ACS Applied Computer Science

  • Increase font size
  • Default font size
  • Decrease font size

Applied Computer Science Volume 20, Number 1, 2024

A NEW APPROACH FOR BREAST CANCER DETECTION- BASED MACHINE LEARNING TECHNIQUE

Print

The leading cause of cancer-related mortality is breast cancer. Breast cancer detection at an early stage is crucial. Data on breast cancer can be diagnosed using a number of different Machine learning approaches. Automated breast cancer diagnosis using a Machine Learning model is introduced in this research. Features were selected using Convolutional Neural Networks (CNNs) as a classifier model, and noise was removed using Contrast Limited Adaptive Histogram Equalization (CLAHE). On top of that, the research compares five algorithms: Random Forest, SVM, KNN, Naïve Bayes classifier, and Logistic Regression. An extensive dataset of 3002 combined images was used to test the system. The dataset included information from 1400 individuals who underwent digital mammography between 2007 and 2015. Accuracy and precision are the metrics by which the system's performance is evaluated. Due to its low computing power requirements and excellent accuracy, our suggested model is shown to be quite efficient in the simulation results.

  • APA 7th style
Al-Nawashi, M. M., Al-Hazaimeh, O. M., & Khazaaleh, M. Kh. (2024). New approach for breast cancer detection based on machine learning techniques. Applied Computer Science, 20(1), 1-16. https://doi.org/10.35784/acs-2024-01
  • Chicago style
Al-Nawashi, Malek M., Obaida M. Al-Hazaimeh, and Mutaz Kh. Khazaaleh. „New Approach for Breast Cancer Detection Based on Machine Learning Techniques" Applied Computer Science 20, no. 1 (2024): 1-16.
  • IEEE style
M. M. Al-Nawashi, O. M. Al-Hazaimeh, and M. Kh. Khazaaleh, „New approach for breast cancer detection based on machine learning techniques”, Applied Computer Science, vol. 20, no. 1, pp. 1-16, 2024, doi: 10.35784/acs-2024-01.
  • Vancouver style
Al-Nawashi MM, Al-Hazaimeh OM, Khazaaleh MKh. New approach for breast cancer detection based on machine learning techniques. Applied Computer Science. 2024; 20(1):1-16.

A STUDY ON AN AR-BASED CIRCUIT PRACTICE

Print

Recently, the number of AR-based practice cases has been increasing. In this paper, the effect of AR-based circuit practice was examined through an experiment with 60 subjects (control group: 30, experimental group: 30). The report score, completion time, question count, and USE questionnaire were used in the analysis. As a result of the experiment, the report score was significantly increased by 15.48% in the experimental group (△report: +18 points) than in the control group (△report: +7 points). Question count decreased twice as much in the experimental group (△question: -18 times) as in the control group (△question: -9 times). The completion time of the experimental group (△time: -16 min) was reduced by approximately 4 min more than that of the control group (△time: -12 min), however, the difference was not statistically significant. The USE questionnaire received evaluations of 6.0 or higher (on a 7-point scale) in all categories (usefulness, ease of use, ease of learning, satisfaction). Therefore, From the experimental results, the proposed AR-based circuit practice is confirmed to be more effective than traditional circuit practice.

  • APA 7th style
Na, H. C., & Kim, Y. S. (2024). Study on an AR-based circuit practice. Applied Computer Science, 20(1), 17–27. https://doi.org/10.35784/acs-2024-02
  • Chicago style
Na, Hae Chan, and Yoon Sang Kim. „Study on an AR-Based Circuit Practice". Applied Computer Science 20, no. 1 (2024): 17–27.
  • IEEE style
H. C. Na and Y. S. Kim, „Study on an AR-based circuit practice”, Applied Computer Science, vol. 20, no. 1, pp. 17–27, 2024, doi: 10.35784/acs-2024-02.
  • Vancouver style
Na HC, Kim YS. Study on an AR-based circuit practice. Applied Computer Science. 2024; 20(1):17–27.

ENHANCING MEDICAL DATA SECURITY IN E-HEALTH SYSTEMS USING BIOMETRIC-BASED WATERMARKING

Print

In the field of Electronic Health (e-Health), Electronic Health Records (EHR) are transmitted between health professionals using e-Health systems for cooperative medical practice, medical monitoring, telemedical expertise, and telemedical imaging. Medical images are a crucial component of EHR and are used in various aspects of telemedicine systems such as expertise, consultation, teaching, and research. However, protecting the authenticity and copyrights of medical images is essential to prevent duplication, modification, or unauthorized distribution. This paper proposes a robust medical image copyright protection method that uses patient palm-print template as watermark and Lorenz chaotic map for template concealing and selecting the appropriate embedding positions in medical images. The novelty of the method lies in optimizing the expected number of modifications per pixel of the medical images after being watermarked. Experimental results indicate that this approach has a high performance with a genuine accept rate of 99.86% and can withstand various image processing attacks, including Gaussian noise, compression, and image rotations, while ensuring personal data security during telemedicine data exchange.

  • APA 7th style
Makhlouf, Z., Meraoumia, A., Lakhdar, L., & Haouam, M. Y. (2024). Enhancing medical data security in e-health systems using biometric-based watermarking. Applied Computer Science, 20(1), 28-55. https://doi.org/10.35784/acs-2024-03
  • Chicago style
Makhlouf, Ziadeddine, Abdallah Meraoumia, Laimeche Lakhdar, and Mohamed Yassine Haouam. „Enhancing Medical Data Security in E-Health Systems Using Biometric-Based Watermarking". Applied Computer Science 20, no. 1 (2024): 28-55.
  • IEEE style
Z. Makhlouf, A. Meraoumia, L. Lakhdar, and M. Y. Haouam, „Enhancing medical data security in e-health systems using biometric-based watermarking”, Applied Computer Science, vol. 20, no. 1, pp. 28-55, 2024, doi: 10.35784/acs-2024-03.
  • Vancouver style
Makhlouf Z, Meraoumia A, Lakhdar L, Haouam MY. Enhancing medical data security in e-health systems using biometric-based watermarking. Applied Computer Science. 2024; 20(1):28-55.

THE IMPACT OF APPLYING UNIVERSAL DESIGN PRINCIPLES ON THE USABILITY OF ONLINE ACCOMMODATION BOOKING WEBSITES

Print

In the field of Electronic Health (e-Health), Electronic Health Records (EHR) are transmitted between health professionals using e-Health systems for cooperative medical practice, medical monitoring, telemedical expertise, and telemedical imaging. Medical images are a crucial component of EHR and are used in various aspects of telemedicine systems such as expertise, consultation, teaching, and research. However, protecting the authenticity and copyrights of medical images is essential to prevent duplication, modification, or unauthorized distribution. This paper proposes a robust medical image copyright protection method that uses patient palm-print template as watermark and Lorenz chaotic map for template concealing and selecting the appropriate embedding positions in medical images. The novelty of the method lies in optimizing the expected number of modifications per pixel of the medical images after being watermarked. Experimental results indicate that this approach has a high performance with a genuine accept rate of 99.86% and can withstand various image processing attacks, including Gaussian noise, compression, and image rotations, while ensuring personal data security during telemedicine data exchange.

  • APA 7th style
Kurek, K., Skublewska-Paszkowska, M., Dzienkowski, M., & Powroznik, P. (2024). Impact of applying universal design principles on the usability of online accommodation booking websites. Applied Computer Science, 20(1), 56–71. https://doi.org/10.35784/acs-2024-04
  • Chicago style
Kurek, Katarzyna, Maria Skublewska-Paszkowska, Mariusz Dzienkowski, and Paweł Powroznik. „Impact of Applying Universal Design Principles on the Usability of Online Accommodation Booking Websites". Applied Computer Science 20, no. 1 (2024): 56–71.
  • IEEE style
K. Kurek, M. Skublewska-Paszkowska, M. Dzienkowski, and P. Powroznik, „Impact of applying universal design principles on the usability of online accommodation booking websites”, Applied Computer Science, vol. 20, no. 1, pp. 56–71, 2024, doi: 10.35784/acs-2024-04.
  • Vancouver style
Kurek K, Skublewska-Paszkowska M, Dzienkowski M, Powroznik P. Impact of applying universal design principles on the usability of online accommodation booking websites. Applied Computer Science. 2024; 20(1):56–71. 

OPTIMIZING PEDESTRIAN TRACKING FOR ROBUST PERCEPTION WITH YOLOV8 AND DEEPSORT

Print

Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely used in autonomous driving, behavior recognition, and other areas. The complex and dynamic nature of environments, the ever-changing visual features of people, and the frequent appearance of occlusion interactions all impose limitations on the efficacy of existing pedestrian tracking algorithms. This results in suboptimal tracking precision and stability. As a solution, this article proposes an integrated detector-tracker framework for pedestrian tracking. The framework includes a pedestrian object detector that utilizes the YOLOv8 network, which is regarded as the latest state-of-the-art detector, that has been established. This detector provides an ideal detection base to address limitations. Through the combination of YOLOv8 and the DeepSort tracking algorithm, we have improved the ability to track pedestrians in dynamic scenarios. After conducting experiments on publicly available datasets such as MOT17 and MOT20, a clear improvement in accuracy and consistency was demonstrated, with MOTA scores of 63.82 and 58.95, and HOTA scores of 43.15 and 41.36, respectively. Our research highlights the significance of optimizing object detection to unleash the potential of tracking for critical applications like autonomous driving.

  • APA 7th style
Zidani, G., Djarah, D., Benmakhlouf, A., & Khettache, L. (2024). Optimizing pedestrian tracking for robust perception with YOLOv8 and DeepSORT. Applied Computer Science, 20(1), 72–84. https://doi.org/10.35784/acs-2024-05
  • Chicago style
Zidani, Ghania, Djalal Djarah, Abdslam Benmakhlouf, and Laid Khettache. „Optimizing Pedestrian Tracking for Robust Perception with YOLOv8 and DeepSORT". Applied Computer Science 20, no. 1 (2024): 72–84.
  • IEEE style
G. Zidani, D. Djarah, A. Benmakhlouf, and L. Khettache, „Optimizing pedestrian tracking for robust perception with YOLOv8 and DeepSORT”, Applied Computer Science, vol. 20, no. 1, pp. 72–84, 2024, doi: 10.35784/acs-2024-05.
  • Vancouver style
Zidani G, Djarah D, Benmakhlouf A, Khettache L. Optimizing pedestrian tracking for robust perception with YOLOv8 and DeepSORT. Applied Computer Science. 2024; 20(1):72–84.

OPTIMIZING UNMANNED AERIAL VEHICLE FOR FOOD DELIVERY THROUGH VEHICLE ROUTING PROBLEM: A COMPARATIVE ANALYSIS OF THREE DELIVERY SYSTEMS

Print

In recent times, there has been a notable increase in interest surrounding the integration of Un-manned Aerial Vehicle (UAV) technology and vehicle routing problems (VRP) for package delivery purposes. While existing studies have explored various types of package deliveries utilizing VRP, limited attention has been given to on-demand food delivery. This study aims to develop a VRP model that incorporates practical constraints such as payload capacity and maximum flying range, with the primary objective of minimizing travel distance in food delivery operations. A comparative analysis is conducted among three delivery methods, including UAV delivery, to determine the most effective approach and assess the feasibility of each method. Through a case study analysis focused on a pizza delivery service in Sri Lanka, it was observed that implementing VRP in a motorbike delivery system resulted in reduced travel distance, time, cost, and CO2 emissions compared to the existing delivery system. Furthermore, the utilization of UAVs in conjunction with VRP yielded even greater improvements across all parameters. Based on a comprehensive cost analysis considering long-term operations, the UAV-based delivery system was identified as the most cost-effective method, followed by the VRP-incorporated motorbike delivery method. Although the VRP-incorporated motorbike delivery system exhibited a slightly higher average time per route compared to the existing method, the total travel time required to complete all routes remained lower. Consequently, the study concludes that the VRP-incorporated motorbike delivery system outperforms the existing delivery method for food delivery, with the use of UAVs incorporating VRP identified as the optimal delivery method among the three alternatives. The findings contribute valuable insights to the optimization of food delivery logistics, emphasizing the potential of VRP and exploring the feasibility of UAVs for sustainable and efficient long-term delivery solutions.

  • APA 7th style
Edirimanne, R., Fernando, W. M., Nielsen, P., Perera, H. N., & Thibbotuwawa, A. (2024). Optimizing unmanned aerial vehicle based food delivery through vehicle routing problem: A comparative analysis of three delivery systems. Applied Computer Science, 20(1), 85-105. https://doi.org/10.35784/acs-2024-06
  • Chicago style
Edirimanne, Rumesh, W Madushan Fernando, Peter Nielsen, H. Niles Perera, and Amila Thibbotuwawa. „Optimizing Unmanned Aerial Vehicle Based Food Delivery through Vehicle Routing Problem: A Comparative Analysis of Three Delivery Systems". Applied Computer Science 20, no. 1 (2024): 85-105.
  • IEEE style
R. Edirimanne, W. M. Fernando, P. Nielsen, H. N. Perera, and A. Thibbotuwawa, „Optimizing unmanned aerial vehicle based food delivery through vehicle routing problem: A comparative analysis of three delivery systems”, Applied Computer Science, vol. 20, no. 1, pp. 85-105, 2024, doi: 10.35784/acs-2024-06.
  • Vancouver style
Edirimanne R, Fernando WM, Nielsen P, Perera HN, Thibbotuwawa A. Optimizing unmanned aerial vehicle based food delivery through vehicle routing problem: A comparative analysis of three delivery systems. Applied Computer Science. 2024; 20(1):85-105.

EMOTION RECOGNITION FROM HEART RATE VARIABILITY USING A HYBRID SYSTEM COMBINED WITH A HIDDEN MARKOV MODEL AND POINCARE PLOT

Print

The best emotion recognition system based on physiological signals with a simple operatory should have higher accuracy and fast response speed. This paper aims to develop an emotion recognition system using a novel hybrid system based on Hidden Markov Model and Poincare plot. For this purpose, an electrocardiogram from the MAHNOB-HCI database was used. A novel feature extraction from a hybrid system combining Hidden Markov Model and Poincare plot was presented. The authors extracted time and frequency domain features from heart rate variability, and used two central hybrid systems, the Support Vector Machine/ Hidden Markov Model and the Hidden Markov Model/ Poincare Plot. Finally, the support vector machine was used as a classifier to classify emotions into positive and negative. The proposed method showed a classification accuracy of 95.02 ± 1.97 % overall. Also, the computing time of the method is around 163 milliseconds. The key of this paper is in the use of hybrid machines to improve accuracy without high computation time. This method can be used as a real-time system due to the low computation time and can be developed in many fields, such as medical examination and security systems.

  • APA 7th style
Zamani Khanghah, S., & Maghooli, K. (2024). Emotion recognition from heart rate variability with a hybrid system combined hidden Markov model and Poincaré plot. Applied Computer Science, 20(1), 106–121. https://doi.org/10.35784/acs-2024-07
  • Chicago style
Zamani Khanghah, Sahar, and Keivan Maghooli. „Emotion Recognition from Heart Rate Variability with a Hybrid System Combined Hidden Markov Model and Poincaré Plot". Applied Computer Science 20, no. 1 (2024): 106–121.
  • IEEE style
S. Zamani Khanghah and K. Maghooli, „Emotion recognition from heart rate variability with a hybrid system combined hidden Markov model and Poincaré plot”, Applied Computer Science, vol. 20, no. 1, pp. 106–121, 2024, doi: 10.35784/acs-2024-07.
  • Vancouver style
Zamani Khanghah S, Maghooli K. Emotion recognition from heart rate variability with a hybrid system combined hidden Markov model and Poincaré plot. Applied Computer Science. 2024; 20(1):106–121.

APPLICATION OF THERMAL IMAGING CAMERAS FOR SMARTPHONE: SEEK THERMAL COMPACT PRO AND FLIR ONE PRO FOR HUMAN STRESS DETECTION – COMPARISON AND STUDY

Print

Thermography as an innovative diagnostic technique with non-contact temperature measurement is used in many industries – science, industry, medicine, and security. When using thermography in the field of health, images and images sequences obtained from thermal imaging cameras allow to record the temperature distribution in order to further recognize whether the state of the body is consistent with the defined parameters or whether there are deviations. However, it is worth paying attention to the measurement accuracy of thermal imaging cameras, their specification, and image quality of thermograms. In the case of recording stress states, measurement discrepancies between thermal imaging cameras for smartphone may affect the final results. Therefore, this article focuses on the comparison of the possibility of recording and detecting stress using two smartphone thermal imaging cameras: SEEK THERMAL Compact Pro and FLIR ONE Pro. The specifications of both cameras were compared. At the same time, the possibility of recording stress using smartphone thermal imaging cameras was confirmed on the basis of an exemplary study. The results of the comparison and analysis show that smartphone thermography can be a quick registration and diagnostic method in behavioral-biomedical issues.

  • APA 7th style
Baran, K. (2024). Application of thermal imaging cameras for smartphone: Seek Thermal Compact Pro and FLIR One Pro for human stress detection – Comparison and study. Applied Computer Science, 20(1), 122–138. https://doi.org/10.35784/acs-2024-08
  • Chicago style
Baran, Katarzyna. „Application of Thermal Imaging Cameras for Smartphone: Seek Thermal Compact Pro and FLIR One Pro for Human Stress Detection – Comparison and Study". Applied Computer Science 20, no. 1 (2024): 122–138. 
  • IEEE style
K. Baran, „Application of thermal imaging cameras for smartphone: Seek Thermal Compact Pro and FLIR One Pro for human stress detection – Comparison and study”, Applied Computer Science, vol. 20, no. 1, pp. 122–138, 2024, doi: 10.35784/acs-2024-08.
  • Vancouver style
Baran K. Application of thermal imaging cameras for smartphone: Seek Thermal Compact Pro and FLIR One Pro for human stress detection – Comparison and study. Applied Computer Science. 2024; 20(1):122–138.

FILTERING STRATEGIES FOR SMARTPHONE EMITTED DIGITAL SIGNALS

Print

In today's digitalized and technology-driven society, where the number of IoT devices and the volume of collected data is exponentially increasing, the use of sensor data has become a necessity in certain fields of activity. This paper presents a concise history of sensor evolution and specialization, with a focus on the sensors used for localization, particularly those present in microelectromechanical systems (MEMS) that make up inertial measurement units. The study starts with a general overview and progresses towards a more specific analysis of data sets collected from an accelerometer. In the materials and methods section, it emphasizes the imperfect nature of sensor measurements and the need to filter digital signals. Three different digital signal filtering techniques belonging to distinct filter categories are comparatively analyzed, with each technique having its own particularities, advantages and disadvantages. The analysis considers the effectiveness in reducing measurement errors, the impact of the filtering process on the original signal, the ability to highlight the underlying phenomenon, as well as the performance of the analyzed algorithms. The ultimate purpose of this article is to determine which filtration method is best suited for the signal at hand in the context of an indoor localization application.

  • APA 7th style
Obretin, A. M., & Cornea, A. A. (2024). Filtering strategies for smartphone emitted digital signals. Applied Computer Science, 20(1), 139–156. https://doi.org/10.35784/acs-2024-09
  • Chicago style
Obretin, Alexandru Marius, and Andreea Alina Cornea. „Filtering Strategies for Smartphone Emitted Digital Signals". Applied Computer Science 20, no. 1 (2024): 139–156. 
  • IEEE style
A. M. Obretin and A. A. Cornea, „Filtering strategies for smartphone emitted digital signals”, Applied Computer Science, vol. 20, no. 1, pp. 139–156, 2024, doi: 10.35784/acs-2024-09.
  • Vancouver style
Obretin AM, Cornea AA. Filtering strategies for smartphone emitted digital signals. Applied Computer Science. 2024; 20(1):139–156. 

COMPARISON AND EVALUATION OF LMS-DERIVED ALGORITHMS APPLIED ON ECG SIGNALS CONTAMINATED WITH MOTION ARTIFACT DURING PHYSICAL ACTIVITIES

Print

The acquisition of ECG signals offers physicians and specialists a very important tool in the diagnosis of cardiovascular diseases. However, very often these signals are affected by noise from various sources, including noise generated by movement during physical activity. This type of noise is known as Motion Artifact (MA) which changes the waveform of the signal, leading to erroneous readings. The elimination of this noise is performed by different filtering techniques, where the adaptive filtering using the LMS (least mean squares) algorithm stands out. The objective of this article is to determine which algorithms best deal with motion artifacts, taking into account the use of instruments or wearable equipment, in different conditions of physical activity. A comparison between different algorithms derived from LMS (NLMS, PNLMS and IPNLM) used in adaptive filtering is carried out using indicators such as: Pearson's Correlation Coefficient, Signal to Noise Ratio (SNR) and Mean Squared Error (MSE) as metrics to evaluate them. For this purpose, the mHealth database was used, which contains ECG signals taken during moderate to medium intensity physical activities. The results show that filtering by IPNLMS as well as PNLMS offers an improvement both visually and in terms of SNR, Pearson, and MSE indicators.

  • APA 7th style
Galdos, J., Lopez Colque, N., Medina Rodirguez, A., Huarca Quispe, J., Rendulich, J., & Sulla Espinoza, E. (2024). Comparison and evaluation of LMS-derived algorithms applied on ECG signals contaminated with motion artifact during physical activities. Applied Computer Science, 20(1), 157–172. https://doi.org/10.35784/acs-2024-10
  • Chicago style
Galdos, Jarelh, Nikolai Lopez Colque, Angie Medina Rodirguez, Jorge Huarca Quispe, Jorge Rendulich, and Erasmo Sulla Espinoza. „Comparison and Evaluation of LMS-Derived Algorithms Applied on ECG Signals Contaminated with Motion Artifact during Physical Activities". Applied Computer Science 20, no. 1 (2024): 157–172. 
  • IEEE style
J. Galdos, N. Lopez Colque, A. Medina Rodirguez, J. Huarca Quispe, J. Rendulich, and E. Sulla Espinoza, „Comparison and evaluation of LMS-derived algorithms applied on ECG signals contaminated with motion artifact during physical activities”, Applied Computer Science, vol. 20, no. 1, pp. 157–172, 2024, doi: 10.35784/acs-2024-10.
  • Vancouver style
Galdos J, Lopez Colque N, Medina Rodirguez A, Huarca Quispe J, Rendulich J, Sulla Espinoza E. Comparison and evaluation of LMS-derived algorithms applied on ECG signals contaminated with motion artifact during physical activities. Applied Computer Science. 2024; 20(1):157–172. 

KNOWLEDGE MANAGEMENT APPROACH IN COMPARATIVE STUDY OF AIR POLLUTION PREDICTION MODEL

Print

This study utilizes knowledge management (KM) to highlight a documentation-centric approach that is enhanced through artificial intelligence. Knowledge management can improve the decision-making process for predicting models that involved datasets, such as air pollution. Currently, air pollution has become a serious global issue, impacting almost every major city worldwide. As the capital and a central hub for various activities, Jakarta experiences heightened levels of activity, resulting in increased vehicular traffic and elevated air pollution levels. The comparative study aims to measure the accuracy levels of the naïve bayes, decision trees, and random forest prediction models. Additionally, the study uses evaluation measurements to assess how well the machine learning performs, utilizing a confusion matrix. The dataset’s duration is three years, from 2019 until 2021, obtained through Jakarta Open Data. The study found that the random forest achieved the best results with an accuracy rate of 94%, followed by the decision tree at 93%, and the naïve bayes had the lowest at 81%. Hence, the random forest emerges as a reliable predictive model for prediction of air pollution.

  • APA 7th style
Rohajawati, S., Setyodewi, H., Tresnanto, F. M. A., Marianthi, D., & Sihotang, M. T. B. (2024). Knowledge management approach in comparative study of air pollution prediction model. Applied Computer Science, 20(1), 173–188. https://doi.org/10.35784/acs-2024-11
  • Chicago style
Rohajawati, Siti, Hutanti Setyodewi, Ferryansyah Muji Agustian Tresnanto, Debora Marianthi, and Maruli Tua Baja Sihotang. „Knowledge Management Approach in Comparative Study of Air Pollution Prediction Model". Applied Computer Science 20, no. 1 (2024): 173–188. 
  • IEEE style
S. Rohajawati, H. Setyodewi, F. M. A. Tresnanto, D. Marianthi, and M. T. B. Sihotang, „Knowledge management approach in comparative study of air pollution prediction model”, Applied Computer Science, vol. 20, no. 1, pp. 173–188, 2024, doi: 10.35784/acs-2024-11.
  • Vancouver style
Rohajawati S, Setyodewi H, Tresnanto FMA, Marianthi D, Sihotang MTB. Knowledge management approach in comparative study of air pollution prediction model. Applied Computer Science. 2024; 20(1):173–188. 

ANALYZING THE ROLE OF COMPUTER SCIENCE IN SHAPING MODERN ECONOMIC AND MANAGEMENT PRACTICES. BIBLIOMETRIC ANALYSIS

Print

The application of computer science in management and economics is a rapidly growing field that combines the analytical and technological capabilities of computer science with the strategic and operational needs of management and economics. The main aim of this research paper is to analyze the main academic contributors, sources, and international collaborations from 2014 to 2022 in computer science in the areas of management and economics, as well as to analyze the main subtopics developed over time. Bibliometric techniques were used to carry out the literature review, which allows an objective analysis of the academic literature through quantitative indicators. The results reveal a significant shift towards data-driven decision making in management, with artificial intelligence and machine learning improving predictive analytics, operational efficiency, and economic forecasting and modeling, highlighting the essential role of digital transformation in these disciplines, with significant implications for researchers, practitioners and decision-makers. It concludes that all stakeholders should work to develop a more informed and innovative approach to maximize the exploitation of the potential offered by computational sciences in different contexts. This includes the integration of advanced computational tools to improve decision making and operational efficiency, or the exploitation of computational models for more effective forecasting and policy decision making, as well as the continuous analysis of emerging areas in this field, being aware of the ethical, privacy and security challenges presented by these technologies, in order to ensure a responsible and equitable application

  • APA 7th style
Sánchez-García, E., Martínez-Falcó, J., Marco-Lajara, B., & Słoniec, J. (2024). Analyzing the role of computer science in shaping modern economic and management practices. Bibliometric analysis. Applied Computer Science, 20(1), 189–207. https://doi.org/10.35784/acs-2024-12
  • Chicago style
Sánchez-García, Eduardo, Javier Martínez-Falcó, Bartolomé Marco-Lajara, and Jolanta Słoniec. „Analyzing the Role of Computer Science in Shaping Modern Economic and Management Practices. Bibliometric Analysis". Applied Computer Science 20, no. 1 (2024): 189–207. 
  • IEEE style
E. Sánchez-García, J. Martínez-Falcó, B. Marco-Lajara, and J. Słoniec, „Analyzing the role of computer science in shaping modern economic and management practices. Bibliometric analysis”, Applied Computer Science, vol. 20, no. 1, pp. 189–207, 2024, doi: 10.35784/acs-2024-12.
  • Vancouver style
Sánchez-García E, Martínez-Falcó J, Marco-Lajara B, Słoniec J. Analyzing the role of computer science in shaping modern economic and management practices. Bibliometric analysis. Applied Computer Science. 2024; 20(1):189–207.