Explanipedia

SATU-net: a shadow adaptive tracing U-net for gastric cavity segmentation based on the principle of ultrasound imaging Open

Hankun Zhang, Tie Zhou, Siqi Wang, Dong Liu, Xueqing Sun , et al. · 2025

Accurate segmentation of gastric cavities from ultrasound images remains a challenging task due to the presence of ultrasound shadow and varying anatomical structures. To address these challenges, we collected a Gastric Ultrasound Image (G…

Structural characterization and mechanical properties of basalt-based glasses and fibers with Fe2O3 addition Open

Chun Cheng Yang, Xingyu Liu, Yusheng Jiang, Teng Li, Hankun Zhang , et al. · 2025

Alternating Copolymer-Based Flame-Retardant Gel Polymer Electrolyte for High-Safety Lithium Metal Batteries Open

Chao Fu, Huali Cao, Hankun Zhang, Yueping Wang, Zhenhuan Zhang , et al. · 2025

Effect of Zro2-Tio2 Co-Doping on the Structure, Alkali Resistance and Mechanical Properties of Basalt Fibers Open

Lingtao Zeng, Yundi Geng, Ten Li, Hankun Zhang, Hankun Zhang , et al. · 2024

Preparation and Characterization of Fezrb Amorphous Alloy Particles as Magnetic Sizing Agents for Basalt Fibers Open

Teng Li, Yusheng Jiang, Lingtao Zeng, Yuan Zhao, Hankun Zhang , et al. · 2024

Structure and Mechanical Properties of La 2 O 3 Doped Continuous Basalt Fiber Open

Changjiang Liu, Yundi Geng, Lingtao Zeng, Wei Geng, Ten Li , et al. · 2024

An Efficient Metaheuristic Algorithm for Job Shop Scheduling in a Dynamic Environment Open

Hankun Zhang, Borut Buchmeister, Xueyan Li, Robert Ojsteršek · 2023

This paper proposes an Improved Multi-phase Particle Swarm Optimization (IMPPSO) to solve a Dynamic Job Shop Scheduling Problem (DJSSP) known as an non-deterministic polynomial-time hard (NP-hard) problem. A cellular neighbor network, a ve…

Effect of Ceo2 Doping on Structural, Electrical and Mechanical Properties of Basalt Fibers Open

Lingtao Zeng, Zhao Yuan, Hankun Zhang, Ten Li, Runchu Zhang , et al. · 2023

Obtaining a Reliable Diagnostic Biomarker for Diabetes Mellitus by Standardizing Salivary Glucose Measurements Open

Yangyang Cui, Hankun Zhang, Song Wang, Junzhe Lu, Jinmei He , et al. · 2022

Salivary glucose is frequently utilized in diabetes mellitus (DM), and it might be proposed as a potential biomarker candidate for DM, as it is non-invasive and cost-effective and achieves adequate diagnostic performance for DM patients. H…

Stimulated Parotid Saliva Is a Better Method for Depression Prediction Open

Yangyang Cui, Hankun Zhang, Song Wang, Junzhe Lu, Jinmei He , et al. · 2022

Background: Saliva cortisol is considered to be a biomarker of depression prediction. However, saliva collection methods can affect the saliva cortisol level. Objective: This study aims to determine the ideal saliva collection method and e…

Investigation of Whole and Glandular Saliva as a Biomarker for Alzheimer’s Disease Diagnosis Open

Yangyang Cui, Hankun Zhang, Jia Zhu, Zhenhua Liao, Song Wang , et al. · 2022

Salivary Aβ40, Aβ42, t-tau, and p-tau 181 are commonly employed in Alzheimer’s disease (AD) investigations. However, the collection method of these biomarkers can affect their levels. To assess the impact of saliva collection methods on bi…

Correlations of Salivary and Blood Glucose Levels among Six Saliva Collection Methods Open

Yangyang Cui, Hankun Zhang, Jia Zhu, Zhenhua Liao, Song Wang , et al. · 2022

Background: Saliva has been studied as a better indicator of disorders and diseases than blood. Specifically, the salivary glucose level is considered to be an indicator of diabetes mellitus (DM). However, saliva collection methods can aff…

The Importance of Employees’ Knowledge in Sustainable, Green Manufacturing: Numerical Modeling Approach Open

Robert Ojsteršek, Hankun Zhang, Borut Buchmeister · 2022

The employees’ knowledge level is crucial because it ensures the long-term social, environmental, and financial sustainability of a company’s operations on the global market. In doing so, there is a problem of how to measure the employees’…

Unstimulated Parotid Saliva Is a Better Method for Blood Glucose Prediction Open

Yangyang Cui, Hankun Zhang, Jia Zhu, Peng Lü, Zhili Duan , et al. · 2021

Objective: Saliva glucose has been widely used in diagnosing and monitoring diabetes, but the saliva collection method will affect saliva glucose concentration. So, this study aims to identify the ideal saliva collection method. Method: A …

An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19 Open

Lijing Jia, Zijian Wei, Heng Zhang, Jiaming Wang, Ruiqi Jia , et al. · 2021

Advanced Metaheuristic Method for Decision-Making in a Dynamic Job Shop Scheduling Environment Open

Hankun Zhang, Borut Buchmeister, Xueyan Li, Robert Ojsteršek · 2021

As a well-known NP-hard problem, the dynamic job shop scheduling problem has significant practical value, so this paper proposes an Improved Heuristic Kalman Algorithm to solve this problem. In Improved Heuristic Kalman Algorithm, the cell…

Solving Location Problem for Electric Vehicle Charging Stations—A Sharing Charging Model Open

Daqing Gong, Mincong Tang, Borut Buchmeister, Hankun Zhang · 2019

Sharing charging stations are an effective solution for daily usage of electric vehicles charging, however, the area with high demand cannot provide enough stations while there are plenty of stations left idle in remote areas with less dem…

Resource-Expandable Railway Freight Transportation Routing Optimization Open

Wang Ru, Zhenji Zhang, Lingling Wang, Hankun Zhang · 2019

This paper improved the algorithm of swarm intelligence, and the adaptability of improved algorithm in the design of door-to-door full-loaded transportation of railway goods was analyzed. The optimization model of the door-to-door full-loa…

Multi-Objective Cluster Intelligent Algorithms for Railway Door-to-Door Transportation Routing Design Open

Daqing Gong, Mincong Tang, Gang Xue, Hankun Zhang, Borut Buchmeister · 2019

In this study, we aim to develop a system optimization model of Railway Freight Transportation Routing Design (RFTRD) and conduct solution analysis which is based on the improved multi-objective swarm intelligence algorithm. The proposed i…

An Improved Multi-Objective Quantum-Behaved Particle Swarm Optimization for Railway Freight Transportation Routing Design Open

Qianqian Zhang, Shifeng Liu, Daqing Gong, Hankun Zhang, Qun Zhang Tu · 2019

With the development of railway transportation, the railway transportation enterprises expand their freight transportation from station-to-station transportation to door-to-door transportation, which makes the routing design more complicat…

Improved Heuristic Kalman Algorithm for Solving Multi-Objective Flexible Job Shop Scheduling Problem Open

Robert Ojsteršek, Hankun Zhang, Shifeng Liu, Borut Buchmeister · 2018

The Flexible Job Shop Scheduling Problem (FJSSP), as a typical NP-hard optimization problem, has a significant value in manufacturing environment. This paper presents an improved estimation method of Multi-Objective Heuristic Kalman Algori…

Stemxel: Interactive structure for adaptive design Open

Pier Alessio Rizzardi, Başak Sakçak, Hankun Zhang, Edoardo Giancola, Martin Huba , et al. · 2016

StemXel is a response to the need of continuous change of functions in interior design and architecture.It can be converted into mutable forms with the use of a permanent material without any waste and provide physical change with seamless…

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