Search Results - "2022 14th International Conference on Knowledge and Smart Technology (KST)"

Detection of Mental State from EEG Signal Data: An Investigation with Machine Learning Classifiers by Rahman, Ahnaf Akif, Siraji, Muntequa Imtiaz, Khalid, Lamim Ibtisam, Faisal, Fahim, Nishat, Mirza Muntasir, Islam, Mohammad Rakibul, Ibrahim moubarak, Nchouwat Ndumgouo

“…The mental state of a person is a combination of very complex neural activities which determine the current state of mind. It depends on a lot of external…”
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Unsupervised and Ensemble-based Anomaly Detection Method for Network Security by Yang, Donghun, Hwang, Myunggwon

“…Bigdata and IoT technologies are developing rapidly. Accordingly, consideration of network security is also emphasized, and efficient intrusion detection…”
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SIREN! Detecting Burmese Hate Speech Comments on Social Media by Me Chit, Khin Me, Chan Myae Win Shein, Yi Yi, Yan, Wai, Khine, Aye Hninn

“…Hate Speech on Social Media is definitely an evolving threat for every nation, especially for countries like Myanmar. Lack of media and digital literacy is…”
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Comparison Analysis of Data Augmentation using Bootstrap, GANs and Autoencoder by Nakhwan, Mukrin, Duangsoithong, Rakkrit

“…In order to improve predictive accuracy for insufficient observations, data augmentation is a well-known and commonly useful technique to increase more samples…”
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Loan Default Risk Prediction Using Knowledge Graph by Alam, Md. Nurul, Ali, Muhammad Masroor

“…Credit risk, also known as loan default risk, is one of the significant financial challenges in banking and financial institutions since it involves the…”
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Development of Anomaly Detection Model for Welding Classification Using Arc Sound by Jirapipattanaporn, Phongsin, Lawanont, Worawat

“…This study introduces the method to classify weld bead type from arc sound of the gas metal arc welding process by applying machine learning techniques. In…”
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Obstacles Detection for Electric Wheelchair with Computer Vision by Patthanajitsilp, Phenphitcha, Chongstitvatana, Prabhas

“…This research aims to present the detection system of an obstacle for electric wheelchair using computer vision in order to facilitate for disabled persons and…”
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A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration by Mekruksavanich, Sakorn, Jantawong, Ponnipa, You, Ilsun, Jitpattanakul, Anuchit

“…Sensor advanced technologies have facilitated the growth of various solutions for recognizing human movement through wearable devices. Characterization of the…”
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VAPE-BRIDGE: Bridging OpenVAS Results for Automating Metasploit Framework by Vimala, Kankanok, Fugkeaw, Somchart

“…Vulnerability assessment (VA) and penetration test (PenTest) are required by many organizations to satisfy their security auditing and compliance. VA and…”
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Developing an Automatic Speech Recognizer For Filipino with English Code-Switching in News Broadcast by Lim, Mark Louis, Xu, Aaron John, Lin, Charles Stepven, Chen, Zishi, Pascual, Ronald

“…Closed-captioning systems are well-known for video-based broadcasting companies as society transitions into internet-based information consumption. These…”
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Explainable Digital Currency Candlestick Pattern AI Learner by Chen, Jun-Hao, Wu, Cheng-Han, Tsai, Yun-Chneg, Yen-Chi Chen, Samuel

“…More and more hedge funds have integrated AI techniques into the traditional trading strategy to speculate on Digital Currency. Among the conventional…”
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Comparison of Clustering Techniques for Thai Mutual Funds Fee Dataset by Whasphuttisit, Jakkaphan, Jitsakul, Watchareewan, Kaewkiriya, Thongchai

“…There are researches that study about clustering techniques e.g., K-Means, K-Medoids, and X-Means. Their works mainly focus on applying one technique on…”
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GSAP: A Hybrid GRU and Self-Attention Based Model for Dual Medical NLP Tasks by Liu, Huey-Ing, Chen, Meng-Wei, Kao, Wei-Chun, Yeh, Yao-Wen, Yang, Cheng-Xuan

“…This paper proposes a hybrid Gated Recurrent Unit (GRU) and Self-Attention based model, named GSAP, for dual medical related NLP tasks. GSAP stacks three…”
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Comparison of Prediction Models for Road Deaths On Road Network by Whasphutthisit, Thaninthorn, Jitsakul, Watchareewan

“…This paper presents to compare prediction models for road deaths on road network by data mining techniques. In this work, the classifier is selected from four…”
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Smart Education Using Machine Learning for Outcome Prediction in Engineering Course by Lawanont, Worawat, Timtong, Anantaya

“…Emerging technologies in the past decades have enabled many possibilities and higher education is no exception. Digital transformation in higher education has…”
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Efficient Image Embedding for Fine-Grained Visual Classification by Payatsuporn, Soranan, Kijsirikul, Boonserm

“…Fine-grained visual classification (FGVC) is a task belonging to multiple sub-categories classification. It is a challenging task due to high intraclass…”
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A Novel Relational Deep Network for Single Object Tracking by Cheewaprakobkit, Pimpa, Shih, Timothy K., Lin, Chih-Yang, Liao, Hung-Chun

“…Virtual object tracking is an active research area in computer vision. It aims to estimate the location of the target object in video frames. For the past few…”
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Continuity of line detection methods based on the Radon transform by Vatiwutipong, Pat

“…The Radon transform is one of the most well-known tools for line detection methods. The drawback of the Radon transform is that it is not continuous. So slight…”
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Measurement of Tongue Motion using Optical Flows on Segmented Areas by Kusakunniran, Worapan, Aukkapinyo, Kittinun, Borwarnginnn, Punyanuch, Imaromkul, Thanandon, Thongkanchorn, Kittikhun, Wattanadhirach, Disathon, Mongkolluksamee, Sophon, Thammasudjarit, Ratchainant, Ritthipravat, Panrasee, Tuakta, Pimchanok, Benjapornlert, Paitoon

“…A trajectory of the tongue has several benefits in various domains such as articulatory and medical. It allows a user to analyze human speech or diagnose…”
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RaaS (Robot-as-a-Service) focusing on the human-robot collaboration in industrial sites by Kim, Hahyeon, Li, Chen

“…In this paper, we present the concept of a robot service that interacts with a human operator through speech. Service-oriented architectures and cloud…”
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