19 results for machine learning
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Journal Article
Prediction of wine quality using machine learning techniques
…taken into account, temperature and annual precipitation. At times when machine learning had not yet been discovered, each process was very complicated and time-consuming. Therefore, machine learning is a very smart move to get fast and accurate results. Pearson correlation coefficient was used to…
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Journal Article
Usage of Fuzzy Logic and Machine Learning in Web Development
This paper presents the possibility of using fuzzy logic and machine learning in web development with PHP programming language. Fuzzy logic and machine learning found their applications in various fields of web development. The Python programming language is one of the most popular for developing…
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Journal Article
The role of machine learning in the modern management of heart failure
Introduction: The use of machine learning is exploding in all areas of healthcare, including the diagnosis and treatment of heart failure. Supervised machine learning can help predict the onset of heart failure, establish the diagnosis, and even predict decompensations. Conversely, unsupervised…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Journal Article
Innovative Strategies and Student Academic Performance: Machine Learning Insights on International Students in Chinese Universities
…approach that incorporates questionnaire surveys and dominant Machine Learning Algorithms, such as Multiple Linear Regression (MLR), Decision Tree Model (DTM), Support Vector Regression Model (SVRM), and K-nearest neighbors (KNN). By employing rigorous data-gathering approaches, our study aimed to…
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Journal Article
Machine Learning or Human Education? Thoughts and Data on Artificial Intelligence and the Labor Market: Economic Sociological Aspects of Career Orientation.
The economic trends reviewed in this paper will play a prominent role in the labor market of the near future with the exponential growth of the uptake of artificial intelligence applications. The author reviews some of the megatrends related to the economic and social aspects of artificial…
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Journal Article Full text
A Meta-Learning Model of Philippine Bank Lending Behaviour
This study develops a meta-learning framework to predict the lending behaviour of Philippine commercial banks using aggregate bank financial ratios and macroeconomic variables. Five baseline machine learning models – Boosting, k‑Nearest Neighbours, Neural Networks, Random Forest, and Support Vector…
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Journal Article
LSI with Support Vector Machine for Text Categorization – a practical example with Python
Artificial intelligence is becoming a powerful tool of modernity science, there is even a science consensus about how our society is turning to a data-driven society. Machine learning is a branch of Artificial intelligence that has the ability to learn from data and understand its behavers. Python…
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Journal Article
Application of Artificial Intelligence in Medicine
…is a time-consuming and tedious task. In this work, the author presents a machine learning approach for automatic identification and counting of three types of blood cells using Detectron2, a popular PyTorch based modular computer vision model library. Detectron2 detector has been trained on public…
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Journal Article
Use of AI systems in developing a more sustainable animal husbandry and production
AI systems have become integral to many fundamental human activities, including industry, agriculture, healthcare, and scientific research. A comprehensive review of the literature on primary AI applications in animal husbandry and production has been conducted. Relevant sources were collected and…
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Journal Article
Cryptography and cryptographic packages in Python
…encryption and are regularly up- dated. As artificial intelligence and machine learning develop in parallel, models are pro- duced that facilitate tracking and analysis without constant human monitoring, and one such example is the placement of products by a company from a foreign user to a user…
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Journal Article
Consequences of an Analysis Using Biblical Analogies for Automated Vehicle Control Design
The paper proposes an analysis of learning-based approaches for automated vehicle control systems from an ethical viewpoint. An analysis using analogies between selected biblical texts and operation concepts of learning-based approaches is per-formed. Thus, analogies for supervised, unsupervised…
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Journal Article
Manufacturing Process Optimization and Tool Condition Monitoring in Mechanical Engineering
…are applied for the measurement and the digital signal processing. Machine learning method with artificial neural network is for the detection and prediction of the edge wear to estimate the remaining useful lifetime (RUL) of the tool.
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Journal Article
Optimizing Neural Network Hyperparameters Using Genetic Algorithms for Predicting Student Adaptability in Online Education
Predicting student adaption is a crucial component of studying online learning material. Machine learning algorithms are crucial in this situation. Deep learning is a fundamental concept in machine learning algorithms. This work used Python in the Jupyter Notebook environment to implement the deep…
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Journal Article
The Year in Hungarian Cardiology 2023: Arrhythmias
…of ventricular tachycardia (VT) ablation was a landmark paper of our “machine learning” research. Further studies have made significant strides in cardiac device therapy, notably through the groundbreaking BUDAPEST-CRT Upgrade Trial for heart failure, which demonstrated marked reductions in deaths…
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Journal Article
The Impact of Optical Character Recognition Artificial Intelligence on the Labour Market
…this level of data processing capacity, programs and applications using machine learning are also gaining ground. During machine learning, biologically inspired simulations are performed by using artificial neural networks to able to solve any kind of problems that can be solved by computers. The…
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Journal Article
Artificial Intelligence in Forensic Sciences Revolution or Invasion? Part II
…databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute. Value: In the field of forensic sciences, no such detailed…
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Journal Article Full text
The Relationship between ESG Factors and Corporate Credit Risk: Research Trends from a Bibliometric Perspective
…analyses, and the application of innovative artificial intelligence and machine learning-based methodological frameworks are areas that could generate significant added value in both academic and market contexts.
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Journal Article
Artificial Intelligence in Forensic Sciences Revolution or Invasion? Part I
…databases unmanageable with traditional methods, pattern recognition, and machine learning can all be important tools for forensic science. However, an important conclusion is that AI is a supporter of human expert work, not a substitute. Value: In the field of forensic sciences, no such detailed…
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Journal Article
Adatelemzési folyamat és keretrendszer a közigazgatás számára (Data analysis process and framework for public administrations)
…a neural network architecture - is automatically designed through a machine learning process. As this trend is expected to increase in the future, it is advisable to build the analysis procedures to fit into this framework. Accordingly, emphasis should be put on pre-processing the datasets to be…