Results 201 to 210 of about 221,929 (334)

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

open access: yesAnalysis &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   +3 more
wiley   +1 more source

Forecasting the diabetic retinopathy progression using generative adversarial networks. [PDF]

open access: yesCommun Med (Lond)
Qiao H   +14 more
europepmc   +1 more source

Generating Realistic Training Images Based on Tonality-Alignment Generative Adversarial Networks for Hand Pose Estimation [PDF]

open access: green, 2018
Liangjian Chen   +7 more
openalex   +1 more source

Latent Diffusion Models for Virtual Battery Material Screening and Characterization

open access: yesBatteries &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   +3 more
wiley   +1 more source

Mining Chemical Space with Generative Models for Battery Materials

open access: yesBatteries &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   +3 more
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, EarlyView.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

Towards Rapid Calibration of Bioprocess Quantification Models Using Single Compound Raman Spectra: A Comparison of Four Approaches

open access: yesBiotechnology and Bioengineering, EarlyView.
ABSTRACT In‐line Raman spectroscopy combined with accurate quantification models can offer detailed real‐time insights into a bioprocess by monitoring key process parameters. However, traditional approaches for model calibration require extensive data collection from multiple bioreactor runs, resulting in process‐specific models that are sensitive to ...
Maarten Klaverdijk   +3 more
wiley   +1 more source

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