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602 Results Found

  • Article
  • Open Access
2 Citations
1,382 Views
19 Pages

7 September 2025

During the working process of the wheel loader, the repeated cycle of the shoveling and unloading process will produce an impact, so the loader is under a cyclic load for a long time, which leads to the frequent failure of its main parts. In this stu...

  • Feature Paper
  • Review
  • Open Access
18 Citations
7,022 Views
24 Pages

Pioneering the Future: A Trailblazing Review of the Fusion of Computational Fluid Dynamics and Machine Learning Revolutionizing Plasma Catalysis and Non-Thermal Plasma Reactor Design

  • Muhammad Yousaf Arshad,
  • Anam Suhail Ahmad,
  • Jakub Mularski,
  • Aleksandra Modzelewska,
  • Mateusz Jackowski,
  • Halina Pawlak-Kruczek and
  • Lukasz Niedzwiecki

6 January 2024

The advancement of plasma technology is intricately linked with the utilization of computational fluid dynamics (CFD) models, which play a pivotal role in the design and optimization of industrial-scale plasma reactors. This comprehensive compilation...

  • Article
  • Open Access
5 Citations
3,322 Views
33 Pages

24 February 2021

We consider the problem of determinizing and minimizing automata for nested words in practice. For this we compile the nested regular expressions (NREs) from the usual XPath benchmark to nested word automata (NWAs). The determinization of these NWAs,...

  • Editorial
  • Open Access
4 Citations
2,330 Views
3 Pages

The use of renewable energy sources (RESs) is a need of global society. This editorial, and its associated Special Issue “Grid-Connected Renewable Energy Sources”, offer a compilation of some of the recent advances in the analysis of current power sy...

  • Data Descriptor
  • Open Access
4 Citations
3,702 Views
16 Pages

20 July 2023

For over two decades, scholars and practitioners have emphasized the importance of digital literacy, yet the existing datasets are insufficient for establishing learning analytics in Thailand. Learning analytics focuses on gathering and analyzing stu...

  • Review
  • Open Access
49 Citations
7,865 Views
21 Pages

Recent Developments in Rodent Models of High-Fructose Diet-Induced Metabolic Syndrome: A Systematic Review

  • Alvin Man Lung Chan,
  • Angela Min Hwei Ng,
  • Mohd Heikal Mohd Yunus,
  • Ruszymah Bt Hj Idrus,
  • Jia Xian Law,
  • Muhammad Dain Yazid,
  • Kok-Yong Chin,
  • Sharen Aini Shamsuddin and
  • Yogeswaran Lokanathan

22 July 2021

Metabolic syndrome (MetS) is the physiological clustering of hypertension, hyperglycemia, hyperinsulinemia, dyslipidemia, and insulin resistance. The MetS-related chronic illnesses encompass obesity, the cardiovascular system, renal operation, hepati...

  • Review
  • Open Access
7 Citations
3,868 Views
16 Pages

26 June 2021

Agricultural land in Europe is affected by low rooting depth (LRD) on 27.9 Mha. This marginal agricultural land can potentially be used to grow industrial crops without directly threatening food security or biodiversity conservation. However, little...

  • Article
  • Open Access
2,250 Views
18 Pages

13 December 2023

Food Frequency Questionnaires (FFQs) are important instruments to assess dietary intake in large epidemiological studies. To determine dietary intake correctly, food lists need to be adapted depending on the study aim and the target population. The p...

  • Article
  • Open Access
4 Citations
2,626 Views
19 Pages

10 November 2022

The desirable characteristics of effective natural enemies and the causes for failure of biological control efforts have been discussed extensively in the literature, yet predicting which collection site may yield efficient natural enemies remains a...

  • Article
  • Open Access
6 Citations
2,842 Views
17 Pages

Planning Under Uncertainty Applications in Power Plants Using Factored Markov Decision Processes

  • Alberto Reyes,
  • L. Enrique Sucar,
  • Pablo H. Ibargüengoytia and
  • Eduardo F. Morales

6 May 2020

Due to its ability to deal with non-determinism and partial observability, represent goals as an immediate reward function and find optimal solutions, planning under uncertainty using factored Markov Decision Processes (FMDPs) has increased its impor...

  • Article
  • Open Access
1,881 Views
13 Pages

Efficiency of Various Tiling Strategies for the Zuker Algorithm Optimization

  • Piotr Blaszynski,
  • Marek Palkowski,
  • Wlodzimierz Bielecki and
  • Maciej Poliwoda

29 February 2024

This paper focuses on optimizing the Zuker RNA folding algorithm, a bioinformatics task with non-serial polyadic dynamic programming and non-uniform loop dependencies. The intricate dependence pattern is represented using affine formulas, enabling th...

  • Article
  • Open Access
37 Citations
8,464 Views
14 Pages

17 July 2013

Sensor drift is currently the most challenging problem in gas sensing. We propose a novel ensemble method with dynamic weights based on fitting (DWF) to solve the gas discrimination problem, regardless of the gas concentration, with high accuracy ove...

  • Article
  • Open Access
1,099 Views
22 Pages

11 April 2025

The TDM Test Scheduler and TAM Optimization Toolkit is a novel, integrated, and user-friendly solution designed for engineers, researchers, and instructors working in the field of manufacturing tests. It effectively supports test planning for multico...

  • Article
  • Open Access
4 Citations
8,953 Views
13 Pages

Thermal sensors (TS) are essential for achieving optimized performance and reliability in the era of nanoscale microprocessor and system on chip (SoC). Compiling with the low-power and small die area of the mobile computing, the presented TS supports...

  • Article
  • Open Access
1 Citations
1,404 Views
18 Pages

29 August 2024

An innovative optimal design framework is developed aiming at enhancing the crashworthiness while ensuring the lightweight design of a hybrid two-dimensional triaxial braided composite (2DTBC) tube, drawing insights from the mesostructure of the comp...

  • Article
  • Open Access
9 Citations
3,887 Views
17 Pages

16 July 2023

A Wigner-Ville transform-based (WVT-based) load spectrum fast editing method for vehicle parts is proposed to improve the efficiency of durability tests. In this method, the instantaneous energy spectrum (IES) of the original time-domain signal is ob...

  • Article
  • Open Access
11 Citations
3,731 Views
22 Pages

Evaluating Information-Retrieval Models and Machine-Learning Classifiers for Measuring the Social Perception towards Infectious Diseases

  • Oscar Apolinardo-Arzube,
  • José Antonio García-Díaz,
  • José Medina-Moreira,
  • Harry Luna-Aveiga and
  • Rafael Valencia-García

18 July 2019

Recent outbreaks of infectious diseases remind us the importance of early-detection systems improvement. Infodemiology is a novel research field that analyzes online information regarding public health that aims to complement traditional surveillance...

  • Article
  • Open Access
521 Views
21 Pages

The proliferation of binary vulnerabilities in the software supply chain has become a critical security challenge. Existing vulnerability detection approaches—including dynamic analysis, static analysis, and decompilation-assisted analysis&mdas...

  • Review
  • Open Access
55 Citations
10,275 Views
21 Pages

19 December 2021

Inkjet printing of two-dimensional (2D) material has been a center of interest for wearable electronics and has become a promising platform for next-generation technologies. Despite the enormous progress made in printed 2D materials, there are still...

  • Review
  • Open Access
76 Citations
12,390 Views
29 Pages

Advanced Computational Methods for Modeling, Prediction and Optimization—A Review

  • Jaroslaw Krzywanski,
  • Marcin Sosnowski,
  • Karolina Grabowska,
  • Anna Zylka,
  • Lukasz Lasek and
  • Agnieszka Kijo-Kleczkowska

16 July 2024

This paper provides a comprehensive review of recent advancements in computational methods for modeling, simulation, and optimization of complex systems in materials engineering, mechanical engineering, and energy systems. We identified key trends an...

  • Article
  • Open Access
7 Citations
3,872 Views
26 Pages

An Overlay Accelerator of DeepLab CNN for Spacecraft Image Segmentation on FPGA

  • Zibo Guo,
  • Kai Liu,
  • Wei Liu,
  • Xiaoyao Sun,
  • Chongyang Ding and
  • Shangrong Li

2 March 2024

Due to the absence of communication and coordination with external spacecraft, non-cooperative spacecraft present challenges for the servicing spacecraft in acquiring information about their pose and location. The accurate segmentation of non-coopera...

  • Review
  • Open Access
60 Citations
7,563 Views
33 Pages

Topographic Orientation of Scaffolds for Tissue Regeneration: Recent Advances in Biomaterial Design and Applications

  • Jiayu Chi,
  • Mingyue Wang,
  • Jialin Chen,
  • Lizhi Hu,
  • Zhixuan Chen,
  • Ludvig J. Backman and
  • Wei Zhang

12 September 2022

Tissue engineering to develop alternatives for the maintenance, restoration, or enhancement of injured tissues and organs is gaining more and more attention. In tissue engineering, the scaffold used is one of the most critical elements. Its character...

  • Systematic Review
  • Open Access
5 Citations
6,008 Views
40 Pages

Transpilers: A Systematic Mapping Review of Their Usage in Research and Industry

  • Andrés Bastidas Fuertes,
  • María Pérez and
  • Jaime Meza Hormaza

13 March 2023

Transpilers refer to a special type of compilation that takes source code and translates it into target source code. This type of technique has been used for different types of implementations in scientific studies. A review of the research areas rel...

  • Article
  • Open Access
3 Citations
3,452 Views
27 Pages

Similarity-Aware Architecture/Compiler Co-Designed Context-Reduction Framework for Modulo-Scheduled CGRA

  • Zhongyuan Zhao,
  • Weiguang Sheng,
  • Jinchao Li,
  • Pengfei Ye,
  • Qin Wang and
  • Zhigang Mao

9 September 2021

Modulo-scheduled coarse-grained reconfigurable array (CGRA) processors have shown their potential for exploiting loop-level parallelism at high energy efficiency. However, these CGRAs need frequent reconfiguration during their execution, which makes...

  • Article
  • Open Access
9 Citations
6,893 Views
16 Pages

In modern computers, complicated signal processing is highly optimized with the use of compilers and high-speed processing using floating-point units (FPUs); therefore, programmers have little opportunity to care about each process. However, a highly...

  • Review
  • Open Access
8 Citations
14,745 Views
17 Pages

10 September 2009

This review compiles the work performed in the field of organic solid-state lasers with the hole-transporting organic molecule N,N´-bis(3-methylphenyl)-N,N´-diphenylbenzidine system (TPD), in view of improving active laser material properties. The op...

  • Review
  • Open Access
56 Citations
8,301 Views
25 Pages

18 June 2019

The cinnoline nucleus is a very important bicyclic heterocycle that is used as the structural subunit of many compounds with interesting pharmaceutical properties. Cinnoline derivatives exhibit broad spectrum of pharmacological activities such as ant...

  • Article
  • Open Access
6 Citations
7,352 Views
24 Pages

Integrating Pareto Optimization into Dynamic Programming

  • Thomas Gatter,
  • Robert Giegerich and
  • Cédric Saule

27 January 2016

Pareto optimization combines independent objectives by computing the Pareto front of the search space, yielding a set of optima where none scores better on all objectives than any other. Recently, it was shown that Pareto optimization seamlessly inte...

  • Article
  • Open Access
1 Citations
1,826 Views
32 Pages

Prime Time Tactics—Sieve Tweaks and Boosters

  • Mircea Ghidarcea and
  • Decebal Popescu

3 July 2024

In a landscape where interest in prime sieving has waned and practitioners are few, we are still hoping for a domain renaissance, fueled by a resurgence of interest and a fresh wave of innovation. Building upon years of extensive research and experim...

  • Review
  • Open Access
199 Citations
16,104 Views
42 Pages

The Sugar-Signaling Hub: Overview of Regulators and Interaction with the Hormonal and Metabolic Network

  • Soulaiman Sakr,
  • Ming Wang,
  • Fabienne Dédaldéchamp,
  • Maria-Dolores Perez-Garcia,
  • Laurent Ogé,
  • Latifa Hamama and
  • Rossitza Atanassova

Plant growth and development has to be continuously adjusted to the available resources. Their optimization requires the integration of signals conveying the plant metabolic status, its hormonal balance, and its developmental stage. Many investigatio...

  • Article
  • Open Access
20 Citations
3,957 Views
26 Pages

Landslide Assessment Classification Using Deep Neural Networks Based on Climate and Geospatial Data

  • Yadviga Tynchenko,
  • Vladislav Kukartsev,
  • Vadim Tynchenko,
  • Oksana Kukartseva,
  • Tatyana Panfilova,
  • Alexey Gladkov,
  • Van Nguyen and
  • Ivan Malashin

17 August 2024

This study presents a method for classifying landslide triggers and sizes using climate and geospatial data. The landslide data were sourced from the Global Landslide Catalog (GLC), which identifies rainfall-triggered landslide events globally, regar...

  • Article
  • Open Access
1 Citations
797 Views
22 Pages

Parameter Optimization Design of Adaptive Flaps for Vertical Axis Wind Turbines

  • Zhenxu Ran,
  • Weipao Miao,
  • Yongqing Lai,
  • Yurun Pan,
  • Huahao Ou and
  • Ruize Zhang

14 August 2025

To enhance the aerodynamic performance of vertical axis wind turbines (VAWTs) under complex gust conditions, the design parameters of the flap were optimized using the computational fluid dynamics (CFD) method combined with orthogonal experimental de...

  • Article
  • Open Access
2 Citations
1,430 Views
23 Pages

29 November 2024

In recent years, passenger holiday travel momentum continues to increase, which proposes a challenge to the refined transportation organization of China’s high-speed railway. In order to save the cost of transportation organization, this paper...

  • Article
  • Open Access
13 Citations
3,290 Views
11 Pages

Optimization of the Structure of the Investment Portfolio of High-Tech Companies Based on the Minimax Criterion

  • Alex Borodin,
  • Manuela Tvaronavičienė,
  • Irina Vygodchikova,
  • Galina Panaedova and
  • Andrey Kulikov

30 July 2021

A model has been developed for the optimization of the share structure of an investment portfolio in high-tech projects supported by the leaders of the leading industry companies in Russia. Several indicators (financial leverage, integrated rating of...

  • Article
  • Open Access
3 Citations
3,455 Views
21 Pages

This paper presents a novel approach for accelerating the top-k heavy hitters query in data streams using Field Programmable Gate Arrays (FPGAs). Current hardware acceleration approaches rely on the direct and strict mapping of software algorithms in...

  • Article
  • Open Access
16 Citations
6,285 Views
20 Pages

Domain-specific languages (DSLs) have the potential to provide an intuitive interface for specifying problems and solutions for domain experts. Based on this, code generation frameworks can produce compilable source code. However, apart from optimizi...

  • Article
  • Open Access
6 Citations
4,487 Views
18 Pages

3 January 2022

This paper presents a novel mathematical formulation in crew scheduling, considering real challenges most railway companies face such as roundtrip policy for crew members joining from different crew depots and stricter working time standards under a...

  • Review
  • Open Access
1 Citations
2,274 Views
24 Pages

28 February 2025

Optimization is a key management science methodology utilizing mathematical techniques to determine optimal solutions to a variety of management challenges. The biofuel production process, comparable to existing supply chain operations, consists of c...

  • Article
  • Open Access
12 Citations
4,070 Views
20 Pages

Analog System High-Level Synthesis for Energy-Efficient Reconfigurable Computing

  • Afolabi Ige,
  • Linhao Yang,
  • Hang Yang,
  • Jennifer Hasler and
  • Cong Hao

The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated too...

  • Review
  • Open Access
124 Citations
10,529 Views
23 Pages

Nanomaterials for the Photothermal Killing of Bacteria

  • Sibidou Yougbaré,
  • Chinmaya Mutalik,
  • Dyah Ika Krisnawati,
  • Heny Kristanto,
  • Achmad Jazidie,
  • Mohammad Nuh,
  • Tsai-Mu Cheng and
  • Tsung-Rong Kuo

An upsurge in the multidrug-resistant (MDR) bacterial pestilence is a global cause for concern in terms of human health. Lately, nanomaterials with photothermal effects have assisted in the efficient killing of MDR bacteria, attributable to their unc...

  • Article
  • Open Access
1,457 Views
17 Pages

29 August 2024

Carbon sequestration management of plantation forests has become an important topic in the current context of vigorously promoting carbon peaking and carbon neutrality goals and will be the goal and task of the forest industry for a long time. The ob...

  • Article
  • Open Access
17 Citations
2,805 Views
32 Pages

13 September 2022

Renewable energy sources provide an important solution in environmental protection activities and in the process of shaping sustainable development. The search for optimal locations enabling full exploitation of the energy intensity of real estate pr...

  • Technical Note
  • Open Access
192 Views
17 Pages

Increasing Computational Efficiency of a River Ice Model to Help Investigate the Impact of Ice Booms on Ice Covers Formed in a Regulated River

  • Karl-Erich Lindenschmidt,
  • Mojtaba Jandaghian,
  • Saber Ansari,
  • Denise Sudom,
  • Sergio Gomez,
  • Stephany Valarezo Plaza,
  • Amir Ali Khan,
  • Thomas Puestow and
  • Seok-Bum Ko

14 January 2026

The formation and stability of river ice covers in regulated waterways are critical for uninterrupted hydro-electric operations. This study investigates the modelling of ice cover development in the Beauharnois Canal along the St. Lawrence River with...

  • Feature Paper
  • Review
  • Open Access
143 Citations
12,376 Views
27 Pages

Artificial Neural Network Algorithms for 3D Printing

  • Muhammad Arif Mahmood,
  • Anita Ioana Visan,
  • Carmen Ristoscu and
  • Ion N. Mihailescu

31 December 2020

Additive manufacturing with an emphasis on 3D printing has recently become popular due to its exceptional advantages over conventional manufacturing processes. However, 3D printing process parameters are challenging to optimize, as they influence the...

  • Article
  • Open Access
10 Citations
13,290 Views
55 Pages

Artificial intelligence (AI) continues to enhance production efficiency across various fields of society. Considering real-time requirements and privacy issues, edge inference (EI) is shifting from cloud scenarios to edge scenarios. As intelligent mo...

  • Review
  • Open Access
1 Citations
1,500 Views
22 Pages

Exploration of Core Microorganisms and Synthetic Microbial Communities in Low-Temperature Daqu

  • Panpan Chen,
  • Dongsheng Zhang,
  • Johane Johari Mkunga,
  • Wenxi Zhai,
  • Chunhui Shan,
  • Xinquan Yang and
  • Wenchao Cai

Light-flavor Baijiu (LFB) is renowned for its distinct flavor and long history, with the microbial community structure of low-temperature Daqu (LTD) serving as a crucial saccharification fermenter that significantly influences the quality and flavor...

  • Feature Paper
  • Article
  • Open Access
1 Citations
9,279 Views
22 Pages

Design Combination Optimized Approach for Urban Stormwater and Drainage Systems Using Copula-Based Method

  • Yixuan Zhong,
  • Xiaolong Liao,
  • Ling Yi,
  • Dagang Wang,
  • Leping Wu and
  • Yuanyuan Li

27 May 2022

Waterlogging disasters cause huge loss of life and property damage every year. In this research, a Copula-based optimization method is proposed to solve the problems in bivariate design of urban stormwater and drainage systems resulting from ignoranc...

  • Review
  • Open Access
10 Citations
4,522 Views
21 Pages

Role of Pharmacogenetics in the Treatment of Acute Myeloid Leukemia: Systematic Review and Future Perspectives

  • Álvaro Pinto-Merino,
  • Jorge Labrador,
  • Pablo Zubiaur,
  • Raquel Alcaraz,
  • María José Herrero,
  • Pau Montesinos,
  • Francisco Abad-Santos and
  • Miriam Saiz-Rodríguez

Acute myeloid leukemia (AML) is a heterogeneous disease characterized by remarkable toxicity and great variability in response to treatment. Plenteous pharmacogenetic studies have already been published for classical therapies, such as cytarabine or...

  • Review
  • Open Access
60 Citations
7,988 Views
18 Pages

Statistical Design, a Powerful Tool for Optimizing Biosurfactant Production: A Review

  • Brandt Bertrand,
  • Fernando Martínez-Morales,
  • Nashbly Sarela Rosas-Galván,
  • Daniel Morales-Guzmán and
  • María R. Trejo-Hernández

Biosurfactants (Bs) have been studied for decades and applied in different industrial sectors because of their competitive biochemical characteristics, and the fact that they are environmentally friendly. Current scientific investigations mainly invo...

  • Article
  • Open Access
501 Views
18 Pages

5 December 2025

Rice husk ash (RHA) offers an eco-friendly way to improve concrete. Owing to the complex mix design of RHA concrete, accurately predicting its strength remains a challenge. This study addresses this need by compiling a dataset of 291 compressive stre...

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