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Articles 3601 - 3613 of 3613
Full-Text Articles in Computer Sciences
Xgboost For Prediction Of Ethereum Short-Term Returns Based On Technical Factor, Wipawee Nayam
Xgboost For Prediction Of Ethereum Short-Term Returns Based On Technical Factor, Wipawee Nayam
Chulalongkorn University Theses and Dissertations (Chula ETD)
Unlike traditional currencies that rely on centralized such as banks or governments, cryptocurrencies today have become popular due to its decentralized transactions. Decentralization takes advantage of no requirement for intermediaries, thus reducing transaction fees and processing time. However, investing in cryptocurrencies incurs risks and uncertainties due to price volatility and rapid changes. The fact that prediction of asset prices is complex due to the influence of multiple factors on price movements. This paper studied the technical factor to analyze the short-term returns of Ethereum in the periods of 1-10 days. The historical data containing Ethereum closing price are collected from …
Class-Level And Token-Level Approaches For Test Impact Analysis, Alon Basin
Class-Level And Token-Level Approaches For Test Impact Analysis, Alon Basin
Chulalongkorn University Theses and Dissertations (Chula ETD)
The objective of the thesis is to examine the efficacy of test impact analysis in a setting of continuous testing, where automated test cases are routinely run to guarantee the integration of high-quality codes. While continuous testing can enhance code quality and minimize maintenance workload, it also leads to a notable rise in overhead for test execution. In our study on test impact analysis, we developed a novel static class level technique that utilizes JavaParser to create a dependency graph between test cases and source code classes based on abstract syntax trees. We applied this technique to seven Java systems …
Estimating Stock Price Based On Information From Financial Statement Using Machine Learning Approach, Thitikun Kunathananon
Estimating Stock Price Based On Information From Financial Statement Using Machine Learning Approach, Thitikun Kunathananon
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study introduces a new tool for stock market investors and institutions constructed from Long Short-Term Memory (LSTM) for predicting stock prices. By effectively analyzing financial statements and stock market data, LSTM provides a fast, unbiased, low-cost solution for stock price prediction, intending to increase profits for investors and reduce losses. The study results indicate that LSTM can maintain effectively captures complex relationships in the data and predicts stock prices. This research highlights the potential of LSTM as a valuable and innovative tool for investors and institutions in the stock market.
Job-Candidate Classifying And Ranking System With Machine Learning Method, Thapanee Boonchob
Job-Candidate Classifying And Ranking System With Machine Learning Method, Thapanee Boonchob
Chulalongkorn University Theses and Dissertations (Chula ETD)
Finding suitable candidates for an open job position could be a repetitive and time-consuming task, especially from a large pool of candidates. Besides, this task could truly make fair screening and shortlisting tedious. Losing the opportunity to hire top talent candidates due to the slow screening process or the wrong selection by human error is unacceptable. This paper presented a method for human resources to categorize and select the top candidates for job opening they applied for. The proposed system directed to alter a machine learning algorithm to classify the candidate into groups i) shortlist and ii) not-suitable. The productive …
Y-X-Y Encoding For Identifying Types Of Sentence Similarity, Thanaporn Jinnovart
Y-X-Y Encoding For Identifying Types Of Sentence Similarity, Thanaporn Jinnovart
Chulalongkorn University Theses and Dissertations (Chula ETD)
The task of finding semantic similarity of any two arbitrary sentences consists of two main steps, which are encoding sentences to produce feature vectors of equal length and measuring the similarity, respectively. The quality of an encoding technique can determine the degree of success a model can achieve in measuring the similarity. This is because a good representation is subjected to how finely established the spectrum of similarities is. The clearer the definition of similarity is, the better the representations can be constructed. This, in turn, helps distinguish between types of sentences. Generally, all existing methods for measuring similarity were …
Investigate The Possibility Of Using Smart Contracts And Digital Signatures To Create A Legally Binding Contract, And To Create A Prototype Opensource Web Application As A Proof Of Concept, Yosnai Chanatrutipan
Investigate The Possibility Of Using Smart Contracts And Digital Signatures To Create A Legally Binding Contract, And To Create A Prototype Opensource Web Application As A Proof Of Concept, Yosnai Chanatrutipan
Chulalongkorn University Theses and Dissertations (Chula ETD)
We investigated the possibility of using blockchain to create a legally binding contract. According to our study, blockchain can be used to authenticate the identities of the involved parties, to provide a cryptographically generated electronic signature used to sign a contract, and to automate and enforce the term of an agreement. The authentication and the signing are done using a blockchain-based self-sovereign identity framework called a decentralized identity and verifiable credentials. The term can be enforced by using a smart contract, a program that runs on the blockchain. Some contracts terms are too complex to be translated into a smart …
Real-Time Object Detection For Screening Cannabis Seed Gender, Prachya Boonsri
Real-Time Object Detection For Screening Cannabis Seed Gender, Prachya Boonsri
Chulalongkorn University Theses and Dissertations (Chula ETD)
Perception and understanding of cannabis are more expansive than they formerly were. Almost all growers are primarily interested in getting harvests of big flower buds from cannabis female plants since THC, CBD and other cannabinoids are found in female flowers and valuable for medical and industrial market segments. Selecting only female seeds to cultivate is thus an important step to produce THC, CBD profitably. Unfortunately, outdoor cultivation in Thailand traditionally grows regular cannabis seeds that grow up of mixed male and female plants. The male plants will be later spot and eliminated during the pre-flowering stage. This incurs the higher …
Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul
Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul
Chulalongkorn University Theses and Dissertations (Chula ETD)
GPS accuracy can be compromised in urban areas due to multipath issues, leading to low accuracy in GPS location. Therefore, map matching has been introduced as a method to reduce the GPS location error. However, current map matching methods require high-frequency GPS data, and may not perform well with low-frequency data. To address this issue, this study explores the use of machine learning technology and classification methods to adjust the low-frequency GPS location. The model developed in this research employs features such as speed, heading, and location of the previous GPS point for machine learning training, ultimately leading to more …
Using Graph Evolutionary To Retrieve Related Tweets, Patta Yovithaya
Using Graph Evolutionary To Retrieve Related Tweets, Patta Yovithaya
Chulalongkorn University Theses and Dissertations (Chula ETD)
Due to its popularity and daily active users, social media has become powerful and influential in the last decade. With the nature of a micro-blogging platform, instant messages and the latest short posts are sent throughout the network on Twitter. Therefore, most users utilize Twitter to update breaking news or the latest events. Since a huge volume of tweet messages have been published on Twitter, event evolution has also rapidly developed into related events within similar topics. In this study, we present a novel method to retrieve tweets that relate to a given query term. Not only perfectly matched tweets, …
A Comparative Study On Out Of Scope Detection For Chest X-Ray Images, Nuttapol Kamolkunasiri
A Comparative Study On Out Of Scope Detection For Chest X-Ray Images, Nuttapol Kamolkunasiri
Chulalongkorn University Theses and Dissertations (Chula ETD)
Image classification models in actual applications may receive input outside the intended data distribution. For crucial applications such as clinical decision-making, it is critical that a model can recognize and describe such out-of-distribution (OOD) inputs. The objective of this study is to investigate the efficacy of several approaches for OOD identification in medical images. We examine three classes of OOD detection methods (Classification models, Confidence-based models, and Generative models) on the data of X-ray images. We found that simple classification methods and HealthyGAN perform the best overall. However, HealthyGAN cannot generalize to unseen scenarios, while classification models still retain some …
Combining Technical Analysis And Deep Learning Models For Stock Market Trading, Phurinut Pholsri
Combining Technical Analysis And Deep Learning Models For Stock Market Trading, Phurinut Pholsri
Chulalongkorn University Theses and Dissertations (Chula ETD)
The issuance of stocks constitutes a means by which ownership in a company is represented, and its distribution may vary depending on whether the company is limited or public. The stock market offers the potential for high returns, thereby serving as an attractive avenue for investment. Against this backdrop, the objective of this study is to develop a predictive model for stock prices that can facilitate profitable trading outcomes. To achieve this aim, the study focuses on intraday and hourly trading and utilizes a hybrid model that integrates Bidirectional Long Short-Term Memory (BiLSTM) and Convolutional Neural Network (CNN) architectures, along …
Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam
Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam
Chulalongkorn University Theses and Dissertations (Chula ETD)
There is still no effective treatment for type 2 diabetes, which has been on the rise for years. By repositioning current medications for new indications, drug repurposing can aid in the discovery of novel medications. Deep learning has recently been applied to this problem via link prediction utilizing a graph representation that learns from either the structure of a graph or the semantic meaning of entity text. However, because they used a single representation as the basis for their work without making any model improvements, earlier attempts still had restricted performance. In this study, we suggest a new deep-learning approach …
ปัจจัยที่ส่งผลต่อความตั้งใจใช้แอปพลิเคชันโทรเวชกรรม, มนัสวี ศรีราช
ปัจจัยที่ส่งผลต่อความตั้งใจใช้แอปพลิเคชันโทรเวชกรรม, มนัสวี ศรีราช
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้เป็นการวิจัยเชิงสำรวจเพื่อวิเคราะห์ปัจจัยที่ส่งผลต่อความตั้งใจใช้แอปพลิเคชันโทรเวชกรรม ซึ่งเป็นแอปพลิเคชันที่เป็นสื่อกลางในการสื่อสารเนื้อหาทางการแพทย์จากแพทย์สู่ผู้เข้ารับบริการทางการแพทย์ ที่สามารถลดข้อจำกัดด้านเวลา ด้านสถานที่ รวมถึงเพิ่มความปลอดภัยจากโรคระบาด โดยศึกษาว่าปัจจัยใดบ้างที่ส่งผลต่อความตั้งใจใช้แอปพลิเคชันโทรเวชกรรมของคนไทย ซึ่งเกิดในปี พ.ศ. 2508 ถึง 2552 หรือครอบคลุมเจเนอเรชันเอ็กซ์ วาย และแซดที่ไม่มีประสบการณ์เข้ารับบริการจากแพทย์ผ่านแอปพลิเคชันโทรเวชกรรมมาก่อน โดยใช้หน่วยตัวอย่างจำนวน 500 คน เครื่องมือที่ใช้ในการเก็บข้อมูลคือแบบสอบถามออนไลน์ สถิติที่ใช้ในการวิเคราะห์ข้อมูล คือสถิติเชิงพรรณนา ได้แก่ ค่าเฉลี่ย ร้อยละ ส่วนเบี่ยงเบนมาตรฐาน และการวิเคราะห์สัมประสิทธิ์สหสัมพันธ์เชิงอันดับของสเปียร์แมน ผลการวิจัย พบว่า ปัจจัยที่ส่งผลเชิงบวกต่อความตั้งใจใช้แอปพลิเคชันโทรเวชกรรมมากที่สุดในภาพรวม ได้แก่ ปัจจัยอิทธิพลทางสังคม สำหรับผู้ตอบแบบสอบถามเจเนอเรชันเอ็กซ์ ได้แก่ ปัจจัยอิทธิพลทางสังคม สำหรับผู้ตอบแบบสอบถามเจเนอเรชันวาย ได้แก่ ปัจจัยลักษณะนิสัย และสำหรับเจเนอเรชันแซด ได้แก่ ปัจจัยความคาดหวังในชื่อเสียง ผู้วิจัยมีความคาดหวังว่าผลการวิเคราะห์จากงานวิจัยชิ้นนี้จะเป็นประโยชน์ต่อสถาบันหรือผู้พัฒนาที่เกี่ยวข้อง โดยนำผลลัพธ์การวิจัยไปใช้เพื่อพัฒนาแอปพลิเคชันโทรเวชกรรมให้มีการบริการที่สอดคล้องกับความต้องการของผู้ใช้ได้ในอนาคต