Conceptual design of a decision knowledge service model integrating a multi-agent supply relationship diagram for electric power emergency equipment [0.03%]
基于多Agent电力应急设备供应关系图的决策知识服务模型概念设计研究
Jiandong Si,Chang Liu,Jingxian Ye et al.
Jiandong Si et al.
Introduction: The decision regarding the supply of emergency equipments for power emergencies requires timeliness, efficiency, and accuracy. The multi-agent supply relationship graph, based on complex data fusion, enables...
Sliding window based rare partial periodic pattern mining algorithms over temporal data streams [0.03%]
基于滑动窗口的时空数据流稀疏周期模式挖掘算法
K Jyothi Upadhya,Ronan Lobo,Mini Shail Chhabra et al.
K Jyothi Upadhya et al.
Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, telecommunications, retail marketing, res...
Paolo Parigi,Kinga Makovi
Paolo Parigi
The climate gluing protests: analyzing their development and framing in media since 1986 using sentiment analyses and frame detection models [0.03%]
气候粘合剂抗议活动：使用情感分析和框架检测模型以来自1986年的媒体报道中分析其发展和框架属性
Markus Hadler,Alexander Ertl,Beate Klösch et al.
Markus Hadler et al.
Recent climate-related protests by social movements such as Extinction Rebellion, Just Stop Oil, and others have included actions like defacing artwork and gluing oneself to objects and streets. Using sentiment analysis and frame detection ...
Federated learning framework for IoT intrusion detection using tab transformer and nature-inspired hyperparameter optimization [0.03%]
基于_TAB_变压器和受自然启发的超参数优化的物联网入侵检测联邦学习框架
Mohamed Abd Elaziz,Ibrahim A Fares,Abdelghani Dahou et al.
Mohamed Abd Elaziz et al.
Intrusion detection has been of prime concern in the Internet of Things (IoT) environment due to the rapid increase in cyber threats. Majority of traditional intrusion detection systems (IDSs) rely on centralized models, raising significant...
Estimation of the air conditioning energy consumption of a classroom using machine learning in a tropical climate [0.03%]
机器学习在热带气候下估算教室空调能耗
Liliana Ortega-Diaz,Julian Jaramillo-Ibarra,German Osma-Pinto
Liliana Ortega-Diaz
Air conditioning energy consumption in buildings represents a considerable percentage of total energy consumption, which underlines the importance of implementing measures contributing to its reduction. Predicting energy consumption is crit...
Yves Philippe Rybarczyk
Yves Philippe Rybarczyk
Safeguarding digital livestock farming - a comprehensive cybersecurity roadmap for dairy and poultry industries [0.03%]
守护数字畜牧业——乳品和家禽行业的全面网络安全路线图
Suresh Neethirajan
Suresh Neethirajan
The rapid digital transformation of dairy and poultry farming through big data analytics and Internet of Things (IoT) innovations has significantly advanced precision management of feeding, animal health, and environmental conditions. Howev...
Lightweight and hybrid transformer-based solution for quick and reliable deepfake detection [0.03%]
一种轻量级和混合的变压器解决方案，用于快速可靠的深度伪造检测
Geeta Rani,Atharv Kothekar,Shawn George Philip et al.
Geeta Rani et al.
Introduction: Rapid advancements in artificial intelligence and generative artificial intelligence have enabled the creation of fake images and videos that appear highly realistic. According to a report published in 2022,...
Machine vision model using nail images for non-invasive detection of iron deficiency anemia in university students [0.03%]
基于机器视觉的指甲图片模型无创检测高校学生缺铁性贫血阳性率的研究
Jorge Raul Navarro-Cabrera,Miguel Angel Valles-Coral,María Elena Farro-Roque et al.
Jorge Raul Navarro-Cabrera et al.
Introduction: Iron deficiency anemia (IDA) is a global health issue that significantly affects quality of life. Non-invasive methods, such as image analysis using artificial vision, offer accessible alternatives for diagn...