Staffing & Scheduling

Advancing Ligand Docking through Deep Learning: Challenges and Prospects in Virtual Screening.

Molecular docking, also termed ligand docking (LD), is a pivotal element of structure-based virtual ...

Investigation of out-of-distribution detection across various models and training methodologies.

Machine learning-based algorithms demonstrate impressive performance across numerous fields; however...

AI and the transformation of industrial work: Hybrid intelligence vs double-black box effect.

It is uncertain how the application of artificial intelligence (AI) technology transforms industrial...

Machine learning for high solid anaerobic digestion: Performance prediction and optimization.

Biogas production through anaerobic digestion (AD) is one of the complex non-linear biological proce...

ROBot-assisted physical training of older patients during acUte hospitaliSaTion-study protocol for a randomised controlled trial (ROBUST).

BACKGROUND: During hospitalisation, older patients spend most of their time passive in bed, which in...

Registered multi-device/staining histology image dataset for domain-agnostic machine learning models.

Variations in color and texture of histopathology images are caused by differences in staining condi...

Robot-assisted support combined with electrical stimulation for the lower extremity in stroke patients: a systematic review.

. The incidence of stroke rising, leading to an increased demand for rehabilitation services. Litera...

SC-SSL: Self-Correcting Collaborative and Contrastive Co-Training Model for Semi-Supervised Medical Image Segmentation.

Image segmentation achieves significant improvements with deep neural networks at the premise of a l...

Data reduction for SVM training using density-based border identification.

Numerous classification and regression problems have extensively used Support Vector Machines (SVMs)...

Automated cardiac arrhythmia detection techniques: a comprehensive review for prospective approach.

Abnormal cardiac functionality produces irregular heart rhythms which are commonly known as arrhythm...

Predicting operative time for metabolic and bariatric surgery using machine learning models: a retrospective observational study.

BACKGROUND: Predicting operative time is essential for scheduling surgery and managing the operating...

Author's reply: The importance of professional training to foster the implementation of Artificial Intelligence in the clinical setting of liver diseases.

Randomized controlled trial of the CMR immersive virtual reality (IVR) headset training compared to e-learning for operating room configuration of the CMR versius robot.

Robotic surgery offers potential advantages over laparoscopic procedures, but the training for confi...

Operating under the influence: the effect of alcohol on operative performance using a virtual robotic training platform-an experimental comparative cohort study.

An elevated percentage of medical personnel reports using alcohol to relieve stress. Levels of alcoh...

The deconstructed procedural description in robotic colorectal surgery.

Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the n...

Frequency compensated diffusion model for real-scene dehazing.

Due to distribution shift, deep learning based methods for image dehazing suffer from performance de...

Photocatalytic decomposition of metronidazole by zinc hexaferrite coated with bismuth oxyiodide magnetic nanocomposite: Advanced modelling and optimization with artificial neural network.

The objective of the present study was to employ a green synthesis method to produce a sustainable Z...

A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data.

Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the ...

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction.

With advances in protein structure prediction thanks to deep learning models like AlphaFold, RNA str...

Pathways to democratized healthcare: Envisioning human-centered AI-as-a-service for customized diagnosis and rehabilitation.

The ongoing digital revolution in the healthcare sector, emphasized by bodies like the US Food and D...

Landing and take-off capabilities of bioinspired aerial vehicles: a review.

Bioinspired flapping-wing micro aerial vehicles (FWMAVs) have emerged over the last two decades as a...