Results 231 to 240 of about 124,232 (320)

AGASI: A Generative Adversarial Network-Based Approach to Strengthening Adversarial Image Steganography. [PDF]

Entropy (Basel)
Fan H, Jin C, Li M.
europepmc   +1 more source

Learning Representations of Natural Language Texts with Generative Adversarial Networks at Document, Sentence, and Aspect Level [PDF]

, 2018
Aggeliki Vlachostergiou, George Caridakis, Phivos Mylonas, Andreas Stafylopatis   +3 more
openalex   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Analysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros, Thomas Bocklitz   +3 more
wiley   +1 more source

Adaptive Multiobjective Evolutionary Generative Adversarial Network for Metaverse Network Intrusion Detection. [PDF]

Research (Wash D C)
Xu D, Cao B.
europepmc   +1 more source

Autoencoder-Combined Generative Adversarial Networks for Synthetic Image Data Generation and Detection of Jellyfish Swarm

, 2018
Kyukwang Kim, Hyun Myung
openalex   +1 more source

Latent Diffusion Models for Virtual Battery Material Screening and Characterization

Batteries &Supercaps, EarlyView.
A newly developed virtual tool is designed to enhance the extraction of meaningful information from characterization technique data and effectively guides the screening of target battery materials based on functional requirements. Efficient characterization of battery materials is fundamental to understanding the underlying electrochemical mechanisms ...
Deepalaxmi Rajagopal, Arnd Koeppe, Adrian Cierpka, Britta Nestler   +3 more
wiley   +1 more source

Novel conditional tabular generative adversarial network based image augmentation for railway track fault detection. [PDF]

PeerJ Comput Sci
Raza A, Sehar R, Moiz A, Alluhaidan AS, El-Rahman SA, AbdElminaam DS.   +5 more
europepmc   +1 more source

Mining Chemical Space with Generative Models for Battery Materials

Batteries &Supercaps, EarlyView.
Revolutionizing Li‐ion battery material discovery with MatterGen, a foundational generative AI model for crystal structure inverse design. Explored stable, unique, and novel compositions and their analysis with respect to the state‐of‐the‐art databases, followed by DFT validation, provides a new direction for accelerating materials discovery ...
Chiku Parida, Diptendu Roy, Juan Maria García Lastra, Arghya Bhowmik   +3 more
wiley   +1 more source

MAMBA-BASED RESIDUAL GENERATIVE ADVERSARIAL NETWORK FOR FUNCTIONAL CONNECTIVITY HARMONIZATION DURING INFANCY. [PDF]

Proc IEEE Int Symp Biomed Imaging
Xia W, Zhang X, Hu D, Cheng J, Yin W, Wu Z, Wang L, Lin W, Li G.   +8 more
europepmc   +1 more source

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification

, 2018
Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda   +2 more
openalex   +2 more sources