Learning process

The process of neural stem cell (NSC) differentiation into neurons is crucial for the development of potential cell-centered treatments for central nervous system disorders. However, predicting, identifying, and anticipating this differentiation is complex. In this study, we propose the implementation of a convolutional neural network model for the predictable recognition of NSC fate, utilizing single-cell brightfield images.

7p viengfa 28-10-2024 1 1   Download

Sentiment Analysis and Opinion Mining have emerged as highly popular fields for analyzing and extracting valuable information from textual data sourced from diverse platforms like Facebook, Twitter, and Amazon. These techniques hold a crucial role in empowering businesses to actively enhance their strategies by gaining comprehensive insights into customers' feedback regarding their products.

6p viengfa 28-10-2024 1 1   Download

For this paper, I would like to address the roles of motivation and affective effects on second language acquisition by addressing the following questions: 1) What are the roles of motivation and affective effects in language acquisition? 2) What are the triggers of these effects and how they affect students learning process? 3) What can teachers do to raise or alleviate these effects for the betterment of language learning? For the first question...

8p vifilm 11-10-2024 2 0   Download

This paper scrutinizes two lane detection methods: image processing in isolation and integrating deep learning techniques with Hough transformation. The deep learning techniques specifically discuss two models, namely YOLOv8 pose estimation and YOLOv8 object detection.

14p vibecca 01-10-2024 3 1   Download

The observation of operating parameters for the single-phase or multiphase flows of oil and gas pipelines always plays an important role and prerequisite in daily operation. The inlet and outlet parameters of the pipeline such as pressure and temperature will greatly affect the efficiency of the production and transportation process of fields. These parameters are very important.

11p viyoko 01-10-2024 6 1   Download

This paper addresses the problem of automatically extracting threat intelligence from unstructured text sources. We focus specifically on the possibility of multiple relations between two entities and propose a two-stage process that allows any binary classifier to be used for multiclass classification without interfering with the binary algorithm used.

9p viyoko 01-10-2024 2 1   Download

Currently, machine learning not only solves simple problems such as object classification but also machine learning is widely applied in the field of computer vision such as identification systems, object detection, and modules in the authentication system, intelligent processing algorithms such as automatic driving, chatbot, etc.

14p viyoko 01-10-2024 1 1   Download

In this paper, we propose a novel DL-based solution for web attack detection, named DL-WAD, leveraging deep learning and natural language processing techniques. Moreover, DL-WAD is designed with a data preprocessing mechanism aimed at differentiating between regular web requests and malicious ones that carry attack payloads encompassing multiple types of web attacks.

11p viyoko 01-10-2024 6 1   Download

Academic motivation is a crucial process that initiates learning effectiveness and impacts students’ educational performance. It is also one of the most difficult challenges confronting instructors in nursing education. This study aims to investigate the academic motivation levels among Vietnamese nursing students. and related factors influencing their motivation.

9p viormkorn 27-09-2024 2 1   Download

Timely monitoring the large-scale civil structure is a tedious task demanding expert experience and significant economic resources. Towards a smart monitoring system, this study proposes a hybrid deep learning algorithm aiming for structural damage detection tasks, which not only reduces required resources, including computational complexity, data storage but also has the capability to deal with different damage levels.

12p vifilm 24-09-2024 3 1   Download

This paper aims to use the AdaBoost-DE algorithm for optimizing steel roof trusses. The AdaBoost-DE employed in this study is a hybrid algorithm in which the AdaBoost classification technique is used to enhance the performance of the Differential Evolution algorithm by skipping unnecessary fitness evaluations during the optimization process. An example of a duo-pitch steel roof truss with a span of 24 meters is carried out.

12p vifilm 24-09-2024 3 1   Download

Using a data-driven approach to study and predict the shear strength of slender steel fiber reinforced concrete beams has great applicability for the design and construction process. Based on the data-driven approach, an Artificial Neural Network (ANN) model with some hyperparameters optimized by Particle Swarm Optimization (PSO) algorithm is successfully built.

12p vifaye 20-09-2024 2 1   Download

In the first part of this paper, the Kriging metamodeling technique will be briefly reviewed. Then, we present a new learning function by accounting for the distance constraint in the selection process of the new training points (TPs) to enrich the Design of Experiment (DoE) of the built surrogate.

17p vifaye 20-09-2024 2 1   Download

This article introduces a Gaussian process regression using machine learning approach to predict the behavior of reinforced fly ash concrete (RFAC) columns in the form of axial load (N) - midheight lateral displacement (∆) relation curve.

14p vifaye 20-09-2024 4 2   Download

Graduation thesis "Negative impacts of social media on English learning among freshman English majors at Hai Phong University of Management and Technology" aims to identify and examine the negative impacts of social media on the process of learning English. By understanding these negative effects, educators and institutions can develop effective strategies to minimize their impact and enhance language learning outcomes.

74p daonhiennhien 03-07-2024 7 4   Download

Graduation thesis "A study on the impacts of the part-time jobs on English-majored student’s language learning at Hai Phong Management and Technology" aims at the following goals: find out benefits and drawbacks of students working part-time during college. Exploring the reality of the effects of part-time jobs on the English learning process of HPU English majored students. Suggest some recommendations for English majored students to help them decide to work part-time.

43p daonhiennhien 03-07-2024 3 3   Download

Graduation thesis "A study on the Difficulties of second-year English major students at Hai Phong University of Management and Technology when learning speaking skill of two foreign languages and suggested solutions" will analyze the information and data collected during the survey and evaluation process to be able to propose solutions to improve difficulties and help second-year students study well two languages in the university.

60p daonhiennhien 03-07-2024 7 3   Download

Graduation thesis "A study on adopting shadowing technique to enhance pronunciation of the first-year English majors at Hai Phong Management and Technology University" aims to introduce the Shadowing technique to the first-year English majors at Hai Phong Management and Technology University. The author wishes to emphasize that the focus of this study is on first-year English majors. Because having the right direction from the beginning will make the process of learning English at university easier and more efficient.

73p daonhiennhien 03-07-2024 8 3   Download

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 9 1   Download

Bài giảng HDL & FPGA - Chương 5: Các vấn đề khác. Chương này cung cấp cho sinh viên những nội dung kiến thức gồm: interesting topics in the field of Reconfigurable Computing (FPGA); Network-on-Chip - bối cảnh ra đời; Signal processing & Machine learning applications on FPGA; Hybrid reconfigurable CPUs; một vài ứng dụng trên FPGA;... Mời các bạn cùng tham khảo!

17p nguyetthuongvophong1010 04-03-2024 4 1   Download