Learning curves depict how a model's expected performance changes with varying training
set sizes, unlike training curves, showing a gradient-based model's performance with …

Autism is a challenging brain disorder affecting children at global and national scales.
Applied behavior analysis is commonly conducted as an efficient medical therapy for …

Mobility is essential for all of us, and the daily routine of the majority is impacted by vehicular
transportation. Thus, the ability to predict traffic flow is a challenging task in the field of …

Single Source Shortest Paths ($\textrm {SSSP} $) is among the most well-studied problems
in computer science. In the incremental (resp. decremental) setting, the goal is to maintain …

Последовательности, в том числе последовательности векторов, применимы в любых
предметных областях. Последовательности скалярных значений или векторов (ряды) …

In smart manufacturing, the usage of data is crucial to enable data-based insights, analytics,
and optimizations. Quality and performance of those data-based services directly depend on …

Sequences, including vector sequences, are applicable in any subject domains. Sequences
of scalar values or vectors (series) can be produced by higher-order sequences, for …

This paper addresses the challenge of imitating the behavior of video game players using
Deep Reinforcement Learning algorithms. By training intelligent agents with algorithms such …

In response to the limitations of vision-based human posture recognition in low-light or
occluded environments, this article innovatively proposes a flexible pressure sensor array …

In the modern working environment, people are overloaded with data. We collect, store, and
process vast amounts of information for business, safety, and legal purposes. Managing this …