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1
Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022)
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2
ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features
In: Sensors; Volume 22; Issue 4; Pages: 1660 (2022)
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3
Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks
In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
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4
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
In: Applied Sciences; Volume 12; Issue 5; Pages: 2707 (2022)
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5
BenSignNet: Bengali Sign Language Alphabet Recognition Using Concatenated Segmentation and Convolutional Neural Network
In: Applied Sciences; Volume 12; Issue 8; Pages: 3933 (2022)
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6
Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model
In: Sensors; Volume 22; Issue 2; Pages: 574 (2022)
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7
TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants
In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022)
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8
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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9
Recognition of Grammatical Class of Imagined Words from EEG Signals using Convolutional Neural Network
Datta, S; Boulgouris, NV. - : Elsevier BV, 2021
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10
Deep Learning Methods for Human Behavior Recognition
Lu, Jia. - : Auckland University of Technology, 2021
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11
Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ...
Doan, Coraline. - : Université d'Ottawa / University of Ottawa, 2021
Abstract: Machine translation (MT) as a field of research has known significant advances in recent years, with the increased interest for neural machine translation (NMT). By combining deep learning with translation, researchers have been able to deliver systems that perform better than most, if not all, of their predecessors. While the general consensus regarding NMT is that it renders higher-quality translations that are overall more idiomatic, researchers recognize that NMT systems still struggle to deal with certain classic difficulties, and that their performance may vary depending on their architecture. In this project, we implement a challenge-set based approach to the evaluation of examples of three main NMT architectures: convolutional neural network-based systems (CNN), recurrent neural network-based (RNN) systems, and attention-based systems, trained on the same data set for English to French translation. The challenge set focuses on a selection of lexical and syntactic difficulties (e.g., ambiguities) ...
Keyword: attention-based neural machine translation; challenge set; convolutional neural network; machine translation evaluation; neural machine translation; recurrent neural network
URL: https://dx.doi.org/10.20381/ruor-27153
http://ruor.uottawa.ca/handle/10393/42936
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12
Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images
In: Applied Sciences ; Volume 11 ; Issue 20 (2021)
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13
Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges
In: Diagnostics ; Volume 11 ; Issue 9 (2021)
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14
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
In: Sensors ; Volume 21 ; Issue 16 (2021)
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15
Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique
In: Sensors; Volume 21; Issue 24; Pages: 8407 (2021)
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16
BengaliNet: A Low-Cost Novel Convolutional Neural Network for Bengali Handwritten Characters Recognition
In: Applied Sciences ; Volume 11 ; Issue 15 (2021)
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17
Cardiovascular Disease Recognition Based on Heartbeat Segmentation and Selection Process
In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 20 (2021)
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18
Sentence Compression Using BERT and Graph Convolutional Networks
In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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19
Robust 3D Face Reconstruction Using One/Two Facial Images
In: Journal of Imaging ; Volume 7 ; Issue 9 (2021)
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20
Dynamic gesture classification of American Sign Language using deep learning
Vaghasiya, Devina. - : Laurentian University of Sudbury, 2021
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