Search Results - 3D conventional autoencoder*

Deep learning-based automated 3D inspection of helical gears using voxelized CAD models and 3D convolutional autoencoders.

Authors: Selloum, Rabia Ameddah, Hacene Brioua, Mourad

Source: International Journal of Advanced Manufacturing Technology. Dec2025, Vol. 141 Issue 7/8, p3695-3715. 21p.

Subject Terms: *HELICAL gears, *ENGINEERING inspection, *INSPECTION & review, *THREE-dimensional modeling, *INDUSTRIAL applications, *INDUSTRIAL robots, *DEEP learning

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

Authors: Muhammad Sajid Kaleem Razzaq Malik Ateeq Ur Rehman et al.

Source: Scientific Reports, Vol 15, Iss 1, Pp 1-18 (2025)

Subject Terms: 2D, Vision Transformers, 3D, Masked Autoencoders, 2D Semantics, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/3143c9ff3a0846e5bbefb25e2bfc10b7

An Advanced Immersion Level Prediction Using Ensemble Classifier with Heuristic Search Algorithm in 3D Games Content Generated Virtual Environments.

Authors: Sundararajan, Kamalanathan Santhanam, Prasanna

Source: Fusion: Practice & Applications; 2026, Vol. 21 Issue 1, p277-292, 16p

Subject Terms: ARTIFICIAL intelligence, METAHEURISTIC algorithms, LONG short-term memory, AUTOENCODERS, HEURISTIC

Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing

Authors: Tayebati, Sina Tulabandhula, Theja Trivedi, Amit R.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, text

URL: http://arxiv.org/abs/2406.07833

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders.

Authors: Sajid, Muhammad Razzaq Malik, Kaleem Ur Rehman, Ateeq et al.

Source: Scientific Reports; 1/25/2025, Vol. 15 Issue 1, p1-18, 18p

Subject Terms: NATURAL language processing, ARTIFICIAL intelligence, TRANSFORMER models, COGNITIVE psychology, ELECTRONIC data processing

Recovering hidden degrees of freedom using Gaussian processes.

Authors: Diez, Georg Dethloff, Nele Stock, Gerhard

Source: Journal of Chemical Physics. 9/28/2025, Vol. 163 Issue 12, p1-11. 11p.

Subject Terms: *MOLECULAR dynamics, *AUTOENCODERS, *GAUSSIAN distribution, *STATISTICAL correlation, *PHYSICS

Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data

Authors: Yi Huang Yihui Ren Shinjae Yoo et al.

Source: Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis. :298-305

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, High Energy Physics - Experiment (hep-ex), Statistics - Machine Learning, 0103 physical sciences, FOS: Physical sciences, Machine Learning (stat.ML), Nuclear Experiment (nucl-ex), Nuclear Experiment, 01 natural sciences, High Energy Physics - Experiment, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2310.15026

3D variational autoencoder for fingerprinting microstructure volume elements

Authors: Michael D. White Michael D. Atkinson Adam J. Plowman et al.

Source: Computational Materials Science. 259:114145

Subject Terms: Machine Learning, FOS: Computer and information sciences, Materials Science, Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2503.17427

Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data

Authors: Huang, Yi Ren, Yihui Yoo, Shinjae et al.

Index Terms: Statistics - Machine Learning, Computer Science - Machine Learning, High Energy Physics - Experiment, Nuclear Experiment, text

URL: http://arxiv.org/abs/2310.15026

Three-dimensional semi-supervised lumbar vertebrae region of interest segmentation based on MAE pre-training.

Authors: Liu, Yang Chen, Jian Hai, Jinjin et al.

Source: Journal of X-Ray Science & Technology; Jan2025, Vol. 33 Issue 1, p270-282, 13p

Subject Terms: SUPERVISED learning, LUMBAR vertebrae, IMAGE segmentation, LUMBOSACRAL region, AUTOENCODERS

Optimizing 3D printing through enhancements in inverse autoencoder models and guided decoders for predicting mechanical properties.

Authors: Nguyen, Phuong Dong Hoang, Tien-Dat Nguyen, Thanh Q.

Source: Progress in Additive Manufacturing; Oct2025, Vol. 10 Issue 10, p8729-8750, 22p

A combination method of stacked autoencoder and 3D deep residual network for hyperspectral image classification

Authors: Jinling Zhao Lei Hu Yingying Dong et al.

Source: International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102459- (2021)

Subject Terms: Deep learning, Hyperspectral remote sensing, Residual network, 3D convolutional neural network, Spectral-spatial features, Stacked autoencoder, Physical geography, GB3-5030, Environmental sciences, GE1-350

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0303243421001665; https://doaj.org/toc/1569-8432

Access URL: https://doaj.org/article/4549b09e51ee4d4cbd419b3cbe97ef77

Hybrid 3D Medical Image Segmentation Using CNN and Frequency Transformer Fusion.

Authors: Labbihi, Ismayl El Meslouhi, Othmane Elassad, Zouhair Elamrani Abou et al.

Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ); Aug2025, Vol. 50 Issue 15, p11713-11726, 14p

Subject Terms: CONVOLUTIONAL neural networks, TRANSFORMER models, FAST Fourier transforms, COMPUTER-assisted image analysis (Medicine), AUTOENCODERS, FOURIER transforms, ARTIFICIAL neural networks

Multi-layer convolutional autoencoder for recognizing three-dimensional patterns in attention deficit hyperactivity disorder using resting-state functional magnetic resonance imaging.

Authors: Begum, Zarina Shaik, Kareemulla

Source: International Journal of Electrical & Computer Engineering (2088-8708); Aug2025, Vol. 15 Issue 4, p3965-3976, 12p

Subject Terms: ATTENTION-deficit hyperactivity disorder, FUNCTIONAL magnetic resonance imaging, SPATIO-temporal variation, DEEP learning, COGNITIVE science, CONVOLUTIONAL neural networks, MACHINE learning

DAR-MDE: Depth-Attention Refinement for Multi-Scale Monocular Depth Estimation.

Authors: Abdulwahab, Saddam Rashwan, Hatem A. El-Melegy, Moumen T. et al.

Source: Journal of Sensor & Actuator Networks; Oct2025, Vol. 14 Issue 5, p90, 28p

Subject Terms: AUTOENCODERS, DEPTH maps (Digital image processing), THREE-dimensional imaging, REAL-time computing

Detection, quantification, malignancy prediction and growth forecasting of pulmonary nodules using deep learning in follow-up CT scans

Authors: Rafael-Palou, Xavier

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: González Ballester, Miguel Ángel, Piella Fenoy, Gemma, Ribas Ripoll, Vicent Jordi

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Lung cancer prediction, Nodule detection, Nodule segmentation, Nodule characterization, Nodule malignancy estimation, Nodule follow-up, Nodule re-identification, Nodule growth forecasting, Uncertainty modelling and quantification, Convolutional neural networks, Variational autoencoders, Siamese neural networks, Generative networks, Transfer learning, Computer vision, Deep learning, Machine learning, Predicció del càncer de pulmó, Detecció de nòduls, Segmentació de nòduls, Caracterització de nòduls, Predicció de malignitat de nòduls, Seguiment de nòduls, Re-identificació de nòduls, Creixement de nòduls, Modelatge i quantificació de la malignitat, Xarxes neuronals convolucionals, Autoencoders variacional, Xarxes neuronals siameses, Xarxes generatives, Aprenentatge per transferència, Pipelines, Visió per computador, Aprenentatge profund, Aprenentatge automàtic

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/672964

Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder

Authors: Huang, Yi Ren, Yihui Yoo, Shinjae et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2111.05423

TVAE-3D: Efficient multi-view 3D shape reconstruction with diffusion models and transformer based VAE.

Authors: Sajid, Muhammad Malik, Kaleem Razzaq Khan, Ali Haider et al.

Source: Cluster Computing; Nov2025, Vol. 28 Issue 13, p1-22, 22p

Subject Terms: COMPUTER vision, THREE-dimensional imaging, PROBABILISTIC generative models, TRANSFORMER models, POINT cloud, LATENT variables

Diffusion models for topology optimization in 3D printing applications.

Authors: Bekbolat, Amanali Kurokawa, Syuhei Kamaru Zaman, Fadhlan Hafizhelmi et al.

Source: Journal of Applied Physics; 4/7/2025, Vol. 137 Issue 13, p1-16, 16p

Subject Terms: GENERATIVE adversarial networks, ENGINEERING design, ENGINEERING models, AEROSPACE engineers, CIVIL engineering

The Use of 3D Convolutional Autoencoder in Fault and Fracture Network Characterization

Authors: Feng Xu Zhiyong Li Bo Wen et al.

Source: Geofluids, Vol 2021 (2021)

Subject Terms: QE1-996.5, Geology, 01 natural sciences, 3. Good health, 0105 earth and related environmental sciences

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