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7,333 Results Found

  • Article
  • Open Access
23 Citations
4,884 Views
20 Pages

Big Data Handling Approach for Unauthorized Cloud Computing Access

  • Abdul Razaque,
  • Nazerke Shaldanbayeva,
  • Bandar Alotaibi,
  • Munif Alotaibi,
  • Akhmetov Murat and
  • Aziz Alotaibi

Nowadays, cloud computing is one of the important and rapidly growing services; its capabilities and applications have been extended to various areas of life. Cloud computing systems face many security issues, such as scalability, integrity, confiden...

  • Article
  • Open Access
23 Citations
4,251 Views
20 Pages

8 March 2023

Aviation is characterized by many stakeholders, long lifespans of its assets, and high requirements regarding safety, security, and documentation. To meet these requirements as well as customer needs, aircraft are regularly retrofitted with new cabin...

  • Review
  • Open Access
8 Citations
4,322 Views
21 Pages

Functional and Material Properties in Nanocatalyst Design: A Data Handling and Sharing Problem

  • Daniel Lach,
  • Uladzislau Zhdan,
  • Adam Smolinski and
  • Jaroslaw Polanski

(1) Background: Properties and descriptors are two forms of molecular in silico representations. Properties can be further divided into functional, e.g., catalyst or drug activity, and material, e.g., X-ray crystal data. Millions of real measured fun...

  • Article
  • Open Access
4 Citations
3,692 Views
18 Pages

Development and Implementation of a Mission Data-Handling Algorithm for an Automatic Flight Guidance System

  • Dominik Heimsch,
  • Moritz Speckmaier,
  • Daniel Gierszewski,
  • Florian Schwaiger,
  • Zoe Mbikayi and
  • Florian Holzapfel

27 January 2024

This paper presents a mission data-handling algorithm that provides a data link interface between a flight control computer (FCC) and a ground control station (GCS) using the protocol standard STANAG 4586, AEP-84 Volume II. A subset of defined messag...

  • Article
  • Open Access
40 Citations
4,786 Views
18 Pages

Prediction of Permeability Using Group Method of Data Handling (GMDH) Neural Network from Well Log Data

  • Baraka Mathew Nkurlu,
  • Chuanbo Shen,
  • Solomon Asante-Okyere,
  • Alvin K. Mulashani,
  • Jacqueline Chungu and
  • Liang Wang

23 January 2020

Permeability is an important petrophysical parameter that controls the fluid flow within the reservoir. Estimating permeability presents several challenges due to the conventional approach of core analysis or well testing, which are expensive and tim...

  • Article
  • Open Access
1 Citations
2,355 Views
15 Pages

As one of the key technologies in spacecraft data-handling networks mounting high-resolution payloads, the multi-lane native SpaceFibre standard is designed to meet the demands for the high-speed and reliable interconnections between satellite payloa...

  • Article
  • Open Access
30 Citations
3,706 Views
15 Pages

Combination of Group Method of Data Handling (GMDH) and Computational Fluid Dynamics (CFD) for Prediction of Velocity in Channel Intake

  • Shahab S. Band,
  • Ibrahim Al-Shourbaji,
  • Hojat Karami,
  • Sohrab Karimi,
  • Javad Esfandiari and
  • Amir Mosavi

26 October 2020

This paper utilizes computational fluid dynamics as well as a group method of data handling (GMDH) method to predict the mean velocity of intake. Firstly, the three dimensional flow pattern in a 90-degree intake is simulated with ANSYS-CFX at a trans...

  • Article
  • Open Access
27 Citations
6,168 Views
20 Pages

Development of a Group Method of Data Handling Technique to Forecast Iron Ore Price

  • Diyuan Li,
  • Mohammad Reza Moghaddam,
  • Masoud Monjezi,
  • Danial Jahed Armaghani and
  • Amirhossein Mehrdanesh

30 March 2020

Iron is one of the most applicable metals in the world. The global price of iron ore is determined based on demand and supply. There are numerous parameters (e.g., price of steel, steel production, oil price, gold price, interest rate, inflation rate...

  • Article
  • Open Access
11 Citations
7,508 Views
16 Pages

9 February 2018

The purpose of this study was to develop a data-driven predictive model that can predict the supply air temperature (SAT) in an air-handling unit (AHU) by using a neural network. A case study was selected, and AHU operational data from December 2015...

  • Article
  • Open Access
11 Citations
1,999 Views
15 Pages

1 September 2022

Fiber-reinforced polymer (FRP) is widely used in the field of structural engineering, for example, as a confining material for concrete. The ultimate conditions (i.e., compressive strength and ultimate axial strain) are key factors that need to be co...

  • Feature Paper
  • Article
  • Open Access
39 Citations
4,257 Views
16 Pages

21 April 2019

Although the group method of data handling (GMDH) is a self-organizing metaheuristic neural network capable of developing a classification function using influential input variables, the results can be improved by using some pre-processing steps. In...

  • Article
  • Open Access
29 Citations
2,644 Views
17 Pages

Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction

  • Stefano Frizzo Stefenon,
  • Laio Oriel Seman,
  • Nemesio Fava Sopelsa Neto,
  • Luiz Henrique Meyer,
  • Viviana Cocco Mariani and
  • Leandro dos Santos Coelho

3 July 2023

Disruptive failures threaten the reliability of electric supply in power branches, often indicated by the rise of leakage current in distribution insulators. This paper presents a novel, hybrid method for fault prediction based on the time series of...

  • Feature Paper
  • Article
  • Open Access
16 Citations
4,753 Views
15 Pages

4 August 2018

In this article, two techniques that are congruous with the principle of control theory are utilized to estimate the state of health (SOH) of real-life plug-in hybrid electric vehicles (PHEVs) accurately, which is of vital importance to battery manag...

  • Article
  • Open Access
50 Citations
6,691 Views
16 Pages

A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches

  • Yogendra Singh Solanki,
  • Prasun Chakrabarti,
  • Michal Jasinski,
  • Zbigniew Leonowicz,
  • Vadim Bolshev,
  • Alexander Vinogradov,
  • Elzbieta Jasinska,
  • Radomir Gono and
  • Mohammad Nami

Nowadays, breast cancer is the most frequent cancer among women. Early detection is a critical issue that can be effectively achieved by machine learning (ML) techniques. Thus in this article, the methods to improve the accuracy of ML classification...

  • Article
  • Open Access
9 Citations
3,248 Views
20 Pages

23 October 2018

Electric load forecasting is indispensable for the effective planning and operation of power systems. Various decisions related to power systems depend on the future behavior of loads. In this paper, we propose a new input selection procedure, which...

  • Proceeding Paper
  • Open Access
2 Citations
1,244 Views
10 Pages

19 December 2023

The present research focuses on the machining of grade 2 titanium material using the Wire Electric Discharge Machining (WEDM) process by means of L16 Orthogonal Array (OA). This study investigates numerous process parameters, including pulse on time,...

  • Article
  • Open Access
10 Citations
6,051 Views
14 Pages

11 September 2019

SpaceFibre is an upcoming on-board high-speed communication protocol for space applications. It has been developed in collaboration with the European Space Agency to answer the growing data-rate requirement of satellite payloads such as Synthetic Ape...

  • Article
  • Open Access
27 Citations
7,238 Views
22 Pages

Evaluating the Open Source Data Containers for Handling Big Geospatial Raster Data

  • Fei Hu,
  • Mengchao Xu,
  • Jingchao Yang,
  • Yanshou Liang,
  • Kejin Cui,
  • Michael M. Little,
  • Christopher S. Lynnes,
  • Daniel Q. Duffy and
  • Chaowei Yang

Big geospatial raster data pose a grand challenge to data management technologies for effective big data query and processing. To address these challenges, various big data container solutions have been developed or enhanced to facilitate data storag...

  • Review
  • Open Access
6 Citations
2,707 Views
20 Pages

Handling the Imbalanced Problem in Agri-Food Data Analysis

  • Adeyemi O. Adegbenjo and
  • Michael O. Ngadi

17 October 2024

Imbalanced data situations exist in most fields of endeavor. The problem has been identified as a major bottleneck in machine learning/data mining and is becoming a serious issue of concern in food processing applications. Inappropriate analysis of a...

  • Article
  • Open Access
8 Citations
6,152 Views
20 Pages

3 December 2018

Handling complexity in the data of information systems has emerged into a serious challenge in recent times. The typical relational databases have limited ability to manage the discrete and heterogenous nature of modern data. Additionally, the comple...

  • Article
  • Open Access
698 Views
15 Pages

14 November 2025

In road cycling, developing bike handling skills can prevent crashes and falls. Nevertheless, bike handling remains largely unexplored in the world of road cycling. The goal of this research was to develop a methodology to assess bike handling during...

  • Article
  • Open Access
1 Citations
1,778 Views
21 Pages

Identification of Bottlenecks in Passenger Handling Processes Using Data-Driven Tools

  • Edina Jenčová,
  • Tatiana Gajdušková,
  • Martin Jezný and
  • Pavol Hudák

7 August 2025

The paper focuses on the identification of “bottlenecks” in the passenger handling process at the airports. In the current era of digital transformation and the emergence of Industry 4.0 and 5.0 concepts, optimizing passenger flows throug...

  • Article
  • Open Access
4 Citations
3,663 Views
15 Pages

17 October 2019

In supervised Activities of Daily Living (ADL) recognition systems, annotating collected sensor readings is an essential, yet exhaustive, task. Readings are collected from activity-monitoring sensors in a 24/7 manner. The size of the produced dataset...

  • Review
  • Open Access
138 Citations
22,471 Views
46 Pages

19 July 2023

In today’s era of increased food consumption, consumers have become more demanding in terms of safety and the quality of products they consume. As a result, food authorities are closely monitoring the food industry to ensure that products meet...

  • Article
  • Open Access
3 Citations
2,079 Views
19 Pages

8 March 2024

This paper presents data-driven modeling and a results analysis. Group method data handling (GMDH), multivariable regression (MVR), artificial neuron network (ANN), and new proposed GMDH-featured ANN machine learning algorithms were implemented to mo...

  • Article
  • Open Access
13 Citations
4,743 Views
19 Pages

29 October 2020

Medical data usually have missing values; hence, imputation methods have become an important issue. In previous studies, many imputation methods based on variable data had a multivariate normal distribution, such as expectation-maximization and regre...

  • Proceeding Paper
  • Open Access
667 Views
16 Pages

Leveraging MongoDB in Real-Time Emotion Recognition from Video for Scalable and Efficient Data Handling

  • Haikal Muhammad Kurniawan,
  • Muhammad Maulidan,
  • Muhammad Faisal Zulmaulidin and
  • Alun Sujjada

11 September 2025

Real-time emotion recognition from video poses significant challenges in handling large-scale and continuously growing datasets. Traditional relational databases often fail to meet the scalability and efficiency requirements of such applications. Mon...

  • Article
  • Open Access
14 Citations
6,636 Views
19 Pages

10 March 2019

The cargo handling capacity of a port is the most basic and important indicator of port size. Based on the Defense Meteorological Satellite Program-Operational Linescan System (DMSP-OLS) nighttime light data and panel model, this study attempts to es...

  • Article
  • Open Access
51 Citations
6,072 Views
14 Pages

An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming

  • Celestine Iwendi,
  • Suresh Ponnan,
  • Revathi Munirathinam,
  • Kathiravan Srinivasan and
  • Chuan-Yu Chang

11 November 2019

As the field of data science grows, document analytics has become a more challenging task for rough classification, response analysis, and text summarization. These tasks are used for the analysis of text data from various intelligent sensing systems...

  • Article
  • Open Access
26 Citations
3,359 Views
20 Pages

Machine Learning-Based Ensemble Classifiers for Anomaly Handling in Smart Home Energy Consumption Data

  • Purna Prakash Kasaraneni,
  • Yellapragada Venkata Pavan Kumar,
  • Ganesh Lakshmana Kumar Moganti and
  • Ramani Kannan

30 November 2022

Addressing data anomalies (e.g., garbage data, outliers, redundant data, and missing data) plays a vital role in performing accurate analytics (billing, forecasting, load profiling, etc.) on smart homes’ energy consumption data. From the litera...

  • Article
  • Open Access
19 Citations
4,386 Views
19 Pages

23 April 2020

The developments in the fields of industrial Internet of Things (IIoT) and big data technologies have made it possible to collect a lot of meaningful industrial process and quality-based data. The gathered data are analyzed using contemporary statist...

  • Article
  • Open Access
28 Citations
3,669 Views
18 Pages

Landslide Susceptibility Assessment Using an Optimized Group Method of Data Handling Model

  • Azam Kadirhodjaev,
  • Fatemeh Rezaie,
  • Moung-Jin Lee and
  • Saro Lee

Landslides can cause considerable loss of life and damage to property, and are among the most frequent natural hazards worldwide. One of the most fundamental and simple approaches to reduce damage is to prepare a landslide hazard map. Accurate predic...

  • Article
  • Open Access
4 Citations
4,552 Views
17 Pages

1 March 2019

Business information required for applications and business processes is extracted using systems like business rule engines. Since the advent of Big Data, such rule engines are producing rules in a big quantity whereas more rules lead to more complex...

  • Article
  • Open Access
5 Citations
3,513 Views
20 Pages

Analyzing the Effectiveness of Imbalanced Data Handling Techniques in Predicting Driver Phone Use

  • Madhar M. Taamneh,
  • Salah Taamneh,
  • Ahmad H. Alomari and
  • Musab Abuaddous

6 July 2023

Distracted driving leads to a significant number of road crashes worldwide. Smartphone use is one of the most common causes of cognitive distraction among drivers. Available data on drivers’ phone use presents an invaluable opportunity to ident...

  • Article
  • Open Access
5 Citations
3,879 Views
25 Pages

26 September 2024

This paper introduces the EGTL (extract, generate, transfer, load) model, a theoretical framework designed to enhance the traditional ETL processes by integrating a novel ‘generate’ step utilizing generative artificial intelligence (GenAI...

  • Article
  • Open Access
31 Citations
4,589 Views
16 Pages

9 April 2023

The Air Quality Index (AQI) dataset contains information on measurements of pollutants and ambient air quality conditions at certain location that can be used to predict air quality. Unfortunately, this dataset often has many missing observations and...

  • Feature Paper
  • Article
  • Open Access
7 Citations
3,132 Views
15 Pages

21 December 2020

This manuscript addresses the problem of modeling an industrial (Sartorius) bioreactor using process data. In the context of the Sartorius Bioreactor, it is important to appropriately address the problem of dealing with a large number of variables, w...

  • Article
  • Open Access
12 Citations
4,338 Views
14 Pages

26 August 2022

The sudden increase in containerization volumes around the globe has increased the overall number of cargo losses, infrastructure damage, and human errors. Most critical losses occur during handling procedures performed by port cranes while sliding t...

  • Article
  • Open Access
17 Citations
7,935 Views
17 Pages

A Survey Aimed at General Citizens of the US and Japan about Their Attitudes toward Electronic Medical Data Handling

  • Michio Kimura,
  • Jun Nakaya,
  • Hiroshi Watanabe,
  • Toshiro Shimizu and
  • Kazuyuki Nakayasu

Objectives: To clarify the views of the general population of two countries (US and Japan), concerning the handling of their medical records electronically. Methods: We contacted people nationwide in the United States at random via Random Digit Diali...

  • Article
  • Open Access
11 Citations
4,038 Views
17 Pages

Propensity Score Analysis with Partially Observed Baseline Covariates: A Practical Comparison of Methods for Handling Missing Data

  • Daniele Bottigliengo,
  • Giulia Lorenzoni,
  • Honoria Ocagli,
  • Matteo Martinato,
  • Paola Berchialla and
  • Dario Gregori

(1) Background: Propensity score methods gained popularity in non-interventional clinical studies. As it may often occur in observational datasets, some values in baseline covariates are missing for some patients. The present study aims to compare th...

  • Article
  • Open Access
3 Citations
2,290 Views
19 Pages

It is getting popular to implement an environment where communications are performed remotely among IoT edge devices, such as sensory devices and the cloud servers due to applying, for example, artificial intelligence algorithms to the system. In suc...

  • Article
  • Open Access
32 Citations
7,694 Views
14 Pages

An Online Data-Driven Fault Diagnosis Method for Air Handling Units by Rule and Convolutional Neural Networks

  • Huanyue Liao,
  • Wenjian Cai,
  • Fanyong Cheng,
  • Swapnil Dubey and
  • Pudupadi Balachander Rajesh

25 June 2021

The stable operation of air handling units (AHU) is critical to ensure high efficiency and to extend the lifetime of the heating, ventilation, and air conditioning (HVAC) systems of buildings. In this paper, an online data-driven diagnosis method for...

  • Article
  • Open Access
1,883 Views
20 Pages

Sharing for Caring? A Patients’ and Clinicians’ View on Handling Personal Medical Data in the Context of Digitization: An Exploratory Study

  • Kevin Frank,
  • Thorsten Mengesdorf,
  • Marija Radić,
  • Philipp Herrmann,
  • Arno Appenzeller,
  • Henrik Mucha,
  • Berna Orak,
  • Indra Spiecker gen. Döhmann,
  • Stefan Rüping and
  • Stephanie Dauth
  • + 2 authors

16 October 2024

Background: The healthcare sector is currently undergoing a significant transformation, driven by an increased utilization of data. In this evolving landscape, surveys are of pivotal importance to the comprehension of patient needs and preferences. M...

  • Article
  • Open Access
14 Citations
4,812 Views
21 Pages

In clinical datasets, missing data often occur due to various reasons including non-response, data corruption, and errors in data collection or processing. Such missing values can lead to biased statistical analyses, reduced statistical power, and po...

  • Article
  • Open Access
15 Citations
8,018 Views
40 Pages

High-quality data are foundational to reliable environmental monitoring and urban planning in smart cities, yet challenges like missing values and outliers in air pollution and meteorological time series data are critical barriers. This study develop...

  • Article
  • Open Access
1 Citations
1,599 Views
34 Pages

30 May 2024

The Issue Tracking System (ITS) repositories are rich sources of software development documentation that are useful in assessing the status and quality of software projects. An original model is proposed for tracing issue handling activities and thei...

  • Article
  • Open Access
13 Citations
8,377 Views
26 Pages

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations

  • Sergej Jakovlev,
  • Tomas Eglynas,
  • Miroslav Voznak,
  • Mindaugas Jusis,
  • Pavol Partila,
  • Jaromir Tovarek and
  • Valdas Jankunas

2 April 2022

Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship’s hull....

  • Communication
  • Open Access
2,180 Views
39 Pages

9 May 2025

Identifying regions with similar meteorological features is of both socioeconomic and ecological importance. Towards that direction, useful information can be drawn from meteorological stations, and spread in a broader area. In this work, a time seri...

  • Article
  • Open Access
6 Citations
5,414 Views
20 Pages

12 September 2024

River discharge is an essential input to hydrosystem projects. This paper aimed to modify the group method of data handling (GMDH) to create a new artificial intelligent forecast model (abbreviated as MGMDH) for predicting discharges at river cross-s...

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