This paper proposes a new strategy for analysing and detecting abnormal passenger behavior and abnormal objects on buses. First, a library of abnormal passenger behaviors and objects on buses is ...

In recent years, with the continuous development of reinforcement learning (RL), we have seen promising results in processing continuous action RL tasks 1,2,3,4,5. In dealing with some continuous ...

Researchers have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions our DNA, which make up the vast majority of the human genome.

Assessing mortality trends among patients with lip and oral cavity cancer due to tobacco consumption: A systematic analysis of the Global Burden of Disease-2021.

A research team has developed an improved DeepLabv3+ algorithm for accurately detecting and localizing safflower filament picking points. By utilizing the lightweight ShuffleNetV2 network and ...

The U.S. Deep Learning Market is Projected to Grow from $37.14 Billion in 2025 to $596.02 Billion by 2035, While Europe is Expected to Expand from $31.98 Billion to $451.64 Billion, Fueled by Rapid ...

A new study published in PNAS Nexus by researchers at Carnegie Mellon University (CMU) demonstrates how a noninvasive brain-computer interface (BCI) powered by artificial intelligence (AI) deep ...

Overview: Recommendation algorithms study user behavior patterns to predict future choices.Netflix, Amazon, and Spotify use ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...