Results 51 to 60 of about 93,524 (286)

INB3P: A Multi‐Modal and Interpretable Co‐Attention Framework Integrating Property‐Aware Explanations and Memory‐Bank Contrastive Fusion for Blood–Brain Barrier Penetrating Peptide Discovery

Advanced Science, EarlyView.
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv, Qianyang Wu, Jian Liu, Binlu Yang, Yuanhao Li, Junlin Xu, Yajie Meng, Leyi Wei, Zilong Zhang, Quan Zou, Xiulai Li, Feifei Cui   +11 more
wiley   +1 more source

Over-sampling imbalanced datasets using the Covariance Matrix [PDF]

EAI Endorsed Transactions on Energy Web, 2020
INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets,leading to the miss-classification of the minority class. One of the state-of-the-art approaches to ”solve” thisproblem at the data level is Synthetic Minority ...
Ireimis Leguen-deVarona, Julio Madera, Yoan Martínez-López, José Hernández-Nieto   +3 more
doaj   +1 more source

Non-local Multi-continua Upscaling for Flows in Heterogeneous Fractured Media

, 2017
In this paper, we propose a rigorous and accurate non-local (in the oversampled region) upscaling framework based on some recently developed multiscale methods [10].
Chung, Eric T., Efendiev, Yalchin, Leung, Wing Tat, Vasilyeva, Maria, Wang, Yating   +4 more
core   +1 more source

Design of Single‐Atom Nanozymes for Precision Treatment of Erectile Dysfunction with Integrated Single‐Cell RNA Sequencing and Machine Learning

Advanced Science, EarlyView.
It is innovatively utilized single‐cell RNA sequencing to explore the underlying causes of diabetes mellitus‐induced erectile dysfunction, followed by machine learning‐driven design of a single‐atom nanozyme (Fe‐DMOF) for precision treatment of erectile dysfunction.
Xiang Zhou, Xi Zhang, Sihan Chen, Mengchi Yu, Yilan Hu, Chi Gan, Xianghu Meng, Long Li, Ninghong Song   +8 more
wiley   +1 more source

Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS

Advanced Science, EarlyView.
A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun, Miji Kim, Wooyeon Shin, Yongjun Park, Kanghwan Kim, Il‐Joo Cho, Jae Won Shim, Min Soo Kim, Sunwoo Lee, Jeongjin Kim, Changhyuk Lee   +10 more
wiley   +1 more source

Generalized Multiscale Finite Element Method for Elasticity Equations

, 2014
In this paper, we discuss the application of Generalized Multiscale Finite Element Method (GMsFEM) to elasticity equation in heterogeneous media. Our applications are motivated by elastic wave propagation in subsurface where the subsurface properties can
Chung, Eric T., Efendiev, Yalchin, Fu, Shubin   +2 more
core   +1 more source

Measuring Nutrition Security Using the Consumer Food Data System Datasets

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Nutrition security is an emerging concept lacking a consensus definition, conceptualization, or standardized measure. This perspectives manuscript synthesizes findings from two previously published analyses to assess the feasibility of using available measures of key dimensions of nutrition security from two Consumer Food Data System (CFDS ...
Vibha Bhargava, Jung Sun Lee, Travis A. Smith   +2 more
wiley   +1 more source

Investigating the Impact of Information Sharing in Human Activity Recognition

Sensors, 2022
The accuracy of Human Activity Recognition is noticeably affected by the orientation of smartphones during data collection. This study utilized a public domain dataset that was specifically collected to include variations in smartphone positioning ...
Muhammad Awais Shafique, Sergi Saurí Marchán   +1 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Enhanced Skin Lesion Segmentation and Classification Through Ensemble Models

Eng
This study addresses challenges in skin cancer detection, particularly issues like class imbalance and the varied appearance of lesions, which complicate segmentation and classification tasks.
Su Myat Thwin, Hyun-Seok Park
doaj   +1 more source