用户名  找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Innovative Methods in Computer Science and Computational Applications in the Era of Industry 5.0; Proceedings of the 5 D. Jude Hemanth,Utku

[复制链接]
楼主: 召唤
发表于 2025-3-23 12:54:53 | 显示全部楼层
Developing a Comprehensive Emotion Lexicon for Turkish,n were generated individually. A cross-validation study was conducted to compare the emotion assignments from the study and ChatGPT. The results of the study indicated that the emotion lexicon displayed a high accuracy when applied to textual data. A consensus was reached by four individuals regardi
发表于 2025-3-23 17:31:29 | 显示全部楼层
A Hyper-Heuristic Approach to Solving Vehicle Routing Problem in Military Logistics Distribution,apping and determining the soldier’s location, RoboFlow API was applied for learning and processing the physical conditions of the current location, and C# along with Microsoft SQL Server program was used for the development of the web application. The application consists of two stages. In the firs
发表于 2025-3-23 20:25:28 | 显示全部楼层
Electricity Price Forecasting Using Automatic Programming Methods,y honeybees. Other methods are Genetic Programming (GP), which is developed by genetic operators such as crossover and mutation and Immune Plasma Programming (IPP) inspired by plasma therapy. The main findings of the study show that AP methods can be effectively applied to complex problems such as E
发表于 2025-3-24 01:40:59 | 显示全部楼层
Ethical Considerations and Challenges of AI Adoption in Project Management,anagement, with 81% of professionals acknowledging its impact. Furthermore, Gartner predicts that AI will significantly reduce the project management workload by 80% by 2030. To delve deeper into the ethical considerations and challenges linked to AI adoption in project management, the author conduc
发表于 2025-3-24 06:01:00 | 显示全部楼层
发表于 2025-3-24 10:10:06 | 显示全部楼层
Analyzing Bias in Machine Learning Models: Insights from the AlexNet Architecture on Balanced and Ir to create a test environment suitable for the study, MNIST data sets were used as a balanced dataset and MNIST data sets as an unbalanced data set. The AlexNet algorithm was used to work with these data sets and the obtained mathematical results were examined. The recognition performance of AlexNe
发表于 2025-3-24 14:27:33 | 显示全部楼层
Ghost-Free High Dynamic Range Imaging Based on Two-Stage Dense Image Alignment,igh exposure images as input and uses a convolutional neural network (CNN) to generate HDR images. To evaluate our method, we performed experiments by merging datasets from SIG17 and ICCP19. Quantitative experiments show a significant improvement over the state-of-the-art method, with an increase of
发表于 2025-3-24 15:31:50 | 显示全部楼层
发表于 2025-3-24 22:48:05 | 显示全部楼层
发表于 2025-3-25 01:28:58 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-6-16 05:15
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表