淡江大學人工智慧學系

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自我介紹學歷:
交通大學工業工程與管理博士

教師

類別專任教師

職稱助理教授

OfficeHour

研究專長1.機器學習
2.深度學習(影像與圖片辨識)
3.文字探勘

年度	論文名稱
2024	Guanting Li; Tzu-Chia Chen, Multi-objective mathematical model for optimal wind turbine placement in wind farm under uncertainty, , Journal of Engineering Research, Available online 28 September 2024, , pp
2024	Yizhang Li; Tzu-Chia Chen;Amruth Ramesh Thelkar, Exploring the Synergistic Effects of Physical Education and Neural Networks on Workers Cognition: An Intelligent Water Drop Optimization Framework, , International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 32(7), p.1075 - p.1091, , pp
2024	Tzu-Chia Chen, Role of Corporate Social Responsibility in the Financial Sustainability of Sports Organizations, , journal of sports ＆ social issues, , pp
2024	Tzu-Chia Chen, Double Exponential Smoothing Slime Mould AlgorithmFor Disease Detection In Iot Healthcare System, , EUROPEAN PHYSICAL JOURNAL PLUS, , pp
2023	Tzu-Chia Chen; Hani Almimi; Mohammad Sh. Daoud; John William Grimaldo Guerrero; Rafał Chorzępa, Selection of effective combination of time and frequency features using PSO-based technique for monitoring oil pipelines, , Alexandria Engineering Journal 82, p.518-530, , pp
2022	Tzu-Chia Chen, Expectation-maximization machine learning model for micromechanical evaluation of thermally-cycled solder joints in a semiconductor, , Journal of Physics-Condensed Matter 35, 305901, , pp
2022	Tzu-Chia Chen, Microstructural characterization of Ti/Cu/Ti diffusion bonded system through a micromechanical data-driven neural network approach, , Materials Today Communications 35, 105858, , pp
2022	Tzu-Chia Chen; Abdullah M. Iliyasu; Seyed Mehdi Alizadeh; Ahmed S. Salama; Ehsan Eftekhari-Zadeh; Kaoru Hirota, The use of artificial intelligence and time characteristics in the optimization of the structure of the volumetric percentage detection system independent of the scale value inside the pipe, , Applied Artificial Intelligence 37(1), 2166225, , pp
2022	Chen, Tzu-Chia; Dwijendra N.K.A.; Singhal, Saurabh; Sivaraman R.; Mamdouh, Amr, Intelligent System Application to Monitor the Smart City Building Lighting, , Computers, Materials and Continua 75(2), p.3159-3169, , pp
2022	Tzu-Chia Chen; Ngakan Ketut Acwin Dwijendra; I. Wayan Parwata; Agata Iwan Candra; Elsayed M. Tag El Din, Multi-Objective Optimization of External Louvers in Buildings, , Computers, Materials & Continua 75(1), p.1305-1316, , pp

年度	書名
2024	Tzu-Chia Chen, Text Mining Techniques and Natural Language Processing, Text mining is an important branch of data mining that is used to analyze the text data. Text data is any type of data like structured data, unstructured data, and semi-structured data. All types of data are collected from different sources such as multimedia applications, mobile apps, digital systems, etc. These data are beneficial to get a good insight, meaningful results. We use data mining techniques like Support Vector Machine (SVM), Random Forest (RF), Multilayer Perception (MLP), Naive Bayes (NB), etc. to analyze the hidden relationship between data. We use three kinds of data types in text mining., John Wiley & Sons
2023	Chen, Tzu-chia, Conversational Artificial Intelligence-Ch20, An intrusion detection system, often known as IDS, is primarily used to gather and analyze data regarding security events that occur in computer systems and networks. Its subsequent purpose is to either prevent these events from happening or notify them to the administrator of the system. As a result of the increasing number of attacks carried out by attackers, the users’ level of mistrust on the Internet has increased. Attacks that cause denial of service are a major violation of security. This article presents a particle swarm optimization and AdaBoost-based intrusion detection system. In this system, chatbot receives network traffic as input, and features of input dataset are selected using particle swarm optimization algorithm. A classification model is trained and tested. AdaBoost, KNN, and naïve Bayes algorithm are used to classify and detect malware-related records. NSL KDD dataset is used in the experimental work. PSO-AdaBoost achieves the highest accuracy, precision, and recall for intrusion detection and classification. The output of a chatbot is a language that is either normal or benign., John Wiley & Sons, Inc.
2023	Chen, Tzu-chia, Conversational Artificial Intelligence-Ch29, In this day and age of smartphones and computers, the prevalence of mobile applications has skyrocketed. They have numerous applications, including but not limited to communication, social media, news, messaging, shopping, making payments, watching videos and transmissions, and engaging in online gaming. When it comes to mobile devices, Android is presently the operating system with the most users worldwide. The Android platform has emerged as the most popular mobile operating system, with an increasing number of applications developed especially for Android mobile devices. Simultaneously, there has been a rise in the number of incidents. Attackers exploit vulnerable areas in mobile apps to introduce potentially malicious code into the system and steal confidential data. When creating an app for a mobile device, it is critical to prioritize the security and protection of users’ data. Only by thoroughly understanding the various vulnerabilities that could be introduced into their code can mobile app developers successfully fight potential security threats. This manuscript provides an in-depth study of vulnerability assessment and penetration testing in mobile applications. This manuscript also presents a mitigation plan for encountering vulnerabilities in mobile applications. A security framework is also proposed to enhance the security of mobile applications., John Wiley & Sons, Inc.
2023	Chen, Tzu-chia, Optimized Support Vector Machine for Early and Accurate Heart Disease Detection, Many academics use data mining to predict diseases. Some approaches can predict one sickness, while others can predict several. Sickness prediction may be improved. This article provides an overview of the numerous data categorization methods available today. Algorithms represent most commonly. Classifying data involves a lot of computation. To create a disease-fighting plan that works, enormous amounts of data must be analysed. Early diagnosis, severity assessment, and prognosis are frequent. Doing so may postpone disease development, improve quality of life, and lower medical costs. This approach uses machine learning. This article classifies and predicts cardiovascular disease data using machine learning. SVM, ANN, and RF classify heart disease data. Accuracy-wise, SVM is better for heart disease classification and detection., CRC Press
2023	Chen, Tzu-chia, Towards Applicability of Machine Learning in Business Analytics for Sales Prediction, In the field of data processing and analytics, machine learning has emerged as a topic of significant interest in the recent years. When it comes to decision-making, less structured retailers rely on their gut feeling, whereas more structured retailers make use of business intelligence. Predicting future retail sales is a common practise in the industry of organised retail, where it is tremendously helpful for making timely and strategic decisions in the face of intense competition. Predictions about future sales are often arrived at by doing an analysis of previous data, making use of a variety of statistical and mathematical methodologies, etc. This study is an endeavour to communicate with retail business owners, managers, and policymakers the accuracy of data derived from retail sales forecasting using machine learning algorithms. In this study, we apply the machine learning techniques known as Artificial Neural Network and Random Forest to a dataset that is often used for training purposes., CRC Press

發表日期	專利名稱	專利編號	專利國別	專利人
2024-10	MACHINE LEARNING BASED PERSONALIZED LEARNING DEVICE		en	Tzu-Chia Chen
2024-04	MACHINE LEARNING BASED HEALTH MONITORING WEARABLE DEVICE		en	Tzu-Chia Chen
2023-03	INTERNET OF THINGS ENABLED RESPIRATORY SENSING DEVICE		zh_TW	Tzu-Chia Chen

年度	活動名稱	主題/發表題目	活動單位	活動期間
113	113學年度新聘教師教學工作坊	113學年度新聘教師教學工作坊（2024-09-03 09:00:00 ~ 16:00:00）	教師教學發展中心	2024-09-03 ~ 2024-09-03
113	Llama 3.1 本地端大型語言模型試用計畫說明會	Llama 3.1 本地端大型語言模型試用計畫說明會（2024-09-27 12:00:00 ~ 13:00:00）	遠距教學發展中心	2024-09-27 ~ 2024-09-27
113	【線上研習】113(1)「生成式AI賦能教學(一)」	【線上研習】113(1)「生成式AI賦能教學(一)」（2024-09-19 12:00:00 ~ 15:00:00）	遠距教學發展中心	2024-09-19 ~ 2024-09-19
113	【線上研習】113(1)「生成式AI賦能教學(二)」	【線上研習】113(1)「生成式AI賦能教學(二)」（2024-10-03 12:00:00 ~ 15:00:00）	遠距教學發展中心	2024-10-03 ~ 2024-10-03
113	大學STEM跨領域專業能力現況暨學習經驗之設計(國立臺灣師範大學科技應用與人力資源發展學系林坤誼特聘教授兼系主任)	大學STEM跨領域專業能力現況暨學習經驗之設計(國立臺灣師範大學科技應用與人力資源發展學系林坤誼特聘教授兼系主任)（2024-10-18 12:00:00 ~ 13:00:00）	教師教學發展中心	2024-10-18 ~ 2024-10-18
113	學教設計：永續行動中的教學實踐研究（企業管理學系涂敏芬教授）	學教設計：永續行動中的教學實踐研究（企業管理學系涂敏芬教授）（2024-11-06 12:00:00 ~ 13:30:00）	教師教學發展中心	2024-11-06 ~ 2024-11-06
113	2024 研究發展處國科會專題研究計畫撰寫攻略工作坊	2024 研究發展處國科會專題研究計畫撰寫攻略工作坊（2024-11-07 12:00:00 ~ 14:00:00）	研究發展處	2024-11-07 ~ 2024-11-07
113	全英語授課教師社群-Enhancing DEI: Creating Inclusive EMI Classrooms	全英語授課教師社群-Enhancing DEI: Creating Inclusive EMI Classrooms（2024-11-15 12:10:00 ~ 14:00:00）	人工智慧學系	2024-11-15 ~ 2024-11-15
113	【全校英語授課教師社群活動】From ABC to Michelangelo_EMI教學的挑戰與經驗分享	【全校英語授課教師社群活動】From ABC to Michelangelo_EMI教學的挑戰與經驗分享（2024-11-22 12:10:00 ~ 14:00:00）	水資源及環境工程學系	2024-11-22 ~ 2024-11-22
113	113提升導師輔導知能研習	113提升導師輔導知能研習（2024-12-05 12:00:00 ~ 14:00:00）	生活輔導組	2024-12-05 ~ 2024-12-05
113	人工智慧跨域工作坊(一) (限AI系)	人工智慧跨域工作坊(一) (限AI系)（2024-12-23 12:00:00 ~ 13:00:00）	人工智慧學系	2024-12-23 ~ 2024-12-23
113	人工智慧跨域工作坊(二) (限AI系)	人工智慧跨域工作坊(二) (限AI系)（2024-12-24 12:00:00 ~ 13:00:00）	人工智慧學系	2024-12-24 ~ 2024-12-24
112	112學年度第2學期「iClass 學習平台導入與 MS Teams 操作工作坊」	112學年度第2學期「iClass 學習平台導入與 MS Teams 操作工作坊」（2024-02-23 13:10:00 ~ 15:00:00）	教學支援組	2024-02-23 ~ 2024-02-23
112	教學特優教師「會計學進階」課程觀課交流 (會計系張瑀珊教授)	教學特優教師「會計學進階」課程觀課交流 (會計系張瑀珊教授)（2024-03-13 10:00:00 ~ 12:00:00）	教師教學發展中心	2024-03-13 ~ 2024-03-13
112	教學特優教師「山野活動與環境探索」課程觀課交流(學動組黃谷臣教授)	教學特優教師「山野活動與環境探索」課程觀課交流(學動組黃谷臣教授)（2024-03-13 09:00:00 ~ 10:00:00）	教師教學發展中心	2024-03-13 ~ 2024-03-13
112	iClass 學習平台「教學應用與常見問題」_第二梯	iClass 學習平台「教學應用與常見問題」_第二梯（2024-03-22 13:10:00 ~ 15:00:00）	教學支援組	2024-03-22 ~ 2024-03-22
112	桃樂絲初心：設計思考部署永續教育課程(企管系涂敏芬老師)	桃樂絲初心：設計思考部署永續教育課程(企管系涂敏芬老師)（2024-04-29 12:00:00 ~ 13:00:00）	教師教學發展中心	2024-04-29 ~ 2024-04-29
112	2024智慧大未來GO! 數位學習深耕講座(1) - 專屬您的研究、教學與行政AI助手	2024智慧大未來GO! 數位學習深耕講座(1) - 專屬您的研究、教學與行政AI助手（2024-04-30 11:30:00 ~ 14:00:00）	遠距教學發展中心	2024-04-30 ~ 2024-04-30
112	112學年度第2學期文學院「全英語授課教師社群」教學分享	112學年度第2學期文學院「全英語授課教師社群」教學分享（2024-05-08 12:00:00 ~ 13:00:00）	中國文學學系	2024-05-08 ~ 2024-05-08
112	專題素養：策展與未來的做中學(教設系邱俊達老師)	專題素養：策展與未來的做中學(教設系邱俊達老師)（2024-05-14 12:00:00 ~ 13:00:00）	教師教學發展中心	2024-05-14 ~ 2024-05-14
112	iClass 學習平台「學期成績上傳」_第二梯	iClass 學習平台「學期成績上傳」_第二梯（2024-05-30 12:10:00 ~ 13:00:00）	教學支援組	2024-05-30 ~ 2024-05-30
112	人工智慧工作坊(二) (限AI系)	人工智慧工作坊(二) (限AI系)（2024-06-04 13:00:00 ~ 14:00:00）	人工智慧學系	2024-06-04 ~ 2024-06-04
112	人工智慧工作坊(一) (限AI系)	人工智慧工作坊(一) (限AI系)（2024-06-03 13:00:00 ~ 14:00:00）	人工智慧學系	2024-06-03 ~ 2024-06-03
112	2024智慧生活科技與管理研討會	2024智慧生活科技與管理研討會	2024智慧生活科技與管理研討會	2024-06-14 ~ 2024-06-14
112	2024智慧大未來GO! 數位學習深耕講座：全球磨課師經營策略與AI在教育中的安全應用	2024智慧大未來GO! 數位學習深耕講座：全球磨課師經營策略與AI在教育中的安全應用（2024-06-19 12:00:00 ~ 14:00:00）	遠距教學發展中心	2024-06-19 ~ 2024-06-19
112	113學年度大一導師輔導知能及大學學習課程研習	113學年度大一導師輔導知能及大學學習課程研習（2024-06-24 13:00:00 ~ 15:30:00）	生活輔導組	2024-06-24 ~ 2024-06-24
112	112 學年度第 2 學期「資安及個資保護」教育訓練	112 學年度第 2 學期「資安及個資保護」教育訓練（2024-06-04 08:30:00 ~ 11:30:00）	教學支援組	2024-06-04 ~ 2024-06-04
112	112學年度第2學期實驗室、實習場所安全衛生教育訓練-機械系	112學年度第2學期實驗室、實習場所安全衛生教育訓練-機械系（2024-02-22 12:00:00 ~ 15:00:00）	環境保護及安全衛生中心	2024-02-22 ~ 2024-02-22

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