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Face Biometric Spoof Detection Method Using a Remote Photoplethysmography Signal
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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
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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
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In: Micromachines; Volume 13; Issue 4; Pages: 501 (2022)
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| 4 |
Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
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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
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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
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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
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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
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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
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| 10 |
Deep Learning Methods for Human Behavior Recognition
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Lu, Jia. - : Auckland University of Technology, 2021
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| 11 |
Comparing Encoder-Decoder Architectures for Neural Machine Translation: A Challenge Set Approach ...
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| 12 |
Keyword Detection Based on RetinaNet and Transfer Learning for Personal Information Protection in Document Images
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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
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In: Diagnostics ; Volume 11 ; Issue 9 (2021)
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| 14 |
A New Deep Learning-Based Methodology for Video Deepfake Detection Using XGBoost
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In: Sensors ; Volume 21 ; Issue 16 (2021)
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Abstract:
Currently, face-swapping deepfake techniques are widely spread, generating a significant number of highly realistic fake videos that threaten the privacy of people and countries. Due to their devastating impacts on the world, distinguishing between real and deepfake videos has become a fundamental issue. This paper presents a new deepfake detection method: you only look once–convolutional neural network–extreme gradient boosting (YOLO-CNN-XGBoost). The YOLO face detector is employed to extract the face area from video frames, while the InceptionResNetV2 CNN is utilized to extract features from these faces. These features are fed into the XGBoost that works as a recognizer on the top level of the CNN network. The proposed method achieves 90.62% of an area under the receiver operating characteristic curve (AUC), 90.73% accuracy, 93.53% specificity, 85.39% sensitivity, 85.39% recall, 87.36% precision, and 86.36% F1-measure on the CelebDF-FaceForencics++ (c23) merged dataset. The experimental study confirms the superiority of the presented method as compared to the state-of-the-art methods.
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Keyword:
convolutional neural network; deepfake; face detector; fake video detection; XGBoost; YOLO
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URL: https://doi.org/10.3390/s21165413
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| 15 |
Deep Learning Based Air-Writing Recognition with the Choice of Proper Interpolation Technique
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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
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In: Applied Sciences ; Volume 11 ; Issue 15 (2021)
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| 17 |
Cardiovascular Disease Recognition Based on Heartbeat Segmentation and Selection Process
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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
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In: Applied Sciences ; Volume 11 ; Issue 21 (2021)
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| 19 |
Robust 3D Face Reconstruction Using One/Two Facial Images
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In: Journal of Imaging ; Volume 7 ; Issue 9 (2021)
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| 20 |
Dynamic gesture classification of American Sign Language using deep learning
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