Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...

Introduction National essential medicines lists (NEMLs) guide medicine selection and procurement and are key tools for ...

Forensic science plays a vital role in identifying, characterizing, and quantifying physical and biological traces recovered from crime scenes — a task that ...

Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...

Why was the dataset created? Embrapa WGISD (Wine Grape Instance Segmentation Dataset) was created to provide images and annotation to study object detection and instance segmentation for image-based ...

Abstract: Recently, clustering-based methods have been the dominant solution for unsupervised person re-identification (ReID). Memory-based contrastive learning is widely used for its effectiveness in ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

Abstract: As one type of efficient unsupervised learning methods, clustering algorithms have been widely used in data mining and knowledge discovery with noticeable advantages. However, clustering ...

Safe Pro Group Inc. (Nasdaq: SPAI) ('Safe Pro” or the 'Company”), a developer of artificial intelligence (AI)-enabled defense, security, and situational awareness solutions, announced today that it ...

Digital addiction (DA) has emerged as a significant global concern, yet traditional diagnostic methods relying on self-report questionnaires face subjective bias and threshold inconsistencies. Recent ...

Google researchers published a new paper detailing a new way to catch spammers who are using generative AI to flood Google’s platform with spam and overwhelm its quality filters. While the research is ...