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17,621 Results Found

  • Article
  • Open Access
49 Citations
5,795 Views
21 Pages

Predicting the Tensile Behaviour of Cast Alloys by a Pattern Recognition Analysis on Experimental Data

  • Cristiano Fragassa,
  • Matej Babic,
  • Carlos Perez Bergmann and
  • Giangiacomo Minak

13 May 2019

The ability to accurately predict the mechanical properties of metals is essential for their correct use in the design of structures and components. This is even more important in the presence of materials, such as metal cast alloys, whose properties...

(This article belongs to the Special Issue Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications)
  • Proceeding Paper
  • Open Access
1,168 Views
10 Pages

Bayesian Integrated Data Analysis and Experimental Design for External Magnetic Plasma Diagnostics in DEMO

  • Jeffrey De Rycke,
  • Alfredo Pironti,
  • Marco Ariola,
  • Antonio Quercia and
  • Geert Verdoolaege

Magnetic confinement nuclear fusion offers a promising solution to the world’s growing energy demands. The DEMO reactor presented here aims to bridge the gap between laboratory fusion experiments and practical electricity generation, posing unique ch...

(This article belongs to the Proceedings of The 43rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering)
  • Brief Report
  • Open Access
2,684 Views
9 Pages

8 September 2023

Microbiome data are subject to experimental bias that is caused by DNA extraction and PCR amplification, among other sources, but this important feature is often ignored when developing statistical methods for analyzing microbiome data. McLaren, Will...

(This article belongs to the Special Issue Statistical Analysis of Microbiome Data: From Methods to Application)
  • Article
  • Open Access
507 Views
18 Pages

An Internet of Things-Based Multisensor Platform for Biogas Monitoring and Experimental Data Analysis

  • Omirlan Auyelbekov,
  • Ainur Kozbakova,
  • Kairat Yessentayev and
  • Kuanyshbek Igibayev

3 September 2026

This article discusses the intelligent analysis of multisensory biogas data obtained from an experimental dataset generated by a Lab-on-Chip platform. The relevance of this work stems from the need for real-time monitoring of biogas quality and bioma...

(This article belongs to the Section Inventions and Innovation in Electrical Engineering/Energy/Communications)
  • Article
  • Open Access
3 Citations
2,214 Views
9 Pages

Neutrosophic Analysis of Experimental Data Using Neutrosophic Graeco-Latin Square Design

  • Pranesh Kumar,
  • Mahdieh Moazzamigodarzi and
  • Mohamadtaghi Rahimi

16 August 2024

Experimental designs are commonly used to produce valid, defensible, and supportable conclusions. Among commonly used block designs, the class of Latin square designs is used to study factors or treatment levels expressed as Latin letters and applyin...

(This article belongs to the Special Issue The Application of Fuzzy Decision-Making Theory and Method)
  • Data Descriptor
  • Open Access
6 Citations
5,104 Views
5 Pages

Data from Experimental Analysis of the Performance and Load Cycling of a Polymer Electrolyte Membrane Fuel Cell

  • Andrea Ramírez-Cruzado,
  • Blanca Ramírez-Peña,
  • Rosario Vélez-García,
  • Alfredo Iranzo and
  • José Guerra

20 May 2020

Fuel cells are electrochemical devices that convert the chemical energy stored in fuels (hydrogen for polymer electrolyte membrane (PEM) fuel cells) directly into electricity with high efficiency. Fuel cells are already commercially used in different...

  • Editorial
  • Open Access
1,630 Views
5 Pages

This editorial outlines explicit recommendations for authors submitting to Horticulturae to ensure repeatability/reproducibility and transparency in their experimental methods and data analysis. It emphasizes the importance of detailed reporting, inc...

  • Article
  • Open Access
5 Citations
2,953 Views
47 Pages

27 September 2022

This study proposes and applies a systematic data analysis methodology to analyse experimental data for high-performance concrete (HPC) samples with different admixtures for offshore fan foundation grouting materials uses. In contrast with other rele...

(This article belongs to the Special Issue Applications of (Big) Data Analysis in A/E/C)
  • Article
  • Open Access
45 Citations
5,580 Views
18 Pages

29 March 2024

Shielding gas, metal vapors, and gases trapped inside powders during atomization can result in gas porosity, which is known to degrade the fatigue strength and tensile properties of components made by laser powder bed fusion additive manufacturing. P...

(This article belongs to the Special Issue Applications of Modeling and Machine Learning in Additive Manufacturing)
  • Communication
  • Open Access
9 Citations
2,327 Views
11 Pages

31 August 2022

In the rotary steering system of oil drilling, both power and data transmission are needed. This paper presents a parallel power and data transmission method for a rotating steering system with output voltage control. To reduce the size of the system...

  • Article
  • Open Access
1,939 Views
17 Pages

27 November 2025

Exchangeability is a foundational concept in Bayesian statistics, crucial for ensuring the validity and generalizability of inferences from experimental data. This paper presents a theoretical and computational framework for understanding the role of...

  • Article
  • Open Access
476 Views
45 Pages

23 April 2026

This paper presents a probabilistic–statistical approach to the analysis of diffusion processes in randomly nonhomogeneous multilayered bodies under conditions of incomplete experimental information on the boundary. The boundary condition is re...

(This article belongs to the Special Issue Theory and Applications of Probability Theory and Stochastic Analysis)
  • Article
  • Open Access
9 Citations
4,270 Views
20 Pages

26 July 2023

This paper presents a special analysis study about the gas turbine operating line, and an overall description of a gas turbines project, based on experimental data from two particular applications, in order to convert two different types of aero engi...

(This article belongs to the Section I: Energy Fundamentals and Conversion)
  • Article
  • Open Access
1,164 Views
28 Pages

17 December 2025

In recent decades, international interest has grown in the design and implementation of evolutionary reactors based on passive systems. The design of such systems requires reliable and validated numerical tools capable of simulating phenomena driven...

  • Article
  • Open Access
17 Citations
9,351 Views
14 Pages

Biophotons: New Experimental Data and Analysis

  • Maurizio Benfatto,
  • Elisabetta Pace,
  • Ivan Davoli,
  • Roberto Francini and ,
  • Fabio De Matteis,
  • Alessandro Scordo,
  • Alberto Clozza,
  • Luca De Paolis,
  • Catalina Curceanu and
  • Paolo Grigolini
  • + 5 authors+ 0 author

10 October 2023

Biophotons are an ultra-weak emission of photons in the visible energy range from living matter. In this work, we study the emission from germinating seeds using an experimental technique designed to detect light of extremely small intensity. The emi...

(This article belongs to the Special Issue Quantum Processes in Living Systems)
  • Article
  • Open Access
8 Citations
3,626 Views
13 Pages

A Reliability Analysis Framework of Ship Local Structure Based on Efficient Probabilistic Simulation and Experimental Data Fusion

  • Shuming Xiao,
  • Yang Han,
  • Yi Zhang,
  • Qikun Wei and ,
  • Yifan Wang,
  • Na Wang,
  • Haodong Wang,
  • Jingxi Liu and
  • Yan Liu
  • + 4 authors+ 0 author

6 May 2022

This paper presents a comprehensive framework for the reliability analysis of ship local structures. Existing reliability analysis of ship local structures relies on empirical analysis without experimental validation. The presented framework improves...

(This article belongs to the Special Issue Modelling, Test and Practice of Steel Structures)
  • Proceeding Paper
  • Open Access
2,315 Views
10 Pages

25 August 2025

This paper examines some of the most popular protocols for transmitting sensor data to cloud structures from publish/subscribe and request/response IoT models. The selection of a highly efficient message transmission protocol is essential, as it depe...

(This article belongs to the Proceedings of International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2025))
  • Article
  • Open Access
3 Citations
7,304 Views
16 Pages

28 November 2024

Electronic evidence is an essential component in most legal trials of criminal activities, and digital forensics is therefore a crucial support for law enforcement investigations. For instance, a wide range of electronic devices contain Not AND (NAND...

(This article belongs to the Special Issue Methods and Applications of Data Management and Analytics)
  • Article
  • Open Access
44 Citations
8,742 Views
19 Pages

5 April 2020

This paper proposes an approach that combines data envelopment analysis (DEA) with the analytic hierarchy process (AHP) and conjoint analysis, as multi-criteria decision-making methods to evaluate teachers’ performance in higher education. This...

(This article belongs to the Special Issue Uncertain Multi-Criteria Optimization Problems)
  • Article
  • Open Access
16 Citations
6,734 Views
15 Pages

24 April 2020

Grid-connected systems often consist of several feedback-controlled power-electronics converters that are connected in parallel. Consequently, a number of stability issues arise due to interactions among multiple converter subsystems. Recent studies...

(This article belongs to the Special Issue Power Electronics in Renewable Energy Systems Ⅱ)
  • Article
  • Open Access
4 Citations
3,534 Views
27 Pages

Meshless Electrophysiological Modeling of Cardiac Resynchronization Therapy—Benchmark Analysis with Finite-Element Methods in Experimental Data

  • Carlos Albors,
  • Èric Lluch,
  • Juan Francisco Gomez,
  • Nicolas Cedilnik and ,
  • Konstantinos A. Mountris,
  • Tommaso Mansi,
  • Svyatoslav Khamzin,
  • Arsenii Dokuchaev,
  • Olga Solovyova and
  • Oscar Camara
  • + 9 authors+ 4 authors

24 June 2022

Computational models of cardiac electrophysiology are promising tools for reducing the rates of non-response patients suitable for cardiac resynchronization therapy (CRT) by optimizing electrode placement. The majority of computational models in the...

(This article belongs to the Special Issue Emerging Techniques in Imaging, Modelling and Visualization for Cardiovascular Diagnosis and Therapy)
  • Article
  • Open Access
16 Citations
12,782 Views
15 Pages

An essential part of the design of a liquid rocket engine is the thermal analysis of the thrust chamber, which is a component whose operative life is limited by the maximum allowable wall temperature and heat flux. A simplified steady-state thermal a...

(This article belongs to the Special Issue Fluid-Dynamics and Heat Transfer in Aerospace Propulsion Systems)
  • Systematic Review
  • Open Access
77 Citations
16,460 Views
19 Pages

24 April 2022

In vitro digestibility of starch is a common analysis in human nutrition research, and generally consists of performing the hydrolysis of starch by α-amylase in specific conditions. Similar in vitro assays are also used in other research fields...

(This article belongs to the Special Issue Food Hydrocolloids Science)
  • Article
  • Open Access
15 Citations
7,111 Views
17 Pages

20 August 2018

LED-based Visible Light Communication (VLC) has been proposed as the IEEE 802.15.7 standard and is regarded as a new wireless access medium in the Internet-of-Things (IoT) environment. With this trend, many works have already been made to improve the...

(This article belongs to the Special Issue Emerging Methodologies and Practical Solutions for M2M and D2D Communications in the Internet of Things Era)
  • Article
  • Open Access
8 Citations
5,374 Views
36 Pages

12 August 2020

Buildings of strategic importance should be able to resist seismic forces in accordance with potential earthquakes that may occur at the location and remain fully operational afterwards. However, many of them were constructed before the modern princi...

(This article belongs to the Section Materials Science and Engineering)
  • Data Descriptor
  • Open Access
17 Citations
3,800 Views
12 Pages

28 November 2022

This article presents experimental data and nonlinear finite element analysis (NLFEA) modeling for an innovative buckling restrained bracing (BRB) system. The data were collected from qualification testing of introduced BRBs per the AISC 341 test pro...

  • Article
  • Open Access
223 Views
25 Pages

A CUF-Based Data-Driven Simulation Framework for Static Analysis of Fiber-Reinforced Composite Profile Structures

  • Yanchuan Hui,
  • Yushui Miao,
  • Yutong Liu,
  • Qun Huang and ,
  • Wei Huang,
  • Kui Wang,
  • Depeng Wang,
  • Xiao Liu,
  • Peng Niu and
  • Xi Wang
  • + 8 authors+ 3 authors

28 September 2026

Reduced-order analysis of thin-walled fiber-reinforced composite profiles remains challenging because discrete macroscopic material data must be incorporated into an equilibrium-compatible structural model and assessed against physical measurements....

(This article belongs to the Special Issue Advanced Fiber-Reinforced Composites and AI-Driven Assessment for Building Structures)
  • Review
  • Open Access
5 Citations
4,175 Views
26 Pages

An Optimized Comparative Proteomic Approach as a Tool in Neurodegenerative Disease Research

  • Rachel A. Kline,
  • Lena Lößlein,
  • Dominic Kurian,
  • Judit Aguilar Martí and ,
  • Samantha L. Eaton,
  • Felipe A. Court,
  • Thomas H. Gillingwater and
  • Thomas M. Wishart
  • + 3 authors+ 0 author

26 August 2022

Recent advances in proteomic technologies now allow unparalleled assessment of the molecular composition of a wide range of sample types. However, the application of such technologies and techniques should not be undertaken lightly. Here, we describe...

(This article belongs to the Special Issue Proteomic Applications in Ageing and Neurodegenerative Conditions)
  • Article
  • Open Access
1 Citations
2,011 Views
23 Pages

13 September 2024

The macroscopic fundamental diagram (MFD), as a model depicting the correlation between traffic flow parameters at the network level, offers a new way to understand regional traffic state using derived traffic flow data from detectors directly. The a...

(This article belongs to the Special Issue Sustainable Transportation and Logistics Optimization)
  • Article
  • Open Access
124 Citations
6,846 Views
16 Pages

A Machine Learning-Assisted Numerical Predictor for Compressive Strength of Geopolymer Concrete Based on Experimental Data and Sensitivity Analysis

  • An Thao Huynh,
  • Quang Dang Nguyen,
  • Qui Lieu Xuan,
  • Bryan Magee and ,
  • TaeChoong Chung,
  • Kiet Tuan Tran and
  • Khoa Tan Nguyen
  • + 2 authors+ 0 author

31 October 2020

Geopolymer concrete offers a favourable alternative to conventional Portland concrete due to its reduced embodied carbon dioxide (CO2) content. Engineering properties of geopolymer concrete, such as compressive strength, are commonly characterised ba...

(This article belongs to the Special Issue Applied Machine Learning)
  • Article
  • Open Access
27 Citations
8,221 Views
20 Pages

14 July 2021

This paper presents an experimental method for tensile testing of unidirectional carbon fibre composites. It uses a novel combination of a new specimen geometry, protective layer, and a robust data analysis method. The experiments were designed to te...

(This article belongs to the Special Issue Mechanical Characterization of FRP Composite Materials)
  • Article
  • Open Access
14 Citations
6,557 Views
24 Pages

Meta-Analysis and Experimental Validation Identified FREM2 and SPRY1 as New Glioblastoma Marker Candidates

  • Marko Vidak,
  • Ivana Jovcevska,
  • Neja Samec,
  • Alja Zottel and ,
  • Mirjana Liovic,
  • Damjana Rozman,
  • Saso Dzeroski,
  • Peter Juvan and
  • Radovan Komel
  • + 4 authors+ 0 author

Glioblastoma (GB) is the most aggressive brain malignancy. Although some potential glioblastoma biomarkers have already been identified, there is a lack of cell membrane-bound biomarkers capable of distinguishing brain tissue from glioblastoma and/or...

(This article belongs to the Section Biochemistry)
  • Article
  • Open Access
5 Citations
1,089 Views
15 Pages

31 August 2018

This paper presents a research on students using the Gazepoint device to visualise the prac-tices and strategies that students used in order to solve assignments in the disciplines of natural science. The analysis of visual perception of students is...

  • Article
  • Open Access
7 Citations
3,657 Views
20 Pages

Compression Performance Analysis of Experimental Holographic Data Coding Systems

  • Tianyu Dong,
  • Kwan-Jung Oh,
  • Joongki Park and
  • Euee S. Jang

6 September 2023

It is challenging to find a proper way to compress computer-generated holography (CGH) data owing to their huge data requirements and characteristics. This study proposes CGH data coding systems with high-efficiency video coding (HEVC), three-dimensi...

(This article belongs to the Section Communications)
  • Article
  • Open Access
1 Citations
3,511 Views
18 Pages

18 July 2022

The hydrogenation of CO and CO2 from industrial exhaust gases into CH4 represents a promising method for sustainable chemical energy storage. While iron-based catalysts are in principle suitable for that purpose, the active metal Fe undergoes a compl...

  • Article
  • Open Access
11 Citations
3,552 Views
22 Pages

Computational Analysis and Experimental Data Exploring the Role of Hesperetin in Ameliorating ADHD and SIRT1/Nrf2/Keap1/OH-1 Signaling

  • Hatem I. Mokhtar,
  • Noha M. Abd El-Fadeal,
  • Rehab M. El-Sayed,
  • Ann Hegazy and ,
  • Mohamed K. El-Kherbetawy,
  • Ahmed G. Hamad,
  • Mohamed H. ElSayed and
  • Sawsan A. Zaitone
  • + 3 authors+ 0 author

27 August 2024

Attention deficit hyperactivity disorder (ADHD) manifests as poor attention, hyperactivity, as well as impulsive behaviors. Hesperetin (HSP) is a citrus flavanone with strong antioxidant and anti-inflammatory activities. The present study aimed to te...

(This article belongs to the Section Molecular Informatics)
  • Article
  • Open Access
2 Citations
3,059 Views
20 Pages

2 October 2020

Multipolar refinements of structural models fitting extensive sets of X-ray diffraction (XRD) data from single crystals of 1,3-bis(dimethylamino)squaraine [SQ, C8H12N2O2] and its dihydrate [SQDH, C8H12N2O2·2H2O], collected at very low T (18 ± 1 K for...

  • Article
  • Open Access
8 Citations
3,823 Views
19 Pages

13 February 2025

With the increasing emphasis on environmental sustainability, the electrification of urban public bus fleets has gained significant attention. Understanding the factors influencing the energy consumption of battery-electric buses (BEBs) is crucial fo...

(This article belongs to the Special Issue Vehicle Technologies for Sustainable Smart Cities and Societies)
  • Article
  • Open Access
14 Citations
3,057 Views
20 Pages

Theoretical Analysis of Experimental Data of Sodium Diffusion in Oxidized Molybdenum Thin Films

  • Orlando Ayala,
  • Benjamin Belfore,
  • Tasnuva Ashrafee,
  • John Akwari and ,
  • Grace Rajan,
  • Shankar Karki,
  • Deewakar Poudel and
  • Sylvain Marsillac
  • + 3 authors+ 0 author

26 April 2021

In this work, the diffusion process of sodium (Na) in molybdenum (Mo) thin films while it was deposited on soda lime glass (SLG) was studied. A small amount of oxygen was present in the chamber while the direct-current (DC) magnetron sputtering was u...

(This article belongs to the Special Issue Recent Advances in Thin Film Solar Cells)
  • Article
  • Open Access
1 Citations
2,767 Views
19 Pages

7 November 2022

The appropriate feature/predictor selection is as significant as building efficient estimation methods for the accurate estimation of power consumption, which is required for self-awareness and autonomous decision systems. Traditional methodologies d...

  • Article
  • Open Access
15 Citations
7,497 Views
18 Pages

An Experimental Analysis of Drift Detection Methods on Multi-Class Imbalanced Data Streams

  • Abdul Sattar Palli,
  • Jafreezal Jaafar,
  • Heitor Murilo Gomes,
  • Manzoor Ahmed Hashmani and
  • Abdul Rehman Gilal

17 November 2022

The performance of machine learning models diminishes while predicting the Remaining Useful Life (RUL) of the equipment or fault prediction due to the issue of concept drift. This issue is aggravated when the problem setting comprises multi-class imb...

(This article belongs to the Special Issue AI Applications in the Industrial Technologies)
  • Review
  • Open Access
8 Citations
4,497 Views
13 Pages

Polarization Switching in 2D Nanoscale Ferroelectrics: Computer Simulation and Experimental Data Analysis

  • Ekaterina Paramonova,
  • Vladimir Bystrov,
  • Xiangjian Meng,
  • Hong Shen and ,
  • Jianlu Wang and
  • Vladimir Fridkin
  • + 1 author+ 0 author

15 September 2020

The polarization switching kinetics of nanosized ferroelectric crystals and the transition between homogeneous and domain switching in nanoscale ferroelectric films are considered. Homogeneous switching according to the Ginzburg-Landau-Devonshire (LG...

(This article belongs to the Special Issue Simulation and Modeling of Nanomaterials)
  • Article
  • Open Access
11 Citations
9,801 Views
17 Pages

Workflow for Data Analysis in Experimental and Computational Systems Biology: Using Python as ‘Glue’

  • Melinda Badenhorst,
  • Christopher J. Barry,
  • Christiaan J. Swanepoel,
  • Charles Theo van Staden and ,
  • Julian Wissing and
  • Johann M. Rohwer
  • + 1 author+ 0 author

18 July 2019

Bottom-up systems biology entails the construction of kinetic models of cellular pathways by collecting kinetic information on the pathway components (e.g., enzymes) and collating this into a kinetic model, based for example on ordinary differential...

(This article belongs to the Special Issue In silico metabolic modeling and engineering)
  • Article
  • Open Access
48 Citations
6,014 Views
24 Pages

10 April 2023

There are many state-of-the-art algorithms presented in the literature that perform very well on some evaluation data but are not studied with the data properties on which they are applied; therefore, they could have low performance on data with othe...

(This article belongs to the Special Issue Industrial Big Data and Process Modelling for Smart Manufacturing)
  • Article
  • Open Access
20 Citations
5,087 Views
13 Pages

The Analysis of Wheat Yield Variability Based on Experimental Data from 2008–2018 to Understand the Yield Gap

  • Elżbieta Wójcik-Gront,
  • Marzena Iwańska,
  • Agnieszka Wnuk and
  • Tadeusz Oleksiak

Among European countries, Poland has the largest gap in the grain yield of winter wheat, and thus the greatest potential to reduce this yield gap. This paper aims to recognize the main reasons for winter wheat yield variability and shed the light on...

(This article belongs to the Section Crop Production)
  • Article
  • Open Access
4 Citations
4,423 Views
12 Pages

Analysis of the Twisting Tension in the Direct-Twisting Machine and the Fitting Model Based on the Experimental Data

  • Shunqi Mei,
  • Mengying Zhang,
  • Di Qi,
  • Liye Yang and ,
  • Qiao Xu and
  • Ming Zhang
  • + 1 author+ 0 author

24 April 2022

The tension of the balloon yarn in the direct-twisting machine affects the yarn breakage and balloon shape, which in turn affects the energy consumption and yarn productivity of the direct-twisting machine. At present, research on the balloon tension...

(This article belongs to the Special Issue Selected Papers from MMSE 2021)
  • Article
  • Open Access
1,369 Views
15 Pages

Neuromusculoskeletal Control for Simulated Precision Task versus Experimental Data in Trajectory Deviation Analysis

  • Jean Mendes Nascimento,
  • Camila Taira,
  • Eric Cito Becman and
  • Arturo Forner-Cordero

25 February 2025

Control remains a challenge in precision applications in robotics, particularly when combined with execution in small time intervals. This study employed a two-degree-of-freedom (2-DoF) planar robotic arm driven by a detailed human musculoskeletal mo...

(This article belongs to the Special Issue Biomimetic Innovations for Human–Machine Interaction)
  • Feature Paper
  • Article
  • Open Access
2 Citations
2,193 Views
19 Pages

16 June 2025

Among the concentrating solar power (CSP) technologies, the parabolic trough (PT) solar collector is a proven technology mainly used to produce electricity and heat for industrial processes. Since 2003, a stand-alone Molten Salt Parabolic Trough (MSP...

(This article belongs to the Special Issue Advanced Solar Technologies and Thermal Energy Storage)
  • Perspective
  • Open Access
666 Citations
31,514 Views
31 Pages

Systems Biology and Multi-Omics Integration: Viewpoints from the Metabolomics Research Community

  • Farhana R. Pinu,
  • David J. Beale,
  • Amy M. Paten,
  • Konstantinos Kouremenos and ,
  • Sanjay Swarup,
  • Horst J. Schirra and
  • David Wishart
  • + 2 authors+ 0 author

The use of multiple omics techniques (i.e., genomics, transcriptomics, proteomics, and metabolomics) is becoming increasingly popular in all facets of life science. Omics techniques provide a more holistic molecular perspective of studied biological...

(This article belongs to the Section Food Metabolomics)
  • Review
  • Open Access
5 Citations
3,084 Views
36 Pages

Progress in the Application of Laser-Induced Breakdown Spectroscopy in Coal Quality Analysis

  • Ning Guo,
  • Li Xu,
  • Wei Gao,
  • Hongwei Xia and ,
  • Min Xie and
  • Xiaohan Ren
  • + 1 author+ 0 author

19 July 2024

In recent years, with the increase in environmental awareness, people have become more and more concerned about the effectiveness with which coal burns. Laser-induced breakdown spectroscopy (LIBS) has become an important way of coal elemental analysi...

(This article belongs to the Section K: State-of-the-Art Energy Related Technologies)

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