Results 141 to 150 of about 106,055 (260)

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

Advanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang, Yuqi Zhang, Xuzhe Zhao, Yansong Tang, Kaichen Dong   +4 more
wiley   +1 more source

A robust direction of arrival estimation method based on the chaotic MUSIC algorithm. [PDF]

Sci Rep
Muni BK, Delwar TS, Panigrahi T, Kumar Pradhan P, Ra IH, Kim HJ, Kaur M, Hosen ASMS, Ryu JY.   +8 more
europepmc   +1 more source

Revealing the Nanoscale Morphology Changes of Polymer Electrolyte Membrane Fuel Cell Catalyst Layers due to Conditioning

Advanced Science, EarlyView.
We apply ex situ and in situ scanning transmission X‐ray microscopy to reveal the structural degradation of polymer electrolyte membrane fuel cell catalyst layers due to conditioning and thermal heating of the catalyst coated membrane. We observe a redistribution of the ionomer and carbon‐black in the catalyst layer, as well as nanoscale membrane ...
Spencer Lytle, Harsharaj B. Parmar, Jian Wang, Shohei Yamashita, Aimy Bazylak   +4 more
wiley   +1 more source

Explainable machine learning for patient-specific quality assurance in intensity-modulated radiotherapy based on anatomical structures. [PDF]

J Appl Clin Med Phys
Zhang X, Huang Y, Wang J, Zhang X, Chen H, Luo Y, Xie J, Xu Z, Xu Y.   +8 more
europepmc   +1 more source

Trustworthy Multimodal Attention Framework for Creep Rupture Life Prediction Under Data‐Scarce Conditions: A Case Study on IN718

Advanced Science, EarlyView.
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv, Dayong Wu, Ziyuan Rao, Qian Wang, Haikun Ma, Jie Kang, Wang Li, Huicong Dong, Yandong Wang, Zhinan Yang, Ru Su   +10 more
wiley   +1 more source

Predicting Post-Radiotherapy Epigenetic Age Acceleration From Pre-Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients. [PDF]

Cancer Med
Yan R, Dai G, Lin Y, Wu Y, Lu J, Bruner DW, Miller AH, Saba NF, Hu X, Xiao C.   +9 more
europepmc   +1 more source

A NOVEL APPROACH FOR OPTIMIZING RMSE, MSE, PSNR, AND SSIM IN IMAGE PROCESSING

Image quality assessment is a critical aspect of digital image processing, where metrics such as Root Mean Square Error (RMSE), Mean Square Error (MSE), Peak Signal-to-Noise Ratio (PSNR), and Structural Similarity Index Measure (SSIM) are widely used to evaluate the performance of image enhancement, compression, and restoration techniques.
openaire   +2 more sources

Conditionally Significant eQTL and TWAS Analyses Identify MsRD26 as a Major Candidate Positive Regulator of Salt Tolerance in Medicago sativa L

Advanced Science, EarlyView.
Salt stress significantly impacts plant growth. Through population transcriptome, eQTL and TWAS analyses, we identified several candidate genes potentially associated with salt stress response. Functional assays suggested that some of these genes may contribute to salt tolerance.
Lin Chen, Yuqi Zhang, Xinyue Ma, Jinpeng Bi, Fei He, Li Zhao, Haiyue Lei, Zhengqin Xiao, Xue Wang, Tiejun Zhang, Ruicai Long, Junmei Kang, Qingchuan Yang   +12 more
wiley   +1 more source

Deep learning models to predict mammographic density jointly on standard dose and low dose images. [PDF]

Br J Radiol
Squires S, Mackenzie A, Evans DG, Howell SJ, Astley SM.   +4 more
europepmc   +1 more source

Lithium‐Ion Battery Safety Evaluation by Quantifying Lithium Plating Degree Based on Pressure Signals

Advanced Science, EarlyView.
Low N/P cells enable controllable lithium plating, allowing the lithium plating degree (DLi) to be quantified and linked to thermal safety. Pressure signals during calibration provide a non‐destructive route to diagnose DLi, while thermal response tests define safety levels and management strategies. The framework remains applicable in commercial 12 Ah
Haonan Liu, Jiangong Zhu, Wenyuan Weng, Bin Shen, Wenjun Fan, Yang Wang, Huapeng Lu, Wuliyasu He, Chunjing Lin, Xuezhe Wei, Haifeng Dai   +10 more
wiley   +1 more source