Work Force

Paper-based SERS chip with adaptive attention neural network for pathogen identification.

High-speed and accuracy identification of pathogens has become increasingly critical in both individ...

Generative Artificial Intelligence Innovations in Dental Education: Easing Faculty Workloads.

Faculty in dental and health professions education face growing workloads, leading to stress, burnou...

Res-ECA-UNet++: an automatic segmentation model for ovarian tumor ultrasound images based on residual networks and channel attention mechanism.

OBJECTIVE: Ultrasound imaging has emerged as the preferred imaging modality for ovarian tumor screen...

Training humans for synthetic face image detection.

Fake identities created using highly realistic synthetic face images have become increasingly preval...

Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.

This study explores nursing students' stress responses while they are being trained in a mixed reali...

The Creation of Artificial Data for Training a Neural Network Using the Example of a Conveyor Production Line for Flooring.

This work is dedicated to the development of a system for generating artificial data for training ne...

Artificial intelligence and the electrocardiogram: A modern renaissance.

Integrating Artificial Intelligence (AI) with electrocardiograms (ECG) represents a transformative s...

Disturbance-Aware On-Chip Training with Mitigation Schemes for Massively Parallel Computing in Analog Deep Learning Accelerator.

On-chip training in analog in-memory computing (AIMC) holds great promise for reducing data latency ...

Cognitive constraints in bilingual processing-an entropy-based discrimination between translation and second language production.

This study investigates to what extent second language production (L2) and translational production ...

Adaptive Diversity Induced Reweighting for long-tailed classification.

Real-world large-scale data often exhibit a long-tailed distribution, making a classifier difficult ...

Climate crossroads: How global warming drives coronavirus emergence, the long COVID crisis of tomorrow, and AI's role in navigating our future.

This narrative review examines the critical nexus between climate change, coronavirus emergence, and...

The DRAGON benchmark for clinical NLP.

Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but require...

Upper-Body Strength and Range of Motion Are Associated With Sprint-Paddling Force and Performance in Competitive Female and Male Surfers.

Gosney, S, Parsonage, J, Worsey, M, Keogh, J, MacDonald, L, Denny, A, and Minahan, C. Upper-body str...

AI-Driven Automated Blood Cell Anomaly Detection: Enhancing Diagnostics and Telehealth in Hematology.

Hematology plays a critical role in diagnosing and managing a wide range of blood-related disorders....

Tools and methods for cataract recognition in low-resource settings: A narrative review.

Cataracts are a leading cause of global blindness, with many low-resource populations having poor ac...

The analysis of entrepreneurship evaluation system for talent cultivation in artistic creativity and animation under artificial intelligence.

This work aims to explore the application of artistic creativity using deep learning (DL) and artifi...

Artificial Intelligence in Surgical Training and Applications to Otolaryngology: A Scoping Review.

OBJECTIVE: Traditional evaluations of surgical skills in otolaryngology rely heavily on subjective a...

The Lack of Neurofeedback Training Regulation Guidance and Process Evaluation May be a Source of Controversy in Post-Traumatic Stress Disorder-Neurofeedback Research: A Systematic Review and Statistical Analysis.

Neurofeedback (NF) based on brain-computer interface (BCI) is an important direction in adjunctive ...

Semen collection, semen analysis and artificial insemination in the kākāpō (Strigops habroptilus) to support its conservation.

The critically endangered kākāpō (Strigops habroptilus) has suffered population declines due to habi...

Unreasonable effectiveness of training AI models locally.

A controller of robot constant force grinding based on proximal policy optimization algorithm.

In order to solve the problems of high dependence on the accuracy of environmental model and poor en...