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Applied Computing and Informatics
Scopus
ISSN 2634-1964 · Emerald Publishing · 234 artikel di indeks
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Artikel Jurnal Teks lengkap
Cost-sensitive feature selection for multi-label classification: multi-criteria decision-making approach
PurposeIn multi-label classification, selecting the most relevant features is crucial for enhancing predictive performance and reducing computational complexity. Real-world scenarios often involve significant costs in data acquisition, including time, financial and computational resources. However…
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Artikel Jurnal Teks lengkap
Specification of a smart-analysis system of sound events for smart environments
PurposeIn this work, we proposed a smart-analysis system of sound events for smart/intelligent environments based on an autonomic cycle of data analysis tasks.Design/methodology/approachWe propose an autonomic cycle of data analysis tasks. An autonomic cycle of data analysis tasks is a set of data…
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Artikel Jurnal Teks lengkap
Developing trustworthy and ethically-based healthcare systems
PurposeThis study proposes a practical, ethics-by-design framework that helps healthcare organizations safeguard patient privacy, comply with regulations, and retain clinical efficiency as they adopt cloud-enabled and AI-assisted digital health services.Design/methodology/approachA three-tier…
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Artikel Jurnal
An architecture as a code framework to manage documentation of IT projects
Purpose – In the present article, the authors tackle the problem of IT documentation, which plays an important role in information technology (IT) project management. Design/methodology/approach – They provide a simple tool based on five complementary views, which should be detailed by the project…
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Artikel Jurnal
Audiogmenter: a MATLAB toolbox for audio data augmentation
Purpose – Create and share a MATLAB library that performs data augmentation algorithms for audio data. This study aims to help machine learning researchers to improve their models using the algorithms proposed by the authors. Design/methodology/approach – The authors structured our library into…
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Artikel Jurnal
A novel method for developing post-quantum cryptoschemes and a practical signature algorithm
Purpose – The practical purpose of this research is to propose a candidate for post-quantum signature standard that is free of significant drawback of the finalists of the NIST world competition, which consists in the large size of the signature and the public key. The practical purpose is to…
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Artikel Jurnal
IDMPF: intelligent diabetes mellitus prediction framework using machine learning
Purpose – Machine Learning is an intelligent methodology used for prediction and has shown promising results in predictive classifications. One of the critical areas in which machine learning can save lives is diabetes prediction. Diabetes is a chronic disease and one of the 10 causes of death…
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Artikel Jurnal
Design of a small-scale and failure-resistant IaaS cloud using OpenStack
Purpose – Major public cloud providers, such as AWS, Azure or Google, offer seamless experiences for infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). With the emergence of the public cloud's vast usage, administrators must be able to have a reliable…
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Artikel Jurnal
Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors
Purpose – This paper seeks to assess the performance levels of BA-GS-LSSVM compared to popular standalone algorithms used to build NO2 prediction models. The purpose of this paper is to pre-process a relatively large data of NO2 from Internet of Thing (IoT) sensors with time-corresponding weather…
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Artikel Jurnal
WisdomModel: convert data into wisdom
Purpose – Traditional classification algorithms always have an incorrect prediction. As the misclassification rate increases, the usefulness of the learning model decreases. This paper presents the development of a wisdom framework that reduces the error rate to less than 3% without human…
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Artikel Jurnal
Supervised learning and resampling techniques on DISC personality classification using Twitter information in Bahasa Indonesia
Purpose – Gathering knowledge regarding personality traits has long been the interest of academics and researchers in the fields of psychology and in computer science. Analyzing profile data from personal social media accounts reduces data collection time, as this method does not require users to…
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Artikel Jurnal
Until you have something to lose! Loss aversion and two-factor authentication adoption
Purpose – In this study, the authors seek to understand factors that naturally influence users to adopt two-factor authentication (2FA) without even trying to intervene by investigating factors within individuals that may influence their decision to adopt 2FA by themselves…
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Artikel Jurnal
An online emergency medical management information system using mobile computing
Purpose – The purpose of this paper is to investigate the way technology affects the provision of prehospital emergency care, upgrading the quality of services offered and significantly reducing the risk of premature termination of the patients. Design/methodology/approach – The paper presents the…
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Artikel Jurnal
An overlapping sliding window and combined features based emotion recognition system for EEG signals
Purpose – The purpose of this study is to propose an alternative efficient 3D emotion recognition model for variable-length electroencephalogram (EEG) data. Design/methodology/approach – Classical AMIGOS data set which comprises of multimodal records of varying lengths on mood, personality and…
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Artikel Jurnal
Forecasting of COVID-19 epidemic size in four high hitting nations (USA, Brazil, India and Russia) by Fb-Prophet machine learning model
Purpose – As of July 30, 2020, more than 17 million novel coronavirus disease 2019 (COVID-19) cases were registered including 671,500 deaths. Yet, there is no immediate medicine or vaccination for control this dangerous pandemic and researchers are trying to implement mathematical or time series…
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Artikel Jurnal
Robust dual-tone multi-frequency tone detection using k-nearest neighbour classifier for a noisy environment
Purpose – Due to the continuous and rapid evolution of telecommunication equipment, the demand for more efficient and noise-robust detection of dual-tone multi-frequency (DTMF) signals is most significant. Design/methodology/approach – A novel machine learning-based approach to detect DTMF tones…
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Artikel Jurnal
Robust ensemble of handcrafted and learned approaches for DNA-binding proteins
Purpose – Automatic DNA-binding protein (DNA-BP) classification is now an essential proteomic technology. Unfortunately, many systems reported in the literature are tested on only one or two datasets/tasks. The purpose of this study is to create the most optimal and universal system for DNA-BP…
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Artikel Jurnal
Solar power generation forecasting using ensemble approach based on deep learning and statistical methods
Solar power forecasting will have a significant impact on the future of large-scale renewable energy plants. Predicting photovoltaic power generation depends heavily on climate conditions, which fluctuate over time. In this research, we propose a hybrid model that combines machine-learning methods…
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Artikel Jurnal
Swarm intelligence versus direct cover algorithms in synthesis of Multi-Valued Logic functions
Ant Colony Optimization and Particle Swarm Optimization represent two widely used Swarm Intelligence (SI) optimization techniques. Information processing using Multiple-Valued Logic (MVL) is carried out using more than two discrete logic levels. In this paper, we compare two the SI-based algorithms…
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Artikel Jurnal
Feature selection based on weighted conditional mutual information
Feature selection is an essential step in data mining. The core of it is to analyze and quantize the relevancy and redundancy between the features and the classes. In CFR feature selection method, they rarely consider which feature to choose if two or more features have the same value using…