Bibliografie tematiche / Chai Bot

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Letteratura scientifica selezionata sul tema "Chai Bot"

Autore: Grafiati

Pubblicato: 7 giugno 2025

Ultima modifica: 2 agosto 2025

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Articoli di riviste sul tema "Chai Bot"

Raquel, M. Rosero, Cris B. Mangoma Micara, R. Manuel Angel, et al. "Exploring Ai-Bot In An Esl Filipino Flipped Classroom: A Sequential Mixed-Methods Study." Social Science and Human Research Bulletin 02, no. 05 (2025): 153–59. https://doi.org/10.5281/zenodo.15378689.

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Artificial intelligence (AI) is increasingly influencing English as a Second Language (ESL) education for Filipino students. This study investigates the effectiveness of Chai, an AI-powered chatbot, integrated into a flipped classroom model, for enhancing students’ prepositional usage. Employing an exploratory sequential mixed-methods design, 70 freshman students were randomly assigned to experimental (Chai Bot/flipped classroom) and control (traditional instruction) groups. The quantitative results indicated that the experimental group demonstrated significantly higher mean scores in po

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Sethuraman, R., and Dr T. Sasipraba. "Semantic Micro Web Service based Intelligent Chat-Bot Framework." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (2019): 104–10. http://dx.doi.org/10.5373/jardcs/v11i10/20193012.

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Lalwani, Tarun, Shashank Bhalotia, Ashish Pal, Shreya Bisen, and Vasundhara Rathod. "Implementation of a Chat Bot System using AI and NLP." International Journal of Innovative Research in Computer Science & Technology 6, no. 3 (2018): 26–30. http://dx.doi.org/10.21276/ijircst.2018.6.3.2.

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Ibraheem, Mohammed, Khushi Chahar, Rahul Jaiswal, Sharvesh R, Jayachandra T, and Prof Rahul Pawar. "The Impact of the Health Care Chat-bot Initiative on Patient Outcomes and Accessibility." International Journal of Research Publication and Reviews 5, no. 3 (2024): 4266–76. http://dx.doi.org/10.55248/gengpi.5.0324.07102.

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SHILINH, Anna, and Anastasiia PASKO. "DEVELOPMENT OF THE DICTIONARY STRUCTURE FOR THE CHAT-BOT OF EDUCATIONAL SERVICES CATALOG OF THE HIGHER EDUCATION INSTITUTION." Herald of Khmelnytskyi National University. Technical sciences 313, no. 5 (2022): 94–98. http://dx.doi.org/10.31891/2307-5732-2022-313-5-94-98.

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The aim of this article is to develop a dictionary structure for a chatbot of educational services catalog of the higher education institution. The quality of information support for consumers of educational services depends on the timeliness and reliability of the information provided. If the World Wide Web user does not receive information from official sources of the higher education institution (HEI), this may cause a negative impact on the information system of the higher education institution. The motivational intentions of the official web resources users of the higher education institu

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Alghanmi, Marwah, Nada Elaywah, and Amjaad Mujallid. "The Effectiveness of Using Interactive Chat Bots via Telegram in Developing Programming Skills in Python language among Middle School Students." International Journal of Educational Sciences and Arts 3, no. 10 (2024): 130–75. http://dx.doi.org/10.59992/ijesa.2024.v3n10p6.

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The study aimed to identify the effect of using chatbot in Telegram on developing Python programming skills for 7th graders in Jeddah. A quasi-experimental method was used by selecting a sample of (25) students as an experimental group. The study tools were pre and posttest for students’ knowledge of Python programming skills, and a rubric to observe students’ skills when practicing programming by Python. The study revealed that there were statistically significant differences at level (0.05) between the mean scores of experimental group in the pre and post-test. Also, there were statistical

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Caterina, Michael J. "Boosting that tan with a bit of voltage." Channels 7, no. 6 (2013): 417. http://dx.doi.org/10.4161/chan.26682.

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Eppert, Claudia. "Empty Chair, Empty Boat." Philosophy of Education 67 (2011): 37–39. http://dx.doi.org/10.47925/2011.037.

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Einsele, H., M. Steidle, A. Vallbracht, JG Saal, G. Ehninger, and CA Muller. "Early occurrence of human cytomegalovirus infection after bone marrow transplantation as demonstrated by the polymerase chain reaction technique." Blood 77, no. 5 (1991): 1104–10. http://dx.doi.org/10.1182/blood.v77.5.1104.1104.

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Abstract Twenty-eight patients undergoing bone marrow transplantation (BMT) were followed-up at weekly intervals from day -10 to discharge from hospital after BMT for human cytomegalovirus (HCMV) infection using polymerase chain reaction (PCR), slot-blot hybridization, and conventional virus culture. High specificity of the PCR assay applied could be shown by failure to amplify DNA extracted from a wide range of other viruses frequently infecting marrow transplant recipients. The PCR technique allowed us to diagnose viremia and viruria in 20 (83%) of 24 seropositive patients after BMT, whereas

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Twenty-eight patients undergoing bone marrow transplantation (BMT) were followed-up at weekly intervals from day -10 to discharge from hospital after BMT for human cytomegalovirus (HCMV) infection using polymerase chain reaction (PCR), slot-blot hybridization, and conventional virus culture. High specificity of the PCR assay applied could be shown by failure to amplify DNA extracted from a wide range of other viruses frequently infecting marrow transplant recipients. The PCR technique allowed us to diagnose viremia and viruria in 20 (83%) of 24 seropositive patients after BMT, whereas culture

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Tesi sul tema "Chai Bot"

BLOM, ALEXANDER, and SOFIE THORSEN. "A sentiment-based chat bot." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-136134.

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Natural language processing is a field in computer science which involves making computers derive meaning from human language and input as a way of interacting with the real world. Broadly speaking, sentiment analysis is the act of determining the attitude of an author or speaker, with respect to a certain topic or the overall context and is an application of the natural language processing field. This essay discusses the implementation of a Twitter chat bot that uses natural language processing and sentiment analysis to construct a believable reply. This is done in the Python programming lang

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Bonaiuti, Davide. "Progettazione e sviluppo di un'applicazione per la gestione degli appuntamenti tra professionisti e clienti." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11865/.

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Tutti coloro che lavorano su appuntamento hanno una clientela da gestire. Per farlo, possono avvalersi di due opzioni: o utilizzano una buona parte del loro tempo per rispondere direttamente alle chiamate e ai messaggi dei clienti, oppure assumono una persona che si faccia carico personalmente dell’agenda del negozio, piuttosto che dello studio, a seconda dei casi. Gli aspetti negativi di queste due scelte non mancano. Nel primo caso, il diretto interessato può trovarsi interrotto da una chiamata nel pieno di un appuntamento. Il cliente lì presente deve attendere pazientemente che la convers

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Кривопуск, В. В. "Система пошуку фільмів на базі telegram бота". Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/23048.

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Кривопуск, В. В. Система пошуку фільмів на базі telegram бота : випускна кваліфікаційна робота : 123 "Кoмп’ютepнa iнжeнepiя" / В. В. Кривопуск ; керівник роботи А. В. Хижняк ; НУ "Чернігівська політехніка", кафедра iнфopмaцiйниx тa кoмп’ютepниx cиcтeм. – Чернігів, 2021. – 50 с. Актуальність роботи. Зазвичай у студентів та і інших людей виникає бажання переглянути який-небудь фільм, але зазвичай досить велика кількість часу витрачається саме на пошук стрічки до перегляду. Та завдяки боту можна швидко обрати стрічку у будь-якому жанрі. Ще можна зважити на те, що популярність ботів зростає що

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Rinnarv, Jonathan. "GANChat : A Generative Adversarial Network approach for chat bot learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278143.

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Recently a new method for training generative neural networks called Generative Adversarial Networks (GAN) has shown great results in the computer vision domain and shown potential in other generative machine learning tasks as well. GAN training is an adversarial training method where two neural networks compete and attempt to outperform each other, and in the process they both learn. In this thesis the effectiveness of GAN training is tested on conversational agents also called chat bots. To test this, current state-of-the-art training methods such as Maximum Likelihood Estimation (MLE) model

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Руденок, П. А. "Телеграм бот розкладу занять НУ “Чернігівська політехніка” для студентів і викладачів". Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/23008.

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Руденок, П. А. Телеграм бот розкладу занять НУ “Чернігівська політехніка” для студентів і викладачів : дипломна робота : 123 - Комп’ютерна інженерія / П. А. Руденок ; керівник роботи С. С. Стасюк ; НУ "Чернігівська політехніка", кафедра Інформаційних та комп’ютерних систем. - Чернігів, 2021. - 77 с. Актуальність роботи. Зазвичай у студентів виникає багато питань щодо актуальності розкладу, з пошуком певного викладача в певний момент часу. Також використання поточного електронного розкладу не дуже зручне, кожного разу потрібно вибирати свою групу для пошуку розкладу, використання для

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Марцевий, Ю. С. "Сервіс надання інформації про кафедру ІКС на основі месенджера Telegram". Thesis, Чернігів, 2020. http://ir.stu.cn.ua/123456789/23403.

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Марцевий, Ю. С. Сервіс надання інформації про кафедру ІКС на основі месенджера Telegram : випускна кваліфікаційна робота : 123 "Комп’ютерна інженерія" / Ю. С. Марцевий ; керівник роботи В. М. Базилевич ; НУ "Чернігівська політехніка", кафедра інформаційних і комп’ютерних систем. – Чернігів, 2020. – 66 с. Метою кваліфікаційної роботи є розробка бота-помічника для студентів з використанням месенджера Telegram. Розроблена система буде виконувати наступні функції: - Перегляд інформації про кафедру та викладачів. - Перегляд розкладу дзвінків та парний чи непарний тиждень. - Можливість залиши

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Гончар, А. В. "Розробка чат-боту в Telegram пошуку маршрутних транспортних засобів у Чернігові". Thesis, Чернігів, 2021. http://ir.stu.cn.ua/123456789/23016.

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Гончар, А. В. Розробка чат-боту в Telegram пошуку маршрутних транспортних засобів у Чернігові : випускна кваліфікаційна робота : 123 "Кoмп’ютepнa iнжeнepiя" / А. В. Гончар ; керівник роботи Є. В. Нікітенко ; НУ "Чернігівська політехніка", кафедра iнфopмaцiйниx тa кoмп’ютepниx cиcтeм. – Чернігів, 2021. – 59 с. Об’єкт дослідження: телеграм-бот для пошуку маршрутних транспортних засобів у Чернігові. Мета дипломної роботи: спростити рутинне життя людей, яким потрібно знайти інформацію про потрібну зупинку в місті Чернігів та побудувати оптимальний маршрут з використанням громадського транспорту

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Лixутa, О. О. "Тeлeгpaм бoт для пoшуку музики". Thesis, Чернігів, 2020. http://ir.stu.cn.ua/123456789/23399.

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Лixутa, О. О. Тeлeгpaм бoт для пoшуку музики : випускна кваліфікаційна робота : 123 "Комп’ютерна інженерія" / О. О. Лixутa ; керівник роботи А. В. Xижняк ; НУ "Чернігівська політехніка", кафедра інформаційних і комп’ютерних систем. – Чернігів, 2020. – 52 с. Мeтoю квaлiфiкaцiйнoї poбoти є poзpoбкa бoтa для вiльнoгo кopиcтувaння тa йoгo дeплoй; Poзpoблeнa cиcтeмa будe викoнувaти нacтупнi функцiї: - Пoшук музики зa aвтopoм/нaзвoю. - Oтpимaння пpямoгo пocилaння нa знaйдeну кoмпoзицiю. Oтpимувaти iнфopмaцiю дaнa cиcтeмa будe зa дoпoмoгoю бeзкoштoвнoгo API Apple Music. Iнфopмaцiю бoт будe нaд

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Соколовський, Богдан Максимович. "Мова та компілятор для генерування тексту чат-ботів мовою JavaScript". Bachelor's thesis, КПІ ім. Ігоря Сікорського, 2021. https://ela.kpi.ua/handle/123456789/43371.

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Кваліфікаційна робота включає пояснювальну записку (с. 72, рис. 58, табл. 2, додатки). Об’єкт розробки – створення мови та компілятора для генерування тексту чат-ботів мовою JavaScript, яка буде зручна як для людей, які не пов’язані з інформаційними технологіями, так і навпаки. Головна мета мови – спростити та прискорити створення чат-ботів без додаткових знань мов програмування чи архітектурних рішень, які використовуються під час проєктування програмного забезпечення. Мова для генерування чат-ботів має наступні можливості: • генерування чат-ботів для вебсайтів; • генерування чат-боті

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Strutynskiy, Maksym. "A concept of an intent-based contextual chat-bot with capabilities for continual learning." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-99102.

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Chat-bots are computer programs designed to conduct textual or audible conversations with a single user. The job of a chat-bot is to be able to find the best response for any request the user issues. The best response is considered to answer the question and contain relevant information while following grammatical and lexical rules. Modern chat-bots often have trouble accomplishing all these tasks. State-of-the-art approaches, such as deep learning, and large datasets help chat-bots tackle this problem better. While there is a number of different approaches that can be applied for different ki

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Più fonti

Libri sul tema "Chai Bot"

Khanthap, Wisā. Chīwit mi chai khwāmfan: Bot kawī. Samnakphim Chapkræ, 1988.

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Sabri, Makhdoom. Pushto Urdu bol chal. Malik Book Depot, 1992.

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Chʻoe, Chae-bok. Yŏngdonggi: Chʻoe Chae-bok sijip. Chesam Kihoek, 1991.

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Khư̄ankǣo, Thawī, ред. Sūatmon chabap krapao: Sūatmon chan chao rư̄ chan phēn mī khamʻathibāi prakō̜p 21 bot. 2-ге вид. Thawī Khư̄ankǣo, 1991.

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Center, Buddhist Digital Resource. Bon gyi brten ʼgyur chen moʼi dkar chag. Bod ljongs mi dmangs dpe skrun khang, 2011.

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1951-, Sangsit Phiriyarangsan, Pasuk Phongpaichit, Čhulālongkō̜nmahāwitthayālai. Sūn Sưksā Sētthakit Kānmư̄ang., and Friedrich-Ebert-Stiftung (Thailand), eds. Chon chan klāng bon krasǣ prachāthipatai Thai. Sūn Sưksā Sētthasāt Kānmư̄ang, Khana Sētthasāt, Čhulālongkō̜nmahāwitthayālai rūam kap Mūnnithi Frīdrit ʻĒbrǣt, 1993.

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Ōshita, Tomokazu. Ton-chan āto-ten: Hakobi de boo!! Hokkaidōritsu Hakodate Bijutsukan, 2008.

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Dong, Duojie. Bstan ʼgyur dkar chag Bod Rgya shan sbyar. Mtsho-sngon mi rigs dpe skrun khang, 2010.

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Bod Sa-mthoʼi Skye-dṅos Źib-ʼjug Khaṅ, ред. Bod kyi rgyun mthoṅ sman rtsaʼi dkar chag. Bod-ljoṅs mi dmaṅs dpe skrun khaṅ, 2008.

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Hor-dkar-na-mo. Bod-ljongs Nag-chu sa khul gyi Bod yig gnaʼ dpeʼi dkar chag. Mi-rigs Dpe-skrun-khang, 2017.

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Capitoli di libri sul tema "Chai Bot"

Rozga, Szymon. "Chat Bot Analytics." In Practical Bot Development. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3540-9_13.

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Rozga, Szymon. "Introduction to Chat Bots." In Practical Bot Development. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3540-9_1.

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Rozga, Szymon. "Making the Chat Bot Smarter." In Practical Bot Development. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3540-9_10.

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Rozga, Szymon. "Chat Bot Natural Language Understanding." In Practical Bot Development. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3540-9_2.

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Prashanth, Mallellu Sai, P. Vijaya Pal Reddy, and Mudrakola Swapna. "AI Enabled Chat Bot for COVID’19." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27524-1_68.

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Islam, Noman, Darakhshan Syed, Mariz Zafar, and Asif Raza. "Visualizing Chat-Bot Knowledge Graph Using RDF." In Semantic Web Technologies. CRC Press, 2022. http://dx.doi.org/10.1201/9781003309420-15.

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Domjan, Paul, Gavin Serkin, Brandon Thomas, and John Toshack. "The Big Bet Vs. Devil You Know." In Chain Reaction. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51784-7_8.

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Aggarwal, Alankrita, Gaurav Gupta, Siddharth Kumar, and Ankit Kumar. "Health care chat bot system using machine learning." In Artificial Intelligence and Information Technologies. CRC Press, 2024. http://dx.doi.org/10.1201/9781032700502-20.

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Dhore, Vaibhav D., and Neha Mishra. "Supply Chain Management in E-Commerce Using Blockchain." In IC-BCT 2019. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4542-9_6.

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Mundhra, Ria, Ting Jen Lim, Hong Ngan Duong, Kheng Hui Yeo, and Andreea I. Niculescu. "Towards a Humorous Chat-Bot Companion for Senior Citizens." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8395-7_3.

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Atti di convegni sul tema "Chai Bot"

Neelima, Y., M. Sathyam Reddy, K. V. Narasimha Reddy, Sireesha Moturi, and Dodda Venkatareddy. "Deep Learning: College Enquiry chat-bot." In 2025 6th International Conference on Recent Advances in Information Technology (RAIT). IEEE, 2025. https://doi.org/10.1109/rait65068.2025.11089207.

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Amaresh, Janarthanan Sekar, Govind Tiwari, and Pranav Gupta. "PDF to AI Chat Bot using Python LangChain." In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N). IEEE, 2024. https://doi.org/10.1109/icac2n63387.2024.10895485.

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Faizan, Mohammad Faisal, Mohammad Shaquib Khan, and Bharat Bhushan. "A Novel Blockchain based Security paradigm for sustainable supply chain Majestics and Logistics." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10985314.

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Gu, Donghu, and Haiyan Tan. "Deep Reinforcement Learning Based Chat Bot Using Semantic Parsing Method." In 2024 International Conference on Data Science and Network Security (ICDSNS). IEEE, 2024. http://dx.doi.org/10.1109/icdsns62112.2024.10691264.

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Prathiksha, K., S. G. Tamizh Malar, P. Nivedha, D. M. Divya, and S. Srijayanthi. "IntelliAid: A Personal Assistant Chat-Bot for Enhanced Task Management." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10689912.

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Yedla, Harsha Vardhan, Kalyan Sagar Kadali, and Sreenivas Veeranki. "Optimizing Environment Sustainability: AI-Driven Supply Chain Impact with Ensemble & Deep Reinforcement Learning (Aligned with SDG 9, 12, 13, and 17)." In 2024 International BIT Conference (BITCON). IEEE, 2024. https://doi.org/10.1109/bitcon63716.2024.10985474.

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Akuthota, Keerthi Sai, Kishor Kumar Reddy C, Aashritha Reddy Kyatham, Amrutha Sriya Ganjam, Shugufta Fatima, and Sai Vamshi Akuthota. "Educational Intelligent Chat Bot for Von Willebrand Disease Among Senegalese People." In 2024 4th International Conference on Sustainable Expert Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63445.2024.10763201.

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Bogdanova, Olga. "JOURNEY OF DISCOVERY: A CHAT-BOT FOR ENGAGING AND INSIGHTFUL CONVERSATIONS." In 19th International Technology, Education and Development Conference. IATED, 2025. https://doi.org/10.21125/inted.2025.1300.

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Julianto, Agung Mulyo Widodo, Gerry Firmansyah, and Budi Tjahjono. "Large Language Models Using Transformers in Chat Bot Based on Artificial Intelligence." In 2024 4th International Conference on Electronic and Electrical Engineering and Intelligent System (ICE3IS). IEEE, 2024. https://doi.org/10.1109/ice3is62977.2024.10775970.

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Vallabhaneni, Uday, Yatish Wutla, Tribhangin Dichpally, Venkata Rami Reddy Ch, Meghamsh Reddy Gone, and P. Lalitha Kumari. "Mining Mate: A Chat Bot for Navigating Mining Regulations Using LLM Models." In 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, 2024. http://dx.doi.org/10.1109/icaccs60874.2024.10716988.

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Rapporti di organizzazioni sul tema "Chai Bot"

Tkachenko, T. Ya, L. Yu Neupokoeva, A. A. Shestakova, and I. V. Shestakov. Chat-bot "DigitalChiefBot". SIB-Expertise, 2022. http://dx.doi.org/10.12731/er0592.29072022.

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Abstract (sommario):

Цифровой бот помогает найти ответы на распространённые вопросы, возникающие у преподавателей, которые применяют в своей деятельности цифровые образовательные технологии. «Цифровой заведующий кафедрой» (DigitalChiefBot)- предоставляет информацию по всем направлениям электронного обучения и дистанционных образовательных технологий, реализуемых в УГМУ, а именно: работа в системе дистанционного обучения MedSpace; создание, заполнение и экспертиза электронных учебных курсов; полезная информация по развитию цифровых компетенций сотрудников; организация и проведение дистанционных лекций и семинарских

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RADIAN INC ALEXANDRIA VA. Coastal, Harbor and Inland Waterway (CHI) Service Boat Program. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada261752.

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Dudel, Christian. Expanding the Markov chain tool box: distributions of occupation times and waiting times. Max Planck Institute for Demographic Research, 2017. http://dx.doi.org/10.4054/mpidr-wp-2017-017.

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Thurston, Alexander. In Brief: Foreword for the Lake Chad Basin Research Initiative Compendium. RESOLVE Network, 2021. http://dx.doi.org/10.37805/lcb2021.1.

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In fall 2017, the RESOLVE Network launched a major project to analyze religiosity on university campuses in the Lake Chad Basin. The project was related but not limited to the context of the Boko Haram insurgency. The project generated four major studies, including one research report based on a desk literature review and three country case studies (Nigeria, Cameroon, and Chad) based on original fieldwork. The project was driven by policymakers’ and researchers’ desire to more fully understand political and religious change in this conflict-affected region. This RESOLVE research project sought

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Banomyong, Ruth. Supply Chain Dynamics in Asia. Inter-American Development Bank, 2009. http://dx.doi.org/10.18235/0011303.

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Supply chain management in Asia is a relatively novel topic but a key challenge for all Asian based manufacturers and traders when trying to integrate into the "global market". The purpose of the paper is to describe key supply chain issues faced in Asia. These issues are related to supply chain security that forces Asian firms to comply with numerous requirements as well as the importance of a properly managed supply chain in enhancing firms' competitiveness. The critical role played by Asian based logistics providers in facilitating supply chain integration is explored. Logistics providers m

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Campion, Anita, Mark D. Wenner, and Jeremy Coon. Financing Agricultural Value Chains in Central America. Inter-American Development Bank, 2010. http://dx.doi.org/10.18235/0008552.

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Agricultural value chain financing (VCF) is an emerging phenomenon in the region but it is not well studied. Historically, small- and medium-sized famers experience problems accessing formal finance. Participation in a well-structured and dynamic supply chain seems to improve chances of obtaining financing, either directly from larger more liquid agents in the same chain or indirectly from external formal lenders based on the type of relationships and degrees of connectedness in the chain (advance sale contracts, technical assistance agreements, length of transaction history, etc.). Four value

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Bennet, Karen, Gopi Krishnan Rajbahadur, Arthit Suriyawongkul, and Kate Stewart. Implementing AI Bill of Materials (AI BOM) with SPDX 3.0: A Comprehensive Guide to Creating AI and Dataset Bill of Materials. The Linux Foundation, 2024. https://doi.org/10.70828/rned4427.

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A Software Bill of Materials (SBOM) is becoming an increasingly important tool in regulatory and technical spaces to introduce more transparency and security into a project's software supply chain. Artificial intelligence (AI) projects face unique challenges beyond the security of their software, and thus require a more expansive approach to a bill of materials. In this report, we introduce the concept of an AI-BOM, expanding on the SBOM to include the documentation of algorithms, data collection methods, frameworks and libraries, licensing information, and standard compliance.

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Lindquist, Joachim, and Henning de Haas. Creating Supply Chain Resilience Through Scenario Planning: How a Digital Twin Can Be Used To Enhance Supply Chain Resilience Through Scenario Planning. Aarhus University Library, 2021. http://dx.doi.org/10.7146/aul.435.

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This book focusses on the concept of supply chain disruptions and how supply chain resilience can contribute to both preparing for and reacting to the event causing disruption. For building a digital twin of a supply chain, a software named Supply Chain Guru has been used. The software is a supply chain design tool which can be used for different kinds of supply chain network optimisation. The book outlines four scenarios: Covid-19 lockdown, Brexit without deal, Conflagration at a dairy and Political regulations on transport. The scenarios all contain a problem that needs to be solved. This pr

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Brown-Grossman, Flor, and Lilia Domínguez-Villalobos. Can Mexico Set Up in the Aerospace and the Software and IT Global Value Chains as a High-Value-Added Player? Inter-American Development Bank, 2012. http://dx.doi.org/10.18235/0011457.

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This study is an effort to identify the process by which firms venture into GVCs and the obstacles faced by firms once they have been immersed in it. We have focused on two particular GVCs: the aerospace GVC and the software and IT services GVC. Through the case studies, we analyzed the nature of inter-firm linkages and how they affected the potential of scaling up by local suppliers in the value-added chain, the particular role of firms in the value chain in Mexico and the achievements and limitations of governmental policies as tools to facilitate the entrance of MNCs' subsidiaries and to cr

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Canto, Patricia. Firm Productivity, Organizational Choice and Global Value Chain. Universidad de Deusto, 2011. http://dx.doi.org/10.18543/lcsv5237.

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Based upon insights of the global value chain literature, the aim of this paper is to investigate the impact of being a supplier firm on labour productivity. The country of analysis is Italy, historically characterized by a very strong division of labour among firms. We make use of a unique database, which collects information on several organizational, structural and performance variables of a representative sample of more than 3000 Italian manufacturing firms, spanning the period 1998-2006. Our econometric investigation confirms predictions coming from the global value chain literature. By a

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