Results 131 to 140 of about 113,519 (298)

Autoencoder based image quality metric for modelling semantic noise in semantic communications [PDF]

, 2023
Prabhath Samarathunga, Thanuj Fernando, Vishnu Gowrisetty, Thisarani Atulugama, Anil Fernando   +4 more
openalex   +1 more source

Autoencoder

, 2021
Dimitrios Toumpanakis, Edgar Lorente, Candace Moore   +2 more
openaire   +1 more source

Cross‐Modal Characterization of Thin‐Film MoS2 Using Generative Models

Advanced Intelligent Systems, EarlyView.
Cross‐modal learning is evaluated using atomic force microscopy (AFM), Raman spectroscopy, and photoluminescence spectroscopy (PL) through unsupervised learning, regression, and autoencoder models. Autoencoder models are used to generate spectroscopy data from the microscopy images.
Isaiah A. Moses, Chen Chen, Joan M. Redwing, Wesley F. Reinhart   +3 more
wiley   +1 more source

RPSLearner: A Novel Approach Based on Random Projection and Deep Stacking Learning for Categorizing Non‐Small Cell Lung Cancer

Advanced Intelligent Systems, EarlyView.
Identifying non‐small cell lung cancer (NSCLC) subtypes is essential for precision cancer treatment. Conventional methods are laborious, or time‐consuming. To address these concerns, RPSLearner is proposed, which combines random projection and stacking ensemble learning for accurate NSCLC subtyping. RPSLearner outperforms state‐of‐the‐art approaches in
Xinchao Wu, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

The trade-off between maximizing reconstruction and physiological interpretation of muscle synergies with autoencoders

Frontiers in Human Neuroscience
IntroductionIn neuroscience, the muscle synergy method is a widely known computational approach for studying motor control from electromyographic (EMG) recordings.
Cristina Brambilla, Nicol Moscatelli, Valentina Lanzani, Lorenzo Molinari Tosatti, Alessandro Brusaferri, Alessandro Scano   +5 more
doaj   +1 more source

Deep Autoencoder Framework for Classifying Damage Mechanisms in Repaired CFRP [PDF]

Claudia Barile, Caterina Casavola, Dany Katamba Mpoyi, Giovanni Pappalettera   +3 more
openalex   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Evaluation of the Risk of Urinary System Stone Recurrence Using Anthropometric Measurements and Lifestyle Behaviors in a Developed Artificial Intelligence Model

Diagnostics
Background/Objectives: Urinary system stone disease is an important health problem both clinically and economically due to its high recurrence rates.
Hikmet Yasar, Kadir Yildirim, Mucahit Karaduman, Bayram Kolcu, Mehmet Ezer, Ferhat Yakup Suceken, Fatih Bicaklioğlu, Mehmet Erhan Aydin, Coskun Kaya, Muhammed Yildirim, Kemal Sarica   +10 more
doaj   +1 more source

A CRDNet‐Based Watermarking Algorithm for Fused Visible–Infrared Images

Advanced Intelligent Systems, EarlyView.
CRDnet includes encoders and decoders based on residual and dense structures, a fusion network robust to 12 visible and infrared image fusion algorithms, and predictors for predicting watermarked infrared images. The encoder and decoder incorporate preprocessing steps, attention mechanisms, and activation functions suitable for infrared images.
Yu Bai, Li Li, Shanqing Zhang, Ting Luo, Chin‐Chen Chang   +4 more
wiley   +1 more source

GC-AVAE: A Graph Convolutional Adversarial Variational Autoencoder for Node Classification

, 2023
Mohadeseh Ghayekhloo, Ahmad Nickabadi
openalex   +1 more source