Staffing & Scheduling

A resonant tactile stiffness sensor for lump localization in robot-assisted minimally invasive surgery.

A miniature resonant tactile sensor for tissue stiffness detection in robot-assisted minimally invasive surgery is proposed in this article. The proposed tactile sensor can detect tissue stiffness based on the principle of the resonant frequency shift when it contacts with tissue of different stiffness. A PZT (lead zirconate titanate) bimorph works simultaneously as the actuator and the sensing el...

An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system.

Biological phosphorus removal (BPR) is an economical and sustainable processes for the removal of phosphorus (P) from wastewater, achieved by recirculating activated sludge through anaerobic and aerobic (An/Ae) processes. However, few studies have systematically analyzed the optimal hydraulic retention times (HRTs) in anaerobic and aerobic reactions, or whether these are the most appropriate contr...

Self-Paced Balance Learning for Clinical Skin Disease Recognition.

Class imbalance is a challenging problem in many classification tasks. It induces biased classification results for minority classes that contain less...

Improving the repeatability of two-rate model parameter estimations by using autoencoder networks.

The adaptive changes elicited in visuomotor adaptation experiments are usually well explained at group level by two-rate models (Smith et al., 2006), ...

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration.

Accurately predicting reference evapotranspiration (ET0) with limited climatic data is crucial for irrigation scheduling design and agricultural water...

Prosit: proteome-wide prediction of peptide tandem mass spectra by deep learning.

In mass-spectrometry-based proteomics, the identification and quantification of peptides and proteins heavily rely on sequence database searching or s...

A New Approach for Construction of Geodemographic Segmentation Model and Prediction Analysis.

Customer retention is invariably the top priority of all consumer businesses, and certainly it is one of the most critical challenges as well. Identif...

A distant supervision based approach to medical persona classification.

Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classi...

A Novel Memory-Scheduling Strategy for Large Convolutional Neural Network on Memory-Limited Devices.

Recently, machine learning, especially deep learning, has been a core algorithm to be widely used in many fields such as natural language processing, ...

Heterogeneous effects of alveolar recruitment in acute respiratory distress syndrome: a machine learning reanalysis of the Alveolar Recruitment for Acute Respiratory Distress Syndrome Trial.

BACKGROUND: Despite a robust physiological rationale, recruitment manoeuvres with PEEP titration were associated with harm in the Alveolar Recruitment...

Determining gradient conditions for peptide purification in RPLC with machine-learning-based retention time predictions.

A strategy for determining a suitable solvent gradient in silico in preparative peptide separations is presented. The strategy utilizes a machine-lear...

Using machine learning to translate applicant work history into predictors of performance and turnover.

Work history information reflected in resumes and job application forms is commonly used to screen job applicants; however, there is little consensus ...

Keeping it 100: Social Media and Self-Presentation in College Football Recruiting.

Social media provides a platform for individuals to craft personal brands and influence their perception by others, including potential employers. Yet...

Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.

A comprehensive understanding of the stimulus-response properties of individual neurons is necessary to crack the neural code of sensory cortices. How...

Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficia...

Optical Fiber Sensor Performance Evaluation in Soft Polyimide Film with Different Thickness Ratios.

To meet the application requirements of curvature measurement for soft biomedical robotics and flexible morphing wings of aircraft, the optical fiber ...

Comprehensive and Empirical Evaluation of Machine Learning Algorithms for Small Molecule LC Retention Time Prediction.

Liquid chromatography is a core component of almost all mass spectrometric analyses of (bio)molecules. Because of the high-throughput nature of mass s...

Defining host-pathogen interactions employing an artificial intelligence workflow.

UNLABELLED: For image-based infection biology, accurate unbiased quantification of host-pathogen interactions is essential, yet often performed manual...

Predicting Human Saccadic Scanpaths Based on Iterative Representation Learning.

Visual attention is a dynamic process of scene exploration and information acquisition. However, existing research on attention modeling has concentra...

Health-Aware Model-Predictive Control of a Cooperative AGV-Based Production System.

In the paper, a new scheduling strategy for assembly systems consisting of cooperating Automated Guided Vehicles (AGVs) based on their remaining opera...