In 2023, new Bayesian formulations for quickest change detection in hidden Markov models were developed, providing an exact optimal solution and efficient computational methods to handle high ...

It will focus on developing and evaluating AI algorithms to improve the accuracy of cancer evaluation, including sarcoma, lung, breast, brain and prostate cancers.

This study focuses on enhancing the intelligence level of assisted living robots to meet the needs of older adults with disabilities. The goal is to achieve efficient multitarget detection of everyday ...

Abstract: Realizing unified 3D object detection, including both indoor and outdoor scenes, holds great importance in applications like robot navigation. However, involving various scenarios of data to ...

The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data - alan-turing-institute/TCPDBench ...

Background: Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovarian cancer (OV) is pivotal for successful treatment but remains a significant challenge due ...

A professionally curated list of papers (with available code), tutorials, and surveys on recent AI for Time Series Analysis (AI4TS), including Time Series, Spatio-Temporal Data, Event Data, Sequence ...