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106 results for machine learning

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  1. Journal Article Full text

    Financial Banking Dataset for Supervised Machine Learning Classification

    Irina RAICU

    Informatică economică, Vol. 23 No. 1 · 2019 · Romanian · DOAJ

    …dataset in order to be used for Sentiment Classification using various Machine Learning methods and techniques. The dataset contains 2234 financial banking comments from Romanian financial banking social media collected via web scraping technique.

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  2. Journal Article

    Alzheimer assistant: a mobile application using Machine Learning

    Nahla ALJOJO; Reem ALOTAIBI; Basma ALHARBI et al.

    Revista Română de Informatică și Automatică, Vol. 30 No. 4 · 2020 · Romanian · DOAJ Scopus

    Alzheimer’s disease is a condition characterized by a progressive symptomatic decline over several years. It causes memory loss and affects daily task performance. Memory loss leads to challenges including remembering people’s names, faces, places, or other information. In Saudi Arabia, the…

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  3. Journal Article Full text

    Assessment of Machine Learning algorithms for automated monitoring

    Carmen-Ionela ROTUNĂ; Mihail DUMITRACHE; Ionuț-Eugen SANDU

    Revista Română de Informatică și Automatică, Vol. 32 No. 3 · 2022 · Romanian · DOAJ Scopus

    Artificial Intelligence and Machine Learning have made exponential progress in the last decade with a significant technological impact both on individual users and organizations in multiple domains of activity. The capabilities of AI applications, which were built using dedicated algorithms, have…

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Perpustakaan Kampus · 13 print titlesShow all
  1. Journal Article Full text

    Detecting malicious IoT traffic using Machine Learning techniques

    Bhuvana JAYARAMAN; Mirnalinee THANGA NADAR THANGA THAI; Anirudh ANAND et al.

    Revista Română de Informatică și Automatică, Vol. 33 No. 4 · 2023 · Romanian · DOAJ Scopus

    …insecure communications in their patterns. Artificial intelligencebased machine learning approaches have the technologies to identify patterns of the intentional or insecure communications. In this paper, Random Forest, Decision Tree, SVM and 1DCNN have been used to discriminate patterns belonging…

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  2. Journal Article Full text

    Comparative analysis of web-based machine learning models

    Ana-Maria ȘTEFAN; Elena OVREIU; Mihai CIUC

    Revista Română de Informatică și Automatică, Vol. 34 No. 2 · 2024 · Romanian · DOAJ Scopus

    This paper presents a comparative analysis of web-based machine learning models, specifically examining Google Vertex AI, Google Teachable Machine, Azure Machine Learning and Salesforce Einstein Vision. The objective is to assess their suitability for integration into a medical information system…

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  3. Journal Article Full text

    Enhancing Supervised Machine Learning Output Using Image Processing Techniques

    Razvan DUTESCU

    Informatică economică, Vol. 25 No. 3 · 2021 · Romanian · DOAJ

    …was made to replant them. This is achieved by using a decision trees machine learning model and by using clear pictures of the ground as well as some ground variables to determine where a particular forest is. Furthermore, additional steps were taken in an effort to improve the result.

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  4. Journal Article Full text

    Real-time classification of EEG signals using Machine Learning deployment

    Swati CHOWDHURI; Satadip SAHA; Samadrita KARMAKAR et al.

    Revista Română de Informatică și Automatică, Vol. 34 No. 4 · 2024 · Romanian · DOAJ Scopus

    …the students' electroencephalography (EEG) signals and employing machine learning algorithms, this study proposes a comprehensive solution for addressing this challenge. Machine learning has emerged as a powerful tool for simplifying the analysis of complex variables, enabling the effective…

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  5. Journal Article Full text

    Analysis of traditional machine learning approaches on heart attacks prediction

    Micheal BERDINANTH; Samah SYED; Shudhesh VELUSAMY et al.

    Revista Română de Informatică și Automatică, Vol. 34 No. 1 · 2024 · Romanian · DOAJ Scopus

    …is motivated by the imperative need to develop effective predictive machine learning models. The central problem addressed here in is the identification of individuals at risk of experiencing a heart attack. In response to this problem, two distinct models have been devised and meticulously…

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  6. Journal Article Full text

    Evaluating sentiment analysis for Arabic Tweets using machine learning and deep learning

    Areej ALSHUTAYRI; Huda ALAMOUDI; Boushra ALSHEHRI et al.

    Revista Română de Informatică și Automatică, Vol. 32 No. 4 · 2022 · Romanian · DOAJ Scopus

    …Naïve Bayes, Logistic Regression, and Support Vector Machines (SVM) machine learning algorithms. The Logistic Regression algorithm achieved the highest accuracy, that is with 63.40%. The Long Short-Term Memory (LSTM) neural network was used for the deep learning-based classification, and it reached…

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  7. Journal Article Full text

    Image Classification Using Machine Learning Algorithms in Google Earth Engine Environment

    Paul TEODORESCU; Simona-Nicoleta VOICU

    Informatică economică, Vol. 25 No. 3 · 2021 · Romanian · DOAJ

    In this paper it is proposed to classify an image using a Machine Learning approach inside the Google Earth Engine platform and Jupyter Notebook: feeding the computer with training data (in our case being points/pixels having a label which represent the land-cover type), it will learn to recognize…

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  8. Journal Article Full text

    Forecasting Transport Emissions through Machine Learning Approaches: Insights for Sustainable Logistics

    Ozan Özdemir; Şefika Özdemir

    Amfiteatru Economic, Vol 28, Iss 71, Pp 288 -306 (2026) · 2026 · Romanian · DOAJ Scopus

    …originality of the research lies in the comparative application of Machine Learning (ML)approaches – Random Forest and Gradient Boosting – alongside conventional LinearRegression models to predict and explain transport emissions. The methodology employedWorld Bank data covering the period 2000-2023…

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  9. Journal Article Full text

    A Dynamic Generator for Machine Learning Training for Traffic Management Systems

    Florin ANDREESCU

    Informatică economică, Vol. 26 No. 4 · 2022 · Romanian · DOAJ

    This study introduces the concept of a Dynamic Generator for Machine Learning (ML) training. The paper presents the use of this key concept in order to obtain valuable data about the traffic in a crowded city like Bucharest according to the city habits and to the real-time data collected. The…

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  10. Journal Article Full text

    The use of machine learning techniques in accounting. A short survey

    VLAD, Mariana; VLAD, Sorin

    Journal of Social Sciences, Vol. IV No. 3 · 2021 · Romanian · DOAJ

    Machine learning (ML) is a subset of artificial Intelligence (AI) aiming to develop systems that can learn and continuously improve the abilities through generalization in an autonomous manner. ML is presently all around us, almost every facet of our digital and real life is embedding some ML…

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  11. Journal Article Full text

    Tehnici bazate pe Machine Learning pentru îmbunătățirea depistării cancerului de sân

    Elena-Anca PARASCHIV; Elena OVREIU

    Revista Română de Informatică și Automatică, Vol. 30 No. 2 · 2020 · Romanian · DOAJ Scopus

    …nowadays, using different techniques based on advanced methods, such as Machine Learning. This article intends to present the research results in the field of Machine Learning applied for the purpose of classifying medical data. Using a set of different algorithms, the aim was to classify the…

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  12. Journal Article Full text

    Mobile Computing and Cloud maturity - Introducing Machine Learning for ERP Configuration Automation

    Elena Geanina ULARU; Florina Camelia PUICAN; George SUCIU et al.

    Informatică economică, Vol. 17 No. 1 · 2013 · Romanian · DOAJ

    …and we stress the importance of obtaining cloud maturity by using machine learning for automating configurations of software applications deployed on cloud nodes using the open source application ERP5 and SlapOS, an open source operating system for Decentralized Cloud Computing.

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  13. Journal Article Full text

    Sensing a Physical Object Gripping using Haptic Technology and Machine Learning Algorithms

    Swati CHOWDHURI; Swati BARUI; Sagnik MONDAL et al.

    Revista Română de Informatică și Automatică, Vol. 32 No. 2 · 2022 · Romanian · DOAJ Scopus

    This study describes a new method for gripping and sensing a physical object (or material) with a prosthetic arm that uses haptic technologies, kinaesthetic communication, and machine learning. Haptic technology is a method of determining if an object is firm or soft as if it were gripped by a…

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  14. Journal Article Full text

    Machine Learning for Football Match-Point Prediction. Algorithms Performance on Small Datasets

    Marin FOTACHE; Irina COJOCARIU; Armand BERTEA

    Informatică economică, Vol. 30 No. 2 · 2026 · Romanian · DOAJ

    …frameworks for data processing and exploration (tidyverse) and Machine Learning (tidymodels). Five classification algorithms were benchmarked. Results provide some insights on the classification performance when applied to small datasets. Also, the average team age and key-player minutes emerge as…

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  15. Journal Article Full text

    Empowering Local Image Generation: Harnessing Stable Diffusion for Machine Learning and AI

    Ahmed Imran KABIR; Limon MAHOMUD; Abdullah Al Fahad et al.

    Informatică economică, Vol. 28 No. 1 · 2024 · Romanian · DOAJ

    …can run their own Midjourney like AI image generation with the help of machine learning and generative AI.

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  16. Journal Article Full text

    An Analysis of the Most Used Machine Learning Algorithms for Online Fraud Detection

    Elena-Adriana MINASTIREANU; Gabriela MESNITA

    Informatică economică, Vol. 23 No. 1 · 2019 · Romanian · DOAJ

    …literature review methodology was applied. Based on the most called machine-learning algorithms in scientific articles and their characteristics, a hierarchical typology is made. Therefore, our paper highlights, in a new way, the most suitable techniques for detecting fraud by combining three…

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  17. Journal Article Full text

    Network Anomaly Detection by Means of Machine Learning: Random Forest Approach with Apache Spark

    Hesamaldin HAJIALIAN; Cristian TOMA

    Informatică economică, Vol. 22 No. 4 · 2018 · Romanian · DOAJ

    Nowadays the network security is a crucial issue and traditional intrusion detection systems are not a sufficient way. Hence the intelligent detection systems should have a major role in network security by taking into consideration to process the network big data and predict the anomalies behavior…

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