP learning; TRAFFIC monitoring; TRAFFIC signs & signals

• Source: Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 2, p2993-3004, 12p

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Editorial: Making an impact.

• Authors : Klawonn, Frank^1,2 (AUTHOR)

• Source: Integrated Computer-Aided Engineering. 2022, Vol. 29 Issue 1, p1-2. 2p.

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Transferable Deep Metric Learning for Clustering

• Authors : Alami, Simo; Kaddah, Rim; Read, Jesse ...

Subjects: Clustering; Transfer Learning; Metric Learning

• Source: ISSN: 1088-467X ; Intelligent Data Analysis ; https://hal.science/hal-03988934 ; Intelligent Data Analysis, 2023.

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Online signature verification using deep learning based aggregated convolutional feature representation.

• Authors : Leghari, Mehwish; Memon, Shahzad; Dhomeja, Lachhman Das

Subjects: DEEP learning; CONVOLUTIONAL neural networks; DATA augmentation

• Source: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 2, p2005-2013, 9p

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Application of deep learning and cloud data platform in college teaching quality evaluation.

• Authors : Fan, Peng; Kolivand, Hoshang; Balas, Valentina E.

Subjects: EFFECTIVE teaching; CLOUD computing; COLLEGE teaching

• Source: Journal of Intelligent & Fuzzy Systems; 2020, Vol. 39 Issue 4, p5547-5558, 12p

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Transaction processing and value evaluation of carbon emission rights based on wavelet transform image and deep learning.

• Authors : Long, Yin; Han, Chaoliang; Kolivand, Hoshang

Subjects: DEEP learning; CARBON offsetting; WAVELET transformsCHINA

• Source: Journal of Intelligent & Fuzzy Systems; 2020, Vol. 39 Issue 4, p5821-5832, 12p

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Identifying localization attacks in wireless sensor networks using deep learning.

• Authors : Wang, Hua^1,2,3,4; Wen, Yingyou^1,2,3,4; Zhao, Dazhe^1,5

• Source: Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 2, p1339-1351. 13p.

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Sum-Product Network structure learning by efficient product nodes discovery.

• Authors : Di Mauro, Nicola¹; Esposito, Floriana¹; Ventola, Fabrizio Giuseppe¹

• Source: Intelligenza Artificiale. 2018, Vol. 12 Issue 2, p143-159. 17p.

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A Simple and Efficient Tensor Calculus for Machine Learning.

• Authors : Laue, Sören; Mitterreiter, Matthias; Giesen, Joachim

Subjects: CALCULUS of tensors; MACHINE learning; AUTOMATIC differentiation

• Source: Fundamenta Informaticae; 2020, Vol. 177 Issue 2, p157-179, 23p

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Solving arithmetic word problems: A deep learning based approach.

• Authors : Mandal, Sourav; Sekh, Arif Ahmed; Naskar, Sudip Kumar

Subjects: PROBLEM-based learning; INTELLIGENT tutoring systems; RECURRENT neural networks

• Source: Journal of Intelligent & Fuzzy Systems; 2020, Vol. 39 Issue 2, p2521-2531, 11p

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Deep text classification of Instagram data using word embeddings and weak supervision1.

• Authors : Hammar, Kim; Jaradat, Shatha; Dokoohaki, Nima

Subjects: PERFORMANCE technology; DATA mining; CLASSIFICATION

• Source: Web Intelligence (2405-6456); 2020, Vol. 18 Issue 1, p53-67, 15p, 1 Color Photograph, 4 Diagrams, 3 Charts, 5 Graphs

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An integrated low-cost system for object detection in underwater environments

• Authors : Foresti, G. L.; Scagnetto, I.

Subjects: underwater ROV; Computational Theory and Mathematics; Artificial Intelligence

• Source: Integrated Computer-Aided Engineering. 29:123-139

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Segmentation of acetowhite region in uterine cervical image based on deep learning

• Authors : Hua Dong; Tong Liang; Gengyou Peng

Subjects: Fuzzy clustering; Jaccard index; Biomedical Engineering

• Source: Technology and Health Care. 30:469-482

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Classification of histopathological images of breast cancer using an improved convolutional neural network model

• Authors : Chen Guan; Yunfeng Yang

Subjects: Radiation; Contextual image classification; Computer science

• Source: Journal of X-Ray Science and Technology. 30:33-44

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Enabling deep learning for large scale question answering in Italian.

• Authors : Croce, Danilo; Zelenanska, Alexandra; Basili, Roberto

Subjects: QUESTION answering systems; MACHINE translating; DEEP learningWIKIPEDIA

• Source: Intelligenza Artificiale; 2019, Vol. 13 Issue 1, p49-61, 13p

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Transaction processing and value evaluation of carbon emission rights based on wavelet transform image and deep learning

• Authors : Chaoliang Han; Yin Long

Subjects: Statistics and Probability; 021103 operations research; business.industry

• Source: Journal of Intelligent & Fuzzy Systems. 39:5821-5832

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An ensemble deep learning method with optimized weights for drone-based water rescue and surveillance

• Authors : Bogusław Cyganek; Mateusz Knapik; Jan Ga̧sienica-Józkowy

Subjects: Computer science; business.industry; Deep learning

• Source: Integrated Computer-Aided Engineering. 28:221-235

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The application of deep learning in college students’ sports cognition and health concept

• Authors : Xiaopeng Chi; Yue Yu; Pin Wang

Subjects: Statistics and Probability; business.industry; Deep learning

• Source: Journal of Intelligent & Fuzzy Systems. :1-13

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Echo state network and variational autoencoder for efficient one-class learning on dynamical systems.

• Authors : Cabrera, Diego; Sancho, Fernando; Cerrada, Mariela

Subjects: DYNAMICAL systems; DEEP learning; ROTATING machinery

• Source: Journal of Intelligent & Fuzzy Systems; 2018, Vol. 34 Issue 6, p3799-3809, 11p

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Computer aid screening of COVID-19 using X-ray and CT scan images: An inner comparison

• Authors : Komma Anitha; Prabira Kumar Sethy; M. R. Khan

Subjects: Computer science; Feature extraction; 030218 nuclear medicine & medical imaging

• Source: Journal of X-Ray Science and Technology. 29:197-210

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Multi-stage deep learning perception system for mobile robots

• Authors : Deysy Galeana-Perez; Edgar Macias-Garcia; Eduardo Bayro-Corrochano

Subjects: 0209 industrial biotechnology; Computer science; business.industry

• Source: Integrated Computer-Aided Engineering. 28:191-205

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Automatic image detection of multi-type surface defects on wind turbine blades based on cascade deep learning network

• Authors : Juchao Zhao; Shuangxin Wang; Dingli Yu

Subjects: Surface (mathematics); Turbine blade; business.industry

• Source: Intelligent Data Analysis. 25:463-482

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Dual residual convolutional neural network (DRCNN) for low-dose CT imaging

• Authors : Lei Li; Yizhong Wang; Li Tong

Subjects: Radiation; business.industry; Computer science

• Source: Journal of X-Ray Science and Technology. 29:91-109

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Detecting breast cancer using artificial intelligence: Convolutional neural network

• Authors : Avishek Choudhury; Sunanda Perumalla

Subjects: Computer science; Process (engineering); Biomedical Engineering

• Source: Technology and Health Care. 29:33-43

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Application of deep learning and image feature retrieval in E-commerce transaction and customer management

• Authors : Lei Ning

Subjects: Statistics and Probability; Information retrieval; business.industry

• Source: Journal of Intelligent & Fuzzy Systems. 39:5953-5964

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Exploring communication protocols and centralized critics in multi-agent deep learning

• Authors : David Simões; Luís Paulo Reis; Nuno Lau

Subjects: Multimedia; Computer science; business.industry

• Source: Integrated Computer-Aided Engineering. 27:333-351

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Deep learning-based video surveillance system managed by low cost hardware and panoramic cameras

• Authors : Ezequiel López-Rubio; Enrique Domínguez; Esteban J. Palomo

Subjects: business.industry; Computer science; Deep learning

• Source: Integrated Computer-Aided Engineering. 27:373-387

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Analysis of task degree of English learning based on deep learning framework and image target recognition

• Authors : Jing Yu

Subjects: Statistics and Probability; business.industry; Computer science

• Source: Journal of Intelligent & Fuzzy Systems. 39:1903-1914

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Multimedia English teaching analysis based on deep learning speech enhancement algorithm and robust expression positioning

• Authors : Kelei Hao

Subjects: Statistics and Probability; Speech enhancement algorithm; Artificial Intelligence

• Source: Journal of Intelligent & Fuzzy Systems. 39:1779-1791

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A novel image recognition algorithm of target identification for unmanned surface vehicles based on deep learning

• Authors : Tao Lu; Miguel Angel Sotelo; Shuo Xie

Subjects: Statistics and Probability; Surface (mathematics); Identification (information)

• Source: Journal of Intelligent & Fuzzy Systems. 37:4437-4447

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Deep Learning Optimization Tasks and Metaheuristic Methods

• Authors : Rafał Biedrzycki; Pawel Zawistowski; Bartlomiej Twardowski

Subjects: Algebra and Number Theory; Computational Theory and Mathematics; Computer science

• Source: Fundamenta Informaticae. 168:185-218

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Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning

• Authors : Baihua Zhang; He Ma; Shouliang Qi

Subjects: Scheme (programming language); Lung Neoplasms; Databases, Factual

• Source: Journal of X-Ray Science and Technology. 27:615-629

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A neural network based deep learning approach for efficient segmentation of brain tumor medical image data

• Authors : A. Veeramuthu; K. Ashok Kumar; S. Meenakshi

Subjects: Statistics and Probability; Artificial neural network; Computer science

• Source: Journal of Intelligent & Fuzzy Systems. 36:4227-4234

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Multi-object tracking with discriminant correlation filter based deep learning tracker

• Authors : Mohammed El Bagdouri; Cindy Cappelle; Yassine Ruichek

Subjects: Computer science; business.industry; Deep learning

• Source: Integrated Computer-Aided Engineering. 26:273-284

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Computer chess: From idea to DeepMind1

• Authors : van den Herik; H. Jaap

Subjects: History; Parallelism (rhetoric); Knowledge representation and reasoning

• Source: ICGA Journal. 40:160-176

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Attentive models in vision: Computing saliency maps in the deep learning era

• Authors : Simone Calderara; Rita Cucchiara; Andrea Palazzi

Subjects: Closed captioning; Vision; Computer science

• Source: AI*IA 2017 Advances in Artificial Intelligence ISBN: 9783319701684AI*IA

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Study of long short-term memory in flow-based network intrusion detection system

• Authors : Shih Yin Ooi; Seong Oun Hwang; Syh-Yuan Tan

Subjects: Statistics and Probability; Network packet; Computer science

• Source: Journal of Intelligent & Fuzzy Systems. 35:5947-5957

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A scalable approach based on deep learning for big data time series forecasting

• Authors : A. Galicia; Francisco Martínez-Álvarez; José F. Torres

Subjects: business.industry; Computer science; Deep learning

• Source: Integrated Computer-Aided Engineering. 25:335-348

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Performance of deep learning in classifying malignant primary and metastatic brain tumors using different MRI sequences: A medical analysis study.

• Authors : Fauzi A; Study Program of Master in Biomedical Science, Faculty of Medicine, Universitas Brawijaya Malang, Malang, Indonesia.; Yueniwati Y

Subjects: Deep Learning* ; Brain Neoplasms*/Brain Neoplasms*/Brain Neoplasms*/diagnostic imaging; Humans

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2023; Vol. 31 (5), pp. 893-914.Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9000080 Publication Model: Print Cited Medium: Internet

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Deep text classification of Instagram data using word embeddings and weak supervision1.

• Authors : Hammar, Kim¹ (AUTHOR) ; Jaradat, Shatha¹ (AUTHOR) ; Dokoohaki, Nima¹ (AUTHOR)

• Source: Web Intelligence (2405-6456). 2020, Vol. 18 Issue 1, p53-67. 15p. 1 Color Photograph, 4 Diagrams, 3 Charts, 5 Graphs.

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UBNet: Deep learning-based approach for automatic X-ray image detection of pneumonia and COVID-19 patients.

• Authors : Widodo CS; Department of Physics, Faculty of Mathematics and Natural Sciences, Brawijaya University, Malang, East Java, Indonesia.; Naba A

Subjects: COVID-19* ; Deep Learning* ; Pneumonia, Viral*

• Source: Journal of X-ray science and technology [J Xray Sci Technol] 2022; Vol. 30 (1), pp. 57-71.Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9000080 Publication Model: Print Cited Medium: Internet

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Hybrid neural networks: An evolutionary approach with local search

• Authors : Eduardo Masato Iyoda; Fernando J. Von Zuben

Subjects: Artificial neural network; business.industry; Computer science

• Source: Integrated Computer-Aided Engineering. 9:57-72

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Deep text classification of Instagram data using word embeddings and weak supervision1.

• Authors : Hammar, Kim¹ (AUTHOR) ; Jaradat, Shatha¹ (AUTHOR) ; Dokoohaki, Nima¹ (AUTHOR)

Subjects: *PERFORMANCE technology; *DATA mining; *CLASSIFICATION

• Source: Web Intelligence (2405-6456). 2020, Vol. 18 Issue 1, p53-67. 15p. 1 Color Photograph, 4 Diagrams, 3 Charts, 5 Graphs.

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DAMGNN: Deep adaptive multi-channel graph neural networks.

• Authors : Li, Yuqiang¹ (AUTHOR); Chen, Wei¹ (AUTHOR) ; Liao, Jing¹ (AUTHOR)

• Source: Intelligent Data Analysis. 2022, Vol. 26 Issue 4, p873-891. 19p.

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Application of deep learning and cloud data platform in college teaching quality evaluation

• Authors : Peng Fan

Subjects: Statistics and Probability; Multimedia; Computer science

• Source: Journal of Intelligent & Fuzzy Systems. 39:5547-5558

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Facilitating deep learning through self-explanation in an open-ended domain

• Authors : Antonija Mitrovic; Amali Weerasinghe

Subjects: Knowledge management; business.industry; Computer science

• Source: International Journal of Knowledge-based and Intelligent Engineering Systems. 10:3-19

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A combined neural network mechanism for categorizing the normal and cancer cells.

• Authors : Antony Vigil, M.S.¹ (AUTHOR) ; Agarwal, Amit² (AUTHOR); Brahma Rao, K.B.V.³ (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 5, p7191-7203. 13p.

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