Results 101 to 110 of about 34,039 (292)
Safety Science and Technology, EarlyView.We present an AI‐assisted ground‐penetrating radar framework to noninvasively detect and quantify smoldering wildfire‐induced subsurface cavities in peatlands. A ResNet model accurately predicts cavity geometry from GPR images, enabling improved assessment of underground fire damage and hazards.
Zifan Zhang +5 more
wiley +1 more source
Foundations of Computing and Decision Sciences, 2017 This work concerns the study of 6DSLAM algorithms with an application of robotic mobile mapping systems. The architecture of the 6DSLAM algorithm is designed for evaluation of different data registration strategies.
Bedkowski Janusz +4 more
doaj +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
Systems Engineering, EarlyView.ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
ФИЛЬТРАЦИЯ И КОРРЕЛЯЦИОННАЯ ОБРАБОТКА ИЗОБРАЖЕНИЙ С ПОМОЩЬЮ ТЕХНОЛОГИИ CUDA [PDF]
, 2016 The basic concepts and specificity of the programming technology of CUDA video cards are presented. The efficiency of the technology is demonstrated on image processing tasks.
E. N. Seredin +3 more
core
DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley +1 more source
Experimental computer tomograph
Current Directions in Biomedical Engineering, 2015 The computed tomography is one of the most important medical instruments, allowing the non-invasive visualization of cross sections which are free from superpositions. Since 2000 an experimental computer tomo-graph of the third generation for the purpose
Heinemann D., Keller A., Jannek D.
doaj +1 more source
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
CUDA’s Mapped Memory to Support I/O Functions on GPU
Tsinghua Science and Technology, 2013 The API interfaces provided by CUDA help programmers to get high performance CUDA applications in GPU, but they cannot support most I/O operations in device codes.
Wei Wu +3 more
doaj +1 more source
A Spatio‐Temporal Dynamics Model for Indoor Environmental Forecasting
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Accurate forecasting of indoor environmental conditions is essential for intelligent building operations and comfort‐oriented controls. However, reliable prediction remains challenging due to spatial heterogeneity across sensing locations, complex multi‐modal interactions, and nonstationary temporal dynamics.
Goro Terumichi +3 more
wiley +1 more source
VDNeRF: Vision‐Only Dynamic Neural Radiance Field for Urban Scenes
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Neural radiance fields (NeRFs) implicitly model continuous three‐dimensional scenes using a set of images with known camera poses, enabling the rendering of photorealistic novel views. However, existing NeRF‐based methods encounter challenges in applications such as autonomous driving and robotic perception, primarily due to the difficulty of ...
Zhengyu Zou +7 more
wiley +1 more source