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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 28 1 Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal Seung-Hyun Kim; Su-Min Jeon; Eui Chul Lee In: Sensors; Volume 22; Issue 8; Pages: 3070 (2022) BASE Show details 2 Automatic Classification Framework of Tongue Feature Based on Convolutional Neural Networks Jiawei Li; Zhidong Zhang; Xiaolong Zhu; Yunlong Zhao; Yuhang Ma; Junbin Zang; Bo Li; Xiyuan Cao; Chenyang Xue In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022) BASE Show details 3 Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model Kanchon Kanti Podder; Muhammad E. H. Chowdhury; Anas M. Tahir; Zaid Bin Mahbub; Amith Khandakar; Md Shafayet Hossain; Muhammad Abdul Kadir In: Sensors; Volume 22; Issue 2; Pages: 574 (2022) BASE Show details 4 TASE: Task-Aware Speech Enhancement for Wake-Up Word Detection in Voice Assistants Guillermo Cámbara; Fernando López; David Bonet; Pablo Gómez; Carlos Segura; Mireia Farrús; Jordi Luque In: Applied Sciences; Volume 12; Issue 4; Pages: 1974 (2022) BASE Show details 5 Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ... Doan, Coraline. - : Université d'Ottawa / University of Ottawa, 2021 BASE Show details 6 Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images Guo-Shiang Lin; Jia-Cheng Tu; Jen-Yung Lin In: Applied Sciences ; Volume 11 ; Issue 20 (2021) BASE Show details 7 Artificial Intelligence in Capsule Endoscopy: A Practical Guide to Its Past and Future Challenges Sang Hoon Kim; Yun Jeong Lim In: Diagnostics ; Volume 11 ; Issue 9 (2021) BASE Show details 8 A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost Aya Ismail; Marwa Elpeltagy; Mervat S. Zaki... In: Sensors ; Volume 21 ; Issue 16 (2021) BASE Show details 9 Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique Fuad Al Abir; Md. Al Siam; Abu Sayeed; Md. Al Mehedi Hasan; Jungpil Shin In: Sensors; Volume 21; Issue 24; Pages: 8407 (2021) BASE Show details 10 Cardiovascular Disease Recognition Based on Heartbeat Segmentation and Selection Process Mehrez Boulares; Reem Alotaibi; Amal AlMansour... In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 20 (2021) BASE Show details 11 Robust 3D Face Reconstruction Using One/Two Facial Images Ola Lium; Yong Bin Kwon; Antonios Danelakis... In: Journal of Imaging ; Volume 7 ; Issue 9 (2021) BASE Show details 12 Dynamic gesture classification of American Sign Language using deep learning Vaghasiya, Devina. - : Laurentian University of Sudbury, 2021 Abstract: American Sign Language (ASL) is a visual method of communication, utilized primarily by the hearing-impaired people. ASL is a sign language with 5 fundamental criterions: state of the hand, location (place of articulation), movement, palm orientation, and facial expressions. Since it is the most well-known gesture-based communication (sign language) of the world, it is essential to address dynamic sign gesture recognition for American Sign Language. To address the static sign language recognition in American Sign language a lot of studies have been done and researchers have claimed approximately 99% accuracy in static sign language recognition. There are very few studies currently available for dynamic gesture recognition in ASL. In this study, a subset of American Sign Language dataset was used, namely World-Level American Sign Language (WLASL) which has originally more than 2000 classes for gesturebased classification of American Sign Language from which we have chosen 100 classes. A combination of VGG16-LSTM, VGG19-LSTM, ResNet101-LSTM, Inception-LSTM and Inception3D based Convolutional Neural Networks (CNN) models were used for extracting spatial and temporal features respectively and applied them on the processed and extracted classes of videos from WLASL dataset. We found our model Inception3D outperformed the Visual Geometry Group-Long Short-Term Memory (VGG-LSTM) architectures, and ResNet101-LSTM models. These models have been compared based on model evaluation metric accuracy, thereby providing suitable insights on model selections. ; Master of Science (MSc) in Computational Sciences Keyword: American sign gestures; convolutional neural network; deep learning; long short-term memory (LSTM URL: https://zone.biblio.laurentian.ca/handle/10219/3843 BASE Hide details 13 Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach Doan, Coraline. - : Université d'Ottawa / University of Ottawa, 2021 BASE Show details 14 СПОСОБ ПОЛУЧЕНИЯ ИНФОРМАЦИИ ОБ ОБЪЕКТЕ НА ОСНОВЕ АНАЛИЗА ЕГО ИЗОБРАЖЕНИЙ ... : THE CHOICE OF THE METHOD OF OBTAINING INFORMATION ABOUT THE OBJECT BASED ON THE ANALYSIS OF ITS IMAGES ... Локтев, Даниил Алексеевич; Локтев, Алексей Алексеевич. - : Институт проблем управления им. В. А. Трапезникова РАН, 2020 BASE Show details 15 A Deep Neural Network-Based Model for Named Entity Recognition for Hindi Language Sharma, Richa; Agarwal, Basant; Khan, Mohammad S.... In: ETSU Faculty Works (2020) BASE Show details 16 Automatic Language Identification Using Speech Rhythm Features for Multi-Lingual Speech Recognition Hwamin Kim; Jeong-Sik Park In: Applied Sciences ; Volume 10 ; Issue 7 (2020) BASE Show details 17 An Improved Approach for Text Sentiment Classification Based on a Deep Neural Network via a Sentiment Attention Mechanism Li; Liu; Zhang In: Future Internet ; Volume 11 ; Issue 4 (2019) BASE Show details 18 Tooth-Marked Tongue Recognition Using Gradient-Weighted Class Activation Maps Yue Sun; Songmin Dai; Jide Li... In: Future Internet ; Volume 11 ; Issue 2 (2019) BASE Show details 19 An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM Rahman; Siddiqui In: Symmetry ; Volume 11 ; Issue 10 (2019) BASE Show details 20 Identification Technology of Grid Monitoring Alarm Event Based on Natural Language Processing and Deep Learning in China Bai; Sun; Zang... In: Energies ; Volume 12 ; Issue 17 (2019) BASE Show details Page: 1 2

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