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171,820 results

5. Anomaly Detection Algorithm with Blockchain to Detect Potential Security Attacks in the IIoT Model of Industry 5.0

Author

Pant, Piyush, Goyal, S. B., Rajawat, Anand Singh, Potgantwar, Amol, Bedi, Pradeep, Djeddi, Chawki, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ortis, Alessandro, editor, Hameed, Alaa Ali, editor, and Jamil, Akhtar, editor

Published
2024
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6. Machine Learning Based Stroke Segmentation and Classification from CT-Scan: A Survey

Author

Taye Zewde, Elbetel, Melese Motuma, Mersibon, Megersa Ayano, Yehualashet, Girma Debelee, Taye, Wolde Feyisa, Degaga, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Debelee, Taye Girma, editor, Ibenthal, Achim, editor, Schwenker, Friedhelm, editor, and Megersa Ayano, Yehualashet, editor

Published
2024
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7. Stock Market Prediction with Artificial Intelligence Techniques in Recession Times

Author

Valle-Cruz, David, Fernandez-Cortez, Vanessa, López-Chau, Asdrúbal, Rojas-Hernández, Rafael, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Jabbar, M. A., editor, Tiwari, Sanju, editor, Ortiz-Rodríguez, Fernando, editor, Groppe, Sven, editor, and Bano Rehman, Tasneem, editor

Published
2024
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8. Towards Responsible Digital Twins

Author

Milosevic, Zoran, van Schalkwyk, Pieter, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Sales, Tiago Prince, editor, de Kinderen, Sybren, editor, Proper, Henderik A., editor, Pufahl, Luise, editor, Karastoyanova, Dimka, editor, and van Sinderen, Marten, editor

Published
2024
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9. A Study on Optimizing the Personalization of Recommendations and Customer Services Using Artificially Intelligent Neural Networks to Improve Electronic Commerce

Author

Arora, Anudeep, Kaur, Ranjeeta, Vats, Prashant, Gupta, Mamta, Chopra, Gayatri, Mehmi, Shikha, Khanna, Trishali, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh, editor, and Joshi, Amit, editor

Published
2024
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12. An Intelligent Decision Support System for the Surgical Preoperative Phase: An Approach Based on Machine Learning

Author

Bouden, Cheima, Mezioud, Chaker, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh, editor, and Joshi, Amit, editor

Published
2024
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13. Machine-Learning Holistic Review in Tourism and Hospitality

Author

Ashqar, Rashed Isam, Ramos, Célia M. Q., Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, M. A. Musleh Al-Sartawi, Abdalmuttaleb, editor, Helmy Abd Wahab, Mohd, editor, and Hussainey, Khaled, editor

Published
2024
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14. Secure Future Healthcare Applications Through Federated Learning Approaches

Author

Tabassum, Maliha, Kuzlu, Murat, Catak, Ferhat Ozgur, Sarp, Salih, Şahinbaş, Kevser, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ortis, Alessandro, editor, Hameed, Alaa Ali, editor, and Jamil, Akhtar, editor

Published
2024
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17. Machine Learning Assessment of Battery State-of-Health

Author

Rizanov, Stefan, Stoynova, Anna, Kafadarova, Nadezhda, Sotirov, Sotir, Bonev, Borislav, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Nagar, Atulya K., editor, Jat, Dharm Singh, editor, Mishra, Durgesh Kumar, editor, and Joshi, Amit, editor

Published
2024
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18. IDTCKS: An Intelligent Integrative Approach for Disaster Tweet Classification and Disaster-Related Document Classification Using Knowledge-Driven Hybrid Semantics

Author

Nama, Vihaan, Deepak, Gerard, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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19. Towards Improving Multivariate Time-Series Forecasting Using Weighted Linear Stacking

Author

Aiwansedo, Konstandinos, Bosche, Jérôme, Badreddine, Wafa, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Rocha, Ana Paula, editor, Steels, Luc, editor, and van den Herik, Jaap, editor

Published
2024
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21. Hybrid Deep Learning Framework for Glaucoma Detection Using Fundus Images

Author

Dcunha, Royce, Rodrigues, Aaron, Rodrigues, Cassandra, Sonawane, Kavita, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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23. Video Summarization on E-Sport

Author

Vasudevan, Vani, Darshan, M. R., Kumar, J. V. S. S. Pavan, Gaonkar, Saiel K., Reddy, Tallaka Ekeswar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Aurelia, Sagaya, editor, J., Chandra, editor, Immanuel, Ashok, editor, Mani, Joseph, editor, and Padmanabha, Vijaya, editor

Published
2024
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24. On the Use of VGs for Feature Selection in Supervised Machine Learning - A Use Case to Detect Distributed DoS Attacks

Author

Lopes, João, Partida, Alberto, Pinto, Pedro, Pinto, António, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pereira, Ana I., editor, Mendes, Armando, editor, Fernandes, Florbela P., editor, Pacheco, Maria F., editor, Coelho, João P., editor, and Lima, José, editor

Published
2024
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25. Comparitive Analysis of Various Transfer Learning Apporaches in Deep CNNs for Image Classification

Author

Tyagi, Arnav, Khandelwal, Rishabh, Shelke, Nitin Arvind, Singh, Jagendra, Rajpal, Dev, Gaware, Ishaan Rajendra, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Santosh, KC, editor, Makkar, Aaisha, editor, Conway, Myra, editor, Singh, Ashutosh K., editor, Vacavant, Antoine, editor, Abou el Kalam, Anas, editor, Bouguelia, Mohamed-Rafik, editor, and Hegadi, Ravindra, editor

Published
2024
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26. A Review of Job Postings in India Concerning Artificial Intelligence and Machine Learning Skills

Author

Lamkuche, Hemraj Shobharam, Masih, Jolly, Bhagwat, Abhijit, Morya, Shakti, Onker, Vandana, Singh, Krishna Kumar, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, M. A. Musleh Al-Sartawi, Abdalmuttaleb, editor, Helmy Abd Wahab, Mohd, editor, and Hussainey, Khaled, editor

Published
2024
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27. Research and Innovation of Artificial Intelligence Curriculum System—Under the Background of 'Double First-Class' Construction

Author

Wei, Dongmei, Meng, Dan, Wang, Ping, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Gan, Jianhou, editor, Pan, Yi, editor, Zhou, Juxiang, editor, Liu, Dong, editor, Song, Xianhua, editor, and Lu, Zeguang, editor

Published
2024
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28. IoT Enabled Framework for Smart Home Automation Using Artificial Intelligence and Blockchain Technology

Author

Mazid, Abdul, Kirmani, Sheeraz, Manaullah, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Challa, Rama Krishna, editor, Aujla, Gagangeet Singh, editor, Mathew, Lini, editor, Kumar, Amod, editor, Kalra, Mala, editor, Shimi, S. L., editor, Saini, Garima, editor, and Sharma, Kanika, editor

Published
2024
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29. A BERT Classifier Approach for Evaluation of Fake News Dissemination

Author

Rana, Tushar, Saraswat, Darshan, Gaind, Akul, Singla, Rhythem, Chhabra, Amit, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Challa, Rama Krishna, editor, Aujla, Gagangeet Singh, editor, Mathew, Lini, editor, Kumar, Amod, editor, Kalra, Mala, editor, Shimi, S. L., editor, Saini, Garima, editor, and Sharma, Kanika, editor

Published
2024
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30. Towards a Predictive Model that Supports the Achievement of More Assertive Commercial KPIs Case: Wood Trading Company

Author

Tavera Rodríguez, Jhon Walter, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tabares, Marta, editor, Vallejo, Paola, editor, Suarez, Biviana, editor, Suarez, Marco, editor, Ruiz, Oscar, editor, and Aguilar, Jose, editor

Published
2024
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31. Research Paper Screening Tool: Automating Conference Paper Evaluation and Enhancement.

Author

Rathnasiri, Hansani Upeksha, Ishara Lakshani, L. A., Amarasinghe, Nipuni Nilakna, Dissanayake, Oshan Asinda, Nawinna, Dasuni, and Attanayaka, Buddima

Subjects
TECHNOLOGICAL innovations, ARTIFICIAL neural networks, MACHINE learning, ARTIFICIAL intelligence, NATURAL language processing
Abstract

In this era of knowledge, academic researchers are growing every day, this also spikes a growth in published literature on the new innovations and findings. This leads to a problem where the reviewers at the conferences must go through many research papers to determine whether they are suitable for the conference or not. This problem has caused the necessity of an effective paper screening tool for optimizing the literature review process. This research presents a development of a new Paper Screening Tool (PST) aimed at increasing the efficiency and accuracy of the literature screening phase. Leveraging the NPL processing techniques this PST and reduces a lot of manual efforts. Through comprehensive evaluation using a diverse dataset, the tools provide high precision. The PST also has user friendly interfaces and customizable report generation which empowers the researchers screening process to their specific needs. This paper contributes to literature by solving the challenge of information overloading during the literature review. [ABSTRACT FROM AUTHOR]

Published
2023
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32. The 100 most influential papers in medical artificial intelligence; a bibliometric analysis

Author

Fatima Zahoor, Muhammad Abdullah, Muhammad Waleed Tahir, and Asif Islam

Subjects
Artificial intelligence, Machine learning, Computer reasoning, Machine intelligence, Medicine
Abstract

Objective: To assess the current trends in the field of artificial intelligence in medicine by analysing 100 most cited original articles relevant to the field. Methods: The systematic review was conducted in September 2022, and comprised literature search on Scopus database for original articles only. Google and Medical Subject Headings databases were used as resources to extract key words. In order to cover a broad range of articles, original studies comprising human as well as non-human subjects, studies without abstract and studies in languages other than English were part of the inclusion criteria. There was no specific time period applied to the search and no specific selection was done regarding the journals in the database. The screening was done using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to extract the top 100 most cited articles in the field of artificial intelligence usage in medicine. Data was analysed using SPSS 23. Results: Of the 11,571 studies identified, 100(0.86%) were analysed in detail. The studies were published between 1986 and 2021, with a median of 43 citations (IQR 53) per article. The journal ‘Artificial Intelligence in Medicine’ accounted for the highest number 9(9%)) of articles, and the United States was the country of origin for most of the articles 36(36%). Conclusion: The trends, development and shortcomings in field of artificial intelligence usage in medicine need to be understood to conduct an effective research in areas that still need attention, and to guide the authorities to direct their funding accordingly.

Published
2024
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33. Artificial intelligence in veterinary diagnostic imaging: A literature review.

Author

Hennessey E, DiFazio M, Hennessey R, and Cassel N

Subjects
Animals, Humans, Radiologists, Diagnostic Imaging, Artificial Intelligence, Machine Learning
Abstract

Artificial intelligence in veterinary medicine is an emerging field. Machine learning, a subfield of artificial intelligence, allows computer programs to analyze large imaging datasets and learn to perform tasks relevant to veterinary diagnostic imaging. This review summarizes the small, yet growing body of artificial intelligence literature in veterinary imaging, provides necessary background to understand these papers, and provides author commentary on the state of the field. To date, less than 40 peer-reviewed publications have utilized machine learning to perform imaging-associated tasks across multiple anatomic regions in veterinary clinical and biomedical research. Major challenges in this field include collection and cleaning of sufficient image data, selection of high-quality ground truth labels, formation of relationships between veterinary and machine learning professionals, and closure of the gap between academic uses of artificial intelligence and currently available commercial products. Further development of artificial intelligence has the potential to help meet the growing need for radiological services through applications in workflow, quality control, and image interpretation for both general practitioners and radiologists., (© 2022 American College of Veterinary Radiology.)

Published
2022
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34. Detection of fake papers in the era of artificial intelligence.

Author

Dadkhah, Mehdi, Oermann, Marilyn H., Hegedüs, Mihály, Raman, Raghu, and Dávid, Lóránt Dénes

Subjects
*ARTIFICIAL intelligence, *MACHINE learning, *DECISION trees, *PAPER mills
Abstract

Paper mills, companies that write scientific papers and gain acceptance for them, then sell authorships of these papers, present a key challenge in medicine and other healthcare fields. This challenge is becoming more acute with artificial intelligence (AI), where AI writes the manuscripts and then the paper mills sell the authorships of these papers. The aim of the current research is to provide a method for detecting fake papers. The method reported in this article uses a machine learning approach to create decision trees to identify fake papers. The data were collected from Web of Science and multiple journals in various fields. The article presents a method to identify fake papers based on the results of decision trees. Use of this method in a case study indicated its effectiveness in identifying a fake paper. This method to identify fake papers is applicable for authors, editors, and publishers across fields to investigate a single paper or to conduct an analysis of a group of manuscripts. Clinicians and others can use this method to evaluate articles they find in a search to ensure they are not fake articles and instead report actual research that was peer reviewed prior to publication in a journal. [ABSTRACT FROM AUTHOR]

Published
2023
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35. Software System for Automatic Grading of Paper Tests

Author

Vladimir Jocovic, Bosko Nikolic, and Nebojsa Bacanin

Subjects
artificial intelligence, automated test assessment, machine learning, paper test, Electronics, TK7800-8360
Abstract

The advent of digital technology has revolutionized numerous aspects of modern life, including the field of assessment and testing. However, paper tests, despite their seemingly archaic nature, continue to hold a prominent position in various assessment domains. The accessibility, familiarity, security, cost-effectiveness, and versatility of paper tests collectively contribute to their continued prominence. Hence, numerous educational institutions responsible for conducting examinations involving a substantial number of candidates continue to rely on paper tests. Consequently, there arises a demand for the possibility of automated assessment of these tests, aiming to alleviate the burden on teaching staff, enhance objectivity in evaluation, and expedite the delivery of test results. Therefore, diverse software systems have been developed, showcasing the capability to automatically score specific question types. Thus, it becomes imperative to categorize related question types systematically, thereby facilitating a preliminary classification based on the content and format of the questions. This classification serves the purpose of enabling effective comparison among existing software solutions. In this research paper, we present the implementation of such a software system using artificial intelligence techniques, progressively expanding its capabilities to evaluate increasingly complex question types, with the ultimate objective of achieving a comprehensive evaluation of all question types encountered in paper-based tests. The system detailed above demonstrated a recognition success rate of 99.89% on a curated dataset consisting of 734,825 multiple-choice answers. For the matching type, it achieved a recognition success rate of 99.91% on 86,450 answers. In the case of short answer type, the system achieved a recognition success rate of 95.40% on 129,675 answers.

Published
2023
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36. The Future of Heritage Science and Technologies: Papers from Florence Heri-Tech 2022.

Author

Furferi, Rocco, Colombini, Maria Perla, Seymour, Kate, Pelagotti, Anna, and Gherardini, Francesco

Subjects
*GEOGRAPHIC information systems, *SCIENTIFIC literature, *SPECTRAL imaging, *ARTIFICIAL intelligence, *ULTRASONIC testing, *WORLD Heritage Sites, *MACHINE learning
Abstract

The article discusses the potential of advanced technologies in the field of cultural heritage. It highlights how these technologies, such as virtual reality, artificial intelligence, and 3D printing, can be used to understand, preserve, and enhance cultural heritage. The article also presents scientific papers from the Florence Heri-Tech International Conference, showcasing the various applications of these technologies. The papers cover topics such as the use of hyperspectral imaging for hieroglyph recognition, the enhancement of user experience in cultural spaces through advanced systems, and the use of non-invasive techniques for conservation. Overall, the article emphasizes the significant impact of technology on the research, preservation, and promotion of cultural heritage. [Extracted from the article]

Published
2024
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37. Artificial Intelligence in Quantitative Ultrasound Imaging: A Survey.

Author

Zhou B, Yang X, Curran WJ, and Liu T

Subjects
Humans, Tomography, X-Ray Computed, Ultrasonography, Workflow, Artificial Intelligence, Machine Learning
Abstract

Quantitative ultrasound (QUS) imaging is a safe, reliable, inexpensive, and real-time technique to extract physically descriptive parameters for assessing pathologies. Compared with other major imaging modalities such as computed tomography and magnetic resonance imaging, QUS suffers from several major drawbacks: poor image quality and inter- and intra-observer variability. Therefore, there is a great need to develop automated methods to improve the image quality of QUS. In recent years, there has been increasing interest in artificial intelligence (AI) applications in medical imaging, and a large number of research studies in AI in QUS have been conducted. The purpose of this review is to describe and categorize recent research into AI applications in QUS. We first introduce the AI workflow and then discuss the various AI applications in QUS. Finally, challenges and future potential AI applications in QUS are discussed., (© 2021 American Institute of Ultrasound in Medicine.)

Published
2022
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38. A Proof-of-Concept Implementation Based on the Framework of AI-Enabled Proactive mHealth: Health Promotion with Motivation

Author

Sulaiman, Muhammad, Håkansson, Anne, Karlsen, Randi, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Roque, Ana Cecília A., editor, Gracanin, Denis, editor, Lorenz, Ronny, editor, Tsanas, Athanasios, editor, Bier, Nathalie, editor, Fred, Ana, editor, and Gamboa, Hugo, editor

Published
2023
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40. Social Media Fake Profile Classification: A New Machine Learning Approach

Author

Kadam, Nitika, Sharma, Sanjeev Kumar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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42. Smart District 4.0 Project: Validation of Results and Exploitation Perspectives

Author

Magaletti, Nicola, Massaro, Alessandro, Cosoli, Gabriele, Leogrande, Angelo, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agapito, Giuseppe, editor, Bernasconi, Anna, editor, Cappiello, Cinzia, editor, Khattak, Hasan Ali, editor, Ko, InYoung, editor, Loseto, Giuseppe, editor, Mrissa, Michael, editor, Nanni, Luca, editor, Pinoli, Pietro, editor, Ragone, Azzurra, editor, Ruta, Michele, editor, Scioscia, Floriano, editor, and Srivastava, Abhishek, editor

Published
2023
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43. Development and Evaluation of an Artificial Intelligence-Based System for Pancreatic Cancer Detection and Diagnosis

Author

Upreti, Kamal, Mittal, Shikha, Vats, Prashant, Haque, Mustafizul, Pawar, Vikas, Haque, Merazul, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Shaw, Rabindra Nath, editor, Paprzycki, Marcin, editor, and Ghosh, Ankush, editor

Published
2023
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44. What Students Can Learn About Artificial Intelligence – Recommendations for K-12 Computing Education

Author

Michaeli, Tilman, Romeike, Ralf, Seegerer, Stefan, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Keane, Therese, editor, Lewin, Cathy, editor, Brinda, Torsten, editor, and Bottino, Rosa, editor

Published
2023
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45. What Type of Leaf is It? – AI in Primary Social and Science Education

Author

Napierala, Stephan, Grey, Jan, Brinda, Torsten, Gryl, Inga, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Keane, Therese, editor, Lewin, Cathy, editor, Brinda, Torsten, editor, and Bottino, Rosa, editor

Published
2023
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47. Enhancing Productivity in Peru’s Public Works Value Chain Through AI Monitoring: A Paradigm Shift

Author

Miranda-Hospinal, Oscar, Valle-Cruz, David, Yrivarren-Lazo, Jorge, Yula-Inca, Carlos, Ronceros-Ponce, Kevin, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Ortiz-Rodríguez, Fernando, editor, Tiwari, Sanju, editor, Usoro Usip, Patience, editor, and Palma, Raul, editor

Published
2023
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48. Asynchronous Execution of Heterogeneous Tasks in ML-Driven HPC Workflows

Author

Pascuzzi, Vincent R., Kilic, Ozgur O., Turilli, Matteo, Jha, Shantenu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Klusáček, Dalibor, editor, Corbalán, Julita, editor, and Rodrigo, Gonzalo P., editor

Published
2023
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49. Comprehensive Study of Cyber Security in AI Based Smart Grid

Author

Sanghavi, Priyansh, Solanki, Riya, Parmar, Viral, Shah, Kaushal, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Singh, Mayank, editor, Tyagi, Vipin, editor, Gupta, P.K., editor, Flusser, Jan, editor, and Ören, Tuncer, editor

Published
2023
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