In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

Objectives To systematically review the quality of reporting of pilot and feasibility of cluster randomised trials (CRTs). In particular, to assess (1) the number of pilot CRTs conducted between 1 ...

Alkane Resources Limited (ASX: ALK; TSX: ALK; OTCQX: ALKRY) (‘Alkane’ or ‘the Company’) is pleased to announce the latest exploration results for ...

Abstract: Lane detection is essential for autonomous vehicles, and vision-based lane detection is widely used in the field of intelligent driving cars because of its low cost. Aiming to solve the ...

Abstract: Recent developments in the use of credit cards for a range of daily life activities have increased credit card fraud and caused huge financial losses for individuals and financial ...

University of Washington undergraduates turned a routine sonar exercise into a discovery of more than 20 sunken vessels ...

TAR 2.0 is likely the most widely used analytic technology for reviewing large document collections for production (although ...

Experts cast doubt on conclusion of government-funded study of factory emitting forever chemicals near Blackpool ...

Introduction For non-ST-segment elevation acute coronary syndrome (NSTEACS) there is a gap between the use of class I guideline recommended therapies and clinical practice. The Global Registry of ...

The examples in this repository demonstrate how to use the Kafka Consumer, Producer, and Streaming APIs with a Kafka on HDInsight cluster. There are two projects included in this repository: ...

Polling 10,000 Americans, the Pew Research Center found divisions on the political left and right, plus the Tuned-Out Middle.

本文介绍如何构建一套文本聚类流水线，将大语言模型嵌入与基于密度的聚类算法 HDBSCAN 相结合，在无标注文本数据中自动发现主题。 当前的生成式 AI热潮，表面上似乎主要集中在聊天界面与提示词工程，但大语言模型（LLM）的实际应用范围远不止于此。