Results 111 to 120 of about 59,338 (261)
AWT‐YOLO: Lightweight Rail Surface Defect Detection Algorithm Based on YOLOv11 Improvement
The proposed improvement route and method architecture related to this study. ABSTRACT Railway safety and operational reliability critically depend on timely and accurate inspection of rail infrastructure. Nevertheless, existing visual neural network‐based inspection methods frequently fail to achieve an optimal balance between detection accuracy and ...
Lu Liu +4 more
wiley +1 more source
Haar meager and Haar null subsets of hypergroups
AliReza Bagheri Salec +2 more
openaire +1 more source
Abstract Background Glioblastoma (GB) is an aggressive primary brain tumor with local recurrence rates exceeding 90% and a five‐year survival rate of approximately 5%. Standard treatments such as surgical resection, external beam radiotherapy (EBRT), and chemotherapy often leave residual tumor cells that are resistant to therapy.
Maram El Sabri +4 more
wiley +1 more source
Anisotropic Initial Damage and Its Effect on Tensile Response of Plain Concrete
ABSTRACT Damage is often described as isotropic, implying that a scalar value describes its initial state. However, the prior micro‐cracking pattern at points of an existing building, that is, the initial damage, may be oriented by a preload. The degradation of the Volume Element due to oriented preloads shall be described as anisotropic and ...
A. Fau +3 more
wiley +1 more source
Haar-Laplacian for Directed Graphs
This paper introduces a novel Laplacian matrix aiming to enable the construction of spectral convolutional networks and to extend the signal processing applications for directed graphs. Our proposal is inspired by a Haar-like transformation and produces a Hermitian matrix which is not only in one-to-one relation with the adjacency matrix, preserving ...
Theodor-Adrian Badea, Bogdan Dumitrescu
openaire +2 more sources
Randomized Algorithms for Streaming Low‐Rank Approximation in Tree Tensor Network Format
ABSTRACT In this work, we present the tree tensor network Nyström (TTNN), an algorithm that extends recent research on streamable tensor approximation, such as for Tucker and tensor‐train formats, to the more general tree tensor network format, enabling a unified treatment of various existing methods.
Alberto Bucci, Gianfranco Verzella
wiley +1 more source
Wavelet transform‐based AFM enables real‐time nanoscale imaging by applying wavelet analysis to raw cantilever deflection signals. It reveals non‐linear, transient and multi‐frequency dynamics beyond conventional steady‐state methods. Integrated with adaptive filtering and digital twin modelling, it produces high‐resolution, information‐rich maps of ...
Pardis Biglarbeigi +4 more
wiley +1 more source
Short‐Term Hourly Weather Forecasting Using PredRNN With Image Preprocessing
Abstract Global weather forecast models are vital tools with numerous applications, including public safety, agriculture, and transportation. Recent advancements in artificial intelligence (AI) and deep learning (DL) have shown the potential to enhance weather forecasting accuracy and speed.
Hoang Tran +9 more
wiley +1 more source
Fighting recent inflation: An empirical literature review of monetary and governmental policies
Inflation is a crucial issue for businesses and households, central banks and governments, in fact for all economic actors, as it has a strong impact on economic growth and welfare.
Christof Haar
doaj +1 more source
Mind over money: Money, overearning, and mindfulness
Abstract Previous research shows that people tend to overearn, that is, forgo leisure to work and earn beyond their needs. This results from mindless accumulation, defined as the tendency to work and earn until feeling tired rather than until having enough.
Fabian Christandl, Theresa Merholz
wiley +1 more source

