Výsledky vyhledávání - Modified stacked sparse autoencoder

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy.

Autoři: He, Zhaopeng Shi, Tielin Chen, Xu

Zdroj: Sensors (14248220); Apr2025, Vol. 25 Issue 8, p2391, 14p

Témata: ARTIFICIAL neural networks, MACHINE learning, ENSEMBLE learning, NUMERICAL control of machine tools, AUTOENCODERS, DEEP learning

Social Media Platform Based Evaluation of Teaching Style on Online Education System using Heuristic Search with Stacked Sparse Autoencoder Model.

Autoři: Fouda, Walaa Mirzaliev, Sanjar Abokhoza, Reneh

Zdroj: Journal of Intelligent Systems & Internet of Things; 2025, Vol. 14 Issue 2, p115-126, 12p

Témata: SOCIAL media in education, VIRTUAL classrooms, ONLINE education, OPTIMIZATION algorithms, TEACHING methods

RETRACTED: Optimization using Internet of Agent based Stacked Sparse Autoencoder Model for Heart Disease Prediction.

Autoři: Baviskar, Vaishali Verma, Madhushi Chatterjee, Pradeep a další

Zdroj: Expert Systems; Dec2024, Vol. 41 Issue 12, p1-20, 20p

Témata: CONVOLUTIONAL neural networks, MACHINE learning, OPTIMIZATION algorithms, NOSOLOGY, CLASSIFICATION algorithms

Visual Motion Segmentation in Crowd Videos Based on Spatial-Angular Stacked Sparse Autoencoders.

Autoři: Hafeezallah, Adel Al-Dhamari, Ahlam Abu-Bakar, Syed Abd Rahman

Zdroj: Computer Systems Science & Engineering; 2023, Vol. 47 Issue 1, p593-611, 19p

Témata: COLLECTIVE behavior, IMAGE segmentation, DEEP learning, DATA analysis, ACCURACY

SSAE‐KPLS: A quality‐related process monitoring via integrating stacked sparse autoencoder with kernel partial least squares.

Autoři: Ye, Zhenyu Wu, Ping He, Yuchen a další

Zdroj: Canadian Journal of Chemical Engineering; Oct2023, Vol. 101 Issue 10, p5858-5873, 16p

Témata: LEAST squares, FEATURE extraction, MANUFACTURING processes, PRODUCT quality

Breath analysis based early gastric cancer classification from deep stacked sparse autoencoder neural network.

Autoři: Aslam, Muhammad Aqeel Xue, Cuili Chen, Yunsheng a další

Zdroj: Scientific Reports; 2/17/2021, Vol. 11 Issue 1, p1-12, 12p

Témata: STOMACH cancer, DEEP learning, NEURAL circuitry, MORTALITY, COMPUTER-aided design

Intrusion Detection Method Based on Stacked Sparse Autoencoder and Sliced GRU for Connected Healthcare Systems.

Autoři: Gu, Zhaoyang Wang, Liangliang Li, Jinguo a další

Zdroj: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Feb2023, Vol. 48 Issue 2, p2061-2074, 14p

Témata: INTRUSION detection systems (Computer security), RECURRENT neural networks, CYBERTERRORISM, COVARIANCE matrices

Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder.

Autoři: Wang, Shui-Hua Satapathy, Suresh Chandra Zhou, Qinghua a další

Zdroj: Journal of Grid Computing; Mar2022, Vol. 20 Issue 1, p1-16, 16p

High Parameter Frequency Resolution Encoding Scheme for Spatial Audio Objects Using Stacked Sparse Autoencoder.

Autoři: Wu, Yulin Hu, Ruimin Wang, Xiaochen a další

Zdroj: Neural Processing Letters; Apr2022, Vol. 54 Issue 2, p817-833, 17p

Témata: VIDEO coding, SOUND systems, AUDIO communication, VIRTUAL reality, ARTIFICIAL neural networks, AUDIO equipment

Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET.

Autoři: Polat, Huseyin Turkoglu, Muammer Polat, Onur

Zdroj: IET Communications (Wiley-Blackwell); Dec2020, Vol. 14 Issue 22, p4089-4100, 12p

Five-category classification of pathological brain images based on deep stacked sparse autoencoder.

Autoři: Jia, Wenjuan Muhammad, Khan Wang, Shui-Hua a další

Zdroj: Multimedia Tools & Applications; Feb2019, Vol. 78 Issue 4, p4045-4064, 20p

Témata: MAGNETIC resonance imaging, ENCODING, COMPUTED tomography, IMAGE processing, CONJUGATE gradient methods

An intelligent fusion-based transfer learning model with artificial protozoa optimiser for enhancing gesture recognition to aid visually impaired people.

Autoři: Mengash, Hanan Abdullah Alqadi, Basma S. Marzouk, Radwa

Zdroj: Scientific Reports; 11/21/2025, Vol. 15 Issue 1, p1-20, 20p

Témata: PEOPLE with visual disabilities, ARTIFICIAL intelligence, HUMAN-computer interaction, IMAGE processing, SIGN language, DEEP learning, TRANSFER of training, HUMAN activity recognition

The classification of absence seizures using power-to-power cross-frequency coupling analysis with a deep learning network.

Autoři: Medvedev, A.V. Lehmann, B.

Zdroj: Frontiers in Neuroinformatics; 2025, p1-11, 11p

Témata: BRAIN waves, AUTOENCODERS, ARTIFICIAL intelligence, DEEP learning, DATABASES, UNIVERSITY hospitals

Deep network approach with stacked sparse autoencoders in detection of DDoS attacks on SDN‐based VANET.

Autoři: Polat, Huseyin Turkoglu, Muammer Polat, Onur

Zdroj: IET Communications (Wiley-Blackwell); Dec2020, Vol. 14 Issue 22, p4089-4100, 12p

Predicting the Remaining Useful Life of an Aircraft Engine Using a Stacked Sparse Autoencoder with Multilayer Self-Learning.

Autoři: Ma, Jian Su, Hua Zhao, Wan-lin a další

Zdroj: Complexity; 7/30/2018, p1-13, 13p

Témata: AIRPLANE motors, LOGISTIC regression analysis

HYBRID DEEP LEARNING NETWORK-BASED APPROACH FOR AIR COMBAT MANEUVER DECISION-MAKING.

Autoři: SHEEBA D. LINGESHWARI G. ANORELIN A.

Zdroj: i-Manager's Journal on Computer Science; Sep2025, Vol. 13 Issue 2, p83-93, 11p

Témata: LONG short-term memory, DEEP learning, DECISION making, METADATA, AIR warfare, ENSEMBLE learning, AUTONOMOUS robots

An intelligent grinding burn detection system based on two-stage feature selection and stacked sparse autoencoder.

Autoři: Guo, Weicheng Li, Beizhi Shen, Shouguo a další

Zdroj: International Journal of Advanced Manufacturing Technology; Aug2019, Vol. 103 Issue 5-8, p2837-2847, 11p

Témata: DEEP learning, FEATURE selection, HILBERT-Huang transform, MARAGING steel, ACOUSTIC emission, MACHINE learning, SIGNAL processing

Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine.

Autoři: Wang, Yanbin You, Zhuhong Li, Liping a další

Zdroj: Complexity; 12/10/2018, p1-12, 12p

Témata: PROTEIN-protein interactions, MACHINE learning

Weighted time series fault diagnosis based on a stacked sparse autoencoder.

Autoři: Lv, Feiya Wen, Chenglin Liu, Meiqin a další

Zdroj: Journal of Chemometrics; Sep2017, Vol. 31 Issue 9, pn/a-N.PAG, 16p

Témata: CHEMICAL industry, STATISTICS, FAULT diagnosis, THRESHOLDING algorithms, MULTIVARIATE analysis, NONLINEAR analysis

Application of Artificial Intelligence Technologies as an Intervention for Promoting Healthy Eating and Nutrition in Older Adults: A Systematic Literature Review.

Autoři: Kalu, Kingsley Ataguba, Grace Onifade, Oyepeju a další

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 20, p3223. 33p.