检索结果-内蒙古大学图书馆

1st International Conference for Women in computing, InCoWoCo 2024

作者： Kavitha, J. Gayatri, V. Rajani, R. Sharmila, L. Harilakshmi, V.S. Misba, M. School of Computing Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Geethanjali Institute of Science and Technology Department of CSE Andhra Pradesh India Department of Artifical Intelligence and Data Science Nagercoil India

ISBN: (纸本)9798331518943

Because of the increasing emphasis put on the aviation industry in as a main industry of the global transportation industry, a number of organizations depend on different flight companies to get in touch with parts of the world which may be an effective measure to control the disease from spreading to other areas of the world. However, severe conditions can actually influence airline services in a given area of operation most significantly, flight delays. In this case, service encounters took place between the airline as a large organizational sector and the individual traveling as customers. The working for this issue is to accurately expect such flight delays though enables enhanced performers while in travel in order to be fit for destinations. Disability which will be occasioned by the existence of the aforementioned impediment. Quantum machine learning is used to examine the measures that were used in building models to analyze probability of flights. Problems associated with late and early arrival and;Delays due to unfavorable weather conditions. In the initial the process of project management, in which at the planned stage of the work, we study the feasibility of integration of Support Vector Machine with Python-based linear Regression. © 2024 IEEE.

关键词： Project management

来源：评论

学校读者我要写书评

暂无评论

Towards LLM-driven Automated Verification of Best Practices in Digital Public Infrastructures

Towards LLM-driven Automated Verification of Best Practices ...

引用

2024 SICSA Workshop on Reasoning, Evaluation and Application of Large Language Models, SICSA-REALLM 2024

作者： Markovic, Milan Sripada, Somayajulu Chakrabarti, Sujit Kumar Diddigi, Raghuram Bharadwaj Department of Computing Science University of Aberdeen United Kingdom Department of Computer Science International Institute of Information Technology Bangalore India Department of Data Science and Artificial Intelligence International Institute of Information Technology Bangalore India

In this position paper, we discuss three distinct approaches for assessing risks associated with Digital Public Infrastructures (DPI) and how Large Language Models could provide automated knowledge extraction to support such analyses at scale. We further outline future research directions inspired by the domain of collective intelligence and formal verification methods. © 2024 Copyright for this paper by its authors.

关键词： Digital Public Infrastructures Formal Verification Infrastructure Analysis Large Language Model

来源：评论

学校读者我要写书评

暂无评论

Crochet-Together: Cultivating Positive Emotional Well-being with the Touch of Technology-Enhanced Learning 12

Crochet-Together: Cultivating Positive Emotional Well-being ...

引用

12th International Conference on Information and Education Technology, ICIET 2024

作者： Ramachandiran, Chandra Reka Hui, Tan Jia Mahmud, Malissa Maria Kanaparan, Geetha Subramaniam, Preethi Medi, Imran School Of Computing And Data Science Xiamen University Malaysia Sepang Malaysia School Of Education Sunway University Selanor Bandar Sunway Malaysia School Of Computing Asia Pacific University Kuala Lumpur Malaysia

ISBN: (纸本)9798350371772

Emotional well-being is a growing concern in Malaysia, and this study aims to address it by proposing the mobile application 'Crochet-Together' as a tool to promote positive emotional well-being among young adults. By leveraging the therapeutic benefits of crocheting and the Technology-Enhanced Learning, Crochet-Together serves as a platform to cultivate the hobby while nurturing emotional well-being. An online survey was conducted prior to the application's development to explore the impact of crocheting on young adults' well-being and gather user requirements. Upon development, a separate survey was done to assess users' perceived effectiveness in addressing emotional well-being and to evaluate the application's usability using the System Usability Scale. The findings suggest that engaging in crocheting has a positive impact on young adults, enhancing their mood, reducing stress, and promoting relaxation. Besides that, the study also highlights the potential of the Technology-Enhanced Learning to promote emotional well-being. The high SUS score (89) obtained underlines the favorable usability evaluation of Crochet-Together. By utilizing the insights gained, future enhancements in terms of the functionality of the tool can be made to further support these users' needs and enhance their crocheting skills and experiences amongst young crocheters. © 2024 IEEE.

关键词： Behavioral research

来源：评论

学校读者我要写书评

暂无评论

A Survey on Evolutionary Computation Based Drug Discovery

引用

IEEE Transactions on Evolutionary Computation 2024年第3期29卷 1-1页

作者： Yu, Qiyuan Lin, Qiuzhen Ji, Junkai Zhou, Wei He, Shan Zhu, Zexuan Tan, Kay Chen College of Computer Science and Software Engineering Shenzhen University Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China School of Computer Science University of Birmingham Bir-mingham UK Department of Computing The Hong Kong Poly-technic University Hong Kong Hong Kong

Drug discovery is an expensive and risky process. To combat the challenges in drug discovery, an increasing number of researchers and pharmaceutical companies recognize the benefits of utilizing computational techniques. Evolutionary computation (EC) offers promise as most drug discovery problems are essentially complex optimization problems beyond conventional optimization algorithms. EC methods have been widely applied to solve these complex optimization problems especially in lead com-pound generation and molecular virtual evaluation, substantially speeding up the process of drug discovery and development. This article presents a comprehensive survey of EC-based drug discovery methods. Particularly, a new taxonomy of the methods is provided and the advantages and limitations of the methods are reviewed. In addition, the potential future directions of EC-based drug discovery are discussed and the publicly available resources including databases and computational tools are compiled for the convenience of researchers seeking to pursue this field. IEEE

关键词： Lead compounds

来源：评论

学校读者我要写书评

暂无评论

Functional Connectivity Disruptions in Alzheimer’s Disease: A Maximum Flow Perspective 12th

Functional Connectivity Disruptions in Alzheimer’s Disease...

引用

12th International Conference on Computational Advances in Bio and Medical sciences, ICCABS 2023

作者： Stubby, Emma T. Razavi, Seyed Majid Khanmohammadi, Sina School of Computer Science University of Oklahoma Norman73019 United States Data Science and Analytics Institute University of Oklahoma Norman73019 United States

ISBN: (纸本)9783031827679

Alzheimer’s disease is a neurological disorder characterized by functional and structural atrophy, leading to symptoms like memory loss and cognitive decline. This study seeks to analyze the disruptions of functional connectivity pathways within the brain caused by Alzheimer’s disease from the maximum flow perspective. More specifically, we computed the maximum flow pathways within the functional brain networks, and compared it between healthy controls and Alzheimer’s patients. Our results suggest that the Alzheimer’s patients utilize pathways related to the default mode network (DMN) more frequently and display significant alterations in the usage of paths connected to the striate cortex (SC). The increased usage of DMN pathways might point to a compensation mechanism that facilitates interregional communications in Alzheimer’s patients. Understanding the nature of such a compensation mechanism could help develop new treatment options for Alzheimer’s patients. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Experts 41

MVMoE: Multi-Task Vehicle Routing Solver with Mixture-of-Exp...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Zhou, Jianan Cao, Zhiguang Wu, Yaoxin Song, Wen Ma, Yining Zhang, Jie Xu, Chi College of Computing and Data Science Nanyang Technological University Singapore School of Computing and Information Systems Singapore Management University Singapore Department of Information Systems Eindhoven University of Technology Netherlands Institute of Marine Science and Technology Shandong University China Singapore

Learning to solve vehicle routing problems (VRPs) has garnered much ***, most neural solvers are only structured and trained independently on a specific problem, making them less generic and *** this paper, we aim to develop a unified neural solver that can cope with a range of VRP variants ***, we propose a multi-task vehicle routing solver with mixture-of-experts (MVMoE), which greatly enhances the model capacity without a proportional increase in *** further develop a hierarchical gating mechanism for the MVMoE, delivering a good trade-off between empirical performance and computational ***, our method significantly promotes zero-shot generalization performance on 10 unseen VRP variants, and showcases decent results on the few-shot setting and real-world benchmark *** further conduct extensive studies on the effect of MoE configurations in solving VRPs, and observe the superiority of hierarchical gating when facing out-of-distribution *** source code is available at: https://***/RoyalSkye/Routing-MVMoE. Copyright 2024 by the author(s)

关键词： Vehicle routing

来源：评论

学校读者我要写书评

暂无评论

A Preliminary Investigation into Theory-Practice Barriers in Sino-New Zealand Undergraduate computing Education 17

A Preliminary Investigation into Theory-Practice Barriers in...

引用

17th International Conference on Computer Supported Education, CSEDU 2025

作者： Dai, Fei Robins, Anthony Peng, Zhihao Huang, Wanni Tan, Chiu-Pih Chen, Tianzhen School of Computing Eastern Institute of Technology Napier New Zealand School of Computing University of Otago Dunedin New Zealand EIT Data Science and Communication College Zhejiang Yuexiu University Zhejiang Shaoxing China

ISBN: (纸本)9789897587467

This paper investigates the barriers hindering the effective transition from theoretical knowledge to practical application in a Sino-New Zealand double-degree undergraduate computing programme. In this unique educational setting, students study at a campus in China but complete both Chinese and New Zealand courses taught jointly by lecturers from both countries. Through a questionnaire administered to these students, we identify critical obstacles such as insufficient foundational knowledge, language barriers, cultural and pedagogical differences, and difficulties adapting to distinct educational systems. Our analysis reveals that these barriers significantly affect students’ academic performance, engagement, and skill development. Based on the findings, we propose targeted interventions, including specialized bridging courses, enhanced language support, refined teaching methods, and improved resource allocation. Copyright © 2025 by SCITEPRESS - science and Technology Publications, Lda.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

MTSC-Net:A Semi-Supervised Counting Network for Estimating the Number of Slash pine New Shoots

引用

植物表型组学（英文） 2024年第4期6卷 953-966页

作者： Zhaoxu Zhang Yanjie Li Yue Cao Yu Wang Xuchao Guo Xia Hao College of Information Science and Engineering Shandong Agricultural UniversityTaian271018Shandong ProvinceChina Research Institute of Subtropical Forestry Chinese Academy of ForestryHangzhou 311400Zhejiang ProvinceChina School of Big Data Taishan College of Science and TechnologyTaian271034Shandong ProvinceChina

The new shoot density of slash pine serves as a vital indicator for assessing its growth and photosynthetic capacity,while the number of new shoots offers an intuitive reflection of this *** deep learning methods becoming increasingly popular,automated counting of new shoots has greatly improved in recent years but is still limited by tedious and expensive data collection and *** resolve these issues,this paper proposes a semi-supervised counting network(MTSC-Net)for estimating the number of slash pine new ***,based on the mean-teacher framework,we introduce the improved VGG19 to extract multiscale new shoot ***,to connect local new shoot feature information with global channel features,attention feature fusion module is introduced to achieve effective feature ***,the new shoot density map and density probability distribution are processed in a fine-grained manner through multiscale dilated convolution of the regression head and classification *** addition,a masked image modeling strategy is introduced to encourage the contextual understanding of global new shoot features and improve the counting *** experimental results show that MTSC-Net outperforms other semi-supervised counting models with labeled percentages ranging from 5％to 50％.When the labeled percentage is 5％,the mean absolute error and root mean square error are 17.71 and 25.49,*** findings demonstrate that our work can be used as an efficient semi-supervised counting method to provide automated support for tree breeding and genetic utilization.

关键词： network counting estimating mtsc-net number pine semi-supervised shoots slash

来源：评论

学校读者我要写书评

暂无评论

CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense 38

CausalDiff: Causality-Inspired Disentanglement via Diffusion...

引用

38th Conference on Neural Information Processing Systems, NeurIPS 2024

作者： Zhang, Mingkun Bi, Keping Chen, Wei Chen, Quanrun Guo, Jiafeng Cheng, Xueqi CAS Key Laboratory of AI Safety Institute of Computing Technology CAS China Key Laboratory of Network Data Science and Technology Institute of Computing Technology CAS China School of Statistics University of International Business and Economics China

Despite ongoing efforts to defend neural classifiers from adversarial attacks, they remain vulnerable, especially to unseen attacks. In contrast, humans are difficult to be cheated by subtle manipulations, since we make judgments only based on essential factors. Inspired by this observation, we attempt to model label generation with essential label-causative factors and incorporate label-non-causative factors to assist data generation. For an adversarial example, we aim to discriminate the perturbations as non-causative factors and make predictions only based on the label-causative factors. Concretely, we propose a casual diffusion model (CausalDiff) that adapts diffusion models for conditional data generation and disentangles the two types of casual factors by learning towards a novel casual information bottleneck objective. Empirically, CausalDiff has significantly outperformed state-of-the-art defense methods on various unseen attacks, achieving an average robustness of 86.39% (+4.01%) on CIFAR-10, 56.25% (+3.13%) on CIFAR-100, and 82.62% (+4.93%) on GTSRB (German Traffic Sign Recognition Benchmark). The code is available at https://***/CAS-AISafetyBasicResearchGroup/CausalDiff. © 2024 Neural information processing systems foundation. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

An Evaluation of Narrowpeak Quality Metrics in Chip-Seq datasets: Signalvalue, Q-Value, and Their Relationship with Chromatin Markers 24

An Evaluation of Narrowpeak Quality Metrics in Chip-Seq Data...

引用

13th International Conference on Bioinformatics and Biomedical science, ICBBS 2024

作者： Gunasekaran, Manasarow Perna, Stefano Lee, Bernett College of Computing and Data Science Nanyang Technological University Singapore Singapore Lee Kong Chian School of Medicine Nanyang Technological University Singapore Singapore

ISBN: (纸本)9798400717956

Chromatin Immunoprecipitation followed by Sequencing (ChIP-Seq) is a popular technique for detecting areas of protein-DNA binding. Transcription Factors (TFs) are one such type of DNA-binding protein. Typically, regions from ChIP-Seq are evaluated based on the observed significance of the amount of overlapping tag reads in a locus (e.g., via corrected p-value). However, one often-overlooked feature of called binding peak is the signalValue, which is the average tag read density in a location. SignalValue information is more granular than the significance level and might allow for more informative relations between binding peaks and regions of interest to be found. In this study, we first discuss the association between signalValue and q-value in bound regions (as detected by ChIP-Seq). We show that the correlation is very high (~80%). Secondly, we investigate whether either measure follows expected association trends with markers of open or closed Chromatin (such as H3K4ME3 and DNase). Surprisingly, we show a negative association between signalValue (or q-value) and DNase in regulatory regions (via Mann-Whitney U test), as well as with H3K4ME3 (although less so). We corroborated our results using underlying read counts from processed bam files, suggesting that "high-significance"ChIP-Seq regions might not associate with open chromatin as biological intuition would suggest, while chromatin repressors such as H3K27ME3 might be more reliable in the general case. © 2024 Copyright held by the owner/author(s).

关键词： Transcription

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：