Suchergebnisse - sparse autoencoder network ((sae OR sage)-net)

Reducing image artifacts in sparse projection CT using conditional generative adversarial networks

Autoren: Keisuke Usui Sae Kamiyama Akihiro Arita et al.

Quelle: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Schlagwörter: Sparse projection, CGAN, Deep learning, Artifact reduction, CT, Medicine, Science

Dateibeschreibung: electronic resource

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

Zugangs-URL: https://doaj.org/article/e58a70ed60564b52b09e8aece96246e2

Automated Video-EEG Analysis in Epilepsy Studies: A Narrative Review of Advances and Challenges.

Autoren: Zuev VA Salmagambetova EG Djakov SN et al.

Quelle: Journal of medical systems [J Med Syst] 2025 Oct 20; Vol. 49 (1), pp. 142. Date of Electronic Publication: 2025 Oct 20.

Publikationsart: Journal Article; Review

Info zur Zeitschrift: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 7806056 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-689X (Electronic) Linking ISSN: 01485598 NLM ISO Abbreviation: J Med Syst Subsets: MEDLINE

MeSH-Schlagworte: Electroencephalography*/methods , Epilepsy*/diagnosis , Epilepsy*/physiopathology , Video Recording*/methods, Humans ; Machine Learning

Robust approach for AMC in frequency selective fading scenarios using unsupervised sparse‐autoencoder‐based deep neural network.

Autoren: Shah, Maqsood Hussain Dang, Xiaoyu

Quelle: IET Communications (Wiley-Blackwell). Mar2019, Vol. 13 Issue 4, p423-432. 10p.

Schlagwörter: *ARTIFICIAL neural networks, *ARTIFICIAL intelligence, *DEEP learning, *ORDER statistics, *SIGNAL classification

Deep Learning-Based Magnetic Resonance Image Segmentation and Classification for Alzheimer's Disease Diagnosis.

Autoren: Manochandar, T. Diderot, P. Kumaraguru

Quelle: International Journal of Image & Graphics. May2025, Vol. 25 Issue 3, p1-17. 17p.

Schlagwörter: *CONVOLUTIONAL neural networks, *IMAGE analysis, *IMAGE recognition (Computer vision), *IMAGE segmentation, *ALZHEIMER'S disease

Compressive Reconstruction Based on Sparse Autoencoder Network Prior for Single-Pixel Imaging.

Autoren: Zeng, Hong Dong, Jiawei Li, Qianxi et al.

Quelle: Photonics; Oct2023, Vol. 10 Issue 10, p1109, 21p

Schlagwörter: PIXELS, MULTICHANNEL communication, COMPRESSED sensing, FEATURE extraction, IMAGE reconstruction, LINEAR equations, INFORMATION networks

Classification and Precision Diagnosis of Endometrial Cancer - Survey.

Autoren: Kodagali, Sachin Prasad, Venkatesh

Quelle: Journal of Advanced Zoology. 2023 Supplement, Vol. 44, p675-678. 4p.

基于通信域和雷达域融合特征的无人机集群类型识别算法. (Chinese)

Alternate Title: Identification of UAV swarm type based on fusion features of communication and radar domain. (English)

Autoren: 张书衡 翟茹萍 刘永凯

Quelle: Systems Engineering & Electronics; Dec2023, Vol. 45 Issue 12, p3734-3742, 9p

Schlagwörter: DRONE aircraft, FEATURE selection, RADAR, STATISTICS

K-Means Clustering Optimizing Deep Stacked Sparse Autoencoder.

Autoren: Bi, Yandong Wang, Peng Guo, Xuchao et al.

Quelle: Sensing & Imaging; 2/10/2019, Vol. 20 Issue 1, p1-1, 1p

Machine learning in computational histopathology: Challenges and opportunities.

Autoren: Cooper M Ji Z Krishnan RG

Quelle: Genes, chromosomes & cancer [Genes Chromosomes Cancer] 2023 Sep; Vol. 62 (9), pp. 540-556. Date of Electronic Publication: 2023 Jun 14.

Publikationsart: Journal Article; Review; Research Support, Non-U.S. Gov't

Info zur Zeitschrift: Publisher: Wiley-Liss Country of Publication: United States NLM ID: 9007329 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2264 (Electronic) Linking ISSN: 10452257 NLM ISO Abbreviation: Genes Chromosomes Cancer Subsets: MEDLINE

MeSH-Schlagworte: Machine Learning* , Neoplasms*/genetics , Neoplasms*/diagnosis, Humans

The 1st International Conference on Net-Zero Built Environment

Autoren: Mahdi Kioumarsi Behrouz Shafei

Resource Type: eBook.

Schlagworte: Zero energy buildings--Congresses

Categories: ARCHITECTURE / Sustainability & Green Design, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Civil / General, TECHNOLOGY & ENGINEERING / Environmental / General, TECHNOLOGY & ENGINEERING / Materials Science / General

The optimally designed autoencoder network for compressed sensing.

Autoren: Zhang, Zufan Wu, Yunfeng Gan, Chenquan et al.

Quelle: EURASIP Journal on Image & Video Processing; 4/29/2019, Vol. 2019 Issue 1, pN.PAG-N.PAG, 1p

Schlagwörter: COMPRESSED sensing, IMAGE denoising, LENGTH measurement, SAMPLING (Process), SIGNAL processing, RANDOM sets, DEEP learning

Deep Neural Networks and Data for Automated Driving : Robustness, Uncertainty Quantification, and Insights Towards Safety

Autoren: Tim Fingscheidt Hanno Gottschalk Sebastian Houben

Resource Type: eBook.

Schlagworte: Vehicular ad hoc networks (Computer networks), Automated vehicles, Neural networks (Computer science)

Categories: TECHNOLOGY & ENGINEERING / Automotive, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Data Science / General, MATHEMATICS / Applied, TECHNOLOGY & ENGINEERING / Engineering (General)

The Sage Handbook of Social Network Analysis

Autoren: John McLevey John Scott Peter J. Carrington

Resource Type: eBook.

Schlagworte: Social sciences--Network analysis, Social networks

Categories: SOCIAL SCIENCE / Research

Oestrus Analysis of Sows Based on Bionic Boars and Machine Vision Technology.

Autoren: Lei, Kaidong Zong, Chao Du, Xiaodong et al.

Quelle: Animals (2076-2615); Jun2021, Vol. 11 Issue 6, p1485-1485, 1p

Schlagwörter: COMPUTER vision, ESTRUS, BOARS, SOWS, BIONICS

DEEP LEARNING-BASED FACE-IRIS RECOGNITION WITH CAPSULE NEURAL NETWORK (CAPSNET) FOR BIOMETRIC ATTENDANCE SYSTEM.

Autoren: KARUNAKARAN, SANGEETHA AKILA, A.

Quelle: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p345-358, 14p

Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.

Autoren: Zhang, Yu Chen, Zhe Sage

Quelle: Nature Biomedical Engineering; Aug2025, Vol. 9 Issue 8, p1186-1201, 16p

Role of Deep Learning in Neurodevelopmental Disorders: A Narrative Review.

Autoren: Chacko, Nilah Ans Veedu, Nimmi Puthan Panayan, Abhinav et al.

Quelle: Journal of Clinical & Diagnostic Research; Nov2025, Vol. 19 Issue 11, p1-8, 8p

Schlagwörter: DEEP learning, AUTISM spectrum disorders, PEDIATRIC neurology, ATTENTION-deficit hyperactivity disorder, DIAGNOSTIC examinations, NEURAL development

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.

Autoren: Ahmed, Imtiaz Galoppo, Travis Hu, Xia et al.

Quelle: IEEE Transactions on Pattern Analysis & Machine Intelligence; Aug2022, Vol. 44 Issue 8, p4110-4124, 15p

Schlagwörter: ANOMALY detection (Computer security), GENERATIVE adversarial networks, EUCLIDEAN metric, GEODESIC distance, EUCLIDEAN distance, SPANNING trees, GEODESICS

Groundwater Pollution Source and Aquifer Parameter Estimation Based on a Stacked Autoencoder Substitute.

Autoren: Wang, Han Zhang, Jinping Li, Hang et al.

Quelle: Water (20734441); Sep2024, Vol. 16 Issue 18, p2564, 15p

Schlagwörter: LATIN hypercube sampling, FIX-point estimation, DEEP learning, HEURISTIC, PARAMETER estimation

Advancing Visual Perception Through VCANet-Crossover Osprey Algorithm: Integrating Visual Technologies.

Autoren: Ning Y Li J Sun S

Quelle: Journal of imaging informatics in medicine [J Imaging Inform Med] 2025 Apr 03. Date of Electronic Publication: 2025 Apr 03.

Publikationsart: Journal Article

Info zur Zeitschrift: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE