Hybrid DeepSentX Framework for AI-Driven Requirements Insight and Risk Prediction in Multilingual Sports Using Natural Language Processing [0.03%]
基于深度学习的DeepSentX框架在多语言体育领域中利用自然语言处理进行需求洞察和风险预测
Suhas Alalasandra Ramakrishnaiah,Yasir Abdullah Rabi,Ananth John Patrick et al.
Suhas Alalasandra Ramakrishnaiah et al.
Engineering teams need timely signals about evolving requirements and release risk, yet multilingual fan discourse around live sports is noisy, code-switched, and saturated with sarcasm and event-driven drift. We present Hybrid DeepSentX, a...
Analysis on Research Situation of Soybean Quality Evaluation Based on Bibliometrics [0.03%]
基于文献计量的 soybean质量评价研究现状分析
Yanxia Gao,Pengju Tang,Xuhong Tang et al.
Yanxia Gao et al.
Soybeans are a high-quality vegetable protein resource and a fundamental strategic material integral to the national economy and public livelihood. To investigate the research status of soybean quality evaluation, this study analyzes releva...
Yang Wang,Tianchun Xiang,Shuai Luo et al.
Yang Wang et al.
Human activities that generate greenhouse gas emissions pose a significant threat to urban green and sustainable development. Production activities in key industrial sectors are a primary contributor to high urban carbon emissions. Therefor...
A Study of Public Opinion Reversal Recognition of Emergency Based on Hypernetwork [0.03%]
基于超网络的突发事件公众意见反转识别研究
Xuna Wang
Xuna Wang
With the rapid development of social media and online platforms, the speed and influence of emergency dissemination in cyberspace have significantly increased. The swift changes in public opinion, especially the phenomenon of opinion revers...
Optimizing Multilayer Networks Through Time-Dependent Decision-Making: A Comparative Study [0.03%]
基于时变决策优化多层网络的比较研究
Kenan Menguc,Alper Yilmaz
Kenan Menguc
This research highlights the importance of accurately analyzing real-world multilayer network problems and introduces effective solutions. Whether simulating protein-protein network, transportation network, or a social network, representati...
Deep Learning-Based Decision Support System for Nurse Staff in Hospitals [0.03%]
基于深度学习的医院护理人员决策支持系统
Jieyu Chen,Feilong He,Lihua Tang et al.
Jieyu Chen et al.
To promote the informatization management of hospital human resources and advance the application of hospital information technology. The application of deep learning (DL) technologies in health care, particularly in hospital settings, has ...
Evolutionary Trends in Decision Sciences Education Research from Simulation and Games to Big Data Analytics and Generative Artificial Intelligence [0.03%]
决策科学教育研究的进化趋势：从模拟和游戏到大数据分析及生成式人工智能
Ikpe Justice Akpan,Rouzbeh Razavi,Asuama A Akpan
Ikpe Justice Akpan
Decision sciences (DSC) involves studying complex dynamic systems and processes to aid informed choices subject to constraints in uncertain conditions. It integrates multidisciplinary methods and strategies to evaluate decision engineering ...
Cloud Resource Scheduling Using Multi-Strategy Fused Honey Badger Algorithm [0.03%]
基于多策略融合豪猪算法的云资源调度
Haitao Xie,Chengkai Li,Zhiwei Ye et al.
Haitao Xie et al.
Cloud resource scheduling is one of the most significant tasks in the field of big data, which is a combinatorial optimization problem in essence. Scheduling strategies based on meta-heuristic algorithms (MAs) are often chosen to deal with ...
Introduction to the Special Issue on Big Data and the Internet of Things in Complex Information Systems [0.03%]
关于大数据和物联网在复杂信息系统中的特刊介绍
Victor Chang,Péter Kacsuk,Gary Wills et al.
Victor Chang et al.
Editorial
Big data. 2025 Feb;13(1):1-2. DOI:10.1089/big.2024.0132 2025
Enhancing Real-Time Patient Monitoring in Intensive Care Units with Deep Learning and the Internet of Things [0.03%]
基于深度学习和物联网的重症监护病房实时患者监测的增强
Yiting Bai,Baiqian Gu,Chao Tang
Yiting Bai
The demand for intensive care units (ICUs) is steadily increasing, yet there is a relative shortage of medical staff to meet this need. Intensive care work is inherently heavy and stressful, highlighting the importance of optimizing these u...