Results 81 to 90 of about 16,073 (260)
DOM: Dual Optical Mapping Integrating Sequence‐Specific Barcodes and A/T Density Profiles
Small Methods, EarlyView.Dual Optical Mapping (DOM) combines sequence‐specific barcodes and an A/T profile to generate complementary genomic signatures along single DNA molecules. The integration of sparse and dense mapping information enables accurate and confident genome mapping, facilitating reliable localization of long DNA molecules in complex genomes, including the ...
Jaeyoung Bae +10 more
wiley +1 more source
Cuda-Gen： An API-knowledge-graph coverage-driven fuzzing framework for CUDA libraries
四川大学学报. 自然科学版In the AI-driven era， NVIDIA CUDA libraries have become indispensable for accelerating compute-intensive tasks， yet their security assessment remains critically understudied due to closed-source code and unique program.gming paradigms.Existing efforts ...
SONG Jiyang +5 more
doaj
Denoise Stepwise Signals by Diffusion Model‐Based Approach
Small Methods, EarlyView.This work presents SSDM, a diffusion‐model‐based framework for denoising stepwise signals in single‐molecule measurements. By learning the statistical structure of state transitions and noise, SSDM reconstructs signal levels and identifies transition time points more accurately than conventional approaches, enabling robust analysis of signals across ...
Xingdi Tong, Chenyu Wen
wiley +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
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
Optimizing OpenFOAM GPU Solvers
Труды Института системного программирования РАН, 2018 The paper presents preliminary research on improving performance of CFD simulations in OpenFOAM via offloading parts of computations (specifically, solution of linear systems) to a graphics accelerator (GPU). We present a short review of OpenFOAM package
Alexander Monakov
doaj
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
Zbornik radova Međimurskog veleučilišta u Čakovcu, 2010 CUDA je grafički procesor, nasljednik klasičnih vektorskih procesora. Procesor je izrađen od strane kompanije NVIDIA koja njime uvodi novi pojam, CUDA arhitektura. Procesor se sastoji od nekoliko stotina CUDA procesorskih jezgri i dozvoljava da i klasične aplikacije imaju mogućnost izvršavanja u paralelnom okruženju na grafičkom procesoru.
Trstenjak, Bruno +2 more
openaire +4 more sources
The performance of drones and artificial intelligence for monitoring sage‐grouse at leks
Wildlife Biology, EarlyView.Accurately monitoring sage‐grouse populations is critical for conservation, yet traditional ground‐based visual surveys face challenges in scalability and consistency, prompting the exploration of innovative drone‐based methodologies enhanced by artificial intelligence.
Lance B. McNew +2 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