Results 51 to 60 of about 60,108 (204)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Randomness as a behavioral marker of attentional control during the attention training technique and its neural correlates

Frontiers in Psychiatry
BackgroundThe Attention Training Technique (ATT) is a core intervention of metacognitive therapy (MCT) effective in reducing repetitive negative thinking by engaging the lateral prefrontal cortex (PFC).
Kristina Schwarz, Julia Lützkendorf, Franziska Giller, Tanja Endrass   +3 more
doaj   +1 more source

Time-Space Trade-Offs for Computing Euclidean Minimum Spanning Trees

, 2017
In the limited-workspace model, we assume that the input of size $n$ lies in a random access read-only memory. The output has to be reported sequentially, and it cannot be accessed or modified. In addition, there is a read-write workspace of $O(s)$ words,
Banyassady, Bahareh, Barba, Luis, Mulzer, Wolfgang   +2 more
core   +1 more source

RNG: Relightable Neural Gaussians

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
3D Gaussian Splatting (3DGS) has shown impressive results for the novel view synthesis task, where lighting is assumed to be fixed. However, creating relightable 3D assets, especially for objects with ill-defined shapes (fur, fabric, etc.), remains a challenging task.
Fan, Jiahui, Luan, Fujun, Yang, Jian, Hašan, Miloš, Wang, Beibei   +4 more
openaire   +2 more sources

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Checking Correctness of Hardware RNG Architecture Specifications [PDF]

Proceedings of the International Scientific Conference - Sinteza 2016, 2016
In this paper we will show one possible implementation of hardware randomness generator. The device in question is based on widely available electronic components comprised of double analogue comparator operating as a free running oscillator and RISC microcontroller used for post processing.
Igor Fermevc, Saša Adamović
openaire   +1 more source

On the Longest RNG Edge of Wireless Ad Hoc Networks [PDF]

2008 The 28th International Conference on Distributed Computing Systems, 2008
Relative neighborhood graph (RNG) has been widely used in topology control and geographic routing in wireless ad hoc networks. Its maximum edge length is the minimum requirement on the maximum transmission radius by those applications of RNG. In this paper, we derive the precise asymptotic probability distribution of the maximum edge length of the RNG
Wan, Peng-Jun, Wang, Lixin, Yao, Frances, Yi, Chih-Wei   +3 more
openaire   +1 more source

Targeting neutrophil extracellular traps in metabolic and immune niche: Nanomaterials for diabetes tissue regeneration

BMEMat, EarlyView.
The effects of NETs on regeneration of various diabetic tissues, and strategies targeting NETs for diabetes tissue regeneration. In the diabetic environment, NETs undergo complex metabolic and immune reprogramming, leading to dynamic changes in antibacterial and proinflammatory functions, and affecting regeneration of multiple systemic tissues.
Xinyi Jiang, Muxin Yue, Kai Mao, Boon Chin Heng, Noor Azlin Yahya, Yunsong Liu, Zheng Li   +6 more
wiley   +1 more source

CNN training with graph-based sample preselection: application to handwritten character recognition

, 2018
In this paper, we present a study on sample preselection in large training data set for CNN-based classification. To do so, we structure the input data set in a network representation, namely the Relative Neighbourhood Graph, and then extract some ...
Goto, Masanori, Rayar, Frédéric, Uchida, Seiichi   +2 more
core   +1 more source

Effect of different flue gas recirculation rates on low‐NOx combustion characteristics: A numerical simulation based on the combustion process of a gas boiler

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract NOx emissions from gas boilers severely impact the environment, and flue gas recirculation (FGR) technology can effectively reduce such emissions, yet the effects of different FGR rates on combustion performance and NOx formation remain unclear. This study thus used numerical simulation (via ANSYS Fluent, adopting the realizable k‐ε turbulence
Chao Min, Shuhao Xu, Yitao Yang, Peng Wang   +3 more
wiley   +1 more source