Results 101 to 110 of about 94,727 (290)

GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong, Mohammad Hossein Modirrousta, Mohammad Hossein Nasirpour, Mohammadreza Mirshekari Chargari, Fardin Mohammadi, Seyed Vahid Moravvej, Leila Rezvanishad, Mohammadreza Rezvanishad, Ivan Bakhshayeshi, Roohallah Alizadehsani, Imran Razzak, Hamid Alinejad‐Rokny, Saeid Nahavandi   +12 more
wiley   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

A safe reinforcement learning approach for autonomous navigation of mobile robots in dynamic environments

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract When deploying mobile robots in real‐world scenarios, such as airports, train stations, hospitals, and schools, collisions with pedestrians are intolerable and catastrophic. Motion safety becomes one of the most fundamental requirements for mobile robots.
Zhiqian Zhou, Junkai Ren, Zhiwen Zeng, Junhao Xiao, Xinglong Zhang, Xian Guo, Zongtan Zhou, Huimin Lu   +7 more
wiley   +1 more source

Biharmonic hypersurfaces of the 4-dimensional semi-Euclidean space Es4

, 2006
A submanifold Mrn of a semi-Euclidean space Esm is said to have harmonic mean curvature vector field if ΔH→=0→, where H→ denotes the mean curvature vector; submanifolds with harmonic mean curvature vector are also known as biharmonic submanifolds.
Kaimakamis, George, Papantoniou, Vassilis, Defever, Filip   +2 more
core   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

On The Quaternionic Normal Curves In The Semi-Euclidean Space E4

, 2016
In this paper, we define the semi-real quaternionic normal curves in four dimensional semi-Euclidean space E42. We obtain some characterizations of semi-real quaternionic normal curves in terms of their curvature functions. Moreover, we give necessary and sufficient condition for a semi-real quaternionic curve to be a semi-real quaternionic normal ...
Onder Gokmen Yildiz, Siddika Ozkaldi Karakus   +1 more
openaire   +1 more source

The Lorentzian surfaces in semi-Euclidean 4-space with index 2

Journal of Mathematical Analysis and Applications, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pei, Donghe, Kong, Lingling, Sun, Jianguo, Wang, Qi   +3 more
openaire   +1 more source

Quaternionic curves in semi-Euclidean 4-space and their applications

, 2015
Bu çalışma beş bölümden oluşmaktadır. Birinci bölümde giriş, tezin amacı ve kaynak özetleri hakkında bilgiler verilmiştir. İkinci bölümde ilerideki bölümlerde gerekli olacak temel kavramlar verilmiştir.
Ahmed, Hussein Ali
core  

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Unlocking the Multifunctional Properties of Litsea cubeba Essential Oil: Composition, Antimicrobial, Antibiofilm and Insecticidal Activities

Flavour and Fragrance Journal, EarlyView.
Unveiling the chemical and biological properties of Litsea cubeba essential oil. ABSTRACT Litsea cubeba essential oil (LCEO) is recognised for its broad spectrum of biological activities, including antimicrobial and insecticidal effects, making it a promising natural alternative to synthetic agents.
Miroslava Kačániová, Minhang Qiao, Alessandro Bianchi, Joel Horacio Elizondo‐Luevano, Anis Ben Hsouna, Rania Ben Saad, Zhaojun Ban, Li Li, Jian Lou, Wissem Mnif, Stefania Garzoli   +10 more
wiley   +1 more source