Search Results - "Autoencoder neural network"

Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand by Yadav, Mr. Amol Pandurang, Patil, Dr. Sandip.R.

“…This study presents a novel deep learning approach for surface electromyography (sEMG) gesture recognition using stacked autoencoder neural network…”
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Real-Time Wireless ECG-Derived Respiration Rate Estimation using an Autoencoder with a DCT Layer by Pan, Hongyi, Zhu, Xin, Ye, Zhilu, Chen, Pai-Yen, Cetin, Ahmet Enis

“… The wireless wearable system records the ECG data of the subject and the respiration rate is determined from the variations in the baseline level of the ECG data…”
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Cyber Anomaly Detection Design for Microgrids using an Artificial Intelligent-Based Method by Toker, Onur, Khalghani, Mohammad Reza

“… Therefore, this paper focuses on developing a cyber anomaly detection based on an autoencoder neural network that is an unsupervised learning approach…”
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An automatic Alzheimer’s disease classifier based on spontaneous spoken English by Bertini, Flavio, Allevi, Davide, Lutero, Gianluca, Calzà, Laura, Montesi, Danilo

“…According to the World Health Organization, the number of people suffering from dementia worldwide will grow to 150 million by mid-century, and Alzheimer’s…”
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Ultrasound Image-Based Deep Features and Radiomics for the Discrimination of Small Fat-Poor Angiomyolipoma and Small Renal Cell Carcinoma by Zhang, Li, Sun, Kui, Shi, Liting, Qiu, Jianfeng, Wang, Ximing, Wang, Shumin

“… We extracted 4024 deep features from the autoencoder neural network and 1497 radiomics features from the Pyradiomics toolbox…”
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Enhanced Anomaly Detection in IoT Networks Using Deep Autoencoders with Feature Selection Techniques by Rhachi, Hamza, Balboul, Younes, Bouayad, Anas

“… Still, these networks are subject to various types of attacks that will lead to the loss of user data…”
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Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot by Wu, Xinyu, Liu, Du-Xin, Liu, Ming, Chen, Chunjie, Guo, Huiwen

“…The development of sharing technology makes it possible for expensive lower limb exoskeleton robots to be extensively employed. However, due to the uniqueness…”
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Multimodal Emotion Recognition in Response to Oil Paintings by Luo, Shuai, Lan, Yu-Ting, Peng, Dan, Li, Ziyi, Zheng, Wei-Long, Lu, Bao-Liang

“… In this work, we evaluate the effectiveness of oil paintings as stimuli. We develop an emotion stimuli dataset with 114 oil paintings selected from subject ratings to evoke three emotional states (i.e…”
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A New Channel Selection Method using Autoencoder for Motor Imagery based Brain Computer Interface by Parashiva, Praveen K., Vinod, A. P.

“… We train an under-complete sparse autoencoder neural network for each subject separately to encode the EEG data optimally…”
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Data portability for activities of daily living and fall detection in different environments using radar micro-doppler by Shah, Syed Aziz, Tahir, Ahsen, Le Kernec, Julien, Zoha, Ahmed, Fioranelli, Francesco

“…The health status of an older or vulnerable person can be determined by looking into the additive effects of aging as well as any associated diseases. This…”
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Nonlinear Reduced Order Modelling of Soil Structure Interaction Effects via LSTM and Autoencoder Neural Networks by Simpson, Thomas, Dervilis, Nikolaos, Couturier, Philippe, Maljaars, Nico, Chatzi, Eleni

“…In the field of structural health monitoring (SHM), inverse problems which require repeated analyses are common. With the increase in the use of nonlinear…”
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Motor imagery EEG signal classification using upper triangle filter bank auto-encode method by Tang, Rongnian, Li, Zibo, Xie, Xiaofeng

“… However, the problem of subject-specific frequency band selection occurs frequently in spatial feature extraction…”
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Estimation of daily bicycle traffic volumes using sparse data by El Esawey, Mohamed, Mosa, Ahmed Ibrahem, Nasr, Khaled

“… Automatic counters (e.g., loop detectors) used to collect such continuous data are subject to periodic malfunctions, leading to sporadic data gaps…”
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Eye-Tracking Image Encoding: Autoencoders for the Crossing of Language Boundaries in Developmental Dyslexia Detection by Vajs, Ivan A., Kvascev, Goran S., Papic, Tamara M., Jankovic, Milica M.

“… (training on one, testing on the other, and vice versa). One dataset included 30 subjects who read text written in Serbian on different color configurations and were tracked with a remote eye-tracker…”
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Assessment of abdominal rehabilitation for diastasis recti abdominis using ensemble autoencoder by Radhakrishnan, Menaka, Premkumar, Vinitha Joshy, Guddimettla, Mohan Teja, Choudhury, Sanjucta, Basu, Siddharth, Gupta, Satvik

“…Women experience major bodily changes both during pregnancy and post-pregnancy. Diastasis Recti Abdominis (DRA) is a noticeable issue in the postpartum period…”
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Evaluation of Autonomic Responses to the Urban Environment Through Traditional Methodologies and Autoencoding Networks by Maninetti, Chiara, Laureanti, Rita, Piga, Barbara E A, Rainisio, Nicola, Boffi, Marco, Stancato, Gabriele, Mainardi, Luca, Barbieri, Riccardo

“… predefined points of a path in an urban environment. The implementation of an Autoencoder neural network allowed for the identification of clusters of subjects exhibiting…”
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Machine Learning Based Anomaly Detection as an Emerging Trend in Telecommunications by Đorđević, Valentina, Miloševic, Pavle, Poledica, Ana

“…Research Question: This paper investigates into how machine learning can be applied for the purpose of detecting anomalies in the data describing transport…”
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Comparing human and algorithmic anomaly detection for HVAC systems applications by Borrison, Reuben, Syndicus, Marc, Orth, Andre, Markovic, Romana, Dix, Marcel, Liguori, Antonio, Berning, Matthias, Wagner, Andreas, Van Treeck, Christoph

“… Open source datasets with sensor data were annotated by persons with low subject matter experience, and compared with a Convolutional Autoencoder Neural Network (CAE…”
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Statistical Inferences on Functional Connectivity in the Hippocampal and Prefrontal Areas by Xu, Yiqi

“…This dissertation is composed of three research projects. The first project focuses on detecting the functional connectivity of brain network in the…”
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Improving Sensor-Based Affect Detection with Multimodal Data Imputation by Henderson, Nathan, Emerson, Andrew, Rowe, Jonathan, Lester, James

“… Through the use of an autoencoder neural network trained on Microsoft Kinect-based posture data and electrodermal activity data with synthetic noise injection, we approximate missing values within…”
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