Search Results - gated recurrent convolutional autoencoder

Data-Driven OTFS Channel Estimation Based on Gated Recurrent Convolutional Autoencoder

Authors: Junshen Chen Qihao Yuan Shiyao Zhang et al.

Source: 2023 22nd International Symposium on Communications and Information Technologies (ISCIT). :7-12

An Anomaly Detection Method for Smart Grid Based on Convolutional Autoencoder and Gated Recurrent Unit

Authors: Xiangdong Hu Xin Xing

Source: 2024 6th International Conference on Frontier Technologies of Information and Computer (ICFTIC). :545-548

Anomaly detection using convolutional autoencoder with residual gated recurrent unit and weak supervision for photovoltaic thermal heat pump system

Authors: Lukudu Samuel John Sungmin Yoon Jiteng Li et al.

Source: Journal of Building Engineering. 100:111694

IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks

Authors: Suma Christal Mary Sundararajan Yamini Bhavani Shankar Sinthia Panneer Selvam et al.

Source: Sci Rep
Scientific Reports, Vol 15, Iss 1, Pp 1-21 (2025)

Subject Terms: Internet of things, Aquaponic fish ponds, Science, Internet of Things, Fishes, Aquaculture, Article, Revamped fitness-based mother optimization algorithm, Water Quality, Medicine, Animals, Neural Networks, Computer, Water quality prediction, Ponds, Multi-scale feature fusion-based convolutional autoencoder with gated recurrent unit, Algorithms, Environmental Monitoring

Access URL: https://pubmed.ncbi.nlm.nih.gov/39809886
https://doaj.org/article/481247aba02e483987cf278ae390a214

Power Consumption Anomaly Detection of Smart Grid Based on CAE-GRU

Authors: Jing Yang Qiang Song Lei Hu et al.

Source: Energies, Vol 18, Iss 18, p 4787 (2025)

Subject Terms: anomaly detection, convolutional autoencoder, gated recurrent unit, deep learning, Technology

File Description: electronic resource

Relation: https://www.mdpi.com/1996-1073/18/18/4787; https://doaj.org/toc/1996-1073

Access URL: https://doaj.org/article/375f19aa098a4abb97b222d84b555dd9

Attention model based on one-dimensional residual convolutional autoencoder and GRU for knowledge tracing.

Authors: Ai, Lingmei Zhang, Xiaoying

Source: Multimedia Tools & Applications; Jun2025, Vol. 84 Issue 21, p23725-23743, 19p

Subject Terms: AUTOENCODERS, DEEP learning, ONLINE education, ATTENTION, PROBABILITY theory

IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks.

Authors: Sundararajan, Suma Christal Mary Shankar, Yamini Bhavani Selvam, Sinthia Panneer et al.

Source: Scientific Reports; 1/14/2025, Vol. 15 Issue 1, p1-21, 21p

Subject Terms: OPTIMIZATION algorithms, WATER quality, FISH ponds, ARTIFICIAL intelligence, AUTOENCODERS

A hybrid 1DCNN-GRU deep learning framework for classifying caprine granulosa cell fertility potential using single-cell transcriptomics.

Authors: Sananmuang, Thanida Puthier, Denis Chokeshaiusaha, Kaj

Source: Veterinary World. Jul2025, Vol. 18 Issue 7, p1922-1935. 14p.

Subjects: Granulosa cells, Fertility, Convolutional neural networks, Transcriptomes, Deep learning, Recurrent neural networks, Goats, Biomarkers

AI-Assisted Monitoring and Prediction of Structural Displacements in Large-Scale Hydropower Facilities.

Authors: Liu, Jianghua Gu, Chongshi Wang, Jun et al.

Source: Water (20734441); Oct2025, Vol. 17 Issue 20, p2996, 19p

Subject Terms: HYDROELECTRIC power plants, CONVOLUTIONAL neural networks, SAFETY, SCIENTIFIC observation, DISPLACEMENT (Mechanics), SPATIOTEMPORAL processes, ARTIFICIAL intelligence, RECURRENT neural networks

Research on multi-label classification model design in online teaching and learning for music scholars from a biomechanical perspective.

Authors: Shi, Jianyu Shi, Zijun

Source: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 4, p1-18, 18p

Subject Terms: MUSIC education, BIOMECHANICS, CONVOLUTIONAL neural networks, CLASSIFICATION, FEATURE extraction, ONLINE education

Automated multi-class skin cancer classification using white shark optimizer with ensemble learning classifier on dermoscopy images.

Authors: Arumugam, R. Vijay Saravanan, S.

Source: Multimedia Tools & Applications; Mar2025, Vol. 84 Issue 8, p4857-4879, 23p

Subject Terms: ENSEMBLE learning, COMPUTER-aided diagnosis, ARTIFICIAL intelligence, DEEP learning, AUTOENCODERS

SRCAE-STCBiGRU: a fused deep learning model for remaining useful life prediction of rolling bearings.

Authors: Deng, Linfeng Yan, Xinhui Li, Wei

Source: Signal, Image & Video Processing; Dec2024, Vol. 18 Issue 12, p9119-9140, 22p

A comparative analysis of deep-learning models for dam discharge forecasting for disaster management.

Authors: Nisha, C. M. Thangarasu, N.

Source: Water Supply; Dec2024, Vol. 24 Issue 12, p4024-4045, 22p

Subject Terms: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, LONG short-term memory, WATER management, RECURRENT neural networks, FLOOD warning systems, DROUGHT management

Unravelling emotions: exploring deep learning approaches for EEG-based emotion recognition with current challenges and future recommendations.

Authors: Abgeena, Abgeena Garg, Shruti

Source: Cognitive Neurodynamics; 10/23/2025, Vol. 19 Issue 1, p1-32, 32p

Short-term solar radiation forecasting using hybrid deep residual learning and gated LSTM recurrent network with differential covariance matrix adaptation evolution strategy

Authors: Neshat, M. Majidi Nezhad, Meysam Mirjalili, S. et al.

Source: Energy. 278

Subject Terms: Deep residual learning, Gated recurrent unit, Hybrid deep learning models, Recurrent neural network, Short-term forecasting, Solar radiation, Xception

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-62698

Research on Water Quality Prediction Model Based on Spatiotemporal Weighted Fusion and Hierarchical Cross-Attention Mechanisms.

Authors: Zhou, Jiaming Wei, Ke Huang, Jiahuan et al.

Source: Water (20734441); May2025, Vol. 17 Issue 9, p1244, 20p

Subject Terms: CONVOLUTIONAL neural networks, WATER quality monitoring, STANDARD deviations, WATER quality, SPATIOTEMPORAL processes

Electricity theft detection for energy optimization using deep learning models.

Authors: Pamir Javaid, Nadeem Javed, Muhammad Umar et al.

Source: Energy Science & Engineering. Oct2023, Vol. 11 Issue 10, p3575-3596. 22p.

Subject Terms: *DEEP learning, *CONVOLUTIONAL neural networks, *RECEIVER operating characteristic curves, *ELECTRICITY, *THEFT, *ELECTRIC utilities

Geographic Terms: CHINA

Reference Crop Evapotranspiration Prediction Based on Gated Recurrent Unit with Quantum Inspired Multi-head Self-attention Mechanism.

Authors: Gao, Zehai Yang, Dongzhe Li, Baojun et al.

Source: Water Resources Management; Feb2025, Vol. 39 Issue 3, p1481-1501, 21p

Subject Terms: SATURATION vapor pressure, IRRIGATION scheduling, BACK propagation, VAPOR pressure, WATER pressure

A Novel End-To-End Learning Framework Based on Optimised Residual Gated Units and Stacked Pre-Trained Layers for Detection of Autism Spectrum Disorders (ASD).

Authors: Sarvalingam, Parameswaran Vajravelu, Ashok Selvam, Janani et al.

Source: BRAIN: Broad Research in Artificial Intelligence & Neuroscience; Feb2025, Vol. 16 Issue 1, p286-305, 20p

Subject Terms: AUTISM spectrum disorders, ARTIFICIAL intelligence, EARLY diagnosis, ELECTROENCEPHALOGRAPHY, DEEP learning, AUTISM, SPECTROGRAMS

A novel stacked hybrid autoencoder for imputing LISA data gaps

Authors: Mao, Ruiting Lee, Jeong Eun Edwards, Matthew C.

Index Terms: General Relativity and Quantum Cosmology, Astrophysics - Instrumentation and Methods for Astrophysics, Physics - Data Analysis, Statistics and Probability, text

URL: http://arxiv.org/abs/2410.05571