Staffing & Scheduling

Estimation of lower limb joint moments using consumer realistic wearable sensor locations and deep learning - finding the balance between accuracy and consumer viability.

We used raw data from wearable sensors in consumer-realistic locations (replicating watch, arm phone...

Single-layer KAN for deepfake classification: Balancing efficiency and performance in resource constrained environments.

Deepfakes, synthetic media created using artificial intelligence, threaten the authenticity of digit...

A Pilot Feasibility Study Exploring the Preliminary Effectiveness of an AI-Driven Virtual Human Intervention for General Practitioner Obesity Education and Communication-Skills Training.

BACKGROUND: Rising global obesity rates demand effective weight management strategies from general p...

Prediction model for postoperative urinary retention in patients undergoing totally extraperitoneal groin hernia repair.

BACKGROUND: Postoperative urinary retention remains a common complication after totally extraperiton...

Graph-based vision transformer with sparsity for training on small datasets from scratch.

Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. How...

Application of multimodal machine learning-based analysis for the biomethane yields of NaOH-pretreated biomass.

This study investigated the impact of alkaline pretreatment on the biomethane yield of Xyris capensi...

Batch gradient based smoothing L regularization for training pi-sigma higher-order networks.

A Pi-Sigma neural network (PSNN) is a kind of neural network architecture that blends the structure ...

Lossy DICOM conversion may affect AI performance.

Many pathologies have started to digitize their glass slides. To ensure long term accessibility, it ...

A simple interpolation-based data augmentation method for implicit sentiment identification.

Implicit sentiment identification tasks occupy an important place in the field of natural language p...

"How can we involve Patients?" - Students' perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care.

Medical simulation: an essential tool for training, diagnosis, and treatment in the 21st century.

BACKGROUND: Medical simulation is a global trend that improves disease interpretation, diagnostic sk...

Development and evaluation of machine learning training strategies for neonatal mortality prediction using multicountry data.

Neonatal mortality poses a critical challenge in global health, particularly in low- and middle-inco...

Harnessing technology for hope: a systematic review of digital suicide prevention tools.

This systematic review scrutinizes digital interventions in suicide prevention, telehealth, mobile a...

Estimation of compressive strength of ultra-high performance lightweight concrete (UHPLC) using neural network.

High strength and lightweight are key trends in concrete development. Achieving a balance between th...

Trends and Innovations in Tools for Processing Chromatographic Data Using Mass Spectrometry Detection: A Systematic Review.

Chromatographic data processing represents an increasing challenge in analytical science, particular...

Wristful thinking: exploring the effects of robotic rehabilitation and cross-education for persons with multiple sclerosis.

The goal of this work was to develop an adaptive rehabilitation technique using a haptic wrist robot...

Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture.

Small intracranial aneurysms (SIAs) (< 5 mm) are increasingly detected due to advanced imaging, but ...

A large-scale dataset for training deep learning segmentation and tracking of extreme weather.

As Earth's climate continues to undergo changes, it is imperative to gain understanding of how high-...

Factors influencing innovative work behavior among teachers in the higher education sectors in China: The role of work engagement as a mediator and artificial intelligence as a moderator.

The modernization of Chinese higher education relies heavily on fostering innovative work behavior (...

Machine learning for predicting and optimizing the performance of a commercial-scale anaerobic digester with diverse feedstocks and operating conditions.

The improper disposal of food waste and livestock manure poses significant environmental risks, incl...

Tracing the evolutionary pathway of SARS-CoV-2 through RNA sequencing analysis.

The COVID-19 pandemic, driven by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), h...