Abstract: Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

For decades, the story of urban growth has seemed almost self-writing: big cities get bigger, pull in talent and jobs, and ...

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: DC microgrids (DCMGs) are made up of a network of sources and loads that are connected by a number of power electronic converters (PECs). The increase in the number of these PECs instigates ...

aDepartment of Surgery, Regional Academic Cancer Center Utrecht, UMC Utrecht Cancer Center & St Antonius Hospital Nieuwegein, Utrecht University, Utrecht, Netherlands bDepartment of Medical Oncology, ...

Imagine standing in the emptiest place the universe has to offer, a stretch of cosmic ocean so vast that light takes tens of ...

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

Customer Segmentation project using KMeans. Visualizes clusters, compares algorithm performance, and provides insights on customer behavior for business decision-making. - Syed-Kumail-Naqvi/Custom ...

Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...

EquiLibre Technologies, a Prague-based AI lab founded by three ex-DeepMind researchers, is now valued at more than $500 ...

Social media experts say American policies, businesses and current events are jeopardising Australia’s social cohesion, with ...