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  • Article
  • Open Access
23 Citations
5,087 Views
18 Pages

Model-Based Analysis of Factors Affecting the Burden Layer Structure in the Blast Furnace Shaft

  • Haifeng Li,
  • Henrik Saxén,
  • Weiqiang Liu,
  • Zongshu Zou and
  • Lei Shao

12 September 2019

The distribution of burden layers in an ironmaking blast furnace strongly influences the conditions in the upper part of the process. The bed permeability largely depends on the distribution of ore and coke in the lumpy zone, which affects the radial...

  • Feature Paper
  • Article
  • Open Access
10 Citations
4,626 Views
15 Pages

Model Study on Burden Distribution in COREX Melter Gasifier

  • Haifeng Li,
  • Zongshu Zou,
  • Zhiguo Luo,
  • Lei Shao and
  • Wenhui Liu

1 December 2019

COREX is one of the commercialized smelting reduction ironmaking processes. It mainly includes two reactors, i.e., a (reduction) shaft furnace (SF) and a melter gasifier (MG). In comparison with the conventional blast furnace (BF), the COREX MG is no...

  • Article
  • Open Access
4 Citations
6,251 Views
13 Pages

19 June 2023

The application of information technology provides technical support for achieving the requirements of reducing burden and improving quality in the Chinese “Double Reduction” Policy. Based on the analysis of the mechanism and path of &ldq...

  • Article
  • Open Access
2 Citations
2,365 Views
18 Pages

Today, although laser engraving technology is widely used in 2D image engraving, when the image is larger and more complicated, most existing algorithms for engraving path planning have a huge computational burden and reduced engraving efficiency. Ac...

  • Article
  • Open Access
26 Citations
4,046 Views
25 Pages

25 March 2021

This article presents the variability of Fused deposition modelling (FDM) technology and the possibilities of its use in the design and implementation of a prototype atypical device. The assumptions of the behaviour of individual components and subsy...

  • Article
  • Open Access
3 Citations
3,681 Views
28 Pages

Structural Health Monitoring of Chemical Storage Tanks with Application of PZT Sensors

  • Michal Dziendzikowski,
  • Paulina Kozera,
  • Kamil Kowalczyk,
  • Kamil Dydek,
  • Milena Kurkowska,
  • Zuzanna D. Krawczyk,
  • Szczepan Gorbacz and
  • Anna Boczkowska

5 October 2023

Chemical pressure storage tanks are containers designed to store fluids at high pressures, i.e., their internal pressure is higher than the atmospheric pressure. They can come in various shapes and sizes, and may be fabricated from a variety of mater...

  • Article
  • Open Access
524 Views
22 Pages

A Nomadic Infrastructure with Hierarchical Block Tracking and Surveillance Resolution in Satellite Networks

  • Minsoo Kim,
  • Jalel Ben-Othman,
  • Lynda Mokdad,
  • Paolo Bellavista and
  • Hyunbum Kim

26 December 2025

In this paper, we propose a multi-layered hierarchical block tracking (HBT) system for continuous real-time sensing and efficient network management of highly mobile nomadic infrastructure. In order to solve the limitations of the existing high-resol...

  • Communication
  • Open Access
2 Citations
3,555 Views
11 Pages

Robust Conformal Perfect Absorber Involving Lossy Ultrathin Film

  • Lei Zhang,
  • Kun Wang,
  • Hui Chen and
  • Yanpeng Zhang

Perfect absorbers have been extensively investigated due to their significant value in solar cell, photodetection, and stealth technologies. Various subwavelength structures have been proposed to improve the absorption performances, such as high abso...

  • Article
  • Open Access
14 Citations
4,473 Views
37 Pages

KidneyNet: A Novel CNN-Based Technique for the Automated Diagnosis of Chronic Kidney Diseases from CT Scans

  • Saleh Naif Almuayqil,
  • Sameh Abd El-Ghany,
  • A. A. Abd El-Aziz and
  • Mohammed Elmogy

18 December 2024

This study presents KidneyNet, an innovative computer-aided diagnosis (CAD) system designed to identify chronic kidney diseases (CKDs), such as kidney stones, cysts, and tumors, in CT scans. KidneyNet utilizes a convolutional neural network (CNN) str...

  • Feature Paper
  • Article
  • Open Access
1 Citations
3,029 Views
24 Pages

19 October 2021

LoRa Wide Area Networks (LoRaWAN) can provide a connectivity service to Internet of Things (IoT) for an extremely long run-time and with low power consumption. As the LoRaWAN is extensively applied to various IoT scenarios, LoRaWAN solutions face a f...

  • Article
  • Open Access
1,765 Views
15 Pages

Stack and Structure: Ultrafast Lasers for Additive Manufacturing of Thin Polymer Films for Medical Applications

  • Dominic Bartels,
  • Yvonne Reg,
  • Mahboobeh Borandegi,
  • Maximilian Marschall,
  • Alexander Sommereyns and
  • Michael Schmidt

Overcoming the limitations of powder-based additive manufacturing processes is a crucial aspect for the manufacturing of patient-specific sophisticated implants with tailored properties. Within this work, a novel manufacturing process for the fabrica...

  • Review
  • Open Access
5 Citations
3,033 Views
12 Pages

Unveiling Novel Structural Biomarkers for the Diagnosis of Glaucoma

  • Yu-Chien Tsai,
  • Hsin-Pei Lee,
  • Ta-Hsin Tsung,
  • Yi-Hao Chen and
  • Da-Wen Lu

Glaucoma, a leading cause of irreversible blindness, poses a significant global health burden. Early detection is crucial for effective management and prevention of vision loss. This study presents a collection of novel structural biomarkers in glauc...

  • Article
  • Open Access
1 Citations
2,377 Views
12 Pages

Characterization of Self-Powered Triboelectric Tachometer with Low Friction Force

  • Ling Bu,
  • Xinbao Hou,
  • Lanxing Qin,
  • Zhiwei Wang,
  • Feng Zhang,
  • Feng Li and
  • Tao Liu

27 November 2021

Self-powered triboelectric tachometers have wide application prospects in mechanical and electrical industries. However, traditional disc-type tachometers typically require large contact force, which burdens rotary load and increases frictional wear....

  • Article
  • Open Access
2 Citations
1,768 Views
25 Pages

6 June 2023

As a reasonable statistical learning model for curve clustering analysis, the two-layer mixtures of Gaussian process functional regressions (TMGPFR) model has been developed to fit the data of sample curves from a number of independent information so...

  • Review
  • Open Access
7,231 Views
12 Pages

Adult Triage in the Emergency Department: Introducing a Multi-Layer Triage System

  • Dimitrios Tsiftsis,
  • Andreas Tasioulis and
  • Dimitrios Bampalis

Emergency department (ED) triage is the cornerstone of ED operations. Many different triage systems have been proposed and implemented globally. To date, an ideal triage system has not yet been identified. As the burden on EDs rises, with overcrowdin...

  • Article
  • Open Access
919 Views
12 Pages

11 September 2025

Antenna structure design constitutes a computationally expensive optimization problem due to the requirement for full-wave electromagnetic (EM) simulations. Surrogate-assisted evolutionary algorithms offer a promising approach for addressing such cha...

  • Article
  • Open Access
1 Citations
2,140 Views
21 Pages

17 December 2024

Ship structures may collapse or be severely deformed during a fire. To precisely assess the post-fire structural integrity of ships, in this study, a thermal–mechanical coupling data interface was created, employing a significant eddy simulatio...

  • Article
  • Open Access
5 Citations
2,013 Views
20 Pages

Aiming to solve the problems of different spectral bands and spatial pixels contributing differently to hyperspectral image (HSI) classification, and sparse connectivity restricting the convolutional neural network to a globally dependent capture, we...

  • Article
  • Open Access
1 Citations
2,938 Views
13 Pages

Efficient Parallel FDTD Method Based on Non-Uniform Conformal Mesh

  • Kaihui Liu,
  • Tao Huang,
  • Liang Zheng,
  • Xiaolin Jin,
  • Guanjie Lin,
  • Luo Huang,
  • Wenjing Cai,
  • Dapeng Gong and
  • Chunwang Fang

21 May 2024

The finite-difference time-domain (FDTD) method is a versatile electromagnetic simulation technique, widely used for solving various broadband problems. However, when dealing with complex structures and large dimensions, especially when applying perf...

  • Article
  • Open Access
1 Citations
1,322 Views
15 Pages

11 May 2024

Assessments of changes in the ecological state of aquatic ecosystems are always burdened with uncertainty, which results from environmental reasons and poor repeatability of measurement results of elements enabling the assessment. This study determin...

  • Article
  • Open Access
44 Citations
3,392 Views
12 Pages

Energy Saving of Composite Agglomeration Process (CAP) by Optimized Distribution of Pelletized Feed

  • Guanghui Li,
  • Chen Liu,
  • Zhengwei Yu,
  • Mingjun Rao,
  • Qiang Zhong,
  • Yuanbo Zhang and
  • Tao Jiang

10 September 2018

The composite agglomeration process (CAP) aims at sintering a pelletized feed and a matrix feed together to produce a high-quality burden for a blast furnace. The pelletized feed is balled from fine iron concentrate or refractory iron-bearing resourc...

  • Article
  • Open Access
1,175 Views
20 Pages

8 August 2025

This paper presents a novel data-driven approach to structural health monitoring (SHM) that uses Echo State Network (ESN) regression for continuous damage assessment. In contrast to traditional classification methods that demand extensive labeled dat...

  • Article
  • Open Access
64 Citations
6,213 Views
15 Pages

Evaluation of the Antimicrobial Activity of Cationic Peptides Loaded in Surface-Modified Nanoliposomes against Foodborne Bacteria

  • Stefania Cantor,
  • Lina Vargas,
  • Oscar E. Rojas A.,
  • Cristhian J. Yarce,
  • Constain H. Salamanca and
  • Jose Oñate-Garzón

Bacteria are a common group of foodborne pathogens presenting public health issues with a large economic burden for the food industry. Our work focused on a solution to this problem by evaluating antibiotic activity against two bacteria (Listeria mon...

  • Article
  • Open Access
2,475 Views
11 Pages

20 May 2022

The influences of implants on the temperature field in tissues during ultrasound diathermy is controversial. In addition, most previous studies have focused on plate implants, and the effects of irregular implants and bones are seldom discussed. In t...

  • Article
  • Open Access
618 Views
17 Pages

Experimental and Machine Learning Study of a Modified Cymbal Piezoelectric Energy Harvester

  • Turuna Seecharan,
  • Cobi Kiffmeyer,
  • Nolan Voiles,
  • Kyle Enrlichman,
  • Alex Hankins and
  • Ping Zhao

27 November 2025

Cymbal piezoelectric energy harvesters offer an effective platform for converting mechanical vibrations into electrical energy due to their ability to exploit both longitudinal (d33) and transverse (d31) piezoelectric coefficients. However, the desig...

  • Article
  • Open Access
6 Citations
1,764 Views
23 Pages

GS-YOLO: A Lightweight Identification Model for Precision Parts

  • Haojie Zhu,
  • Lei Dong,
  • Hanpeng Ren,
  • Hongchao Zhuang and
  • Hu Li

10 February 2025

With the development of aerospace technology, the variety and complexity of spacecraft components have increased. Traditional manual and machine learning-based detection methods struggle to accurately and quickly identify these parts. Deep learning-b...

  • Article
  • Open Access
2 Citations
2,914 Views
16 Pages

6 January 2023

The size distribution of coke is important in order to decide the burden layer structure and the burden porosity in the shaft of a blast furnace (BF), which fluctuates daily and can be determined by several parameters. It is measured two or three tim...

  • Article
  • Open Access
4 Citations
2,348 Views
15 Pages

1 October 2022

Pure silica sol obtained by hydrolysis of tetraethoxysilane and the same silica sol doped with fertilizer Azofoska were used to cover the surface of pea seeds. The surface state of the coated seeds (layer continuity, thickness, elemental composition)...

  • Article
  • Open Access
7 Citations
2,186 Views
15 Pages

Plastics represent an integral part of our everyday lives, with various functions from packaging materials to insulation layers in our buildings. Pure expanded polystyrene (EPS) is a good example of a fully recyclable material. However, once polluted...

  • Article
  • Open Access
1 Citations
2,446 Views
16 Pages

Plutonic Rocks as Protection Layers to Concrete Exposed to Ultra-High Temperature

  • Fernando França de Mendonça Filho,
  • Cláudia Romero Rodriguez,
  • Erik Schlangen and
  • Oğuzhan Çopuroğlu

12 May 2022

Concrete structures perform poorly when withstanding thermal shock events, usually requiring repair or replacement after one single instance. In certain industries (such as petrol, metallurgic and ceramics), these events are not only likely but frequ...

  • Article
  • Open Access
26 Citations
7,769 Views
15 Pages

24 August 2022

Composite laminate recycling and waste disposal routes remain a burden to existing systems, requiring special treatment and separation. The inclusion of a plastic layer is important for several key properties that are required for food safety, which...

  • Article
  • Open Access
25 Citations
5,014 Views
10 Pages

Technology transfer from laboratory into practical application needs to meet the demands of economic viability and operational simplicity. This paper reports a simple and convenient strategy to fabricate large-scale and ultrasensitive surface-enhance...

  • Proceeding Paper
  • Open Access
11 Citations
2,439 Views
8 Pages

30 December 2020

Nowadays, the aging, deterioration, and failure of civil structures are challenges of paramount importance, increasingly motivating the search of advanced Structural Health Monitoring (SHM) tools. In this work, we propose a SHM strategy for online st...

  • Article
  • Open Access
12 Citations
3,294 Views
13 Pages

A Semi-Supervised Semantic Segmentation Method for Blast-Hole Detection

  • Zeyu Zhang,
  • Honggui Deng,
  • Yang Liu,
  • Qiguo Xu and
  • Gang Liu

23 March 2022

The goal of blast-hole detection is to help place charge explosives into blast-holes. This process is full of challenges, because it requires the ability to extract sample features in complex environments, and to detect a wide variety of blast-holes....

  • Review
  • Open Access
209 Citations
10,877 Views
11 Pages

24 February 2018

Bone defects caused by trauma or pathological events are major clinical and socioeconomic burdens. Thus, the efforts of regenerative medicine have been focused on the development of non-biodegradable materials resembling bone features. Consequently,...

  • Article
  • Open Access
9 Citations
5,280 Views
14 Pages

Uncoupled CFD-FEA Methods for the Thermo-Structural Analysis of Turbochargers

  • Piotr Łuczyński,
  • Matthias Giesen,
  • Thomas-Sebastian Gier and
  • Manfred Wirsum

In turbocharger design, the accurate determination of thermally induced stresses is of particular importance for life cycle predictions. An accurate, transient, thermal finite element analysis (FEA) of turbocharger components requires transient conju...

  • Article
  • Open Access
5 Citations
2,696 Views
22 Pages

22 October 2021

In this paper, an adaptive Cuckoo search extreme learning machine (ACS-ELM)-based prognosis method is developed for an electric scooter system with intermittent faults. Firstly, bond-graph-based fault detection and isolation is carried out to find po...

  • Review
  • Open Access
268 Views
26 Pages

28 February 2026

The global polymer waste burden has catalyzed a shift from linear “production–use–disposal” systems to circular models that prioritize recycling, reuse, and value retention. This article proposes an integrated, technology-read...

  • Article
  • Open Access
3 Citations
1,175 Views
16 Pages

13 December 2024

To better process irregular sample images for their image feature extraction and recognition, this essay proposes asymmetric adaptive neural network (AACNN) structures, including dual structures of an adaptive image feature extraction network (AT-CNN...

  • Article
  • Open Access
708 Views
24 Pages

13 November 2025

Between 51% and 72% of a bituminous roofing membrane used for structural waterproofing consists of organic material, predominantly bitumen—a derivative of crude oil refining—highlighting the strong dependence of this product on fossil res...

  • Article
  • Open Access
11 Citations
3,717 Views
17 Pages

9 November 2020

Advanced driver assistance system such as adaptive cruise control, traffic jam assistance, and collision warning has been developed to reduce the driving burden and increase driving comfort in the car-following situation. These systems provide automa...

  • Article
  • Open Access
10 Citations
2,837 Views
17 Pages

4 August 2022

Polarimetric synthetic aperture radar (PolSAR) image classification is a pixel-wise issue, which has become increasingly prevalent in recent years. As a variant of the Convolutional Neural Network (CNN), the Fully Convolutional Network (FCN), which i...

  • Article
  • Open Access
1,344 Views
19 Pages

EnNet: Enhanced Interactive Information Network with Zero-Order Optimization

  • Yingzhao Shao,
  • Yanxin Chen,
  • Pengfei Yang and
  • Fei Cheng

30 September 2024

Interactive image segmentation extremely accelerates the generation of high-quality annotation image datasets, which are the pillars of the applications of deep learning. However, these methods suffer from the insignificance of interaction informatio...

  • Article
  • Open Access
4 Citations
1,364 Views
21 Pages

Experimental Study and Practical Application of Existing Crack Repair in Concrete Dam Tunnels Using MICP and EICP

  • Xu Zhang,
  • Yu Zhang,
  • Huiheng Luo,
  • Bo Peng,
  • Yongzhi Zhang,
  • Jiahui Yao and
  • Mateusz Jan Jedrzejko

10 September 2025

Cracks in concrete dam tunnels compromise structural safety, watertightness, and durability, while conventional repair materials such as epoxy and cement impose environmental burdens. This study investigates biomineralization methods, namely Microbia...

  • Article
  • Open Access
63 Citations
7,960 Views
15 Pages

Detection of Minor and Major Depression through Voice as a Biomarker Using Machine Learning

  • Daun Shin,
  • Won Ik Cho,
  • C. Hyung Keun Park,
  • Sang Jin Rhee,
  • Min Ji Kim,
  • Hyunju Lee,
  • Nam Soo Kim and
  • Yong Min Ahn

8 July 2021

Both minor and major depression have high prevalence and are important causes of social burden worldwide; however, there is still no objective indicator to detect minor depression. This study aimed to examine if voice could be used as a biomarker to...

  • Article
  • Open Access
7 Citations
2,378 Views
11 Pages

23 March 2023

Rising prices are currently a problem in the world. In particular, the abnormal increases in the price of metals, which are often used in dental prosthetics, have increased the burden of dental costs on the public. There is therefore an urgent need t...

  • Article
  • Open Access
4 Citations
1,502 Views
17 Pages

Enhancing Mechanical and Biodegradation Properties of Zn-0.5Fe Alloys Through Rotary Forging

  • Lebin Tang,
  • Hailing Chen,
  • Xinglong Zhu,
  • Muhammad Zubair,
  • Tao Sun,
  • Lijing Yang,
  • Xiang Lu and
  • Zhenlun Song

6 February 2025

The rising prevalence of orthopedic conditions, driven by an aging population, has led to a growing demand for advanced implant materials. Traditional metals such as stainless steel and titanium alloys are biologically inert and often necessitate sec...

  • Article
  • Open Access
4 Citations
2,417 Views
14 Pages

9 July 2022

Shigella sonnei remains the second most common cause of shigellosis in young children and is now increasingly dominant across developing countries. The global emergence of drug resistance has become a main burden in the treatment of S. sonnei infecti...

  • Article
  • Open Access
3 Citations
1,685 Views
28 Pages

The real-time detection of facial skin problems is crucial for improving dermatological health, yet its practical implementation remains challenging. Early detection and timely intervention can significantly enhance skin health while reducing the fin...

  • Feature Paper
  • Article
  • Open Access
10 Citations
3,552 Views
20 Pages

21 October 2022

Road construction takes a heavy toll on the environment. Therefore, innovative strategies to improve the environmental performances of this sector are needed, and the use of recycled materials (e.g., plastic) has been recently pursued to achieve this...

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