Results 141 to 150 of about 36,993 (309)
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
The metaphorical construction of complex domains : the case of speech activity in English. [PDF]
In this article I provide an account of the way in which the domain of spoken communication is metaphorically constructed in English, on the basis of the analysis of over 450 metaphorical references to speech activity in a corpus of contemporary written ...
Semino, Elena
core
The aim of the present study is to examine all fish, fishing, and associated scenes within the art of Old Kingdom elite tombs. These associated scenes either have fish represented, depict equipment, or activities related to fish and fishing.
Michelle Keith (12307520)
core +1 more source
This paper presents a high‐speed object pose estimation method that deconstructs objects into geometric components. Inspired by human cognitive generalization, it detects these primitives and infers the 6D pose from their stable spatial configuration.
Xuyang Li +6 more
wiley +1 more source
Royal Ideology and Elite Integration in Theban Tombs as Precursors to the Amarna Period
This paper will examine how tomb chapel imagery changed to depict a state of being that marked a theological and cultural shift during the reigns of Thutmose IV and Amenhotep III. The iconography of the royal kiosk scene reflects the growing influence of
Melinda K. Hartwig
doaj +1 more source
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley +1 more source
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang +3 more
wiley +1 more source
Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang +6 more
wiley +1 more source
Encoding of natural scene statistics in the primary visual cortex of the mouse
The visual system has evolved to process ecologically relevant information in the organism’s natural environment, and thus it is believed to have adapted to its statistical properties. The most informative components of natural stimuli lie in their higher order statistical structure.
Froudarakis, E. +6 more
openaire +1 more source
An Invariance Principle for Maintaining the Operating Point of a Neuron
Sensory neurons adapt to changes in the natural statistics of their environments through processes such as gain control and firing threshold adjustment.
Zauner, Klaus-Peter +3 more
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