Results 101 to 110 of about 4,805,610 (298)

Estimativa do Afilamento do Fuste de Araucária Utilizando Técnicas de Inteligência Artificial

Floresta e Ambiente, 2017
RESUMO O objetivo deste estudo foi comparar o desempenho de técnicas de inteligência artificial com funções de afilamento e avaliar a contribuição da idade nessa estimativa. O conjunto de dados foi composto por 135 observações, abrangendo as idades de 6,
Ana Paula Marques Martins, Aline Bernarda Debastiani, Allan Libanio Pelissari, Sebastião do Amaral Machado, Carlos Roberto Sanquetta   +4 more
doaj   +1 more source

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

Advanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao, Na Zhou, Ruotong Liu, Xiaofei Li, Jian Li, Fuzhong Xue, Qingzhen Hou   +6 more
wiley   +1 more source

A comparison of Multiple Non-linear regression and neural network techniques for sea surface salinity estimation in the tropical Atlantic ocean based on satellite data

ESAIM: Proceedings and Surveys, 2015
Using measurements of Sea Surface Salinity and Sea Surface Temperature in the Western Tropical Atlantic Ocean, from 2003 to 2007 and 2009, we compare two approaches for estimating Sea Surface Salinity : Multiple Non-linear Regression ...
Moussa H., Benallal M. A., Goyet C., Lefevre N., EL Jai M. C., Guglielmi V., Touratier F.   +6 more
doaj   +1 more source

Physical parameter optimization method for earth system model based on multi-layer perceptron surrogate model

Dianzi Jishu Yingyong, 2019
The uncertainty of physical parameters in earth system models has a huge impact on the performance of climate simulations. Tuning physical parameters is critical to improving the accuracy of climate predictions.
Wu Li, Huang Xin, Xue Wei
doaj   +1 more source

Machine Learning‐Driven Design of Multicomponent Bone Inorganic Matrix Mimicking Scaffolds for Osteogenesis Enhanced by Neurogenesis

Advanced Science, EarlyView.
Schematic illustration of development of experimental datasets and algorithm models, screening and preparation of the scaffolds and their applications in vivo. ABSTRACT Bone defects require materials with osteogenic, neurogenic, and angiogenic activity, yet designing such materials within high‐dimensional compositional spaces remains challenging. Here,
Kunlu Lin, Ying Yang, Chuyao Zhou, Hanyue Mao, Zhiquan Zhang, Libangxi Liu, Xiaoying Yu, Haoming Liu, Long Liu, Xiaoyan Wang   +9 more
wiley   +1 more source

2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]

, 2014
This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi, Jin Tang, Yan Gao, Tang, Jin, Gao, Yan, Jian Luo, Tardi Tjahjadi, Luo, Jian   +7 more
core   +1 more source

Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes

Advanced Science, EarlyView.
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley   +1 more source

A Bioinspired, Multimodal Soft Tactile Skin with Task‐Adaptive Perception for Intelligent Robotic Manipulation

Advanced Science, EarlyView.
Perception in robotic manipulation improves through the cooperative and complementary operation of biologically inspired multimodal tactile sensors. Receptor‐specific contribution analysis identifies which sensing modalities are required for specific tactile tasks.
Yu‐Jin Lee, Hyeonung Kang, Ju Yeon Woo, Daekyum Kim, Chang‐Soo Han   +4 more
wiley   +1 more source

Penerapan Multi-Layer Perceptron dan Diskrit pada Prediksi Cacat Software

Journal of Information and Technology
Cacat perangkat lunak merupakan salah satu penyebab utama limbah teknologi informasi hal ini menjadi tantangan utama dalam pengembangan perangkat lunak karena dapat menurunkan kualitas perangkat lunak itu sendiri.
Dede Wintana, Gunawan Gunawan, Hamdun Sulaeman, Saeful Bahri   +3 more
doaj   +1 more source

Semidefinite Programming by Perceptron Learning

, 2003
We present a modified version of the perceptron learning algorithm (PLA) which solves semidefinite programs (SDPs) in polynomial time. The algorithm is based on the following three observations: (i) Semidefinite programs are linear programs with ...
Thore Graepel, Ralf Herbrich, Andriy Kharechko, Kharechko, Andriy, Shawe-Taylor, John, John Shawe-taylor, Graepel, Thore, Herbrich, Ralf   +7 more
core