It has become absolutely necessary to identify malicious URLs in real time due to the growing number of cyber-attacks and fraudulent activities that take place on the internet. Within the scope of this study, proposin...
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the use of machinelearning methods in fiberoptic information transmission systems (FOITS) is considered. the article discusses the basic operating principles of fiber optic systems and the problems they face, such as...
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machinelearning models underpin many modern financial systems for use cases such as fraud detection and churn prediction. Most are based on supervised learning with hand-engineered features, which relies heavily on t...
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ISBN:
(纸本)9798400702402
machinelearning models underpin many modern financial systems for use cases such as fraud detection and churn prediction. Most are based on supervised learning with hand-engineered features, which relies heavily on the availability of labelled data. Large self-supervised generative models have shown tremendous success in natural language processing and computer vision, yet so far they haven't been adapted to multivariate time series of financial transactions. In this paper, we present a generative pretraining method that can be used to obtain contextualised embeddings of financial transactions. Benchmarks on public datasets demonstrate that it outperforms state-of-the-art self-supervised methods on a range of downstream tasks. We additionally perform large-scale pretraining of an embedding model using a corpus of data from 180 issuing banks containing 5.1 billion transactions and apply it to the card fraud detection problem on hold-out datasets. the embedding model significantly improves value detection rate at high precision thresholds and transfers well to out-of-domain distributions.
the purpose of this study was to develop an application for early heart disease prediction using a data mining approach. A clinical dataset of 303 patients was gathered from the UCI repository that was available at ht...
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ISBN:
(纸本)9781665442886
the purpose of this study was to develop an application for early heart disease prediction using a data mining approach. A clinical dataset of 303 patients was gathered from the UCI repository that was available at http://***/ml/datasets/Heart+Disease. there were 13 attributes that were used to classify the patient into two class predictions namely No presence or Have heart disease. machinelearning with CART algorithm used for backend. Flask micro web framework used for middleware and Bootstrap web framework used for frontend. the experiment result performed the application for early heart disease prediction with CART achieved performance for accuracy 88.33%, precision 88.00%, F Measure 86.28%, recall 84.62%.
Named entity recognition (NER) is a critical task in natural language processing, involving the identification and classification of entities in text. Traditional approaches to NER, such as rule-based methods and supe...
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machinelearning serves as the core component of artificial intelligence (AI), however, there is scant interdisciplinary research between AI and applied linguistics. Very few studies touched upon the aspect of how to ...
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the proceedings contain 232 papers. the topics discussed include: optimal design of ultra-thin seats based on ergonomics;research on coverless text steganography based on multi-rule language models alternation;researc...
ISBN:
(纸本)9781728146898
the proceedings contain 232 papers. the topics discussed include: optimal design of ultra-thin seats based on ergonomics;research on coverless text steganography based on multi-rule language models alternation;research on wood species recognition method based on hyperspectral image texture features;optimization of public traffic network considering demand satisfaction rate;optimization planning of distribution network structure in Benxi area based on ant colony algorithm;identity-based aggregate signature scheme in vehicle ad-hoc network;tool wear volume and residual life prediction based on extreme learningmachine;and application of improved optics algorithm in intelligent lighting system.
the Super Sketch-Pad (SSP) is a dynamic geometry software of China, which is a Chinese version designed for the teaching and learning of mathematics. this paper mainly introduces its motion driving mechanism, some app...
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ISBN:
(纸本)9781424435197
the Super Sketch-Pad (SSP) is a dynamic geometry software of China, which is a Chinese version designed for the teaching and learning of mathematics. this paper mainly introduces its motion driving mechanism, some application in dynamic geometry, locus, and trace, and so forth. SSP lead students to understand the geometrical characters of graphs visually, to see the beauty of geometry and to enhance their interests in mathematics. Dynamic geometry softwares and SSP will develop rapidly in mathematics education.
the possibility of using the bioelectrography method for detecting pathology of internal organs is considered. Sets of data sets for machinelearning are formed on the basis of ultrasonic diagnostics readings. machine...
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Language is a vital part of society, as being able to converse with one another allows people to grow advance and share resources. We value the ability of being able to communicate with people and being able to have o...
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ISBN:
(纸本)9781450385930
Language is a vital part of society, as being able to converse with one another allows people to grow advance and share resources. We value the ability of being able to communicate with people and being able to have our lives interact. Just as humanity advances so does language, as well as the inherent language barriers that are associated with it. One communication barrier to be overcome is improving the ability for the non-verbal and verbal speakers to effectively communicate with each other. Withthe aid of technology, communication between these two parties has improved. this study aims to showcase how to improve the effectiveness of communication between the non-verbal and verbal speakers by using machinelearning and computer vision. An application, named Veritas was developed to allow people using sign language to communicate their messages and have that message translated into readable text. Veritas helps people who are struggling with verbal communication communicate better with a non-verbal speaker and vice versa.
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