Results 51 to 60 of about 27,824 (260)

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Evaluating Late Blight Severity in Potato Crops Using Unmanned Aerial Vehicles and Machine Learning Algorithms

Remote Sensing, 2018
This work presents quantitative prediction of severity of the disease caused by Phytophthora infestans in potato crops using machine learning algorithms such as multilayer perceptron, deep learning convolutional neural networks, support vector regression,
Julio M. Duarte-Carvajalino, Diego F. Alzate, Andrés A. Ramirez, Juan D. Santa-Sepulveda, Alexandra E. Fajardo-Rojas, Mauricio Soto-Suárez   +5 more
doaj   +1 more source

Cleft prediction before birth using deep neural network

Health Informatics Journal, 2020
In developing countries like Pakistan, cleft surgery is expensive for families, and the child also experiences much pain. In this article, we propose a machine learning–based solution to avoid cleft in the mother’s womb.
Numan Shafi, Faisal Bukhari, Waheed Iqbal, Khaled Mohamad Almustafa, Muhammad Asif, Zubair Nawaz   +5 more
doaj   +1 more source

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Achieving High‐Density and Stress‐Resilient Maize Breeding Via Germplasm Innovation

Advanced Science, EarlyView.
Global population growth and climate change have exacerbated the global food crisis. This perspective presents a conceptual framework focusing on enhancing population advantages. Several novel breeding objectives are proposed to improve density tolerance and stress resistance for yield improvement.
Xinlong Li, Yongqiang Chen, Dong Ding, Xuehai Zhang, Xuxiang Jia, Zhanhui Zhang, Yafei Wang, Weihua Li, Hui Zhang, Jihua Tang   +9 more
wiley   +1 more source

Remote sensing tree classification with a multilayer perceptron [PDF]

PeerJ, 2019
To accelerate scientific progress on remote tree classification—as well as biodiversity and ecology sampling—The National Institute of Science and Technology created a community-based competition where scientists were invited to contribute informatics ...
G Rex Sumsion, Michael S. Bradshaw, Kimball T. Hill, Lucas D.G. Pinto, Stephen R. Piccolo   +4 more
doaj   +2 more sources

Ambipolar Organic–Inorganic Heterostructure Transistor Array for Integrated Visual Information Processing

Advanced Science, EarlyView.
We present an organic–inorganic heterostructure transistor array for neuromorphic computing, achieving 95.6% MNIST accuracy and 1.2 fJ per operation, with dynamic spatiotemporal encoding and precise vehicle direction detection under combined optical and electrical stimulation.
Wen‐Min Zhong, Wenbin Zhang, Yu‐Xiang Zeng, JiYu Zhao, Ziqi Jia, Loganathan Veeramuthu, Guanglong Ding, Yan Yan, Meng Zhang, Su‐Ting Han, Vellaisamy A. L. Roy, Fengyun Wang, Chi‐Ching Kuo, Ye Zhou   +13 more
wiley   +1 more source

Channel Equalization Using Multilayer Perceptron Networks [PDF]

Mehran University Research Journal of Engineering and Technology, 2012
In most digital communication systems, bandwidth limited channel along with multipath propagation causes ISI (Inter Symbol Interference) to occur. This phenomenon causes distortion of the given transmitted symbol due to other transmitted symbols.
Saba Baloch, Javed Ali Baloch, Mukhtiar Ali Unar   +2 more
doaj  

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source

Air Pollutant Concentration Forecasting with WTMP: Wavelet Transform-Based Multilayer Perceptron

Atmosphere
Atmospheric pollutants’ real-time changes and the internal interactions among various data make it challenging to efficiently predict concentration variations.
Xiaoling Wang, Liangzhao Tao, Mingliang Fu, Qi Wang   +3 more
doaj   +1 more source