Using machine learning

The research subject is the process of economic and mathematical modelling of time series characterizing the bitcoin exchange rate volatility, based on the use of artificial neural networks. The purpose of the work is to search and scientifically substantiate the tools and mechanisms for developing prognostic estimates of the crypto currency market development. The paper considers the task of financial time series trend forecasting using the LSTM neural network for supply chain strategies.

5p longtimenosee09 08-04-2024 10 1   Download

One of the limitations of the BDI (Belief-Desire-Intention) model is the lack of any explicit mechanisms within the architecture to be able to learn. In particular, BDI agents do not possess the ability to adapt based on past experience. This is important in dynamic environments as they can change, causing previously successful methods for achieving goals to become inefficient or ineffective.

108p runthenight07 01-03-2023 10 3   Download

In this thesis, focus on the wireless links between devices equipped by deployed operating personnel and intermediary access point infrastructure. We use multi-radio (MR) platforms, wireless devices with multiple and diverse transceiver technologies, to produce robust and reliable links through adaptive control of available transceivers. Primarily, we study the application of intelligent control techniques, namely reinforcement learning (RL), for adaptive control over diverse transceivers to achieve the desired robustness and reliability under dynamic environmental conditions.

185p runthenight04 02-02-2023 7 2   Download

The research project deals with two different types of data for two separate analysis. The first analysis deals with normalised RNA-seq breast cancer data where machine learning techniques are used to classify and identify the biomarker of cancer. Second analysis deals with raw DNA methylated leukemia samples to determine the mutations.

102p runthenight04 02-02-2023 7 4   Download

This paper focuses on exploring Machine learning methods to automate this process. The main challenge we face is in generating adequate training datasets to train the Machine learning model. Creating training data by manually segmenting real images is very labour-intensive, so we have instead tested methods of automatically creating synthetic training datasets which have the same attributes of the original images. The generated synthetic images are used to train a U-net Model, which is then used to segment the original bread dough images.

75p runordie3 06-07-2022 3 1   Download

Research Aims: The thesis aims to develop deep neural networks for analyzing security data. These techniques improve the accuracy of machine learning-based models applied in NAD. Therefore, the thesis attempts to address the above challenging problems in NAD using models and techniques in deep neural networks. Specifically, the following problems are studied.

128p armyofthedead 23-06-2021 14 3   Download

Pricing and guessing the right prices are vital for both hosts and renters on homesharing plat-form from internet based companies. To contribute the growing interest and immense literatureon applying Artificial Intelligence on predicting rental prices, this paper attempts to build ma-chine learning models for that purpose using the Luxstay listings in Hanoi. R2 score is used as the main criterion for the model performance and the results show that Extreme GradientBoostings (XGB) is the model with the best performance with R2= 0.

44p hoanghung9393 28-08-2020 12 3   Download

The resulting model is a Document Retriever, called QASA, which is then integrated with a machine reader to form a complete open-domain QA system. Our system is thoroughly evaluated using QUASAR-T dataset and shows surpassing results compared to other state-of-the-art methods.

67p tamynhan1 13-06-2020 21 4   Download

The goal of the simulation strategies is to model complex multi-physics and multi-scale phenomena specific to nuclear reactors. The use of machine learning combined with such advanced simulation tools is also demonstrated to be capable of providing useful information for the detection of anomalies during operation.

14p christabelhuynh 29-05-2020 7 3   Download

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system.

12p tohitohi 22-05-2020 28 2   Download

To help you Specialized Engineering - Fabrication machine more references serve the needs of learning and research, invite you to consult the document content "Soldering is easy here's how to do it". Content documentation using welding tools effectively. Hopefully document content useful service for you.

8p grintokyro 11-01-2016 40 1   Download

In this tutorial I will introduce ‘learning to rank’, a machine learning technology on constructing a model for ranking objects using training data. I will first explain the problem formulation of learning to rank, and relations between learning to rank and the other learning tasks. I will then describe learning to rank methods developed in recent years, including pointwise, pairwise, and listwise approaches.

1p hongphan_1 15-04-2013 53 2   Download

I have noticed over the years that students have great deal of difficulty dealing with composite and abstract data types. Therefore we are going spend an extra lab review material we have already learned. Vector data type, a variation of array, will be introduced as well. Vector data type (Vector Class) can be used when you need an array that grows dynamically. However, C++ does not allow us to declare size of an array dynamically like some other languages. It is important for you to declare the maximum size you will need. Suppose you are writing a program to keep...

7p linhtk93 15-04-2013 58 2   Download

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Digital Communication Receivers Using Gaussian Processes for Machine Learning

12p sting09 21-02-2012 37 3   Download

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: Improved base calling for the Illumina Genome Analyzer using machine learning strategies...

0p thulanh21 12-11-2011 42 2   Download

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học quốc tế đề tài: Genome-wide prediction of discrete traits using bayesian regressions and machine learning

12p toshiba18 08-11-2011 59 3   Download