Anomaly Detection of Water Level Using Deep Autoencoder von Isack Thomas Nicholaus, Jun Ryeol Park, Kyuil Jung, Jun Seoung Lee, Dae-Ki Kang

Schlagworte: Volltext

Deep autoencoder-powered pattern identification of sleep disturbance using multi-site cross-sectional survey data von Hyeonhoon Lee, Yujin Choi, Byunwoo Son, Jinwoong Lim, Jinwoong Lim, Seunghoon Lee, Jung Won Kang, Kun Hyung Kim, Eun Jung Kim, Changsop Yang, Jae-Dong Lee

Schlagworte: “… deep autoencoder …”
Volltext

Deep heterogeneous autoencoders for Collaborative Filtering von Li, Tianyu, Ma, Yukun, Xu, Jiu, Stenger, Björn, Liu, Chen, Hirate, Yu

Schlagworte: Volltext

NDAMA: A Novel Deep Autoencoder and Multivariate Analysis Approach for IoT-Based Methane Gas Leakage Detection von Khongorzul Dashdondov, Mi-Hye Kim, Kyuri Jo

Schlagworte: “… Deep autoencoder …”
Volltext

Generation and discrimination of autism MRI images based on autoencoder von Yuxin Shi, Yongli Gong, Yurong Guan, Jiawei Tang

Schlagworte: “… deep autoencoder …”
Volltext

Deep autoencoders and multivariate analysis for enhanced hypertension detection during the COVID-19 era von Khongorzul Dashdondov, Mi-Hye Kim, Mi-Hwa Song

Schlagworte: Volltext

A Combination of Deep Autoencoder and Multi-Scale Residual Network for Landslide Susceptibility Evaluation von Zhuolu Wang, Shenghua Xu, Jiping Liu, Yong Wang, Xinrui Ma, Tao Jiang, Xuan He, Zeya Han

Schlagworte: Volltext

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach von Jamal F. Hwaidi, Thomas M. Chen

Schlagworte: Volltext

False Information Detection via Multimodal Feature Fusion and Multi-Classifier Hybrid Prediction von Yi Liang, Turdi Tohti, Askar Hamdulla

Schlagworte: Volltext

A steam turbine anomaly detection method based on O-DAE and SVDD von XU Weimin, LI Xuemin, ZHANG Yi, Maulidi Barasa, ZHANG Peize, YI Youzhong

Schlagworte: “… deep autoencoder …”
Volltext

A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder von Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

Schlagworte: Volltext

Auto encoder-guided Feature Extraction for Pneumonia Identification from Chest X-ray Images von Rana Neeta, Marwaha Hitesh

Schlagworte: Volltext

Relieving the burden of intensive labeling for stress monitoring in the wild by using semi-supervised learning von Osman Tugay Başaran, Yekta Said Can, Elisabeth André, Cem Ersoy

Schlagworte: Volltext

Unsupervised Deep Clustering With Hard Balanced Constraint: Application in Disciplinary-Focused Student Section Formation von Siripinyo Chantamunee, Pornpon Thamrongrat, Putthiporn Thanathamathee, Kannattha Chaisriya, Dinna Nina Mohd Nizam

Schlagworte: Volltext

Tasmanian devil optimization with deep autoencoder for intrusion detection in IoT assisted unmanned aerial vehicle networks von Noha Negm, Hayam Alamro, Randa Allafi, Majdi Khalid, Amal M. Nouri, Radwa Marzouk, Aladdin Yahya Othman, Noura Abdelaziz Ahmed

Schlagworte: Volltext

A White Shark Equilibrium Optimizer with a Hybrid Deep-Learning-Based Cybersecurity Solution for a Smart City Environment von Latifah Almuqren, Sumayh S. Aljameel, Hamed Alqahtani, Saud S. Alotaibi, Manar Ahmed Hamza, Ahmed S. Salama

Schlagworte: Volltext

A DEEP AUTOENCODER-BASED REPRESENTATION FOR ARABIC TEXT CATEGORIZATION von Fatima-zahra El-Alami, Abdelkader El Mahdaouy, Said Ouatik El Alaoui, Noureddine En-Nahnahi

Schlagworte: Volltext

A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems von Sumaia Mohammed Al-Ghuribi, Shahrul Azman Mohd Noah, Mawal A. Mohammed, Neeraj Tiwary, Nur Izyan Yasmin Saat

Schlagworte: Volltext

Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and Classification von Subeen Leem, Jisong Oh, Dayeong So, Jihoon Moon

Schlagworte: Volltext

Predictive anomaly detection for marine diesel engine based on echo state network and autoencoder von Chong Qu, Zhiguo Zhou, Zhiwen Liu, Shuli Jia

Schlagworte: Volltext