Category: 7. Maths

Humans and twinned linear ANNs (collectively, ‘learners’) learned two successive tasks (task A followed by task B) and were then retested on task A (Fig. 1). Each task required learners to map six discrete inputs (plants) onto positions on a…

Wi-Fi proxy data

Wi-Fi capable devices periodically send a probe request to allow continuous connectivity through a Wi-Fi network. Counting these requests can be used as a proxy for the number of devices within a range and by inference, the number…

Rare disease detection

This section is dedicated to describing the pipeline followed for building a dataset composed of texts mentioning rare diseases. First, we depict the original source of information from which the textual data is extracted…

Overview

This section introduces a novel framework designed to address key challenges in sports-related vision and perception tasks. The increasingly data-rich environments of competitive and recreational sports have heightened the demand for…

Study design

The study was conducted in compliance with the Declaration of Helsinki (2013 revision) and reported in accordance with STARD 2015 and its STARD-AI extension⁷. This is a prospective, paired diagnostic-accuracy study comparing a…

The study constructs a new corpus for regulatory affairs in pharmaceutical industry. It comprises 1,506 documents officially published in China, both in English and Chinese. After web crawling, cleaning, and verifying the bilingual documents from…

Some defects of operations for PPHFEs

In this section, we will focus on analyzing the shortcomings of the basic operations proposed in reference²³ using several examples, especially the defects that do not satisfy closeness.

The experimental pipeline was implemented and executed on Google Collaboratory, utilizing GPU acceleration for training. The environment provided a reproducible, cloud-based setup with integrated visualization and logging. Training, validation,…

As stated previously, a secure hash function must possess strong collision resistance and produce an output that exhibits uniform distribution and sensitivity to slight changes. This chapter delves into the performance of the CPHDSD algorithm in…

AI-driven talent development model for industry-education integration

Within the context of industry-education integration, multimodal data is extensively present across various phases of both theoretical and practical instruction. In theoretical…