Results 71 to 80 of about 25,017 (253)

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Predicting COD in Effluent from Wastewater Treatment Plants Using BiLSTM with Attention Mechanism [PDF]

长江科学院院报
[Objective] The wastewater treatment process exhibits highly non-linear, time-varying, and multivariable coupling characteristics, making it difficult for traditional prediction methods to effectively capture complex spatiotemporal dependencies ...
LIU Yu, WANG Ze-xin, LÜ Chen-kai, MEI Chang-song, ZHAN Hao-dong, JIANG Yun-peng, LU Xi
doaj   +1 more source

Temperature‐Driven Emission Redistribution of Yb2+ in SrB4O7 Enables Highly Sensitive Optical Thermometry Supported by Multiple Linear Regression

Advanced Science, EarlyView.
A novel optical thermometer exploits the rare UV emission of Yb2+ ions in a SrB4O7 host, enabling highly sensitive, non‐contact temperature measurements from 80 to 420 K. The applied multiple linear regression (MLR) analysis results in a multiple increase in the resulting temperature sensitivity.
Fang Zhao, Teng Zheng, Przemysław Woźny, Miguel A. Hernández‐Rodríguez, Shiqing Xu, Inocencio R. Martín, Marcin Runowski   +6 more
wiley   +1 more source

Prediction of Metal Additively Manufactured Bead Geometry Using Deep Neural Network

Sensors
Additive Manufacturing (AM) is a pivotal technology for transforming complex geometries with minimal tooling requirements. Among the several AM techniques, Wire Arc Additive Manufacturing (WAAM) is notable for its ability to produce large metal ...
Min Seop So, Mohammad Mahruf Mahdi, Duck Bong Kim, Jong-Ho Shin   +3 more
doaj   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Integrated Water Vapor Estimation During Clear Skies Using a Ground-Based Infrared Radiometer and the Light Gradient Boosting Machine Method

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
New algorithms of retrieving atmospheric integrated water vapor (IWV) under clear-sky conditions for the infrared radiometer using linear regression, quadratic regression (QR), and light gradient boosting machine (LightGBM) methods are developed in this ...
Wenyue Wang, Catalina Medina Porcile, Wenzhi Fan, Klemens Hocke   +3 more
doaj   +1 more source

SuFEx‐Enabled Reprogramming of Flavonoids for Selective α‐Glucosidase Covalent Inhibition

Advanced Science, EarlyView.
Selective inhibition of intestinal α‐glucosidase remains limited by poor enzyme specificity and off‐target metabolic effects. Here, SuFEx click chemistry is used to reprogram natural flavonoids into covalent inhibitors with enhanced α‐glucosidase selectivity and controlled reactivity. This strategy enables effective regulation of carbohydrate digestion
Fengyu Guo, Liwei Zhang, Minlong Wang, Yanjin Du, Tianyu Zhang, Hao Chen, Jiazeng Sun, Yang Yu, Zude He, Jie An, Xiaoxu Zhang, Weilin Lin, Fazheng Ren, Pengjie Wang, Ping Liu   +14 more
wiley   +1 more source

) via point transformations

, 2016
A new systematic method to find the relative invariant differentiation operators is developed. We incorporate this new approach with Lie's infinitesimal method to study the general class y′′′ = f(x, y, y′, y′′) under general point equivalence ...
Ahmad Y. Al‐Dweik, Mahomed, F. M., Azad, H., H. Azad, Al-Dweik, Ahmad Y., M. T. Mustafa, F. M. Mahomed, Mustafa, M. T.   +7 more
core   +1 more source

Large Temperature‐invariant Anomalous Nernst Effect in Non‐collinear Antiferromagnet Mn3Pt

Advanced Science, EarlyView.
Based on the noncollinear antiferromagnetic Mn3Pt thin films, the composition‐tunable Mn‐3d orbital states directly govern the Berry curvature. As a result, a giant and temperature‐invariant anomalous Nernst coefficient of 0.71 µV/K is achieved under Mn‐rich conditions.
Pengwei Gong, Xiaolin Zhang, Wei Zhu, Mingzhi Wang, Chang Pan, Aoqi Xu, Yandong Guo, Yuheng Li, Jiaxin Chen, Yanchang Zhou, Zhong Shi, Dingfu Shao, Liang Liu, Shiming Zhou, Yicheng Guan, Ruiqing Cheng, Xuepeng Qiu   +16 more
wiley   +1 more source

CryptoMamba-SSM: Linear Complexity State Space Models for Cryptocurrency Volatility Prediction

IEEE Open Journal of the Computer Society
Cryptocurrency markets exhibit complex microstructural dynamics characterized by high-frequency volatility bursts, rapid regime switching, and long-range temporal dependencies, which expose several limitations of existing volatility forecasting ...
Xiuyuan Zhao, Jingyi Liu, Ying Wang, Jiyuan Wang   +3 more
doaj   +1 more source