Results 291 to 300 of about 259,715 (355)

Markov random field modeling in the wavelet domain for image denoising

, 2005
Yanqiu Cui, Ke Wang
openalex   +2 more sources

Fault Location of Generator Stator with Single-Phase High-Resistance Grounding Fault Based on Signal Injection. [PDF]

Sensors (Basel)
Lei B, Wang Y, Yang Z, Ma L, Yang X, Guo Y, Xu S, Cheng Z.   +7 more
europepmc   +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

Wavelet Transform Based-analysis for Coulostatically Induced Transients Denoising

, 2005
ZHAO Yong-tao, 陈冬花 Chen Donghua, GUO xing-peng   +2 more
openalex   +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

Application of Wavelet Array Denoising to ESPRIT Algorithm

, 2005
Yanbo Xue, Jinkuan Wang, Zhigang Liu
openalex   +2 more sources

Seismic data denoising based on attention dual dilated CNN. [PDF]

Sci Rep
Hu H, Wei Y, Chen H, Fu X, Zhang J, Wang Q, Cai S.   +6 more
europepmc   +1 more source

Generative Deep Learning for Advanced Battery Materials

Batteries &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, Adrian Cierpka, Britta Nestler, Arnd Koeppe   +3 more
wiley   +1 more source

A Route to Design Novel Functional Peptides by Applying a Denoising Diffusional Model to mRNA Display Libraries

ChemBioChem, EarlyView.
A denoising diffusional implicit model (DDIM) is trained using sequencing data from mRNA display selections to generate novel peptide sequences. This approach integrates experimental and computational methods to efficiently design peptides with enhanced binding properties, accelerating ligand discovery.
Pearl Qi, Yash Pragnesh Gandhi, Kexin Zheng, Farzad Jalali‐Yazdi, Justin N. Ong, Terry T. Takahashi, Rajiv K. Kalia, Richard W. Roberts   +7 more
wiley   +1 more source

Denoising spatially resolved transcriptomics with consistency of heterogeneous spatial coordinates, transcription, and morphology. [PDF]

Brief Bioinform
Wang H, Gao P, Feng S, Ma X.
europepmc   +1 more source