Staffing & Scheduling

Deep Multi-Scale Residual Connected Neural Network Model for Intelligent Athlete Balance Control Ability Evaluation.

Athlete balance control ability plays an important role in different types of sports. Accurate and efficient evaluations of the balance control abilities can significantly improve the athlete management performance. With the rapid development of the athlete training field, intelligent and automatic evaluations have been highly demanded in the past years. This study proposes a deep learning-based a...

Churn prediction in telecommunication industry using kernel Support Vector Machines.

In this age of fierce competitions, customer retention is one of the most important tasks for many companies. Many previous works proposed models to predict customer churn based on various machine learning techniques. In this study, we proposed an advanced churn prediction model using kernel Support Vector Machines (SVM) algorithm for a telecom company. Baseline SVM models were initially built to ...

Research on Intelligent Scheduling Scheme of Aerobics Competition for Multi-Intelligent Decision-Making.

Multi-intelligent decision-making has a good development at present. Based on a series of technologies such as artificial intelligence, multi-intellig...

Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology.

Deep learning (DL) has shown great potential in digital pathology applications. The robustness of a diagnostic DL-based solution is essential for safe...

An efficient ANFIS-EEBAT approach to estimate effort of Scrum projects.

Software effort estimation is a significant part of software development and project management. The accuracy of effort estimation and scheduling resu...

Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides.

The prediction of fragment ion intensities and retention time of peptides has gained significant attention over the past few years. However, the progr...

Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients.

This study investigated the effects of robot-assisted gait training with body weight support on gait and balance in stroke patients. The study partici...

Optimization of Reservoir Flood Control Operation Based on Multialgorithm Deep Learning.

With the rapid development of China's social economy, it is the most important task for the water conservancy industry to make use of the existing wat...

Investigating Shift Variance of Convolutional Neural Networks in Ultrasound Image Segmentation.

While accuracy is an evident criterion for ultrasound image segmentation, output consistency across different tests is equally crucial for tracking ch...

[Automation and application of robotics in the pathology laboratory].

Over the last 20 years, numerous technical innovations have been introduced to the histopathology laboratory, providing tools for improved standardiza...

A Hybrid Water Balance Machine Learning Model to Estimate Inter-Annual Rainfall-Runoff.

Watershed climatic diversity poses a hard problem when it comes to finding suitable models to estimate inter-annual rainfall runoff (IARR). In this wo...

Antimony as a Programmable Element in Integrated Nanophotonics.

The use of nonlinear elements with memory as photonic computing components has seen a huge surge in interest in recent years with the rise of artifici...

Machine Learning Prediction of Clinical Trial Operational Efficiency.

Clinical trials are the gatekeepers and bottlenecks of progress in medicine. In recent years, they have become increasingly complex and expensive, dri...

Application of Unsupervised Transfer Technique Based on Deep Learning Model in Physical Training.

The research purpose is to study the standardization and scientizing of physical training actions. Stacking denoising auto encoder (SDAE), a BiLSTM de...

Personality Privacy Protection Method of Social Users Based on Generative Adversarial Networks.

Obscuring or otherwise minimizing the release of personality information from potential victims of social engineering attacks effectively interferes w...

automRm: An R Package for Fully Automatic LC-QQQ-MS Data Preprocessing Powered by Machine Learning.

Preprocessing of liquid chromatography-mass spectrometry (LC-MS) raw data facilitates downstream statistical and biological data analyses. In the case...

Deep Data Analysis-Based Agricultural Products Management for Smart Public Healthcare.

Agricultural is an indispensably public healthcare industry for human beings at any time and smart management of it is of great significance. Since su...

Study on the Effects of Different Seat and Leg Support Conditions of a Trunk Rehabilitation Robot.

Performance of trunk rehabilitation exercises while sitting on movable surfaces with feet on the ground can increase trunk and leg muscle activations,...

Two-Stage CNN Model for Joint Demosaicing and Denoising of Burst Bayer Images.

In the classical image processing pipeline, demosaicing and denoising are separated steps that may interfere with each other. Joint demosaicing and de...

Intelligent Wearable Devices Enabled Automatic Vehicle Detection and Tracking System with Video-Enabled UAV Networks Using Deep Convolutional Neural Network and IoT Surveillance.

The discipline of computer vision is becoming more popular as a research subject. In a surveillance-based computer vision application, item identifica...