检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Guo, Liya Wang, Zun Liu, Chang Li, Junzhe Hu, Pipi Zhu, Yi Yau Mathematical Sciences Center Tsinghua University Department of Mathematical Sciences Tsinghua University Beijing China Microsoft Research AI4Science Beijing China School of Computer Science Peking University Beijing China Yau Mathematical Sciences Center Tsinghua University Yanqi Lake Beijing Institute of Mathematical Sciences and Applications Beijing China

The ensemble average of physical properties of molecules is closely related to the distribution of molecular conformations, and sampling such distributions is a fundamental challenge in physics and chemistry. Traditional methods like molecular dynamics (MD) simulations and Markov chain Monte Carlo (MCMC) sampling are commonly used but can be time-consuming and costly. Recently, diffusion models have emerged as efficient alternatives by learning the distribution of training data. Obtaining an unbiased target distribution is still an expensive task, primarily because it requires satisfying ergodicity. To tackle these challenges, we propose Potential Score Matching (PSM), an approach that utilizes the potential energy gradient to guide generative models. PSM does not require exact energy functions and can debias sample distributions even when trained on limited and biased data. Our method outperforms existing state-of-the-art (SOTA) models on the Lennard-Jones (LJ) potential, a commonly used toy model. Furthermore, we extend the evaluation of PSM to high-dimensional problems using the MD17 and MD22 datasets. The results demonstrate that molecular distributions generated by PSM more closely approximate the Boltzmann distribution compared to traditional diffusion models. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

来源：评论

学校读者我要写书评

暂无评论

Relative magnetic field and slipping effect on Casson dusty fluid of two phase fluctuating flow over inclined parallel plate

引用

South African Journal of Chemical Engineering 2023年 44卷 135-146页

作者： khan, Dolat Kumam, Poom Kumam, Wiyada Suttiarporn, Panawan Rehman, Ali Fixed Point Research Laboratory Fixed Point Theory and Applications Research Group Center of Excellence in Theoretical and Computational Science (TaCS-CoE) Faculty of Science King Mongkut's University of Technology Thonburi (KMUTT) 126 Pracha Uthit Rd. Bang Mod Bangkok Thung Khru 10140 Thailand Center of Excellence in Theoretical and Computational Science (TaCS-CoE) Faculty of Science King Mongkut's University of Technology Thonburi (KMUTT) 126 Pracha Uthit Rd. Bang Mod Bangkok Thung Khru 10140 Thailand Applied Mathematics for Science and Engineering Research Unit (AMSERU) Program in Applied Statistics Department of Mathematics and Computer Science Faculty of Science and Technology Rajamangala University of Technology Thanyaburi (RMUTT) Pathum Thani 12110 Thailand Faculty of Science Energy and Environment King Mongkut's University of Technology North Bangkok Rayong Campus Rayong 21120 Thailand Special Interest Group for Modelling and Data Analytics Faculty of Ocean Engineering Technology and Informatics Universiti Malaysia Terengganu Terengganu Kuala Nerus 21030 Malaysia

Due to its significant applications in magnetic devices for cell separation, magnetic drugs for cancer tumor treatment, blood flow adjustment during surgery, magnetic endoscopy, and fluid pumping in industrial and engineering processes, magnetohydrodynamics (MHD) has a wide range of applications. Therefore, the aim of this study to investigate the Relative Magnetic Field and slipping effect on Casson dusty fluid of two-phase fluctuating flow over inclined parallel plate. More exactly, the relative magnetic phenomena are fixed relatively to the plate (MFFRP) or fixed relatively to the fluid (MFFRF). The mathematical modeling was established as the set of partial differential equations for dusty Casson fluid. Buckingham's pi theorem is used to find out the dimensionless variables, to make our system dimensionless. The solution in perturb form is to find out by incorporating Poincare–Lighthill perturbation technique (PLPT). To know in-depth different parameters the graphical results for both velocities are plotted with the help of software Mathcad- 15. It is clearly detected that the relative magnetic field performs a vital part in the fluid as well as particle motion. Moreover, the relative magnetic field play a vital role in the decreasing of skin friction of both plates. © 2023

关键词： Brinkman fluid Dust particles Fluctuating vertical plate Inclined relative magnetic field PLPT

来源：评论

学校读者我要写书评

暂无评论

3D Object Classification with Selective Multi-View Fusion and Shape Rendering

3D Object Classification with Selective Multi-View Fusion an...

引用

Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： Mona Alzahrani Muhammad Usman Randah Alharbi Saeed Anwar Ajmal Mian Tarek Helmy Department of Information & Computer Science KFUPM Dhahran Saudi Arabia College of Computer and Information Sciences Jouf University Sakaka Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence KFUPM Dhahran Saudi Arabia Center for Intelligent Secure Systems KFUPM Dhahran Saudi Arabia The Australian National University Australia University of Canberra Australia University of Western Australia Perth Australia

ISBN: (数字)9798350379037

ISBN: (纸本)9798350379044

3D classification is complex and challenging because of high-dimensional data, the intricate nature of their spatial relationships, and viewpoint variations. We fill the gap in view-based 3D object classification by examining the factors that influence classification's effectiveness via determining their respective merits in feature extraction for 3D object recognition by comparing CNN-based and Transformer-based backbone networks side-by-side. Our research extends to evaluating various fusion strategies to determine the most effective method for integrating multiple views and ascertain the optimal number of views that balances classification and computation. We also probe into the effectiveness of different feature types from rendering techniques in accurately depicting 3D objects. This investigation is supported by an extensive experimental framework, incorporating a diverse set of 3D objects from the ModelNet40 dataset. Finally, based on the analysis, we present a Selective Multi-View deep model (SelectiveMV) that shows efficient performance and provides high accuracy given a few views.

关键词： Solid modeling Three-dimensional displays Accuracy Shape High dimensional data Computational modeling Rendering (computer graphics) Transformers Object recognition Probes

来源：评论

学校读者我要写书评

暂无评论

Rule-based and prediction-based computer-generated Feedback in Online Courses

Rule-based and prediction-based computer-generated Feedback ...

引用

International Conference on Advanced Learning Technologies (ICALT)

作者： Sylvio Rüdian Clara Schumacher Michael Hanses Jakub Kuzilek Niels Pinkwart Department of Computer Science Humboldt-University of Berlin Berlin Germany Department of Educational Sciences Digital Education University of Potsdam Potsdam Germany Center of Advanced Technology for Assisted Learning and Predictive Analytics University Hagen Hagen Germany German Research Center for Artificial Intelligence Educational Technology Lab Berlin Germany

computer-generated feedback can be created manifold. This paper compares two approaches for generating feedback: rule-based and prediction-based. Both approaches have several advantages and disadvantages, which are di... 详细信息

ISBN: (数字)9798350362053

ISBN: (纸本)9798350362060

关键词： Manifolds Computational modeling

来源：评论

学校读者我要写书评

暂无评论

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network

arXiv

引用

arXiv 2024年

作者： Wen, Jie Zhang, Zheng Xu, Yong Zhang, Bob Fei, Lunke Xie, Guo-Sen Bio-Computing Research Center Harbin Institute of Technology Shenzhen Shenzhen China Shenzhen Key Laboratory of Visual Object Detection and Recognition Shenzhen China Pengcheng Laboratory Shenzhen China Department of Computer and Information Science University of Macau Taipa China School of Computer Science and Technology Guangdong University of Technology Guangzhou China Inception Institute of Artificial Intelligence Abu Dhabi United Arab Emirates

In recent years, incomplete multi-view clustering, which studies the challenging multi-view clustering problem on missing views, has received growing research interests. Although a series of methods have been proposed to address this issue, the following problems still exist: 1) Almost all of the existing methods are based on shallow models, which is difficult to obtain discriminative common representations. 2) These methods are generally sensitive to noise or outliers since the negative samples are treated equally as the important samples. In this paper, we propose a novel incomplete multi-view clustering network, called Cognitive Deep Incomplete Multi-view Clustering Network (CDIMC-net), to address these issues. Specifically, it captures the high-level features and local structure of each view by incorporating the view-specific deep encoders and graph embedding strategy into a framework. Moreover, based on the human cognition, i.e., learning from easy to hard, it introduces a self-paced strategy to select the most confident samples for model training, which can reduce the negative influence of outliers. Experimental results on several incomplete datasets show that CDIMC-net outperforms the state-of-the-art incomplete multi-view clustering methods. © 2024, CC BY.

关键词： Statistics

来源：评论

学校读者我要写书评

暂无评论

Tradutor: Building a Variety Specific Translation Model 39

Tradutor: Building a Variety Specific Translation Model

引用

39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025

作者： Sousa, Hugo Almasian, Satya Campos, Ricardo Jorge, Alípio Faculty of Sciences University of Porto Porto Portugal INESC TEC Porto Portugal Institute of Computer Science Heidelberg University Germany Department of Informatics University of Beira Interior Covilhã Portugal Ci2 - Smart Cities Research Center Tomar Portugal

ISBN: (纸本)157735897X

Language models have become foundational to many widely used systems. However, these seemingly advantageous models are double-edged swords. While they excel in tasks related to resource-rich languages like English, they often lose the fine nuances of language forms, dialects, and varieties that are inherent to languages spoken in multiple regions of the world. Languages like European Portuguese are neglected in favor of their more popular counterpart, Brazilian Portuguese, leading to suboptimal performance in various linguistic tasks. To address this gap, we introduce the first open-source translation model specifically tailored for European Portuguese, along with a novel dataset specifically designed for this task. Results from automatic evaluations on two benchmark datasets demonstrate that our best model surpasses existing open-source translation systems for Portuguese and approaches the performance of industry-leading closed-source systems for European Portuguese. By making our dataset, models, and code publicly available, we aim to support and encourage further research, fostering advancements in the representation of underrepresented language varieties. © 2025, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Open systems

来源：评论

学校读者我要写书评

暂无评论

Process Flow and Design Optimization of a Microbolometer

Process Flow and Design Optimization of a Microbolometer

引用

International Conference on Electrical Information and Communication Technology (EICT)

作者： Mukti Rana Abdulaziz T. Almaktoom Division of Physics Engineering Mathematics and Computer Sciences and Optical Science Center for Applied Research Delaware State University Dover USA Department of Operations and Supply Chain Management Jeddah Kingdom of Saudi Arabia

Microbolometers using a-Si 0.15 Ge 0.85 O 0.0236 thin films were fabricated using radio frequency magnetron sputtering and lift of technique. When a 200 nm-thick and 40 × 40 μm 2 Si 0.15 Ge 0.85 O 0.0236 pixels on top of the electrode arm was used, it was observed that the electrode arms and the pixels were wrapped after they were subjected to the surface micromachining process. In order to fix this problem, the design and process flow of the microbolometer array were optimized to obtain mechanically stable microbolometers. We used Ge x Si 1-x O y , silicon nitride, NiCr and silicon nitride to provide mechanical strength and stability to the microbolometer pixels. With the modified structure and process flow optimization it was found that the detectors of bridge structure were suspended on top of the substrate. We performed forming gas passivation at 250 o C for seven hours to minimize the 1/f-noise. A temperature coefficient of resistance (TCR) of 4.8%/K was obtained at 295 K. We obtained the highest detectivity and responsivity values 1 × 10 4 V/W and 8.3 × 10 6 cm-Hz 1/2 /W.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Distributed Service Discovery over Heterogeneous Robotic Systems-of-Systems

Distributed Service Discovery over Heterogeneous Robotic Sys...

引用

International Conference on Distributed Computing in Sensor Systems (DCOSS)

作者： Leonardo Montecchiari Angelo Trotta Lorenzo Gigli Lorenzo Bellone Marco Di Felice Enrico Natalizio Department of Computer Science and Engineering University of Bologna Italy Advanced Research Center on Electronic Systems “Ercole De Castro” University of Bologna Italy Technology Innovation Institute (TII) United Arab Emirates

In robotic swarms, nodes must cooperate in order to accomplish complex tasks. Robot interactions may occur at run-time based on the dynamic network topology and on mission-specific goals. For this reason, service discovery mechanisms are fundamental in order to inform each robot about the functionalities offered by the other peers. Although several network discovery protocols have been proposed so far, none of them fits the unique characteristics of robotic swarms in terms of dynamic topology, communication heterogeneity, and latency requirements. In this paper, we fill such gap by designing, implementing and evaluating a novel service discovery mechanisms for generic Robotic Systems-of-Systems (RSoS). The study proposes algorithmic and practical contributions. Regarding the first, we describe a novel distributed service discovery algorithm for RSoS which adapts to highly mobile robotic environments while limiting the network overhead and latency. Regarding the latter, we implemented the proposed algorithm within the Uhura swarm robotics framework; as a result, our solution is able to support multi-radio scenarios where robots are provided with heterogeneous Machine-to-Machine (M2M) communication technologies. In addition, we validate our solution through large-scale simulations and a test-bed in which ground robots are able to discover a Federated Learning (FL) task and join it at run-time to improve the accuracy.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Tradutor: Building a Variety Specific Translation Model

arXiv

引用

arXiv 2025年

关键词：

来源：评论

学校读者我要写书评

暂无评论

Assessing the Limitations of Large Language Models in Clinical Fact Decomposition

arXiv

引用

arXiv 2024年

作者： Munnangi, Monica Swaminathan, Akshay Fries, Jason Alan Jindal, Jenelle Narayanan, Sanjana Lopez, Ivan Tu, Lucia Chung, Philip Omiye, Jesutofunmi A. Kashyap, Mehr Shah, Nigam Khoury College of Computer Sciences Northeastern University United States Center for Biomedical Informatics Research Stanford University United States Department of Biomedical Data Science Stanford Health Care Department of Medicine Clinical Excellence Research Center United States Department of Anesthesiology Perioperative & Pain Medicine Department of Dermatology Technology and Digital Solutions Stanford Health Care Stanford School of Medicine United States

Verifying factual claims is critical for using large language models (LLMs) in healthcare. Recent work has proposed fact decomposition, which uses LLMs to rewrite source text into concise sentences conveying a single piece of information, as an approach for fine-grained fact verification. Clinical documentation poses unique challenges for fact decomposition due to dense terminology and diverse note types. To explore these challenges, we present FactEHR, a dataset consisting of full document fact decompositions for 2,168 clinical notes spanning four types from three hospital systems. Our evaluation, including review by clinicians, highlights significant variability in the quality of fact decomposition for four commonly used LLMs, with some LLMs generating 2.6x more facts per sentence than others. The results underscore the need for better LLM capabilities to support factual verification in clinical text. To facilitate future research in this direction, we plan to release our code at https://***/som-shahlab/factehr. © 2024, CC BY.

关键词： Clinical research

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：