一大群 发表于 2025-3-28 18:16:49
http://reply.papertrans.cn/31/3085/308485/308485_41.png警告 发表于 2025-3-28 19:01:02
Lineare Gleichungssysteme, direkte Methoden,techniques. Anterior-Posterior and Lateral images are used together in this study to make identification much more accurate. The proposed system identifies five different knee implants with an accuracy of 86.25% and an Area Under curve of 0.974.Constant 发表于 2025-3-28 23:01:35
http://reply.papertrans.cn/31/3085/308485/308485_43.png不断的变动 发表于 2025-3-29 04:36:05
http://reply.papertrans.cn/31/3085/308485/308485_44.png起波澜 发表于 2025-3-29 10:01:53
http://reply.papertrans.cn/31/3085/308485/308485_45.pngGesture 发表于 2025-3-29 14:15:28
,A Framework for Knowledge Representation Integrated with Dynamic Network Analysis,hold the semantic interaction across the entities and, using links, connect them in a better representable way. In this paper, we proposed a dynamic network analysis framework for understanding the evolution of Knowledge Graphs across timelines. To validate our findings, we applied a thorough analysintelligible 发表于 2025-3-29 17:30:44
,Time Series Forecasting Using Parallel Randomized Fuzzy Cognitive Maps and Reservoir Computing,y to enhance accuracy and are well-equipped to handle uncertainty and emulate the dynamics of complex systems. The main goal of this article is to present a new randomized multiple-input multiple-output (MIMO) FCM-based forecasting technique named M-PRFCM to forecast real-world high-dimensional timeANTH 发表于 2025-3-29 23:25:15
,Review of Offensive Language Detection on Social Media: Current Trends and Opportunities,fensive language gains traction due to the high and growing scale of social media user input. In this paper, we provide an overview of the field including background and recent research with a focus on natural language processing. We present a synopsis on the ambiguity in definition and categorizatisclera 发表于 2025-3-30 01:30:42
,Text Mining and Sentimental Analysis to Distinguish Systems Thinkers at Various Levels: A Case Studsocial media analysis to explore the relationship between experts’ ST and their tweets, specifically focusing on COVID-19. Twitter is crucial for information dissemination, but misinformation can spread during a pandemic like COVID-19. By analyzing the emotional and sentimental aspects of tweets frovisceral-fat 发表于 2025-3-30 06:56:56
ADHD Prediction in Children Through Machine Learning Algorithms,diagnosed based on the presence of inattentive and hyperactive symptoms. Our objective is to identify ADHD from a Machine Learning (ML) perspective, utilizing symptom information and features such as socioeconomic status, social behavior, academic competence, and quality of life. We conducted extens