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Item Metadata only Using intelligent agent to learn usenet news reader's behavior in selecting articles on the internet(Mahidol University. Mahidol University Library and Knowledge Center, 2024) Songsri Tangsripairoj; Jarernsri L. Mitrpanont; Damras WongsawangAgent (UNIA) is proposed as a new efficient tool to help the Usenet News readers in selecting interesting articles to read. The idea behind this thesis was influenced by two main approaches: Intelligent Agent with Machine Learning technique...ปัญหาข้างต้น งานวิจัยนี้จึงได้นำเสนอและพัฒนา เครื่องมือที่มีชื่อว่า Usenet News Intelligent Agent (UNIA) เพื่อช่วยผู้ใช้บริการ Usenet News ในการเลือก อ่านบทความที่ตรงกับความสนใจ โดยใช้เทคนิคสำคัญ 2 เทคนิค คือ โปรแกรมที่เรียนรู้ความสนใจของผู้ใช้เพื่อItem Metadata only Designing Rajabhat Institutes Imformation Systems (RIIS) using an agent-based approach(Mahidol University. Mahidol University Library and Knowledge Center, 2001) Paijit Suksomboon; Jarernsri L. Mitrpanont; Sukanya PhongsuphapItem Metadata only An ontology-driven interoperability approach for fine-grained multiperspective requirements traceability(Mahidol University. Mahidol University Library and Knowledge Center, 2023) Namfon Assawamekin; Thanwadee SunetnantaPublication Metadata only Designing intelligent Web-based e-learning based on Web 2.0 and agents-based model(2010-12-01) Jarernsri L. Mitrpanont; Somchart Fugkeaw; Teerapat Pachimkul; Wudhichart Sawangphol; Mahidol UniversityIn this paper, we propose the E-Learning Web-based Design Model based on Web Service and Web 2.0 model, extending Moodle open software to construct additional supporting features of e-Learning system. The basic features of Moodle are adopted... are integrated to provide a more accessible and fine-grained design of E-Learning system. To handle the multiple users using several services, we apply agents system to serve the tasks of each service cooperatively. In addition, we accommodate user feedbackPublication Metadata only An Image-Based Vocabulary Learning System Based on Multi-Agent System(2019-07-01) Preecha Tangworakitthaworn; Preeyapol Owatsuwan; Nutsima Nongyai; Nongnapas Arayapong; Mahidol Universityby formulating the compound words generated from images. The proposed system is based on the multi-Agent system (MAS) covering three main agents: matching learners agent, combination vocabulary agent, and feedback agent. The innovation of the proposed approach... is that many learners (matching learners agent) can formulate the new vocabulary that is formed from the combination algorithm (combination vocabulary agent) and learners can experience new vocabulary represented by using the image results (feedback agentPublication Metadata only Multiperspective analysis of the sisyphus-I room allocation task modelled in a CG Meta-Representation language(1999-01-01) Thanwadee Thanitsukkam; Anthony Finkelstein; Mahidol University; UCL’ to make such information more manageable. The ViewPoints framework [1] offers a way of dealing with the partitioning and the organization of perspectives entailed in system development. ViewPoints represent “agents” having “roles-in” and “views-of” a... an illustrative case study of our ongoing work on CG application to the area of software engineering [2]. Although the Sisyphus-I room allocation task is not a natural fit with the ViewPoints framework which aims at different tasks, we have made an attemptPublication Metadata only Large-scale QSAR study of aromatase inhibitors using SMILES-based descriptors(2014-11-15) Apilak Worachartcheewan; Prasit Mandi; Virapong Prachayasittikul; Alla P. Toropova; Andrey A. Toropov; Chanin Nantasenamat; Mahidol University; Istituto di Ricerche Farmacologiche Mario NegriAromatase inhibitors (AIs) represent a promising therapeutic class of anticancer agents against estrogen receptor-positive breast cancer. Bioactivity data on pIC50of 973 AIs were employed in the construction of quantitative structure-activity... relationship (QSAR) models using COR relation And Logic (CORAL) software (http://www.insilico.eu/coral) in which molecular structures are represented by the simplified molecular input line entry system (SMILES) notation. Symbols inherently present in SMILESItem Open Access Annual Report 2012 กองบริหารงานวิจัย มหาวิทยาลัยมหิดล(2013) มหาวิทยาลัยมหิดล. สำนักงานอธิการบดี. กองบริหารงานวิจัยPublication Open Access The exploration of financial impacts among three stakeholders during the 2016 Foot-and-Mouth Disease Outbreak in a Dairy Cooperative, Chiang Mai province, Thailand(2019) Wilasinee Jongthanachote; Manthita Poontrakulkeat; Kwankla Mungthisarn; Anuwat Wiratsudakul; Sineenard Jiemtaweeboon; วิลาสินี จงธนโชติ; มัณฑิตา พูนตระกูลเกียรติ; ขวัญกล้า มังธิสาร; อนุวัตน์ วิรัชสุดากุล; สินีนาถ เจียมทวีบุญ; Mahidol University. Faculty of Veterinary Science; Mahidol University. Faculty of Veterinary Science. Department of Clinical Sciences and Public HealthFoot-and-mouth disease (FMD) leads to a huge impact to dairy farmers as milk selling is not allowed during the outbreak. This study thus aimed to estimate the economic impact of FMD outbreaks in a dairy cooperative located in Chiang Mai province, Thailand. We explored economic losses in three different categories including farmers, dairy cooperative and governmental authority. A multiple linear regression model was employed to identify the key factors that contribute to the financial impacts. Our results reveal that farmer losses were resulted from milk selling prohibition, treatment service and their supplies. The loss per cow was approximated at 33.9 USD resulting in the total loss of 31,120.25 USD. During the outbreaks, the cooperative spent some expenses on farmer compensation, overtime wages, laboratory testing, together with the loss due to raw milk reduction and decline on selling goods. The impact on this sector was around 3,725.44 USD. At the provincial DLD office, veterinary authority needed to set up animal checkpoints during the outbreak and carried out laboratory testing for suspected samples. The cost of these control measures was 2,466.58 USD. In total, the financial impact of the 2016 FMD outbreak in this certain cooperative was estimated at 37,312.27 USD. According to our model, the key parameters that can predict the economic impact were milk income, fuel cost and feed cost (R2 = 0.88). We anticipate that our model may help to raise awareness on these economic impacts and manage the identified factors during the course of the outbreaks.
