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Most Cited

  • Feature Paper
  • Review
  • Open Access
93 Citations
28,853 Views
21 Pages

A Review on Vibration Monitoring Techniques for Predictive Maintenance of Rotating Machinery

  • Marcelo Romanssini,
  • Paulo César C. de Aguirre,
  • Lucas Compassi-Severo and
  • Alessandro G. Girardi

26 June 2023

Machine failure in modern industry leads to lost production and reduced competitiveness. Maintenance costs represent between 15% and 60% of the manufacturing cost of the final product, and in heavy industry, these costs can be as high as 50% of the t...

  • Feature Paper
  • Review
  • Open Access
87 Citations
28,173 Views
22 Pages

A Review of Hybrid Renewable Energy Systems: Architectures, Battery Systems, and Optimization Techniques

  • Juan Carlos León Gómez,
  • Susana Estefany De León Aldaco and
  • Jesus Aguayo Alquicira

24 May 2023

This paper aims to perform a literature review and statistical analysis based on data extracted from 38 articles published between 2018 and 2023 that address hybrid renewable energy systems. The main objective of this review has been to create a bibl...

  • Review
  • Open Access
62 Citations
19,321 Views
34 Pages

28 June 2024

The impacts that the available energy sources have had on society, the environment, and the economy have become a focus of attention in recent years, generating polarization of opinions. Understanding these impacts is crucial for rational evaluation...

  • Review
  • Open Access
48 Citations
15,783 Views
32 Pages

3 July 2024

The explosion of data volume in the digital age has completely changed the corporate and industrial environments. In-depth analysis of large datasets to support strategic decision-making and innovation is the main focus of this paper’s explorat...

  • Review
  • Open Access
47 Citations
19,079 Views
29 Pages

15 October 2024

Wastewater Treatment Plants (WWTPs) encompass a range of processes from preliminary to advanced stages. Conventional treatments are increasingly inadequate for handling emergent pollutants, particularly organic compounds with carcinogenic potential t...

  • Review
  • Open Access
46 Citations
15,892 Views
27 Pages

RSSI and Machine Learning-Based Indoor Localization Systems for Smart Cities

  • R. M. M. R. Rathnayake,
  • Madduma Wellalage Pasan Maduranga,
  • Valmik Tilwari and
  • Maheshi B. Dissanayake

28 May 2023

The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has significantly increased the demand for Location-Based Services (LBS) in today’s world. Among these services, indoor positioning and navigation have emerged as cru...

  • Feature Paper
  • Review
  • Open Access
45 Citations
10,499 Views
14 Pages

31 May 2023

Multi-criteria decision-making (MCDM) methods have gained increased attention in sustainable engineering, where complex decision-making problems require consideration of multiple criteria and stakeholder perspectives. This review paper provides a com...

  • Review
  • Open Access
42 Citations
14,821 Views
35 Pages

A Comprehensive Review on Wireless Power Transfer Systems for Charging Portable Electronics

  • Arpan Laha,
  • Abirami Kalathy,
  • Majid Pahlevani and
  • Praveen Jain

3 April 2023

Wireless power transfer (WPT) for portable electronic applications has been gaining a lot of interest over the past few decades. This study provides a comprehensive review of the recent advancements in WPT technology, along with the challenges faced...

  • Article
  • Open Access
40 Citations
4,486 Views
23 Pages

3 November 2023

Material extrusion is a popular additive manufacturing technology due to its low cost, wide market availability, ability to construct complex parts, safety, and cleanliness. However, optimizing the process parameters to obtain the best possible mecha...

  • Review
  • Open Access
36 Citations
8,119 Views
41 Pages

9 September 2024

The push for sustainability in nanomaterials has catalyzed significant advancements in the green synthesis of carbon dots (CDs) from renewable resources. This review uniquely explores recent innovations, including the integration of hybrid techniques...

  • Feature Paper
  • Article
  • Open Access
35 Citations
4,564 Views
15 Pages

Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers

  • Stephen Afrifa,
  • Vijayakumar Varadarajan,
  • Peter Appiahene,
  • Tao Zhang and
  • Emmanuel Adjei Domfeh

16 February 2023

The transmission of information, ideas, and thoughts requires communication, which is a crucial component of human contact. The utilization of Internet of Things (IoT) devices is a result of the advent of enormous volumes of messages delivered over t...

  • Review
  • Open Access
35 Citations
13,396 Views
34 Pages

30 April 2024

This comprehensive literature review investigates the impact of stabilization and reinforcement techniques on the mechanical, hygrothermal properties, and durability of adobe and compressed earth blocks (CEBs). Recent advancements in understanding th...

  • Review
  • Open Access
33 Citations
14,481 Views
38 Pages

Development and Applications of 3D Printing-Processed Auxetic Structures for High-Velocity Impact Protection: A Review

  • Raí Felipe Pereira Junio,
  • Pedro Henrique Poubel Mendonça da Silveira,
  • Lucas de Mendonça Neuba,
  • Sergio Neves Monteiro and
  • Lucio Fabio Cassiano Nascimento

8 March 2023

Auxetic structures (AXSs) are a novel class of materials with unique mechanical deformation behavior associated with negative Poisson ratio. The combination of AXS configurations with various types of materials has unveiled a wide field of applicatio...

  • Feature Paper
  • Review
  • Open Access
33 Citations
22,670 Views
39 Pages

4 July 2024

Carbon dioxide (CO2), as the primary greenhouse gas, has significant impacts on global climate change, leading to severe and irreversible adverse consequences for ecosystems and human environments. To address the issue of excessive CO2 emissions, eff...

  • Feature Paper
  • Review
  • Open Access
32 Citations
6,095 Views
48 Pages

Review of Graphene-Based Materials for Tribological Engineering Applications

  • Eduardo Tomanik,
  • Wania Christinelli,
  • Roberto M. Souza,
  • Vanessa L. Oliveira,
  • Fabio Ferreira and
  • Boris Zhmud

6 November 2023

Graphene-based materials have great potential for tribological applications. Graphene’s unique properties such as low shear resistance, high stiffness, and thermal conductivity make it an attractive material for improving the properties of lubr...

  • Article
  • Open Access
28 Citations
5,770 Views
19 Pages

Production-Process Simulation and Life-Cycle Assessment of Metakaolin as Supplementary Cementitious Material

  • Theodora Tasiopoulou,
  • Dimitrios Katsourinis,
  • Dimitrios Giannopoulos and
  • Maria Founti

1 March 2023

An environmental assessment of metakaolin as a supplementary cementitious material (SCM) through an integrated production-process-simulation and Life-Cycle-Assessment (LCA) approach is presented in this work. Initially, process simulation models were...

  • Review
  • Open Access
28 Citations
15,936 Views
24 Pages

15 January 2025

This paper explores the historical development of conventional plastics, tracing their evolution from early forms to their pervasive use in modern society. Its observations include the rise of mass plastic production during World War II and the post-...

  • Article
  • Open Access
26 Citations
10,375 Views
31 Pages

31 May 2023

Cold weather conditions pose significant challenges to the performance and durability of concrete materials, construction processes, and structures. This paper aims to provide a comprehensive overview of the material-related challenges in cold weathe...

  • Review
  • Open Access
25 Citations
5,495 Views
43 Pages

18 April 2024

The integration of renewable energy sources, such as wind and solar, into co-located hybrid power plants (HPPs) has gained significant attention as an innovative solution to address the intermittency and variability inherent in renewable systems amon...

  • Feature Paper
  • Article
  • Open Access
24 Citations
6,549 Views
19 Pages

Microservice-Oriented Architecture for Industry 4.0

  • Ricardo Pasquati Pontarolli,
  • Jeferson André Bigheti,
  • Lucas Borges Rodrigues de Sá and
  • Eduardo Paciencia Godoy

19 April 2023

Industry 4.0 (I4.0) is characterized by the integration of digital technologies into manufacturing processes and highlights new requirements for industrial systems such as greater interoperability, decentralization, modularization, and independence....

  • Review
  • Open Access
24 Citations
15,293 Views
67 Pages

21 April 2025

Hydrogen (H2) is a key energy vector in the global transition toward clean and sustainable energy systems. Among the various production methods, water electrolysis presents a promising pathway for zero-emission hydrogen generation when powered by ren...

  • Article
  • Open Access
23 Citations
1,953 Views
21 Pages

Engineering Biomedical Problems to Detect Carcinomas: A Tomographic Impedance Approach

  • Filippo Laganà,
  • Danilo Prattico,
  • Domenico De Carlo,
  • Giuseppe Oliva,
  • Salvatore A. Pullano and
  • Salvatore Calcagno

25 July 2024

Computed tomography (CT), magnetic resonance imaging (MRI), and radiography expose patients to electromagnetic fields (EMFs) and ionizing radiation. As an alternative, Electrical Impedance Tomography (EIT) offers a less EMF-influenced method for imag...

  • Article
  • Open Access
21 Citations
4,745 Views
28 Pages

Prediction of Key Parameters in the Design of CO2 Miscible Injection via the Application of Machine Learning Algorithms

  • Mohamed Hamadi,
  • Tayeb El Mehadji,
  • Aimen Laalam,
  • Noureddine Zeraibi,
  • Olusegun Stanley Tomomewo,
  • Habib Ouadi and
  • Abdesselem Dehdouh

7 July 2023

The accurate determination of key parameters, including the CO2-hydrocarbon solubility ratio (Rs), interfacial tension (IFT), and minimum miscibility pressure (MMP), is vital for the success of CO2-enhanced oil recovery (CO2-EOR) projects. This study...

  • Review
  • Open Access
21 Citations
6,210 Views
20 Pages

Applications of Machine Learning in Mechanised Tunnel Construction: A Systematic Review

  • Feng Shan,
  • Xuzhen He,
  • Haoding Xu,
  • Danial Jahed Armaghani and
  • Daichao Sheng

30 May 2023

Tunnel Boring Machines (TBMs) have become prevalent in tunnel construction due to their high efficiency and reliability. The proliferation of data obtained from site investigations and data acquisition systems provides an opportunity for the applicat...

  • Feature Paper
  • Review
  • Open Access
20 Citations
4,782 Views
30 Pages

17 November 2023

The phenomenon of snap-off during imbibition in porous media, a fundamental two-phase fluid flow phenomenon, plays a crucial role in both crude oil production and carbon dioxide (CO2) utilization and storage. In porous media where two phases coexist,...

  • Review
  • Open Access
20 Citations
6,176 Views
30 Pages

A Comprehensive Review of Smartphone and Other Device-Based Techniques for Road Surface Monitoring

  • Saif Alqaydi,
  • Waleed Zeiada,
  • Ahmed El Wakil,
  • Ali Juma Alnaqbi and
  • Abdelhalim Azam

16 December 2024

Deteriorating road infrastructure is a global concern, especially in low-income countries where financial and technological constraints hinder effective monitoring and maintenance. Traditional methods, like inertial profilers, are expensive and compl...

  • Review
  • Open Access
19 Citations
7,814 Views
47 Pages

Amazon Natural Fibers for Application in Engineering Composites and Sustainable Actions: A Review

  • Pedro Henrique Poubel Mendonça da Silveira,
  • Bruno Figueira de Abreu Ferreira Cardoso,
  • Belayne Zanini Marchi and
  • Sergio Neves Monteiro

12 January 2024

The Amazon rainforest, spanning multiple countries in South America, is the world’s largest equatorial expanse, housing a vast array of relatively unknown plant and animal species. Encompassing the planet’s greatest flora, the Amazon offe...

  • Article
  • Open Access
19 Citations
5,540 Views
25 Pages

Machine Learning-Based Real-Time Prediction of Formation Lithology and Tops Using Drilling Parameters with a Web App Integration

  • Houdaifa Khalifa,
  • Olusegun Stanley Tomomewo,
  • Uchenna Frank Ndulue and
  • Badr Eddine Berrehal

21 September 2023

The accurate prediction of underground formation lithology class and tops is a critical challenge in the oil industry. This paper presents a machine-learning (ML) approach to predict lithology from drilling data, offering real-time litho-facies ident...

  • Review
  • Open Access
18 Citations
7,525 Views
29 Pages

25 January 2024

At the initial phases of tunnel design, information on rock properties is often limited. In such instances, the engineering classification of the rock is recommended as a primary assessment of its geotechnical condition. This paper reviews different...

  • Review
  • Open Access
18 Citations
11,251 Views
34 Pages

3 October 2024

Nanofluids have gained significant attention as a promising solution to several challenges in drilling operations. Nanoparticles, due to their exclusive properties such as high specific surface area, strong adsorption potential, and excellent thermal...

  • Review
  • Open Access
17 Citations
7,788 Views
21 Pages

Machine and Deep Learning Trends in EEG-Based Detection and Diagnosis of Alzheimer’s Disease: A Systematic Review

  • Marcos Aviles,
  • Luz María Sánchez-Reyes,
  • José Manuel Álvarez-Alvarado and
  • Juvenal Rodríguez-Reséndiz

16 July 2024

This article presents a systematic review using PRISMA methodology to explore trends in the use of machine and deep learning in diagnosing and detecting Alzheimer’s disease using electroencephalography. This review covers studies published betw...

  • Feature Paper
  • Article
  • Open Access
17 Citations
5,609 Views
13 Pages

Development of Interior and Exterior Automotive Plastics Parts Using Kenaf Fiber Reinforced Polymer Composite

  • Akubueze Emmanuel Uzoma,
  • Chiemerie Famous Nwaeche,
  • Md. Al-Amin,
  • Oluwa Segun Muniru,
  • Ololade Olatunji and
  • Sixtus Onyedika Nzeh

17 June 2023

The integration of sustainable components in automotive parts is in growing demand. This study involves the entire process, from the extraction of kenaf cellulosic fibers to the fabrication of automotive parts by applying injection molding (sample on...

  • Review
  • Open Access
16 Citations
4,662 Views
19 Pages

19 June 2023

As a valuable mineral resource, uranium is extensively utilized in nuclear power generation, radiation therapy, isotope labeling, and tracing. In order to achieve energy structure diversification, reduce dependence on traditional fossil fuels, and pr...

  • Article
  • Open Access
16 Citations
3,540 Views
11 Pages

Implementation of Cloud Point Extraction Using Surfactants in the Recovery of Polyphenols from Apricot Cannery Waste

  • Ioannis Giovanoudis,
  • Vassilis Athanasiadis,
  • Theodoros Chatzimitakos,
  • Dimitrios Kalompatsios,
  • Eleni Bozinou,
  • Olga Gortzi,
  • George D. Nanos and
  • Stavros I. Lalas

21 April 2023

The objective of this study was to investigate the feasibility of using Cloud Point Extraction (CPE) to isolate natural antioxidants (polyphenols) from apricot cannery waste (ACW). Four different food-grade surfactants (Genapol X-080, PEG 8000, Tween...

  • Article
  • Open Access
15 Citations
7,592 Views
15 Pages

26 September 2024

Building information modeling (BIM) is the hottest topic of the last decade in the construction sector. BIM is interacting with other technologies toward the realization of digital twins. The integration of laser scanning technology and BIM is progre...

  • Article
  • Open Access
14 Citations
3,249 Views
16 Pages

29 January 2024

The aim of this study is to examine the effect of the partial replacement of sand by Glass Fiber-Reinforced Polymer (GFRP) waste on the mechanical properties of cement mortars. Compressive and flexural tests were carried out on mortars containing 0,...

  • Article
  • Open Access
14 Citations
5,080 Views
13 Pages

Investigation of the Polyphenol Recovery of Overripe Banana Peel Extract Utilizing Cloud Point Extraction

  • Vassilis Athanasiadis,
  • Theodoros Chatzimitakos,
  • Martha Mantiniotou,
  • Dimitrios Kalompatsios,
  • Eleni Bozinou and
  • Stavros I. Lalas

18 December 2023

Consuming fruits and vegetables necessitates discarding the inedible parts, which raises issues such as waste management and contamination of the environment. Numerous studies have been conducted in recent years in an effort to identify alternatives...

  • Article
  • Open Access
14 Citations
5,673 Views
20 Pages

Vibration Analysis of a Centrifugal Pump with Healthy and Defective Impellers and Fault Detection Using Multi-Layer Perceptron

  • Masoud Hatami Garousi,
  • Mahdi Karimi,
  • Paolo Casoli,
  • Massimo Rundo and
  • Rasoul Fallahzadeh

8 October 2024

Centrifugal pumps (CPs) are widely utilized in many different industries, and their operations are maintained by their reliable performance. CPs’ most common faults can be categorized as mechanical or flow-related faults: the first ones are oft...

  • Article
  • Open Access
14 Citations
1,454 Views
16 Pages

2 September 2024

The Combined Cooling, Heat, and Power (CCHP) System is an efficient technology that reduces primary energy consumption and carbon dioxide emissions by generating heat, cold, and electricity simultaneously from the same fuel source. This study develop...

  • Article
  • Open Access
13 Citations
6,680 Views
33 Pages

Fundamental Components and Principles of Supervised Machine Learning Workflows with Numerical and Categorical Data

  • Styliani I. Kampezidou,
  • Archana Tikayat Ray,
  • Anirudh Prabhakara Bhat,
  • Olivia J. Pinon Fischer and
  • Dimitri N. Mavris

29 February 2024

This paper offers a comprehensive examination of the process involved in developing and automating supervised end-to-end machine learning workflows for forecasting and classification purposes. It offers a complete overview of the components (i.e., fe...

  • Feature Paper
  • Article
  • Open Access
13 Citations
2,755 Views
14 Pages

Water Saturation Prediction in the Middle Bakken Formation Using Machine Learning

  • Ilyas Mellal,
  • Abdeljalil Latrach,
  • Vamegh Rasouli,
  • Omar Bakelli,
  • Abdesselem Dehdouh and
  • Habib Ouadi

11 July 2023

Tight reservoirs around the world contain a significant volume of hydrocarbons; however, the heterogeneity of these reservoirs limits the recovery of the original oil in place to less than 20%. Accurate characterization is therefore needed to underst...

  • Review
  • Open Access
13 Citations
5,300 Views
25 Pages

Macromolecules: Contemporary Futurist Thoughts on Progressive Journey

  • Tomy Muringayil Joseph,
  • Mohamed S. Hasanin,
  • Aparna Beena Unni,
  • Debarshi Kar Mahapatra,
  • Jozef Haponiuk and
  • Sabu Thomas

22 February 2023

The 1920 paper by Hermann Staudinger, which introduced the groundbreaking theory of the existence of long-chain molecules made up of many covalently linked monomeric units, was remembered in 2020 for the 100th anniversary of its publication. This art...

  • Article
  • Open Access
13 Citations
9,318 Views
13 Pages

8 March 2023

Any stretch of coastline requires protection when the rate of erosion exceeds a certain threshold and seasonal coastal drift fluctuations fail to restore balance. Coast erosion can be caused by natural, synthetic, or a combination of the two. Severe...

  • Article
  • Open Access
13 Citations
4,254 Views
14 Pages

9 February 2023

Musical timbre is a phenomenon of auditory perception that allows the recognition of musical sounds. The recognition of musical timbre is a challenging task because the timbre of a musical instrument or sound source is a complex and multifaceted phen...

  • Article
  • Open Access
13 Citations
7,694 Views
16 Pages

A Deep Learning-Based Approach for Precise Emotion Recognition in Domestic Animals Using EfficientNetB5 Architecture

  • Rashadul Islam Sumon,
  • Haider Ali,
  • Salma Akter,
  • Shah Muhammad Imtiyaj Uddin,
  • Md Ariful Islam Mozumder and
  • Hee-Cheol Kim

3 January 2025

The perception of animal emotions is key to enhancing veterinary practice, human–animal interactions, and protecting domesticated species’ welfare. This study presents a unique emotion classification deep learning-based approach for pet a...

  • Review
  • Open Access
13 Citations
4,384 Views
36 Pages

A Review—Durability, Mechanical and Hygrothermal Behavior of Building Materials Incorporating Biomass

  • Houssam Affan,
  • Badreddine El Haddaji,
  • Soukaina Ajouguim and
  • Fouzia Khadraoui

1 June 2024

The growing importance of environmental efficiency in reducing carbon emissions has prompted scientists around the world to intensify their efforts to prevent the destructive effects of a changing climate and a warming planet. Global carbon emissions...

  • Feature Paper
  • Review
  • Open Access
13 Citations
6,976 Views
14 Pages

4 July 2023

With the interest aroused by the development of modern concretes such as printable or self-compacting concretes, a better understanding of the rheological behavior, directly linked to fresh state properties, seems essential. This paper aims to provid...

  • Review
  • Open Access
13 Citations
10,527 Views
34 Pages

22 April 2025

Brain tumors pose a significant challenge in medical research due to their associated morbidity and mortality. Magnetic Resonance Imaging (MRI) is the premier imaging technique for analyzing these tumors without invasive procedures. Recent years have...

  • Review
  • Open Access
13 Citations
4,788 Views
25 Pages

Towards Sustainable Scaling-Up of Nanomaterials Fabrication: Current Situation, Challenges, and Future Perspectives

  • Mouad Hachhach,
  • Sanae Bayou,
  • Achraf El Kasmi,
  • Mohamed Zoubair Saidi,
  • Hanane Akram,
  • Mounir Hanafi,
  • Ouafae Achak,
  • Chaouki El Moujahid and
  • Tarik Chafik

1 July 2025

Nanomaterials are present everywhere today and represent the new industrial revolution. Depending on the application, there are many ways to synthesize nanomaterials with different properties. The industrial production of nanomaterials faces various...

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Eng - ISSN 2673-4117