Feature Representation and Data Augmentation for Human Activity Classification Based on Wearable IMU Sensor Data Using a Deep LSTM Neural Network
Odongo Steven Eyobu, Dong Seog Han · Sensors · 2018
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Estudos híbridos de uso da informação no portal do Centro de Ciências Humanas, Letras e Artes da UFPB │ Hybrid Studies of information use in the homepage of the Centre for Humanities, Arts and Letters of the Federal University of Paraíba
Laerte Pereira da Silva Júnior · Liinc em Revista · 2013
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Intelligent Environmental Art Design Combining Big Data and Artificial Intelligence
Yanxia Li · Complexity · 2021
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Gradient local auto-correlation features for depth human action recognition
Mohammad Farhad Bulbul, Hazrat Ali · SN Applied Sciences · 2021
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3D Human Pose Estimation Based on a Fully Connected Neural Network With Adversarial Learning Prior Knowledge
Lu Meng, Hengshang Gao · Frontiers in Physics · 2021
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Center point to pose: Multiple views 3D human pose estimation for multi-person.
Huan Liu, Jian Wu, Rui He · PLoS ONE · 2022
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On the Implicit and on the Artificial - Morphogenesis and Emergent Aesthetics in Autonomous Collective Systems
Vitorino Ramos · Chapter 2 in ARCHITOPIA Book, Art, Architecture and Science, J.L. Maubant et al. (Eds.), pp. 25-57, INSTITUT D'ART CONTEMPORAIN (France), ISBN: 2905985631, Feb. 2002 · 2004
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An adversarial learning approach for discovering social relations in human-centered information networks
Shicheng Cui, Qianmu Li, Shu-Ching Chen · EURASIP Journal on Wireless Communications and Networking · 2020
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Human motion correction and representation method from motion camera
Hong-Bo Zhang, Feng Guo, Miaohui Zhang et al. · The Journal of Engineering · 2017
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State-of-the-art in artificial neural network applications: A survey
Oludare Isaac Abiodun, Aman Jantan, Abiodun Esther Omolara et al. · Heliyon · 2018 · Review
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A Deep Artificial Neural Network−Based Model for Prediction of Underlying Cause of Death From Death Certificates: Algorithm Development and Validation
Falissard, Louis, Morgand, Claire, Roussel, Sylvie et al. · JMIR Medical Informatics · 2020
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Deep learning—a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact
Jan Egger, Antonio Pepe, Christina Gsaxner et al. · PeerJ Computer Science · 2021
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User-independent accelerometer-based gesture recognition for mobile devices
Xian WANG, Paula TARRÍO, Ana María BERNARDOS et al. · Advances in Distributed Computing and Artificial Intelligence Journal · 2012
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Multi-Scale Spatial Temporal Graph Neural Network for Skeleton-Based Action Recognition
Dong Feng, Zhongcheng Wu, Jun Zhang et al. · IEEE Access · 2021
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Apparent age prediction from faces: A survey of modern approaches
Olatunbosun Agbo-Ajala, Serestina Viriri, Serestina Viriri et al. · Frontiers in Big Data · 2022
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Two-Stage Model-Agnostic Meta-Learning With Noise Mechanism for One-Shot Imitation
Ziye Hu, Zhongxue Gan, Wei Li et al. · IEEE Access · 2020
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Saliency Detection Based on the Combination of High-Level Knowledge and Low-Level Cues in Foggy Images
Xin Zhu, Xin Xu, Nan Mu · Entropy · 2019
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On the Distribution of Salient Objects in Web Images and Its Influence on Salient Object Detection.
Boris Schauerte, Rainer Stiefelhagen · PLoS ONE · 2015
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Intertwingled: The Work and Influence of Ted Nelson
History of Computing · 2015
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Unobtrusive Multimodal Biometric Authentication: The HUMABIO Project Concept
Evangelos Bekiaris, Dimitrios Tzovaras, Ioannis G. Damousis · EURASIP Journal on Advances in Signal Processing · 2008
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