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532 Results Found

  • Article
  • Open Access
18 Citations
3,370 Views
23 Pages

REM-Based Indoor Localization with an Extra-Trees Regressor

  • Toufiq Aziz,
  • Mario R. Camana,
  • Carla E. Garcia,
  • Taewoong Hwang and
  • Insoo Koo

20 October 2023

As a widely established and accessible infrastructure, wireless local area networks (WLANs) have emerged as a viable option for indoor localization for both mobile and stationary users. However, WLANs present several challenges that must be fulfilled...

  • Article
  • Open Access
1,367 Views
23 Pages

Chlorophyll-a in the Chesapeake Bay Estimated by Extra-Trees Machine Learning Modeling

  • Nikolay P. Nezlin,
  • SeungHyun Son,
  • Salem I. Salem and
  • Michael E. Ondrusek

23 June 2025

Monitoring chlorophyll-a concentration (Chl-a) is essential for assessing aquatic ecosystem health, yet its retrieval using remote sensing remains challenging in turbid coastal waters because of the intricate optical characteristics of these environm...

  • Article
  • Open Access
124 Citations
10,380 Views
14 Pages

Predicting Breast Cancer from Risk Factors Using SVM and Extra-Trees-Based Feature Selection Method

  • Ganjar Alfian,
  • Muhammad Syafrudin,
  • Imam Fahrurrozi,
  • Norma Latif Fitriyani,
  • Fransiskus Tatas Dwi Atmaji,
  • Tri Widodo,
  • Nurul Bahiyah,
  • Filip Benes and
  • Jongtae Rhee

12 September 2022

Developing a prediction model from risk factors can provide an efficient method to recognize breast cancer. Machine learning (ML) algorithms have been applied to increase the efficiency of diagnosis at the early stage. This paper studies a support ve...

  • Article
  • Open Access
50 Citations
6,011 Views
15 Pages

17 January 2021

Sensors’ existence as a key component of Cyber-Physical Systems makes it susceptible to failures due to complex environments, low-quality production, and aging. When defective, sensors either stop communicating or convey incorrect information....

  • Article
  • Open Access
2 Citations
1,128 Views
22 Pages

28 July 2025

Blasting is an effective technique for fragmenting rock in open-pit mining operations. Blasting operations produce either boulders or fine fragments, both of which increase costs and pose environmental risks. As a result, predicting the mean fragment...

  • Article
  • Open Access
2 Citations
2,687 Views
15 Pages

26 October 2020

In spectral-spatial classification of hyperspectral image tasks, the performance of conventional morphological profiles (MPs) that use a sequence of structural elements (SEs) with predefined sizes and shapes could be limited by mismatching all the si...

  • Article
  • Open Access
4 Citations
2,154 Views
19 Pages

21 August 2024

This study addresses the limitations of wireless local area networks in indoor localization by utilizing Extra-Trees Regression (ETR) to estimate locations based on received signal strength indicator (RSSI) values from a radio environment map (REM)....

  • Article
  • Open Access
35 Citations
11,077 Views
23 Pages

6 November 2023

Predicting stock market fluctuations is a difficult task due to its intricate and ever-changing nature. To address this challenge, we propose an approach to minimize forecasting errors by utilizing a classification-based technique, which is a widely...

  • Article
  • Open Access
3 Citations
1,949 Views
18 Pages

17 September 2023

The new generation of 3D video is an international frontier research hotspot. However, the large amount of data and high complexity are core problems to be solved urgently in 3D video coding. The latest generation of video coding standard versatile v...

  • Article
  • Open Access
20 Citations
5,049 Views
16 Pages

Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features

  • Md. Easin Arafat,
  • Md. Wakil Ahmad,
  • S.M. Shovan,
  • Abdollah Dehzangi,
  • Shubhashis Roy Dipta,
  • Md. Al Mehedi Hasan,
  • Ghazaleh Taherzadeh,
  • Swakkhar Shatabda and
  • Alok Sharma

31 August 2020

Post Translational Modification (PTM) is defined as the alteration of protein sequence upon interaction with different macromolecules after the translation process. Glutarylation is considered one of the most important PTMs, which is associated with...

  • Article
  • Open Access
2 Citations
1,484 Views
32 Pages

The early detection of dementia, a condition affecting both individuals and society, is essential for its effective management. However, reliance on advanced laboratory tests and specialized expertise limits accessibility, hindering timely diagnosis....

  • Article
  • Open Access
845 Views
26 Pages

16 August 2025

With the expansion of offshore and subsea infrastructure in Arctic and sub-Arctic regions, concerns are rising, driven by climate change and global warming, over the risk of drifting icebergs colliding with these structures in cold waters. Traditiona...

  • Article
  • Open Access
1,135 Views
14 Pages

State of Charge (SoC) Estimation with Electrochemical Impedance Spectroscopy (EIS) Data Using Different Ensemble Machine Learning Algorithms

  • Ernest Ozoemela Ezugwu,
  • Indranil Bhattacharya,
  • Adeloye Ifeoluwa Ayomide and
  • Mary Vinolisha Antony Dhason

13 November 2025

Accurate state of charge (SoC) estimation is critical for the safety, performance, and longevity of lithium-ion batteries in electric vehicles and energy storage systems. This study investigates the application of Electrochemical Impedance Spectrosco...

  • Article
  • Open Access
31 Citations
4,810 Views
14 Pages

New Strategies in the Cultivation of Olive Trees and Repercussions on the Nutritional Value of the Extra Virgin Olive Oil

  • Irene Dini,
  • Giulia Graziani,
  • Anna Gaspari,
  • Francesca Luisa Fedele,
  • Andrea Sicari,
  • Francesco Vinale,
  • Pierpaolo Cavallo,
  • Matteo Lorito and
  • Alberto Ritieni

The health advantages of extra-virgin olive oil (EVOO) are ascribed mainly to the antioxidant ability of the phenolic compounds. Secoiridoids, hydroxytyrosol, tyrosol, phenolic acid, and flavones, are the main nutraceutical substances of EVOO. Applic...

  • Article
  • Open Access
1 Citations
1,494 Views
17 Pages

18 October 2024

River sediment load estimation poses a critical challenge for water engineers due to its complex and nonlinear hydrological processes. This study assessed the amount of suspended sediment at the Bagh-e-Kalayeh hydrometric station on the Alamut River...

  • Article
  • Open Access
2 Citations
1,834 Views
21 Pages

18 December 2024

The development of ion-sensitive field-effect transistor (ISFET) sensors based on silicon nanowires (SiNW) has recently seen significant progress, due to their many advantages such as compact size, low cost, robustness and real-time portability. Howe...

  • Article
  • Open Access
6 Citations
2,573 Views
10 Pages

9 January 2023

As an irreplaceable structural and functional material in strategic equipment, uranium and uranium alloys are generally susceptible to corrosion reactions during service, and predicting corrosion behavior has important research significance. There ha...

  • Article
  • Open Access
4 Citations
4,310 Views
23 Pages

1 July 2019

Germany has experienced rapid growth in onshore wind capacities over the past two decades. Substantial capacities of offshore wind turbines have been added since 2013. On a local, highly-resolved level, this analysis evaluated if differences in wind...

  • Article
  • Open Access
52 Citations
10,473 Views
17 Pages

13 January 2023

This research study mainly focused on the dynamic malware detection. Malware progressively changes, leading to the use of dynamic malware detection techniques in this research study. Each day brings a new influx of malicious software programmes that...

  • Article
  • Open Access
18 Citations
4,546 Views
19 Pages

Heart Disease Prediction Using Concatenated Hybrid Ensemble Classifiers

  • Annwesha Banerjee Majumder,
  • Somsubhra Gupta,
  • Dharmpal Singh,
  • Biswaranjan Acharya,
  • Vassilis C. Gerogiannis,
  • Andreas Kanavos and
  • Panagiotis Pintelas

25 November 2023

Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dat...

  • Proceeding Paper
  • Open Access
1 Citations
1,406 Views
4 Pages

Machine Learning Model for Battle of Water Demand Forecasting

  • Mario Pagano,
  • Giovanni Francesco Santonastaso,
  • Armando Di Nardo,
  • Salvatore Cuomo and
  • Vincenzo Schiano Di Cola

3 September 2024

This article investigates the optimization of urban water distribution in the context of population growth and climate change. It highlights the use of the ExtraTreesRegressor algorithm to forecast water demand with greater accuracy. By analyzing a d...

  • Article
  • Open Access
359 Views
25 Pages

Optimizing Reservoir Characterization with Machine Learning: Predicting Coal Texture Types for Improved Gas Migration and Accumulation Analysis

  • Yuting Wang,
  • Cong Zhang,
  • Yahya Wahib,
  • Yanhui Yang,
  • Mengxi Li,
  • Guangjie Sang,
  • Ruiqiang Yang,
  • Jiale Chen,
  • Baolin Yang and
  • Jiaren Ye
  • + 1 author

26 November 2025

Coal texture is an important factor in optimizing the characterization of coalbed methane (CBM) reservoirs, directly affecting key reservoir properties such as permeability, gas content, and production potential. This study develops an advanced metho...

  • Article
  • Open Access
26 Citations
17,779 Views
17 Pages

9 October 2023

In the realm of retail supply chain management, accurate forecasting is paramount for informed decision making, as it directly impacts business operations and profitability. This study delves into the application of tree-based ensemble forecasting, s...

  • Article
  • Open Access
89 Citations
6,611 Views
23 Pages

Enhanced Preprocessing Approach Using Ensemble Machine Learning Algorithms for Detecting Liver Disease

  • Abdul Quadir Md,
  • Sanika Kulkarni,
  • Christy Jackson Joshua,
  • Tejas Vaichole,
  • Senthilkumar Mohan and
  • Celestine Iwendi

There has been a sharp increase in liver disease globally, and many people are dying without even knowing that they have it. As a result of its limited symptoms, it is extremely difficult to detect liver disease until the very last stage. In the even...

  • Article
  • Open Access
3 Citations
2,320 Views
19 Pages

16 December 2023

The accurate measurement of soil organic matter (SOM) is vital for maintaining soil quality. We present an innovative model for SOM prediction by integrating spectral and profile features. We use PCA, Lasso, and SCARS methods to extract important spe...

  • Review
  • Open Access
32 Citations
5,371 Views
29 Pages

1 March 2024

Photovoltaic systems are prone to breaking down due to harsh conditions. To improve the reliability of these systems, diagnostic methods using Machine Learning (ML) have been developed. However, many publications only focus on specific AI models with...

  • Article
  • Open Access
26 Citations
4,883 Views
24 Pages

Antioxidant and Neuroprotective Activity of Extra Virgin Olive Oil Extracts Obtained from Quercetano Cultivar Trees Grown in Different Areas of the Tuscany Region (Italy)

  • Maria Cristina Barbalace,
  • Lorenzo Zallocco,
  • Daniela Beghelli,
  • Maurizio Ronci,
  • Serena Scortichini,
  • Maria Digiacomo,
  • Marco Macchia,
  • Maria Rosa Mazzoni,
  • Dennis Fiorini and
  • Cristina Angeloni
  • + 3 authors

Neurodegenerative diseases are driven by several mechanisms such as inflammation, abnormal protein aggregation, excitotoxicity, mitochondrial dysfunction and oxidative stress. So far, no therapeutic strategies are available for neurodegenerative dise...

  • Article
  • Open Access
4 Citations
1,686 Views
15 Pages

31 July 2023

This study addresses the problem of restricted ability for large-scale monitoring due to the limited cruising time of unmanned aerial vehicles (UAV) by identifying an optimal leaf ChlorophyII content (LCC) inversion machine learning model at differen...

  • Article
  • Open Access
3 Citations
2,382 Views
25 Pages

Advanced Wind Speed Forecasting: A Hybrid Framework Integrating Ensemble Methods and Deep Neural Networks for Meteorological Data

  • Daniel Díaz-Bedoya,
  • Mario González-Rodríguez,
  • Oscar Gonzales-Zurita,
  • Xavier Serrano-Guerrero and
  • Jean-Michel Clairand

The adoption of wind energy is pivotal for advancing sustainable power systems, particularly in off-grid microgrids where infrastructure limitations hinder conventional energy solutions. The inherent variability of wind generation, however, challenge...

  • Article
  • Open Access
85 Citations
12,893 Views
17 Pages

20 June 2023

Heart disease is a significant global health issue, contributing to high morbidity and mortality rates. Early and accurate heart disease prediction is crucial for effectively preventing and managing the condition. However, this remains a challenging...

  • Article
  • Open Access
3 Citations
2,471 Views
14 Pages

Methanol, commonly used to cut costs in the production of counterfeit alcohol, is extremely harmful to human health, potentially leading to severe outcomes, including death. In this study, an electronic nose system was designed using 11 inexpensive g...

  • Article
  • Open Access
1 Citations
1,596 Views
21 Pages

Series arc faults (SAFs) pose a significant threat to the safety of photovoltaic (PV) systems. However, the complex operating conditions of PV systems make accurate SAF detection challenging. To tackle this issue, this article proposes a SAF detectio...

  • Article
  • Open Access
45 Citations
19,661 Views
15 Pages

The Use of Machine Learning in Real Estate Research

  • Lennon H. T. Choy and
  • Winky K. O. Ho

25 March 2023

This research seeks to demonstrate how machine learning, a branch of artificial intelligence, is able to deliver more accurate pricing predictions, using the real estate market as an example. Utilizing 24,936 housing transaction records, this paper e...

  • Article
  • Open Access
56 Citations
7,217 Views
14 Pages

A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations

  • Sambandh Bhusan Dhal,
  • Kyle Jungbluth,
  • Raymond Lin,
  • Seyed Pouyan Sabahi,
  • Muthukumar Bagavathiannan,
  • Ulisses Braga-Neto and
  • Stavros Kalafatis

5 May 2022

Nutrient regulation in aquaponic environments has been a topic of research for many years. Most studies have focused on appropriate control of nutrients in an aquaponic set-up, but very little research has been conducted on commercial-scale applicati...

  • Article
  • Open Access
41 Citations
4,619 Views
17 Pages

11 October 2022

In order to reduce the adverse effects of concrete on the environment, options for eco-friendly and green concretes are required. For example, geopolymers can be an economically and environmentally sustainable alternative to portland cement. This is...

  • Article
  • Open Access
38 Citations
6,492 Views
11 Pages

An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups

  • Sambandh Bhusan Dhal,
  • Shikhadri Mahanta,
  • Jonathan Gumero,
  • Nick O’Sullivan,
  • Morayo Soetan,
  • Julia Louis,
  • Krishna Chaitanya Gadepally,
  • Snehadri Mahanta,
  • John Lusher and
  • Stavros Kalafatis

1 January 2023

Heavy metal concentrations that must be maintained in aquaponic environments for plant growth have been a source of concern for many decades, as they cannot be completely eliminated in a commercial set-up. Our goal was to create a low-cost real-time...

  • Article
  • Open Access
18 Citations
3,554 Views
20 Pages

Predicting Low-Modulus Biocompatible Titanium Alloys Using Machine Learning

  • Gordana Marković,
  • Vaso Manojlović,
  • Jovana Ružić and
  • Miroslav Sokić

22 September 2023

Titanium alloys have been present for decades as the main components for the production of various orthopedic and dental elements. However, modern times require titanium alloys with a low Young’s modulus, and without the presence of cytotoxic a...

  • Article
  • Open Access
22 Citations
4,579 Views
18 Pages

21 December 2021

Interleukin (IL)-10 is a homodimer cytokine that plays a crucial role in suppressing inflammatory responses and regulating the growth or differentiation of various immune cells. However, the molecular mechanism of IL-10 regulation is only partially u...

  • Article
  • Open Access
19 Citations
6,281 Views
21 Pages

This work explores the use of infrared low-cost cameras for monitoring peripheral oxygen saturation (SpO2), a vital sign that is particularly important for individuals with fragile health, such as the elderly. The development of contactless SpO2 moni...

  • Article
  • Open Access
1 Citations
1,577 Views
18 Pages

4 February 2025

Near-surface ozone is a secondary pollutant, and its high concentrations pose significant risks to human and plant health. Based on an Extra Tree (ET) model, this study estimated near-surface ozone concentrations with the high spatiotemporal resoluti...

  • Article
  • Open Access
80 Citations
6,666 Views
21 Pages

Forecasting Photovoltaic Power Generation with a Stacking Ensemble Model

  • Abdallah Abdellatif,
  • Hamza Mubarak,
  • Shameem Ahmad,
  • Tofael Ahmed,
  • G. M. Shafiullah,
  • Ahmad Hammoudeh,
  • Hamdan Abdellatef,
  • M. M. Rahman and
  • Hassan Muwafaq Gheni

5 September 2022

Nowadays, photovoltaics (PV) has gained popularity among other renewable energy sources because of its excellent features. However, the instability of the system’s output has become a critical problem due to the high PV penetration into the exi...

  • Article
  • Open Access
6 Citations
2,512 Views
18 Pages

Rapid Method of Wastewater Classification by Electronic Nose for Performance Evaluation of Bioreactors with Activated Sludge

  • Magdalena Piłat-Rożek,
  • Marcin Dziadosz,
  • Dariusz Majerek,
  • Katarzyna Jaromin-Gleń,
  • Bartosz Szeląg,
  • Łukasz Guz,
  • Adam Piotrowicz and
  • Grzegorz Łagód

19 October 2023

Currently, e-noses are used for measuring odorous compounds at wastewater treatment plants. These devices mimic the mammalian olfactory sense, comprising an array of multiple non-specific gas sensors. An array of sensors creates a unique set of signa...

  • Article
  • Open Access
66 Citations
6,672 Views
13 Pages

14 January 2022

Meeting the required amount of energy between supply and demand is indispensable for energy manufacturers. Accordingly, electric industries have paid attention to short-term energy forecasting to assist their management system. This paper firstly com...

  • Article
  • Open Access
148 Citations
8,294 Views
24 Pages

24 October 2020

There have been abundant experimental studies exploring ultra-high-performance concrete (UHPC) in recent years. However, the relationships between the engineering properties of UHPC and its mixture composition are highly nonlinear and difficult to de...

  • Article
  • Open Access
86 Views
24 Pages

Classification of Apis cerana Populations Using Deep Learning Based on Morphometrics of Forewing in Thailand

  • Nattawut Chumnoi,
  • Papinwich Paimsang,
  • Watcharaporn Cholamjiak and
  • Tipwan Suppasat

This study aimed to develop a robust morphometric-based framework for classifying Apis cerana populations using deep learning and machine learning approaches. Previous studies on Apis cerana population differentiation have primarily relied on manual...

  • Proceeding Paper
  • Open Access
1,906 Views

23 April 2025

Amyotrophic lateral sclerosis is a neurodegenerative disorder that has a complex differential diagnosis that has not been elucidated due to the variety of clinical manifestations or specific biological markers. This review aims at studying the applic...

  • Article
  • Open Access
15 Citations
7,489 Views
19 Pages

14 June 2018

Hybrid drought prediction models were developed for areas with limited monitoring gauges using the APEC Climate Center Multi-Model Ensemble seasonal climate forecast and machine learning models of Extra-Trees and Adaboost. The models provide spatiall...

  • Article
  • Open Access
9 Citations
2,080 Views
15 Pages

18 February 2024

Alfalfa holds an extremely significant place in animal nutrition when it comes to providing essential nutrients. The leaves of alfalfa specifically boast the highest nutritional value, containing a remarkable 70% of crude protein and an impressive 90...

  • Article
  • Open Access
38 Citations
4,502 Views
16 Pages

27 August 2020

Initially, electrofacies were introduced to define a set of recorded well log responses in order to characterize and distinguish a bed from the other rock units, as an advancement to the conventional application of well logs. Well logs are continuous...

  • Article
  • Open Access
1 Citations
8,147 Views
33 Pages

29 November 2024

This study examines the effect of the investment portfolio structure on insurers’ solvency, as measured by the Solvency Capital Requirement ratio. An empirical sample of 88 EU-based insurance groups was analyzed to provide robust evidence of th...

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