Results 21 to 30 of about 502 (96)
ABSTRACT Structural Complexity is perceived as driving cost in system development, yet managing it effectively requires empirical understanding. This study investigates human decision‐making using a toy transportation‐style network design task, focusing on how Structural Complexity, Effort, and Performance interact. Seventy‐four participants (primarily
Alfonso Lanza +3 more
wiley +1 more source
Automatic Detection and Localization of Space Hurricanes Based on Deep Learning
Abstract Space hurricanes are distinct space weather phenomena that occur during extremely quiet geomagnetic conditions, and exhibit hurricane‐like cyclonic auroral bright spot structures. This phenomenon can induce severe space weather effects, including radio communication disruptions, navigation and positioning errors, and over‐the‐horizon radar ...
Yu‐Han Li +17 more
wiley +1 more source
This study presents a lightweight and explainable ransomware detection framework using dynamic API‐call features and ensemble machine learning. The LightGBM model achieves high accuracy (AUC = 0.9937) with low false positives. SHAP‐based feature importance reveals key API behaviors enabling interpretable, efficient, and deployment‐ready ransomware ...
Zain ul Abideen Khan +4 more
wiley +1 more source
Converting Binary Floating‐Point Numbers to Shortest Decimal Strings: An Experimental Review
ABSTRACT Background When sharing or logging numerical data, we must convert binary floating‐point numbers into their decimal string representations. For example, the number π might become 3.1415927. Engineers have perfected many algorithms for producing such accurate, short strings.
Jaël Champagne Gareau, Daniel Lemire
wiley +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan +5 more
wiley +1 more source
An actionable framework for AI‐ready data
Abstract Data is the foundation of AI. Poor‐quality data drive up costs and can lead to hidden problems for AI models, especially in complex fields such as healthcare and manufacturing. Meanwhile, biased data negatively affect the performance of AI models, and untested evaluation datasets can result in false positives or overestimates of model accuracy.
Neil Majithia +3 more
wiley +1 more source
Compression‐Tension‐Asymmetry and Stiffness Nonlinearity of Collagen‐Matrigel Composite Hydrogels
Self‐assembled collagen hydrogel matrices are widely used in tissue engineering applications. These matrices stiffen and contract laterally under tension due to fiber alignment and soften and collapse under compression due to fiber buckling. It is demonstrated that filler materials, such as Matrigel, linearize the mechanical behavior of collagen ...
David Böhringer +9 more
wiley +1 more source
Blockchain and Digital Technologies in the Telecommunications Industry
ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia +3 more
wiley +1 more source
Anonymous and Efficient Chaotic Map-Based Authentication Protocol for Industrial Internet of Things. [PDF]
Zeng D +6 more
europepmc +1 more source

